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SoE 2009

State of Environment of the Black Sea

(2001-2006/7)

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Citing

© 2008, Commission on the Protection of the Black Sea Against Pollution

ISBN 978-9944-245-33-3

For bibliographic purposes this document may be cited as:

BSC, 2008. State of the Environment of the Black Sea (2001 - 2006/7). Edited by Temel Oguz. Publications of the Commission on the Protection of the Black Sea Against Pollution (BSC) 2008-3, Istanbul, Turkey, 448 pp.

This document has been prepared with the financial assistance of the European Union.

The designations employed and the presentation of the material in this publication do not imply the expression of any opinion whatsoever on the part of the Commission on the Protection of the Black Sea Against Pollution nor of the European Union concerning the legal status of any country, territory, city or area or of its authorities, or concerning delimitation of its frontiers or boundaries. Moreover, the views expressed do not necessarily represent the decision or the stated policy of the Commission on the Protection of the Black Sea Against Pollution nor of the European Union, nor does citing of trade names or commercial processes constitute endorsement.

This publication may be reproduced in whole or in part and in any form for educational or non-profit purposes without special permission from the copyright holder, provided acknowledgement of the source is made. Commission on the Protection of the Black Sea Against Pollution would appreciate receiving a copy of any publication that uses this publication as a source.

No use of this publication may be made for resale or for any other commercial purpose whatsoever without prior permission in writing from the Permanent Secretariat of the Black Sea Commission on the Protection of the Black Sea Against Pollution.

Cover design: Nilufer Akpinar

Cover images: Photos of Mnemiopsis leidyi and Beroe ovata by Ahmet E. Kideys; Satellite images are from EC-Joint Research Centre, Global Environment Monitoring Unit Ocean Colour Archive, http://oceancolour.jrc.ec.europa.eu/; as presented in Fig. 2.4.8a of this report.

Published by Referans Çeviri Hizmetleri, Yazılım ve Yayıncılık Ltd. on behalf of the Commission on the Protection of the Black Sea Against Pollution. Printing and binding: Artus Basım Tel: (0212) 289 88 80

Preface and Acknowledgements

More than 60 prominent scientists working on the Black Sea ecosystem have contributed to this report. Despite this is the most comprehensive report on the State of Environment of the Black Sea for the period 2001-2007, limitation in the systematically collected data and indicators, makes a conclusive inference difficult on the real state of the ecosystem of this sea.

Chapter 1, within two sub-chapters, presents introductory information on the Black Sea physico-chemical characteristics and geology/history. Chapter 2 deals with one of the most important problems of the Black Sea, the Eutrophication. Chapter 3, dealing with Chemical Pollution, has several subchapters of different pollutant groups. Radioactive pollution is dealt in Capter 4. States of phytoplankton, zooplankton, macrophytobenthos, zoobenthos are presented in Chapters 5, 6, 7 and 8, respectively. The fisheries is the subject of Chapter 9 and mammals of Chapter 11. Socio-economic pressures and impacts are included in Chapter 11. The overall assessment of the report summarizing all these issues is given in Chapter 12.

Contributions to Chapter 4 were provided with partial support from the International Atomic Energy Agency's Technical Co-operation Project RER/2/003 for "Marine Environmental Assessment in the Black Sea Region.

Thanks to UNDP/GEF BSERP Project personnel and earlier Permanent Secretariat staff for their support at the initial stages of the preparation of this report, all authors and especially to the chief editor Prof Temel Oguz for their scientific contributions, to the Advisory Group members of the Commission on the Protection of the Black Sea Against Pollution for their comments, Mr Kiril Iliev for formatting, Ms Nilufer Akpınar for preparing for printing and all other organizations and people who kindly provided data, information and other input. Special thanks go to Dr Violeta Velikova, not only for her personal scientific contribution in the entire report, but also for her organizational and thorough efforts making compilation of this comprehensive report possible.?

Prof Ahmet E. Kideys

Executive Director

Permanent Secretariat

Commission on the Protection of the Black Sea Against Pollution

Dolmabahce Sarayı, 2. Hareket Koşku,

34353 Beşiktaş, Istanbul, Turkey

Authors of the State of Environment Report

Valeria Abaza, National Institute for Marine Research and Development "Grigore Antipa" (NIMRD), Constanta, Romania abaza@alpha.rmri.ro

VladimirAkatov, Maykop State Technological University, Maykop, Russia

Yelda Aktan, Faculty of Fisheries, Istanbul University, Istanbul, Turkey yaktan@istanbul.edu.tr

Elena Arashkevich, P.P.Shirshov Institute of Cceanology Russian Academy of Sciences, Russian Federation aelena@ocean.ru

Alexei Birkun,Jr., Brema Laboratory,

Simferopol, Ukraine alexeibirkun@home.cris.net

Laura Boicenco, National Institute for Marine Research and Development "Grigore Antipa" (NIMRD), Constanta, Romania laura_boicenco@cier.ro

Margarita V. Chikina, P.P.Shirshov Institute of Oceanology, RAS, Moscow, Russia

AdrianaCociasu, National Institute for Marine Research and Development (NIMRD), Constanta, Romania acociasu@alpha.rmri.ro

Georgi M. Daskalov, CEFAS Lowestoft laboratory, Lowestoft, Suffolk, United Kingdom georgi.daskalov@cefas.co.uk

Kristina Dencheva, Institute of Oceanology, Bulgarian Academy of Sciences, Varna, Bulgaria,

Yury Denga, Ukrainian Scientific Centre of the Ecology of Sea, Odessa, UKRAINE lawmd@te.net.ua

Camelia Dumitrache, National Institute for Marine Research and Development"Grigore Antipa" (NIMRD), Constanta, Romania iulia@alpha.rmri.ro

Victor N.Egorov, The A.O. Kovalevsky Institute of Biology of the Southern Seas, NASU, Sevastopol, Ukraine v.yegorov@ibss.org.ua 

Sergei B. Gulin, The A.O. Kovalevsky Institute of Biology of the Southern Seas, NASU, Sevastopol, Ukraine

Vakhtang Gvakharia, Gamma, Tbilisi, GEORGIA

TsiuriGvarishvili, Georgian Marine Ecology and Fisheries Research Institute (MEFRI), Batumi, Georgia ciuri-gvarishvili@rambler.ru

Ludmila Kamburska, Institute of Oceanology, Bulgarian Academy of Sciences, Varna, Bulgaria lyudmila.kamburska@jrc.it

MeryKhalvashi, Georgian Marine Ecology and Fisheries Research Institute, Batumi, Georgia merikhal@rambler.ru

Ahmet Erkan Kideys, Bahcelievler Mahallesi, Aki Sokak, No 11, Uskudar, Istanbul, Turkey kideys@gmail.com

Douglas Knowler, School of Resource and Environmental Management Simon Fraser University, Burnaby, British Columbia, Canada djk@sfu.ca

Tzenka Konsulova, Institute of Oceanology, BAS, Varna, Bulgaria konsulova@io-bas.bg

Alexander Korshenko, State Oceanographic Institute, Moscow, RUSSIA korshenko@mail.ru

Nikita V. Kucheruk, P.P.Shirshov Institute of Oceanology, RAS, Moscow, Russia kucheruk@ocean.ru

Gennady V. Laptev, Ukrainian Hydrometeorological Institute, Kiev, Ukraine

Nino Machitadze, Gamma, Tbilisi, Georgia n_machitadze@yahoo.com

Olga V.Maximova,, P.P.Shirshov Institute of Oceanology RAS, Moscow, Russian Federation

EteriMickashavidze, Georgian Marine Ecology and Fisheries Research Institute (MEFRI), Batumi, Georgia

VeselinaMihneva, Institute of Fishing Resources, Varna, Bulgaria

Alexander Mikaelyan, P.P.Shirshov Institute of Oceanology RAS, Moscow, Russia mikael@ocean.ru

GalinaMinicheva, Odessa Branch, Institute of Biology of the Southern Seas, NASU, Odessa, Ukraine minicheva@eurocom.od.ua

Natalia Yu. Mirzoyeva, The A.O. Kovalevsky Institute of Biology of the Southern Seas, NASU, Sevastopol, Ukraine

SnejanaMoncheva, Institute of Oceanology,

Bulgarian Academy of Sciences, Varna, Bulgaria snejm@mail.varna.techno-link.com

Natalia A. Moruchkova, P.P.Shirshov Institute of Oceanology RAS, Moscow, Russian Federation

Eteri Musaeva, P.P.Shirshov Institute of oceanology Russian Academy of Sciences

Dina Nesterova, Odessa Branch, Institute of Biology of the Southern Seas, NASU, Odessa, Ukraine

Alexei I. Nikitin, SE SPA "Typhoon" of Roshydromet, Obninsk, Russia

TemelOguz, Institute of Marine Sciences, Middle East Technical University, Erdemli, Turkey oguz@ims.metu.edu.tr

AndraOros, National Institute for Marine Research and Development, Constanta, Romania andra@alpha.rmri.ro

Iolanda Osvath, Marine Environment Laboratories, International Atomic Energy Agency, Monaco

I.Osvath@iaea.org

Bayram Ozturk, Turkish Marine Research Foundation (TUDAV), Istanbul, Turkey ozturkb@istanbul.edu.tr

NicolaePanin, National Institute of Marine Geology and Geo-ecology GeoEcoMar, Romania panin@geoecomar.ro

G.G. Polikarpov, The A.O. Kovalevsky Institute of Biology of the Southern Seas, NASU, Sevastopol, Ukraine

LeonidPolishchuk, Odessa Branch, Institute of Biology of the Southern Seas, NASU, Odessa, Ukraine

Nikolai Revkov, Institute of Biology of the Southern Seas, NASU, Sevastopol, Ukraine nrevkov@yandex.ru

Fatih Sahin, Sinop University, Fisheries Faculty, 57000 Sinop, Turkey fthshn@hotmail.com

Alis Sburlea, National Institute for marine research and development "Grigore Antipa", Constanta, Romania,

MuratSezgin, Sinop University, Faculty of Fisheries, Sinop, Turkey msezgin@omu.edu.tr

Tamara Shiganova,, P.P.Shirshov Institute of oceanology Russian Academy of Sciences shiganova@ocean.ru

Vladislav A. Shlyakhov, YugNIRO, Kerch, Crimea, Ukraine fish@kerch.com.ua

Uliana V. Simakova, P.P.Shirshov Institute of Oceanology RAS, Moscow, Russian Federation

KremenaStefanova, Institute of Oceanology, Bulgarian Academy of Sciences, Varna, Bulgaria stefanova@www.io-bas.bg

Nikolai A.Stokozov, The A.O. Kovalevsky Institute of Biology of the Southern Seas, NASU, Sevastopol, Ukraine

Ahmet Nuri Tarkan, Mugla University, Faculty of Fisheries Mugla, Turkey tarkann@mu.edu.tr

FlorinTimofte, National Institute for Marine Research and Development "Grigore Antipa" (NIMRD), Constanta, Romania

Valentina Todorova, Institute of Oceanology, BAS, Varna, Bulgaria vtodorova@io-bas.bg

FundaUstun, Sinop University, Fisheries Faculty, Sinop, Turkey fundaustun@hotmail.com

MadonnaVarshanidze, Georgian Marine Ecology and Fisheries Research Institute (MEFRI), Batumi, Georgia mvarshanidze@yahoo.com

Violeta Velikova, 29 Inebolu Sokak, Kabatas, Istanbul, Turkey velikova_violeta@yahoo.com

AlexanderVershinin, P.P. Shirshov Institute of Oceanology Academy of Sciences, Russian Federation, alexander.vershinin@yahoo.com

Oleg V. Voitsekhovych, Ukrainian Hydrometeorological Institute, Kiev, Ukraine voitsekh@voi.vedos.kiev.ua

Table of Contents

Table of Contents ix

List of Tables xiii

List of figures xvii

CHAPTER 1A. GENERAL OCEANOGRAPHIC PROPERTIES:  PHYSICO-CHEMICAL AND CLIMATIC FEATURES (T. Oguz)

1A.1. Main physical and chemical features

1.2.2. Circulation characteristics

1.2.3. Climatic properties

CHAPTER 1B GENERAL OCEANOGRAPHIC PROPERTIES:  GEOGRAPHY, GEOLOGY AND GEOCHEMISTRY (N. Panin)

1B.1 Geographic position and physiography

1B.2. Geology of the Black Sea

1B.3. Water and sediment supply from rivers

1B.4. Sedimentary systems of the Black Sea

1B.5. Past environmental and sea level changes in the Black Sea

CHAPTER 2 THE STATE OF EUTROPHICATION (T. Oguz et al.)

2.1. Introduction_

2.2. Long-term changes in river nutrient loads

2.3. Long-term changes in nutrient concentrations

2.4. Surface chlorophyll concentration_

2.5. Surface and near-bottom oxygen concentrations

2.6. Conclusions and key assessments

CHAPTER 3 THE STATE OF CHEMICAL POLLUTION (A. Korshenko et al.)

3.1. The State Of Total Petroleum Hydrocarbons (TPHs)

3.1.1. Water

3.1.2. Bottom Sediments

3.2. The State Of Chlorinated Pesticides

3.2.1. Water

3.2.2. Bottom Sediments and Biota

3.3. The State Of Trace Metals

3.3.1. Ukrainian sector of the Black Sea - Northwestern region

3.3.2. Russian sector of the Black Sea - Northeastern region_

3.3.3. Georgian sector of the Black Sea - Southeastern region

3.3.4. Romanian sector of the Black Sea – Western region_

CHAPTER 4 THE STATE OF RADIOACTIVE POLLUTION (V. Egorov et al.)

4.1. Introduction_

4.2. Concentrations and inventories of radionuclides in the water column_

4.3. Concentrations and inventories of radionuclides in sediment

4.4.  Radionuclides in marine biota

4.5. Conclusions

CHAPTER 5 THE STATE OF PHYTOPLANKTON (D. Nesterova et al.)

5.1. Introduction_

5.2. Species composition_

5.3. Long-term changes in algal blooms

Romanian shelf area:

5.3. Seasonal dynamics

5.4. Conclusions and recommendations

Appendix_

CHAPTER 6 THE STATE OF ZOOPLANKTON (T. Shiganova et al.)

6.1. Introduction_

6.2. Ukrainian shelf area

6.3. Romanian shelf area

6.4. Bulgarian shelf area

6.5. Turkish shelf area

6.6. Georgian shelf area

6.7. Northeastern shelf area

6.8. Conclusions

CHAPTER 7 THE STATE OF MACROPHYTOBENTHOS (G. Minicheva et al.)

7.1. Introduction_

7.2. Ukrainian shelf area

7.3. Romanian shelf area

7.4. Bulgarian shelf area

7.5. Turkish shelf area

Seagrasses (Magnoliphyta)

7.6. Northeastern (Russian) shelf area

7.7. Conclusions

CHAPTER 8 THE STATE OF ZOOBENTHOS (N. Revkov et al.)

8.1. Introduction_

8.2. Ukrainian shelf area

8.3. Romanian shelf area

8.3.1. Peculiarities of zoobenthos during the previous state of ecosystem_

8.3.2. Peculiarities of zoobenthos during the present state of ecosystem_

8.4. Bulgarian shelf area

8.4.1. Characteristics of major zoobenthic communities

8.4.2. Spatial patterns of diversity, abundance and biomass distribution

8.4.3. Assessment of recent ecological state

8.4.4. Long-term trends in species diversity, abundance and biomass

8.5. Turkish Shelf waters

8.6. Georgian shelf area

8.7. Russian Shelf Waters

8.8. Conclusions

CHAPTER 9 THE STATE OF MARINE LIVING RESOURCES (V. Shlyakhov & G. Daskalov)

9.1. Introduction_

9.2. The state of key anadromous fishes

9.2.1. Sturgeons

9.2.2. Pontic shad

9.3. The state of key pelagic fishes

9.3.1. Sprat

9.3.2. Black Sea anchovy_

9.3.3. Horse mackerel

9.3.4. Ecosystem effects on pelagic fisheries

9.4. The state of populations of key demersal fishes

9.4.1. Whiting

9.4.2. Picked dogfish

9.4.3. Turbot

9.4.4. Striped and red mullets

9.4.5. Mullets (Mugilidae)

9.5. Commercial mollusks

9.5.1. Mediterranean mussel

9.5.2. Sea snail (Rapana spp.)

9.5.3. Сlams

9.6. Water plants

9.7. Conclusions

CHAPTER 10 THE STATE OF CETACEAN POPULATIONS (A. Birkun)

10.1. Introduction_

10.2. Harbour porpoise (Phocoena phocoena relicta Abel, 1905)

10.2.1. Taxonomy and genetics

10.2.2. Distribution_

10.2.3. Abundance

10.2.4. Habitat and ecology

10.2.5. Life history

10.2.6. Past and ongoing threats

10.2.7. Population trend

10.3. Short-beaked common dolphin (Delphinus delphis ponticus)

10.3.1. Taxonomy and genetics

10.3.2. Distribution_

10.3.3. Abundance

10.3.4. Habitat and ecology

10.3.5. Life history

10.3.6. Past and ongoing threats

10.3.7. Population trend

10.4. Common bottlenose dolphin (Tursiops truncatus ponticus)

10.4.1. Taxonomy and genetics

10.4.2. Distribution_

10.4.3. Abundance

10.4.4. Habitat and ecology

10.4.5. Life history

10.4.6. Past and ongoing threats

10.4.7. Population trend

10.5. Conservation tools and strategies

10.5.1. National instruments

10.5.2. International and regional instruments

10.5.3. The IUCN status

10.5.4. Conservation plan for Black Sea cetaceans

10.6. Conclusions

Appendix A.  Examples of cetacean research and conservation projects implemented in the Black Sea region in 2002–2006

Appendix B. Conservation Plan for Black Sea Cetaceans: aims of actions proposed

Appendix C. Conservation Plan for Black Sea Cetaceans: actions and activities of high priority

CHAPTER 11 SOCIO-ECONOMIC PRESSURES AND IMPACTS (D. Knowler)

11.1. Introduction_

11.2. Valuing the Environmental Goods and Services Provided by the Black Sea

11.3. Socio-economic and Institutional Pressures

11.4. Consequences of Environmental Change in the Black Sea

11.4.1 Fisheries

11.4.2 Tourism_

11.4.3 Health_

11.5. Sustainability: Progress and Prospects

11.6. Conclusions

CHAPTER 12 OVERALL ASSESSMENT OF THE PRESENT STATE OF BLACK SEA ECOSYSTEM (T. Oguz et al.)

12.1. Introduction_

12.2. Mesoscale variability of the circulation system_

12.3. Climatic regulation of the Black Sea

12.4. Eutrophication/Nutrient enrichment

12.5. Chemical pollution_

12.6. Biodiversity change, habitat destruction, alien species invasions

12.7. Status of marine living resources

12.8. Conclusions

List of Tables

Table 1B.1. Fluvial water and sediment discharge into the Black Sea. *Data from Balkas et al. (1990); ** multiannual mean discharge before damming the River Danube after Bondar (1991); Panin (1996).

Table 1B.2. Stratigraphy and correlations of Upper Quaternary phases for the coastal and inner shelf zones (with slight modification from Fedorov, 1978).

Table 1B.3. Stratigraphy and correlations of Upper Quaternary phases for shelf and bathyal zones (with slight modification from Scherbakov et al., 1979).

Table 2.2.1. The sources and causes of nutrient enrichment in the western coastal waters of the Black Sea.

Table 2.2.2 Annual-mean river-borne nutrient loads (in kilotonnes y-1) into the Black Sea from each country during 2003-2005 (from TDA, 2007). The superscripts (a) and (b) denote the estimates based on the TNMN measurements at Reni and the NMRD measurements at Sulina discharge point, respectively.

Table 2.3.1. Multi-annual mean surface nutrient concentrations (μM) in Constanta (after Velikova and Cociasu, 2004).

Table 2.3.2. Annual and regional-mean concentrations of phosphorus and nitrogen species in Bulgarian coastal waters during 2001-2003. TP, TN and ON refer to total phosphorus, total nitrogen and organic nitrogen, respectively. All values are expressed in μM (after Velikova and Cociasu, 2004).

Table 2.3.3. Multi-annual mean nutrient ratios in Romanian surface coastal waters, the Bay of Varna and Bulgarian coastal waters (BW) as an average of all measurements within the 50 km zone (after Velikova and Cociasu, 2004)

Table 3.1.1. The average concentration of TPHs (mg/l) in different part of the Black Sea measured during the September-October 2000 IAEA Cruise.

Table 3.1.2. The average and maximum concentrations of TPHs (mg/l) in Ukrainian part of the Black Sea, 2000-2005.

Table 3.1.3. Annual average (above) and maximum concentrations (below) of TPHs (mg/l) in Ukrainian coastal waters of the Black Sea, 2000-2004 [4].

Table 3.1.4. The average and maximum concentration of TPHs (mg/l) in the surface coastal waters of Romanian part of the Black Sea, 2001-2005.

Table 3.1.5. TPHs concentrations in different water layers along the Russian coast in 2002-2006.

Table 3.1.6. Mean concentration of TPHs (mg/l) and number of measurements (in parantheses) in the different zones of Russian coastal waters in 2002 – 2006.

Table 3.1.7. Annual variation of the mean concentration of TPHs (mg/l) in Russian coastal waters in 2002 – 2006.

Table 3.1.8. Seasonal variation of the mean concentration of TPHs (mg/l) in Russian coastal waters in 2002 – 2006.

Table 3.1.9. Maximum and mean concentration of Total Petroleum Hydrocarbons (mg/l) in the Black Sea waters in 1992 – 2006.

Table 3.1.10. The mean concentration of TPHs (µg/g) and number of measurements within monitoring programme in the different sites of Romanian coast in 2005.

Table 3.1.11. The concentration of TPHs (µg/g) and other physical and chemical parameters of the bottom sediments of the Georgian part of the Black Sea in June 2006 [9].

Table 3.1.12. Maximum and mean concentration of TPHs (µg/g) in the bottom sediments of the Black Sea in 1995 – 2006.

Table 3.2.1. Maximum and average concentration of pesticides (ng/l), and number of observations (in parantheses) in marine waters of the Black Sea in 1992 – 2005.

Table 3.2.2. The average concentration of chlorinated pesticides (ng/l) in the different zones of Russian costal waters in July 2005.

Table 3.2.3. The average concentration of pesticides in the bottom sediments in the North-Western Shelf of Ukrainian waters, ng/g.

Table 3.2.4. The concentration (ng/g) of organic pollutants in biota and bottom sediments along the Russian coast in August-September 2003.

Table 3.2.5. Maximum and mean concentration of pesticides (ng/g), and number of measurements (in parentheses) in the bottom sediments of the Black Sea in 1993 – 2006.

Table. 3.2.6. The repetitions of high γ-HCH concentration in the bottom sediments exceeds the PL 0.05 ng/g in the different sets of samples (in per cent).

Table. 3.2.7. The repetitions of high DDTs concentration in the bottom sediments exceeds the PL 2.5 ng/g in the different sets of samples (in per cent).

Table 3.3.1. The trace metals concentration (µg/l) in Ukrainian waters of the Black Sea in December 2004 - January 2005 (25th cruise of R/V “Vladimir Parshin”).

Table 3.2. The trace metals concentration (µg/g) in the bottom sediments of Ukrainian part of the Black Sea in December 2004 - January 2005 (25 cruise of R/V “Vladimir Parshin”).

Table 3.3.3 The trace metal concentration (µg/g) in the bottom sediments of Phyllophora field and NW Shelf of the Black Sea in July-August 2007 (26 cruise of R/V “Vladimir Parshin”).

Table 3.3.4 Metal concentration (μg/g) in bottom sediments measured during June-July 2002 to the south of Taman.

Table 3.3.5. The metals concentration (μg/g) in the bottom sediments of Georgian shelf in 1993-1995 and 2000.

Table 4.1. The dynamics of 137Cs and 90Sr levels (Bq m-3) in surface waters of the North-Eastern Black Sea near the Russian Coast.

Table 4.3. The ranges of 137Cs and 90Sr concentrations in marine biota (Bq kg-1 w.w.) from coastal measurements performed by the riparian countries in the years 2000-2005.

Table 5.1. Taxonomic composition of Black Sea phytoplankton in Ukraine waters.

Table 5.3. Phytoplankton species distributed along the Turkish Coast of Black Sea.

Table 5.5. Mean phytoplankton density and biomass in the shallow waters in front of Constanta and number of blooms registered in Romanian marine waters during different periods.

Table 5.2. Abundance (cells/l) and biomass (mg/m3) of dominant and blooming phytoplankton species along the Bulgarian shelf in different periods.

Table 5.4. Maximum abundance (million cells/l) of species that caused phytoplankton blooms in the northwestern Black Sea in the 1954-1960s and in 1973-2005.

Table 6.1. Long-term dynamics of biomass (mg∙m-3) of the main species of zooplankton of the northwestern Black Sea (provided by Polischuk and Nastenko (1998) and Polyshchuk (2005) up to 1999, modified by L. Polishchuk afterwards).

Table 6.2. Average multiyear biomass (mg∙m-3) of total zooplankton and its main components in the 0-100 m layer in offshore areas near the southern Crimean coast.

Table 6.3. Biomass (mg∙m -3) of main groups of dominating zooplankton species in the Danube estuary area in May and November 2004–2005.

Table 6.4. Long-term changes in annual and/or multi-annual average abundance (ind∙m-3) of main zooplankton species in the Sevastopol Bay.

Table 6.5. Mean density (ind∙m-3) and biomass (mg∙m-3) of Noctiluca scintillans along the Romanian continental shelf during the 1970s and 1980s.

Table 6.6. Taxonomic composition of dominant groups in spring-summer at 3 miles station at Cape Galata (st. 301) including Varna Bay.

Table 6.7. Number of zooplankton species (S), the Shannon-Wiener index (H) and the Pielou’s evenness index (J) by years in summer-autumn in the Varna Bay.

Table 6.8. Summer mean abundance of dominant taxonomic groups [ind.m-3] at 3 miles offshore of the Cape Galata.

Table 6.9. Mesozooplankton biomass statistics by areas (shelf, open sea) during summer period 1998-2001 (number of observations, n=250).

Table 6.10. Annual changes of the trophic zooplankton biomass (mg∙m-3) in the south-eastern part of the Black Sea.

Table 7.1. Number of macroalgae species (underlined) and its percentage (bold) in the total floristic composition of the northwestern coastal waters of the Black Sea (Milchakova, 2007; Eremenko, Minicheva, Kosenko, 2006).

Table 7.2. Long term changes in the species composition of algae of the Zernov Phyllophora Field.

Table 7.3. Variability of morphological structure of thallus for some common macroalgae of the Ukrainian coast.

Table 7.4. The periods of alteration of community structural-functional organization for the macrophytobenthos of northwestern part of the Black Sea.

Table 7.5. Number of macroalgal species at the Romanian coast, between 1977 and 2005 by different authors.

Table 7.6. Changes in species structure of different types of macrophytes in Varna Bay.

Table 7.7. Changes in saprobic structure of macrophytes in Varna Bay in the years of investigation.

Table 7.8. Bulgarian and Black Sea macroalgae taxonomic composition.

Table 7.9. Comparison of floristic indices along the Bulgarian coastline.

Table 7.10. Benthic algae and macrophytes diversity from different areas in the Black Sea coast of Turkey (Aysel et al., 2005).

Table 7. 11. Dominancy in division level among of Black Sea coast of Turkey (Aysel et al., 2005).

Table 8.1. Basic taxa of macrozoobenthos along the NW and Crimean coastlines.

Table 8.2. Quantity indicators of development of bottom biocenoses on the NWS shelf during 1983 â€“ 2003 (Sinegub, 2006).

Table 8.3. Quantity indicators of development of bottom biocenoses at the Crimean shores during 1980 â€“ 2004.

Table 8.4. Habitat features, average ± conf. lev. 95 % of the number of species (S), abundance, biomass, and Shannon-Wiener community diversity H' index of soft bottom macrozoobenthic communities on the Bulgarian Black Sea shelf, summer 1998-2002.

Table 8.5. Species richness of zoobenthos over the Black Sea and along the Anatolian coast (Sezgin et al., unpublished data)

Table 8.6. Some indicator zoobenthic species in the southern Black Sea.

Table 8.7. Quantitative characteristics of the benthic communities in Georgian Black Sea waters in 2003-05.

Table 8.8. Number of stations made during surveys on R/V “Akvanavt”.

Table 9.1. The total and individual populations of the Russian and Starred sturgeon and Beluga in the Rivers Dnieper and Danube in 1996 – 2006, in million individuals per year. Data sources: for RO – R. Reinartz (2002), for BG and UA – BSIS (2007).

Table 9.2. Length-weight and age characteristics of mature Russian and starred sturgeons in the Ukrainian Danube in 2003.

Table 9.3. Mean annual and unreported catches and total abundance of Russian sturgeon according to the data of trawl surveys in 1988 – 2005 in the Sea of Azov (assessments of unreported catch were taken from Shlyakhov et al., 2005).

Table 9.4. Whiting and picked dogfish catches in the Black Sea according to the official statistics. The last three rows provide the average catches for the periods indicated in the subscripts.

Table 9.5. Whiting stock in the Russian waters in the northeastern Black Sea (thousand tons) (taken from the TDA Technical Task Team National Experts – Russian Federation Report, 2006).

Table 9.6. Fish stocks protection measures for whiting implemented by the Black Sea countries.

Table 9.7. Commercial stock of picked dogfish in the Black Sea and along the coast of the former USSR and in the water of Ukraine in 1989 – 2005, thousand tons.

Table 9.8. Turbot catches in the Black Sea in 1989 – 2005 in tons. The last three rows show the average catches for the years indicated in the subscripts.

Table 9.9. Some studies carried out in the Black Sea regions on turbot stocks.

Table 9.10. Biomass and catches of the turbot of the Black Sea in the waters of Ukraine in 1996 – 2006 (tons), mean fishing mortality, relevant to its official catches in 1992 – 1995 and 1996 – 2005.

Table 9.11. Landings of mullets in the Black Sea according to the official statistics (tons).

Table 9.12. Landings of Mediterranean mussel and sea snail in the Black Sea (tons).

Table 9.13. Indicators for the fisheries in the Black Sea for 1970 – 2005 (Caddy’s method) .

Table 10.1. Taxonomic status of Black Sea marine mammals.

Table 10.2. Geographic range of Black Sea cetaceans.

Table 10.3. Estimates of Black Sea cetaceans density (individuals per 1 km2) and absolute abundance in the selected maritime areas  (values of 95% confidence interval are enclosed in brackets).

Table 10.4. Target fish species of Black Sea cetaceans (+ – prey species confirmed by identification of food residues in stomach contents of the cetaceans; ± – suspected prey species listed on base of indirect evidences)

Table 10.5. Life history parameters of Black Sea cetaceans.

Table 10.6. Known (documented) threats to Black Sea cetaceans1

Table 11.1. Estimated Value of Black Sea Coastal Wetlands (US$/ha/yr)

Table 11.2. Living Marine Resources of the Black Sea and their Values.

Table 11.3. Demographic Data for the Black Sea Countries and their Coastal Zones, Selected Years.

Table 11.4. Selected Economic Data for the Black Sea Countries, 1995 to 2000 and 2001 to 2005.

Table 11.5. Potential Long Run Profits in the Black Sea Anchovy Fishery for the Pre-Mnemiopsis and Mnemiopsis Periods (US$ thousands, 1989/90 prices).

Table 11.6. Fishery Statistics for the Black Sea during 1995-2000 and 2001-2005.

Table 11.7... General Tourism Statistics for Black Sea Countries.

Table 11.8. Estimated Annual Loss of Tourism Value from Environmental Deterioration of the Black Sea in the Mid-1990s.

Table 11.9. Degree of Health Risk Associated with Various Aspects of Black Sea Pollution.

Table 11.11. Preliminary Socio-economic Indicators for the Black Sea.

Table 12.1. Ranges and average values of Chl-a concentration (mg m-3) near the Zmeiny Island of the northwestern shelf during summer months of 2003–2007 (after Kovalova et al., 2008).

List of figures

Fig. 1A.2.1. Vertical variations of temperature (oC) and density (expressed in terms of sigma-t, kg m-3) at various locations of the interior basin during different months representing different types of vertical structures (the data are retrieved from the IMS-METU data base; http: sfp1.www.ims.metu.tr/ODBMSDB/).

Fig. 1A.2.2.  O2 and H2S profiles (left) and NO3, NO2 and NH4 profiles (right) versus density expressed in sigma-t (kg m-3) in the center of the eastern gyre of the Black Sea during May 2003. The data source: http://www.ocean.washington.edu/cruises/Knorr2003/index.html.

Fig. 1A.2.3. Vertical distribution of temperature (T), salinity (S), transmission (Trans), oxygen (O2), hydrogen sulfide (H2S), total manganese (Mn2+), silicates (Si), nitrates (NO3), nitrites (NO2), ammonia (NH4), urea (Urea), phosphates (PO4), and organic phosphorus (Porg) at a summer station near Gelendzhik, along the eastern coast of the Black Sea. Concentrations of chemical parameters are in μM (after Yakushev et al., 2005).

Fig. 1A.2.4. A typical structure of the upper layer circulation field deduced from a circulation model using assimilation of altimeter sea level anomaly data as described by Korotaev et al. (2003).

Fig. 1A.2.5. SeaWiFS chlorophyll distributions showing two alternative forms of circulation structure in the northwestern shelf; (a) a southward coastal current system during days 152-155 (early June) and (b) a closed circulation system confined into its northern sector during days 194-197 (mid-July), 1998 (from Oguz et al., 2001).

Fig. 1A.2.6 Schematic diagram for major quasi-permanent/recurrent features of the upper layer circulation identified by synthesis of hydrographic studies and analysis of the sea level anomaly altimeter data (modified from Korotaev et al. 2003).

Fig. 1A.2.7 Long-term variations of the river discharge, precipitation, evaporation (km3 y-1) for the Black Sea together with net water flux and the corresponding net Bosphorus inflow from the Black Sea (after Ilyin et al., 2006).

Fig. 1A.2.8. Yearly changes of the Danube discharge (km3 y-1) during 1960-2005 (data provided by A. Cociasu).

Fig. 1A.2.9. Monthly changes of the Danube discharge (km3 y-1) during 1993-2005 (blue) and its annual-mean variations (green) (data provided by A. Cociasu).

Fig. 1A.2.10. Long-term variations of the basin-averaged winter-mean (December-March) Sea Surface Temperature (SST) during 1960-2005 using the monthly data sets of Hadley Centre-UK Meteorological Office (blue), GISST (Kasmin and Zatsepin, 2007; red), NCEP-Reynolds 1o resolution AVHRR (violet), Pathfinder5 4 km resolution AVHRR (black), minimum temperature of the Cold Intermediate Layer for the mean of May - November period (green), and the winter-mean (December-March) SST measured near Constanta (Romanian coast). All these data were plotted after smoothed by the three point moving average.

Fig. 1A.2.11. The mean SST distribution in February for 2001 and 2003 obtained from 9 km monthly-mean, gridded NOASS/NASA AVHRR Oceans Pathfinder data set (after Oguz et al., 2003). The curve (in white colour) shows 200 m bathymetry.

Fig. 1A.2.12. Annual-mean (triangles) and August (dots) SST variations obtained by the basin-averaging of 9 km monthly-mean, gridded NOASS/NASA AVHRR Oceans Pathfinder data, and annual-mean (stars) and August (squares) SST variations measured at Constanta (Romanian coast) and along the northeastern coastal waters (crosses; Shiganova, 2005).

Fig. 1A.2.13a. Long-term variations of the detrended sea level anomaly (blue) after high frequency oscillations have been filtered by the three point moving average and its comparison with annual mean sea level anomaly retrieved from satellite altimeter measurements (after Oguz et al., 2006).

Fig. 1A.2.13b. Comparision of the detrended monthly-mean sea level anomaly obtained from the basin-averaged altimeter data (black) and the mean of 12 coastal sea level stations around the basin (blue)  (after Goryachkin et al.,  2003).

Fig. 1A.2.14. Monthly (blue) and yearly (green) SLA changes in the Black Sea during 1993-2006 together with its long-term trend (brown) and two shorter term trends (yellow) for 1993-1999, 1999-2003, and 2003-2006.

Fig. 1A.2.15. Winter (December-March) mean air temperature anomaly variations measured at the meteorological station near the Kerch Strait (red) and obtained by averaging of the GISST data for the basin (green), and winter (December-March) mean surface atmospheric pressure (hPa) obtained by averaging ERA40 data over the basin (blue).  High frequency oscillations in the data have been filtered by the three point moving average.

Fig. 1A.2.16. Long-term variations of the winter North Atlantic Oscillation index (blue), East Atlantic-West Russia (EAWR) index (green) and Iceland sea surface temperature (red). High frequency oscillations in the data have been filtered by the five point moving average.

Fig. 1B.1. Geomorphologic zoning of the Black Sea (after Ross et al.,1974, Panin and Ion, 1997).

Fig. 1B.2. Tectonic sketch of the Black Sea Region (after Dinu et al., 2003; Panin et al., 1994).

Fig. 1B.3. The decreasing trend of the Danube River sediment discharge after damming (Iron Gates I barrage in 1970, Iron Gates II barrage in 1983).

Fig. 1B.4. Main sedimentary environments in the northwestern Black Sea (after Panin et al., 1998).

Fig. 1B.5. Repartition of litho-stratigraphic units on the sea floor in the NW Black Sea (from S. Radan, unpublished data).

Fig. 1B.6. Plaeo-geographic reconstruction of the Black Sea during the Karangatian phase (Riss-Würmian or Mikulinian interglacial) (after Tchepalyga, 2002).

Fig. 1B.7. Palaeo-geographic reconstruction of the Black Sea during the Neoeuxinian phase (Upper Würmian) (after Tchepalyga, 2002).

Fig. 1B.8. The scenario of the Black Sea water level fluctuation since the Last Glacial Maximum (after Lericolais at al., 2006, Final Report of the EU project “Assemblage”).

Fig. 2.2.1 Relative contributions of different point and diffuse sources to the emissions of (a) total nitrogen (N) and (b) total phosphorus averaged over 5 year bins and amounts of total nitrogen and phosphorus fertilizer consumption in the Danube catchments basin (solid circles). Redrawn from daNUbs Project Final Report (2005).

Fig. 2.2.2 Annual DIN and P-PO4 loads measured at Sulina discharge point of the River Danube to the sea and at Reni located at the upstream end of the Sulina branch.

Fig. 2.2.3. BOD5 load from the Danube River and other rivers (Dniester, Dniepr and Bug) discharging into the northwestern shelf during 1995-2005.

Fig. 2.3.1. Spatial distribution of surface temperature, salinity and nitrate concentration (µM) in Romanian coastal and offshore waters during September 2002 (Horstmann and Davidov, 2002).

Fig. 2.3.2 Annual DIN concentration measured at Sulina discharge point of the River Danube to the sea and at Reni located at the upstream end of the Sulina branch.

Fig. 2.3.3. Amalgamated annual-mean surface N-NO3 and P-PO4 concentration changes in Romanian waters (re-drawn from Parr et al., 2007).

Fig. 2.3.4. Decadal variability of surface dissolved inorganic nitrogen (DIN) concentration along the western and eastern coastal waters of the NWS based on the averaging of availale data from several stations at 5-year bins (after Loveya et al., 2006).

Fig. 2.3.5. Annual-mean surface concentrations of N-NO3 (green) and N-NH4 (blue) at Constanta station (A. Cociasu, per. com).

Fig. 2.3.6. Monthly changes of surface NO3 (squares) and NH4 (dots) concentrations and the trend of NO3 concentration at Constanta monitoring station during 2000-2006.

Fig. 2.3.7. Annual-mean N-NO3 (left) and N-NH4 (right) concentrations (μM) at various sites along northwestern Ukrainian waters during 2000-2006 (After PMA AG and AC Activities and Reporting, 2007).

Fig. 2.3.8a. Monthly changes of surface NO3 concentration at the Mamia beach and 5 m and 20 m isobaths further offshore during 2000-2005.

Fig.2.3.8b,c. Monthly changes of surface NO3 and NH4 concentrations at Ahtopol and Burgaz monitoring stations during 2000-2005.

Fig.2.2.8d.  Monthly surface NO3 concentration (blue) and total nitrogen (organic + inorganic)  concentration (green) (μM) at the Bosphorus northern entrance during 1996-2003 (redrawn after Okus, 2005).

Figure 2.2.9. Decadal variability of surface dissolved organic nitrogen (DON) concentration along the western and eastern coastal waters of the NWS based on the averaging of availale data from several stations at 5-year bins.

Figure 2.3.10. Ranges of mean nitrate (NO3-N) concentrations during 2000-2005 in surface waters (0-10 m) along the coast of the Black Sea (modified from TDA Report, 2007).

Fig. 2.3.11. Temporal variations of the subsurface peak nitrate concentration within the interior basin computed by averaging of all available data (after Konovalov and Murray, 2001, modified with the recent data by T. Oguz).

Fig. 2.3.12. Annual-mean P-PO4 concent-ration measured at Sulina discharge point of the River Danube to the sea and at Reni located at the upstream end of the Sulina branch.

Fig. 2.3.13a. Decadal variability of surface phosphate (P-PO4) concentration along the western and eastern coastal waters of the NWS based on the averaging of available data from several stations (redrawn from Loveya et al., 2006).

Fig. 2.3.13b. Annual-mean P-PO4 concentration (μM) at various sites of northwestern Ukrainian coastal waters during 2000-2006 (After PMA AG and AC Activities and Reporting, 2007).

Fig. 2.3.14. Annual-mean surface concentrations of PO4 (right hand side axis) and SiO4 (left hand side axis) at Constanta station.

Fig. 2.3.15. Surface concentrations of P-PO4 in near-shore waters of the Gelendzhik area during 2003-2004 (redrawn from Kucheruk, 2005).

Fig. 2.3.16. Ranges of mean concentrations of phosphate (P-PO4) during 2000-2005 in surface waters (0-10m) along the coast of the Black Sea (After TDA Report, 2007).

Fig. 2.3.17. Long-term changes of nutrient concentration ratios at (a) Sulina discharge point, Romanian shelf and Bosphorus exit region, and (b) Ukranian coastal waters.

Fig. 2.3.18. Long-term changes of nutrient concentration ratios at (a) Constanta monitoring station, and (b) monthly changes in Bulgarian coastal waters during 2001-2003.

Fig. 2.3.19. Vertical profiles of N/P and Si/N ratios at different locations of the interior basin during different months and years.

Fig. 2.4.1. The regions of the western basin used for the analysis of SeaWiFS chlorophyll concentration variations.

Fig. 2.4.2. Average surface chlorophyll concentration for five regions of the western Black Sea basin obtained from 8-daily 9 km resolution SeaWiFS ocean colour products after the original data is smoothed by 5 point moving average. The axis on the right hand side applies for the region 1, and the axis on the left hand side for all other regions.

Fig. 2.4.3. Monthly surface chlorophyll concentration variations (mg m-3) at Constanta station during 2001-2005.

Fig. 2.4.4. Monthly surface chlorophyll concentration during 1987-2001 measured in the Burgaz Bay (red dots) and the Bosphorus northern exit (green squares), and the SeaWiFS ocean color data for the region 4 (bold lines). The dashed line shows decreasing trend of peak Chl concentration since the 1980s. The field data are provided by Hibaum (2005); Moncheva (2005) and Okus (2005) and satellite data by daily-8, 9 km resolution SeaWiFS ocean colour product.

Fig. 2.4.5. Surface chlorophyll-a concentration measured along the Crimean topographic slope zone (dots; after Churiliova et al., 2005), near the Cape Sinop at the central part of the southern coast (triangles; after Feyzioglu, 2006; Bat et al., 2007), and Surmene Bay near the southeastern corner of the sea (squares; after Feyzioglu, 2006).

Fig. 2.4.6. Long-term changes of surface chl-a concentrations in the interior Black Sea (depth >1500m) for May-November period, 1978-1999. Each data point represents a single measurement taken from Yunev et al. (2002) (blue symbols) and Churilova et al (2004) (red symbols). This data set is complemented by the monthly-average 9 km gridded May to September-mean SeaWiFS data for the interior basin defined by 31-41oE longitudes and 41.5-44oN latitutes (green symbols).

Fig. 2.4.7. Annual-mean surface chlorophyll concentration for five regions of the western Black Sea basin obtained from 8-daily 9 km resolution SeaWiFS ocean colour product. The colour code for the regions are as shown in Fig.2.4.2.

Fig. 2.4.8. Monthly composites of surface chlorophyll concentration derived from daily-2km resolution SeaWiFS (NASA) ocean colour products for 2001, 2003 and 2005 (EC-Joint Research Centre, Global Environment Monitoring Unit Ocean Colour Archive, http://oceancolour.jrc.ec.europa.eu/).

Fig. 2.4.8. (continued) Monthly composits of surface chlorophyll concentration derived from daily -2km resolution SeaWiFS (NASA) ocean colour products for 2001, 2003 and 2005 (EC-Joint Research Centre, Global Environment Monitoring Unit Ocean Colour Archive, http://oceancolour.jrc.ec.europa.eu/).

Fig. 2.5.1. Long-term variations of spatial coverage of hypoxia in the northwestern shelf (redrawn from Loyeva et al., 2006), average chlorophyll concentration (mg m-3) for the northern part of the NWS provided by daily-8 km SeaWiFS ocean color sensor  and the River Danube N-NO3 discharge.

Fig. 2.5.2. Vertical distribution of oxygen saturation ratio along the Sulina transect during September 2001 and 2003, July 2002 (after Velikova and Cociasu, 2004).

Fig. 2.5.3. Temporal variations of surface dissolved oxygen concentration in Constanta since the 1960s.

Fig. 2.5.4.  SOL thickness measured as the difference between the sigma-t surfaces of 20 µM dissolved oxygen and 5 µM hydrogen sulphide concentrations deduced by all available data from the deep interior basin (after Konovalov et al., 2005), average dissolved oxygen concentration within the layer of σt ~14.45 and 14.6 kg m-3 surfaces in the region off the eastern coast (after Yakushev et al., 2005), and annual-mean surface dissolved oxygen concentration in northwestern coastal waters.

Fig. 3.1.1. Average Total Petroleum Hydrocarbons distribution (mg/l) at 11-20 September 1998.

Fig. 3.1.2. Average Total Petroleum Hydrocarbons distribution (mg/l) at 22 September – 9 October 2000. The anomalous high concentration 3.27 mg/l near town Feodosiya is not shown on the map.

Fig. 3.1.3. Division of the Russian coastal waters in terms of TPHs pollution.

Fig. 3.1.4. The oil spills in the Black Sea for period 2000-2004. Map of oil spills based on images taken by Synthetic Aperture Radars (SARs) of European satellites ERS-2 and Envisat. The oil spill density has been spatially normalized to the spill widths and the number of images available for the detection http://serac.jrc.it/midiv/maps/.

Fig. 3.1.5. Oil spills in the northeastern part of the Black Sea in 2006 and 2007.

Fig. 3.1.6. Total Petroleum Hydrocarbons distribution in the bottom sediments of coastal area of the Black sea in September-December 1995 [8].

Fig. 3.2.1. The maximum concentration of γ-HCH (ng/g) in the different regions of the Black Sea (the maximums 4.5 ng/gin Ukrainian waters 1992 and 29.0 ng/gin Romanian water 1993 are not presented in the figure). The duplication of some years means different seasons of expeditions.

Fig. 3.2.2. The repetition factor of exceeding of PL by average concentration of γ-HCH (ng/g) in the bottom sediments of different regions of the Black Sea. The outstanding 2.78 ng/gin Romania 1993 is not presented in the figure. The duplication of some years means different seasons of expeditions. The Permission Level is 0.05 ng/g.

Fig. 3.2.3. The maximum concentration of pesticides DDTs group (ng/g) in the bottom sediments of different regions of the Black Sea (the maximum 63950 ng/gin Ukrainian waters 2003 is not presented in the figure). The duplication of some years means different seasons of expeditions. Total number of analyzed bottom sediments samples is 217.

Fig. 3.2.4. The “hot spot” sites in the coastal zone of the Black Sea with total DDTs concentration in sediments exceeding the level of Extremely High Pollution (12.5 ng/g) level during 1993-2006.

Fig. 3.3.1 Concentration of cadmium (µg/l) in Ukrainian marine waters in 1995-2000.

Fig. 3.3.2 Concentration of mercury (µg/l) in Ukrainian marine waters in 1995-2000.

Fig. 3.3.3. Concentration of lead (µg/l) in Ukrainian marine waters in 1995-2000.

Fig. 3.3.4 Concentration of zinc (µg/l) in Ukrainian marine waters in 1995-2000.

Fig. 3.3.5 Concentration of copper (µg/l) in Ukrainian marine waters in 1995-2000.

Fig. 3.3.6 Concentration of arsenic (µg/l) in Ukrainian marine waters in 1995-2000.

Fig. 3.3.7 Concentration of chromium (µg/l) in Ukrainian marine waters in 1995-2000.

Figure 3.3.8. The high copper and chromium concentration (µg/g) in the bottom sediments of Ukrainian part of the Black Sea.

Fig. 3.3.9. Trace metal average values (2000 – 2005) in seawater along Romanian littoral

Fig. 3.3.10. Trace metal average values (2000 – 2005) in sediments along Romanian littoral

Fig. 3.3.10. (cont’d) Trace metal average values (2000 – 2005) in sediments along Romanian littoral

Fig. 4.1. Vertical distributions of 137Cs (on top) and 90Sr (below) concentrations in the Black Sea central basin in 1986-2000 (circles), curve-fitted profiles (solid lines) and average levels of 137Cs concentration in the 0-200 m layer and 90Sr in the 0-50 m layer before the Chernobyl NPP accident (dashed lines) (Stokozov and Egorov, 2002)

Fig. 4.2. Temporal evolution of the 137Cs inventory in the 0-50 m water layer of the Black Sea after the Chernobyl NPP accident: estimates based on measured water concentrations (circles) and modeling (solid and dashed lines) (Egorov et al., 1993). A corresponding average environmental half-life of 5-7 y can be estimated for 137Cs in surface waters.

Fig. 4.3. Vertical distributions of 134Cs, 137Cs activities (Bq kg-1 d.w.) and the 238Pu/239+240Pu activity ratio versus sediment depth (cm) in the Danube delta region in 1997.

Fig. 4.4. Temporal evolution of 137Cs (on the right) and 90Sr (on the left) concentrations in water (a), algae Cystoseira crinita (b), mollusc  Mytilus galloprovincialis (c) and fish Merlangius  merlangus euxinus (d) in the Sevastopol bays in 1986-2005.

Fig. 5.1. Phytoplankton species diversity by taxonomic classes in the Bulgarian shelf.

Fig. 5.2. Long-term changes  in phytoplankton taxonomic structure by biomass (mg/m3) in pcentage in spring (3 nm Cape Galata).

Fig. 5.2.a.  Seasonal phytoplankton taxonomic structure by numerical abundance (cells/l-1) averaged for the period 2000-2006 for the Bulgarian shelf waters.

Fig. 5.2b. Percentage of main algal groups in density (upper) and biomass (lower) in front of Constanta waters during 1986-2005.

Fig. 5.3. Phytoplankton community structure within the interior basin in different seasons prior to 1985, during 1985-1994 and after 1994.

Fig. 5.4. Changes in phytoplankton biomass in 1954-1960s and in 1973 – 2005s in the northwestern Black Sea shelf.

Fig. 5.5a. Change in abundance (million cells·l-1) and phytoplankton biomass (g·m-3) of the Danube estuarine area (1988-2004).

Fig. 5.5b. Change in abundance (blue bars; million cells·l-3) and phytoplankton biomass (red bars; g·m-3) of the Danube estuarine area (2003-2008).

Fig. 5.5c. Number of blooming species in the coastal area of the Odessa Bay.

Fig. 5.6. Change in annual-mean density and biomass of phytoplankton in 1983-2006 in Constanta.

Fig. 5.7. Number of phytoplankton species contributing to blooms in Romanian waters between 1960 and 2005.

Fig. 5.7a. Phytoplankton species contributing to summer blooms in Bulgarian coastal area between 1975 and 2005.

Fig. 5.9. Long term changes of phytoplankton biomass at 3 nm away from the Cape Galata. The data prior to 1970 were taken from Petrova-Karadjova (1984 and 1990).

Fig. 5.10. Frequency of EQ classess of summer phytoplankton blooms averaged for 1990-2000 (indicated by “90”) and 2000-2007 (indicated by “20”) for coastal stations (201 near the Cape Kaliakra  and 301 near the Cape Galata, and VB-Varna Bay).

Fig. 5.11. Comparison of phytoplankton abundance during two contrasting periods (i.e. stagnant and non-stagnant) in 1989-2005.

Fig. 5.12. Average annual abundance and biomass of phytoplankton in Georgian waters in 1992-2005.

Fig. 5.13. Long-term changes of total phytoplankton biomass within the water column of interior basin (g m-2) compiled from all available measurements at locations deeper than 100 m during May-September, and the December-March mean SST (oC) as an average of various data sets (Hadley, Reynolds-NCEP, Pathfinder), and the mean temperature of CIL during May-October.

Fig 5.14. Monthly changes of mean phytoplankton biomass in the northwestern coastal waters during 1975-2005.

Fig. 5.15. Long term changes of phytoplankton biomass at different seasons 3 nm away from the Cape Galata.

Fig. 6.1a. Long-term biomass changes of Aurelia, Mnemiopsis (left axis) and edible zooplankton (right axis) in the northwestern sector of Ukranian shelf waters. No Aurelia biomass data were reported after 2001. Data source: YugNIRO, Kerch, Ukraine, sorted out by Dr. A. Grishin, see  Velikova V. and Chipev N. 2005.

Fig. 6.1b. Long-term changes in abundance (%) of mesozooplankton species in the Northwest part of the Black Sea (after Temnykh et al. 2006).

Fig. 6.1c. Long-term changes of mesozooplankton abundance (ind. m-3) in the Northwest part of the Black Sea (after Temnykh et al. 2006).

Fig. 6.1d. Biomass (mg·m-3) of edible zooplankton and Noctiluca scintillans in the Ukrainian (UK) coastal waters of the northwestern Black Sea (NWS) during 1953-2007.

Fig. 6.2. The regions studied most extensively in the NWS coastal waters during 2000-2007: 1 – Danube river mouth (Ukrainian part of the Danube Delta), 2 – Odessa Bay area, 3 – Grygorivsky Liman, 4 – Yagorlytska Bay, 5 – Tendrivska Bay.

Fig. 6.3. Edible, gelatinous, and Noctiluca biomass changes during 2003-2007 in the Danube discharge and Odessa regions.

Fig. 6.4a. Mnemiopsis predation impact on mesozooplankton during July in Sevastopol Bay. Data source: Finenko et al. (2007).

Fig. 6.4b. Meroplankton and Crustacean abundances during spring-autumn 1999-2002 in the Sevastopol Bay. Data source: Finenko et al. (2007).

Fig. 6.5. Changes in Penilia avirostris and Pleurobrachia pileus abundances in Constantza region during 1982-2003.

Fig. 6.6. Annual variations of edible zooplankton biomass (left) and relative abundances of edible zooplankton and Noctiluca (right) in the Romanian littoral zone 0-10 m layer.

Fig. 6.7. Seasonal changes of trophic zooplankton along the Romanian littoral zone in the upper 10 m layer during 1994-2007.

Fig. 6.8. Interannual variations of total zooplankton abundance (ind. m-3) and percent share of key taxonomic groups in Varna Bay.

Fig. 6.9. Vertical distribution of total edible zooplankton abundance and biomass by taxonomic groups [in %] in surface homogeneous layer (SHL) and the sub-thermocline layer (TK) off the Bulgarian Black Sea coast during summer period 1998-2001.

Fig. 6.10. Long-term changes of Copepoda+Cladocera, M. leidyi and B. ovata abundances (log transformed) and SST anomaly at 3 miles off the Cape Galata during summer 1967-2005 ( from Kamburska et al., 2006b).

Fig. 6.11. Long-term changes of annual-mean edible zooplankton biomass at 3 miles off the Cape Galata and its average over the Bulgarian coastal waters.

Fig. 6.12. Mean and maximum abundances of Mnemiopsis leidyi [ind.m‑3] in the Bulgarian shelf and open sea areas during summer 1998-2005 (number of observations n=172).

Fig. 6.13. N. scintillans spring-autumn mean abundance (ind.m-3) along the Bulgarian coastal waters.

Fig. 6.14a. Seasonal changes of trophic zooplankton abundance along the Bulgarian shelf waters in 2002-2006.

Fig. 6.14b. Seasonal changes of Noctiluca scintillans abundance along the Bulgarian shelf waters in 2002-2006.

Fig. 6.14c. Monthly changes of Aurelia aurita biomass (g m-2) along the Bulgarian shelf waters in 2002-2007 (with data from the north-western region in 09.2004). The red line depicts the average of all monthly data in Bulgarian waters.

Fig. 6.14d. Monthly changes of Mnemiopsis leidyi biomass (g m-2) along the Bulgarian shelf waters in 2002-2006 (with data from the north-western region in 09.2004). The red line depicts the average of all monthly data in Bulgarian waters.

Fig. 6.15. Annual mean biomass (mg.m-3) of the total zooplankton, fodder zooplankton and Noctiluca scintillans off the Cape Sinop (in the central sector of the southern coast) during 1999-2005. Data sources: Unal, (2002), Ustun (2005), Bat et. al. (2007), Ustun et. al. (2007).

Fig. 6.16. Monthly biomass (g.m-2) changes of edible zooplankton and Noctiluca scintillans off the Cape Sinop (in the central sector of the southern coast) during 2002-2004. Data source: Ustun (2005).

Fig. 6.17. Abundance (ind.m-3) variations of trophic zooplankton and N. scintillans off the Cape Sinop (in the central sector of the southern coast) during 1999-2005.

Fig. 6.18.  Annual variation of zooplankton community structure abundance (%) in in the sea off Sinop.

Fig. 6.19. Variations of edible zooplankton and jelly abundance (ind.m-3) and sea surface temperature off the Cape Sinop (in the central sector of the southern coast) during 2002-2004.

Fig 6.20. Annual-mean trophic zooplankton (Protozoa, Copepoda, Cladocera) biomass (mg m-3) variations in the Georgian waters during 1955-1957 and 1990-2002 within the upper 100 m layer.

Fig. 6.21. Interannual variations of summer M. leidyi and N. scintillans abundances indicating their negative correlation for (a) inshore waters (r = –0.3) and (b) offshore waters (r = –0.4 p < 0.02) of the north-eastern basin.

Fig. 6.22. Interannual variations of Aurelia aurita abundance in near-shore and offshore waters during (a) spring and (b) summer months, as well as of the mean spring and summer temperatures. The data are complied from various sources: Shushkina and Musaeva (1983); Shushkina and Arnautov (1987); Flint, Arnautov, and Shushkina (1989); Shiganova et al. (2003, 2006).

Fig. 6.23. Interannual variations of Aurelia aurita and Mnemiopsis leidyi abundances in coastal and offshore waters of the northestern basin during (a) spring, (b) summer months.

Fig. 6.24. Interannual variations of zooplankton biomass (mg m-2) and M. leidyi abundance (ind. m-2) before the B. ovata appearance.

Fig. 6.25. Interannual variations of species composition and abundance of edible zooplankton in the inshore waters in August after the introduction of M.leidyi: (A) coldwater and eurythermal species, and (B) thermophilic species.

Fig. 6.26. Interannual variations in the species composition and abundance of edible zooplankton in the open sea waters in August after the introduction of M.leidyi: (A) coldwater and eurythermal species and (B) thermophilic species.

Fig. 6.27. Interannual variations in zooplankton biodiversity index of edible zooplankton (as an average of the inshore and offshore data) in the spring and August after the introduction of M. leidyi.

Fig. 6.28. Interannual variations of Mnemiopsis and Beroe abundances (ind.m-2) in August and September, respectively.

Fig. 6.29. Interannual variations in the species composition and abundance of edible zooplankton in the inshore waters in August: (A) coldwater and eurythermal species and (B) thermophilic species.

Fig. 6.30. Interannual variations in the species composition and abundance of zooplankton in the open sea waters in August: (A) coldwater and eurithermal species and (B) thermophilic species.

Fig. 6.31. Long-term changes of edible zooplankton biomass in the northeastern Black Sea during August-September, 1978-2004. The data for 1978-1991 were taken by Vinogradov et al. (1992) and for 1993-2004 by Shiganova et al. (2004).

Fig. 6.32. Interannual variations in the species composition and abundance of edible zooplankton in the spring: (A) in the inshore zone and (B) in the open sea waters.

Fig. 6.33. long-term changes of edible zooplankton biomass within the deep interior basin of the Black Sea. The data shown by dots and triangles are provided by Kovalev et al. (1998) and Arashkevich et al. (2008a) for the northeastern basin.

Fig. 6.34. Inter-annual biomass (g m-2) variations of dominant zooplankton groups during 1998-2008 (after Arashkevich et al., 2008a).

Fig. 6.35. The relation between mesoscale variability of the circulation system (left) and zooplankton biomass distribution (right) along an offshore-onshore transect in the NE basin. Zooplankton biomass was expressed by its normalized difference with respect to the mean biomass of each set of measurements (after Arashkevich et al., 2008a).

Fig. 6.36. Monthly changes of gelatinous predators Aurelia, Mnemiopsis, and Pleurobrachia as the mean of measurements at three stations within the northeastern coastal waters during 2005-2007 (after Araskevich et al., 2008b).

Fig. 7.1. Photos for the brown algae Cystoseira barbata (left), Desmarestia viridis (center) and the red algae Polysiphonia elongata (right).

Fig. 7.1A.  Dynamics of changes in surface index (SIcm) and average value of specific surface (S/W) of species composition of phytobenthos of the Danube-Dnepr interfluves.

Fig. 7.2. Annually dynamic of biomass and production of macrophytes community of Danube-Dnepr interfluves.

Fig. 7.3. Location of sampling stations along the Romanian Black Sea coast during 2000-2005 observations (left) and quantitative proportion of red and green algae along the Romanian Black Sea shore (right).

Fig. 7.4. Annual evolution of biomass (g∙m-2) of green and red algae along the Romanian littoral between 1996 and 2005 (Bologa and Sava, 2006).

Fig. 7.5. Biomass distribution of macrophytes along the investigated transects in 1994.

Fig. 7.6. Average multi-annual specific surface values ( m2.kg-1 ) along the Bulgarian coastline during 1999-2002.

Fig. 7.7. Average multi-annual biomass values (g.m-2) along the Bulgarian coastline during 1999-2002.

Fig. 7.8. Map for the coastal regions along the Turkish coast of the Black Sea.

Fig. 7.9. Taxonomic composition of North Caucasian bottom algoflora in the 1970s (Kalugina-Gutnik, 1975) and the present decade.

Fig. 7.10.  Cystoseira biomass dynamics (1970s: Kalugina-Gutnik, 1975).

Fig. 7.11.  Phyllophora biomass dynamics. Data source for 1970s: Kalugina-Gutnik (1975).

Fig. 8.1. Relative contribution of basic zoobenthos groups in the NWBS and at the Crimea coast during 1967 â€“ 2005 (without taking into account Oligohaeta and Turbellaria).

Fig. 8.2. Species numbers (in %) of basic zoobenthos groups in different regions of the Ukrainian sector of the Black Sea. The data used for the NWBS correspond to 1973 â€“ 2003. For Sevastopol and Karadag, the measurement period covered observations prior to 1973.

Fig. 8.3. Changes in macrozoobenthos species diversity on the soft bottoms along the coast of Crimea during different periods.

Fig. 8.4. Total number of macrozoobenthos species in different areas of the NW Black Sea:   blue – Bivalvia, black – Gastropoda, green – Crustacea, red – Polychaeta (from Ukrainian National Report, 2007).

Fig. 8.5. Macrozoobenthos biomass (g m-2) in different areas of the NW Black Sea:  blue – Bivalvia, black – Gastropoda, green – Crustacea, red – Polychaeta (from Ukrainian National Report, 2007).

Fig. 8.6. Benthic belts of the Black Sea shelf (from Zaika, 1998, with additions).

Fig. 8.7. Vertical profiles of the total zoobenthos biomass in the biocenosis Chamelea gallina (A) (according to 157 stations) and the biomass Chamelea gallina (B) (310 stations) at the coast of Crimea for the period 1980 â€“ 1990s.

Fig. 8.8. Vertical profiles of the total zoobenthos biomass in biocenosis Mytilus galloprovincialis (A) (according to 86 stations) and the biomass Mytilus galloprovincialis (B) (370 stations) at the coast of Crimea for the period 1980 â€“ 1990s.

Fig. 8.9. Long-term dynamics of zoobenthos biomass in Sevastopol Bay – with consideration of all macrozoobenthos (A), and without Mytilus galloprovincialis which is not a typical soft bottom species of the Sevastopol Bay (B).

Fig. 8.10. Long-term changes of macrozoobenthos biomass at the western coast of Crimea.

Fig. 8.11. Rank-‘Density index’ curves for the first 10 macrozoobenthos species at the western coast of Crimea.

Fig. 8.12. Long-term changes of ‘Density index’ values with respect to populations of Ch. gallina, M. galloprovincialis and M. phaseolina at the western coast of Crimea. The ‘Density index’ axes on the left and right are marked by L and R, respectively, in the figure.

Fig. 8.13. Index of Biomass of benthic groupings per different years. Range of depths in groupings: a – (sandy zone) – 1 â€“ 12 m, b – (silty-sand) – 13 â€“ 25 m, c – (mussel silt) – 26 â€“ 50 m, d – (phaseolina silt) – 51 â€“ 110 m.

Fig. 8.14. Change in species diversity in the muddy bottom biocoenosis of Modiolus phaseolinus during 1981–2001 that was the most characteristic biocoenosis along the Romanian coast from 55m to 120 m.

Fig. 8.15. The change in species diversity of the macrobenthic fauna in the pre-Danubian sector of Romanian coastline during 1993-2005.

Fig. 8.16. Changes in the average abundances of macrozoobenthos at different depths in the pre-Danubian sector.

Fig. 8.17 – Changes in zoobenthic average biomass at different depths in the pre-Danubian sector.

Fig. 8.18. Change of species diversity in the Constanta marine sector between 1993 and 2002.

Fig. 8.19. Average zoobenthos abundance (ind. m-2, left) and biomass (g m-2, right) at 10-30m and 30-50m depth ranges in the Constanta sector of the Romanian shelf waters during 1990-99 and 2000-02.

Fig. 8.20. Changes in the average abundance (ind m-2) and biomass (g m-2) of macrozoobenthic populations in the central (Constanta) sector at 5-20 m depth range.

Fig. 8.21. Change of species diversity in the Southern (Mangalia) marine sector between 1993 and 2007.

Fig. 8.22. Average zoobenthos abundance (ind. m-2, left) and biomass (g m-2, right) at 30-50m depth range in the Mangalia sector of the Romanian shelf waters during 1994-2002.

Fig. 8.23. Average abundance (ind. m-2) and biomass (g m-2) of macrozoobenthic populations in the southern sector at 0-20 m depth range.

Fig. 8.24a. Average abundance (ind. m-2) and biomass (g m-2) of macrozoobenthic populations during 2002-2006 at 0-20 m depth range of the northern, central, southern sectors of Romanian litteral zone.

Fig. 8.24b. Change in number of macrozoobenthic species during 1992-2007 in the northern, central, southern sectors of Romanian litteral zone.

Fig. 8.25. Map of the studied area with sampling locations and communities as differentiated according to the cluster analysis: S – infralittoral sand community, C – infralittoral silt community, M – upper circalittoral silt community with Melinna palmata, T – impoverished circalittoral silt community, P – lower circalittoral clay community with Modiolula phaseolina.

Fig. 8.26. Distribution of the average number of macrozoobenthos species (S) on the Bulgarian shelf and average Shannon-Wiener community diversity (H') index at sampling stations, summer 1998-2002.

Fig. 8.27. Distribution of average macrozoobenthos abundance on the Bulgarian Black Sea shelf and abundance structure at sampling stations, summer 1998-2002.

Fig. 8.28. Distribution of average macrozoobenthos biomas on the Bulgarian Black Sea shelf and biomass structure at sampling stations, summer 1998-2002.

Fig. 8.29. AMBI values (mean ± st. error) at sampling stations (according to Fig. 8.26) on the Bulgarian Black Sea shelf, summer 1998-2002 and thresholds for five ecological state categories.

Fig. 8.30. Alterations in (a) total number of species (S) and (b) taxonomic structure of benthic macrofauna over the “pristine” period 1954-1957, the intensive anthropogenic eutrophication period 1982-1985, and the recent period 1998-2002.

Fig. 8.31. Alterations in (a) total abundance and (b) percent abundance structure for the “pristine” period 1954-1957, the intensive anthropogenic eutrophication period 1982-1985, and the recent period 1998-2002.

Fig. 8.33. Species number of main macrozoobentic group registered in 1990 and 2003-04 observations along the Georgian coast.

Fig. 8.34. Location of sampling transects in 2001-2007.

Fig. 8.35. Long-term changes in biomass of dominant macrozoobenthic species at 10-30 m depth range in the southern Caucasian coastal zone.

Fig. 9.1. Commercial exploitation of Marine Living Resources in the Black Sea in 1996 – 2005.

Fig. 9.2. Total capture production of Marine Living Resources in the Black Sea in 1989 – 2005.

Fig. 9.3. Total capture production of main anadromous fishes in the Black Sea during  1989 – 2005.

Fig. 9.4. The total abundance (in million of individuals) of three anadromous sturgeon species in the north-western Black Sea according to the data of YugNIRO trawl surveys and mathematical modeling (taken from Shlyakhov, 2003). Red bars: Russian sturgeon; blue bars: Starred sturgeon; yellow line: Beluga.

Fig. 9.5. Changes in Pontic shad catches in the Black Sea basin in 1989 – 2005.

Fig. 9.6. Turkish and the sum of Bulgarian, Romanian and Ukranian catch variations of Pontic shad in the Black Sea as well as its biomass estimation in the Ukrainian Danube region.

Fig. 9.7. Total catch of main pelagic fishes in the Black Sea during 1989 – 2005.

Fig. 9.8. Time-series of recruitment, spawning stock biomass (SSB), catch and fishing mortality of Black Sea sprat.

Fig. 9.9. Time-series of recruitment, spawning stock biomass (SSB), catch and fishing mortality of the Black Sea anchovy.

Fig. 9.10. Time-series of recruitment, spawning stock biomass (SSB), catch and fishing mortality of the Black Sea horse mackarel.

Fig. 9.11. Total catch of main demersal fishes in the Black Sea during 1989 – 2005.

Fig. 9.12. Long-term changes of CPUE for three demersal species in Turkish waters of the Black Sea in 1989 – 2005 (from the TDA Technical Task Team National Experts – Turkey Report, Duzgunes, 2006).

Fig. 9.13. Whiting landings and average length of whitings harvested in the eastern Black Sea region of Turkey. (Taken from Knudsen and Zengin, 2006).

Fig. 9.14. Whiting biomass by age groups (in thousand tons) in the western part of the Black Sea during the period of 1971 – 1997. (Taken from Prodanov and Bradova, 2003).

Fig. 9.15. Biomass of picked dogfish in the Black Sea-BBS (Prodanov et al., 1997), in the waters of Ukraine– BUA (Shlyakhov, Charova, 2006) and the mean standard length (l average) in trawl catches of picked dogfish in the northwestern part of the sea: Trend lines are shown for the BUA and l average data series.

Fig. 9.16. Mean length and weight of turbot in the northwestern Black sea and its landings by Ukraine in 1997 – 2005.

Fig. 9.17. Landings of striped mullet in the Black Sea waters of Turkey (according to data of the TDA Technical Task Team National Experts – Turkey, Duzgunes, 2006).

Fig. 9.18.  Biomass and mean length changes of golden mullet in the Crimean waters of Ukraine during 1996-2005.

Fig. 9.19. Total catch of main mollusks in the Black Sea in 1989 – 2005.

Fig. 9.20. Harvesting of striped venus in the Black Sea along the Turkish coasts.

Fig. 9.21. Total capture production of main water plants in the Black Sea in 1989 -2005.

Fig. 10.1. Operational units of the Ukrainian National Network for Cetaceans Monitoring and Conservation (Birkun, 2006b).

Fig. 11.1. Modified D-P-S-I-R model showing the Relationship between Drivers (D), Pressures (P), State Changes (S), Impacts (I) and Responses (R), with the Addition of Institutional Barriers. Source: Mee (2005).

Fig. 11.2. Annual Population Growth in the Black Sea Countries, 1995 to 2005. data source: World Bank Development Indicators website (accessed November 27, 2007) at http://web.worldbank.org.

Fig. 11.3. Sustainability Indicators: Adjusted Net Saving in the Six Black Sea Countries, 1996 – 2004. Data source: World Bank website (accessed November 27, 2007) at http://web.worldbank.org.

Fig. 12.1. Schematic representation of the Black Sea pelagic and benthic ecosystem transformations along the Black Sea western coast (after Friedrich et al., 2006).

Fig. 12.2. A typical structure of the upper layer circulation field deduced from a circulation model using assimilation of altimeter sea level anomaly data. (after Korotaev et al., 2003).

Fig. 12.3. SeaWiFS chlorophyll distributions showing two alternative forms of circulation structure in the northwestern shelf; (a) a southward coastal current system during days 152-155 (early June) and (b) a closed circulation system confined into its northern sector during days 194-197 (mid-July), 1998 (after Oguz et al., 2002).

Fig. 12.4. Annual-mean sea surface temperature (SST) anomaly changes obtained by in situ measurements at 3 nm offshore of Cape Galata (Bulgaria, after Kamburska et al., 2006; right axis, in red colour) and the basin averaging (left axis, in blue colour) of the Hadley-2 data, and their comparison with the globally-averaged SST fluctuations based on Hadley-2 data (in green; left axis). The Hadley-2 data is described by Rayner et al. (2003).  All data show both the unsmoothed and smoothed (by three-year moving averaging) variations.

Fig. 12.5. The changes of annual-mean, basin-averaged sea surface temperature (SST) anomaly and the North Atlantic Oscillation and the East Atlantic-West Russia climate indices.

Fig. 12.6. River Danube annual dissolved inorganic nitrogen (DIN), phosphate (P-PO4) and silicate (SiO4) loads into the Black Sea based on the measurements conducted at Sulina. The data are taken from  Cociasu et al. (2008).

Fig. 12.7a. Decadally-averaged changes of surface dissolved inorganic nitrogen (DIN) concentration along the western and eastern coastal waters of the NWS as well as surface N-NO3 concentration in the Romanian shelf (red bars) and the Sulina exit of the River Danube solid dots). The data except at Sulina are amalgamated from several stations.

Fig. 12.7b. Decadally-averaged changes of surface dissolved nitrogen (DON) concentration along the western and eastern coastal waters of the NWS.

Fig. 12.8. Temporal variations of the subsurface peak nitrate concentration within the interior basin.

Fig. 12.9. Decadally-averaged changes of N-NO3/P-PO4 ratios in the Ukrainian and Romanian shelf based on the amalgamated data (see Chapter 2 of this report).

Figure 12.10. Average surface chlorophyll concentration for the northwestern shelf and the interior basin obtained from 8-daily 9 km resolution SeaWiFS and Modis ocean colour products after the original data is smoothed by 5 point moving average.

Fig.12.11. Long-term variations of spatial coverage of hypoxia in northwestern coastal waters. The data are taken from the Ukrainian National Reports, UkrNCEM.

Fig. 12.12. Changes in summer oxygen saturation values of bottom waters at three locations along the Sf. Georghe transect immediately to the south of Danube discharge zone (after GEF-UNDP Project Report, 2006).

Fig.  12.13. Long-term variations of winter dissolved oxygen concentration within the layer of density surfaces σt ~14.45-14.6 kg m-3 in the offshore region the eastern coastal waters during 1984-2004 and summer-autumn mean CIL temperature of the interior basin. The oxygen data are provided by Yakushev et al. (2008).

Fig. 12.14. Total of number of oil spills and amount of oil spilt during 1996-2006 on the basis of data reported by countries to the BSC.

Fig. 12.15. Composite map of oil spill anomalies in the Black Sea during 2000-2002 and 2004 based on the images taken by Synthetic Aperture Radars (SARs) of European satellites ERS-2 and Envisat (http://serac.jrc.it/midiv/ maps/). The oil spill density has been spatially normalized to the spill widths. The darker areas signify the high anomaly regions.

Fig.12.16. Mean concentration of total petroleum hydrocarbons in surface waters (0-10m depth) around the Black Sea periphery during 2000-2005 (after TDA, 2007).

Fig. 12.17. Mean concentrations of total petroleum hydrocarbons in sediments around the periphery of the Black Sea during 1996-2006 (after TDA, 2007).

Fig.12.18a. Long-term variations of annual-mean phytoplankton biomass (g m-3) averaged over all stations in the Romanian (RO), Bulgarian (BG), Georgian (GE) shelves as well as the coastal northwestern sector of Ukrainian shelf (NWS-UA, after Nesterova, 1987, see Chapter 5 of this report).

Fig. 12.18b. Long-term variations of summer-autumn mean phytoplankton biomass (g m-2) (vertical bars; after Mikaelyan, 2005), the mean CIL temperature (oC) (blue dots; after Belikopitov, 2005) averaged over all stations within interior basin and mean winter (December-March) sea surface temperature (SST) as an average of Hadley2, NCEP-Reynolds and Pathfinder5 data sets. The phytoplankton biomass is expressed in terms of euphotic zone integrated values.

Fig. 12.19a. Long-term changes in species number contributing to annual phytoplankton biomass along the Bulgarian coastal waters (after Moncheva, 2005).

Fig. 12.19b. Long-term changes annual-mean phytoplankton to edible zooplankton biomass ratio along the Bulgarian coastal waters (after Moncheva, 2005).

Fig. 12.20. Long-term change in percentage of biomass of main algal groups in Constanta monitoring station during 1986-2005 (after Boicenco, see Chapter  5 of this report).

Fig. 12.21a. Long term annual-mean changes of bacterioplankton abundance in the surface layer of northwestern and Bulgarian coastal waters (redrawn from Kovalova et al., 2008).

Fig. 12.21b. Long term monthly-mean changes of bacterioplankton abundance in the surface layer of northwestern coastal waters in the Black Sea (redrawn from Kovalova et al., 2008).

Fig.12.22. Long-term variations of the annual-mean edible zooplankton biomass in the northeastern basin (g m-2) and the western coast (mg m-3) obtained by averaging the Romanian, Bulgarian, and the northwestern Ukrainian data sets. Also included for comparison is the edible zooplankton biomass (g m-2) measured near the Cape Sinop in central part of the Turkish coast (after  Shiganova et al., see Chapter 6 of this report).

Fig. 12.23. Distribution of summer edible zooplankton biomass (mg m-3) during 1954-1995 (after Temnykh, 2006).

Fig. 12.24. Mean Mnemiopsis leidyi abundance (ind.m-3) in the Northeastern (NE), North-Western (NW), and Western (W) Black Sea inshore and offshore waters during the summer 1998-2004 (redrawn from Kamburska et al. 2006).

Fig. 12.25a. Long-term change of total macrophyte biomass (kg m-2) in the northwestern shelf dominated by small, opportunistic species (after Minicheva, see Chapter 7 of this report).

Fig.12.25b. Cystoseira spp. biomass at different depths along the northeastern coastal zone during 1970, 1988 and 2005 (after Kucheruk, 2006).

Fig.12.25c. Changes in floristic diversity of macrophyte communities in Zernov’s Phyllophora field (after Friedrich et al., 2008).

Fig. 12.26. Temporal changes in species diversity of total macrozoobenthos community in the Romanian pre-Danubian and Constanta sectors (left) and the Bulgarian shelf (right) (after Abaza, Todorova et al., see Chapter 8 of this report).

Fig. 12.27. Recent ecological state of he northwestern and western shelves according to the AMBI classification. Yellow and green colours signify moderate and good ecological state, whereas the brown spots are degraded regions of macrozoobenthos (after GEF-UNDP Project Report, 2006).

Fig. 12.28a. Changes in dominant zoobenthos species biomass ( g m-2) at the 10-30 m depth range of northeastern Black Sea coast during 1936-2005 period (after Kuchreruk, 2006).

Fig. 12.28b. Species rank of macrozoobenthic population indicating its overwhelming domination by worms in the northwestern shelf (after Friedrich et al., 2008).

Fig. 12.29. Total catches of main anadromous, demersal and small pelagic fishes in the Black Sea during 1989-2005. The demarsal and pelagic fish catch values need to be multiplied by 10 and 100 to get the observed magnitudes, respectively (after Shlyakhov and Daskalov, see Chapter 9 of this report)

Fig. 12.30. Total catch of main mollusks in the Black Sea in 1989 -2005 (after Shlyakhov and Daskalov, see Chapter 9 of this report).

Fig. 12.31. Long-term changes of Q-value defined as the ratio of pelagic fish catch (in ktons y-1) to phytoplankton biomass (in mg  m-3) as a measure of ecosystem vulnerability to the changes by external stressors (after Yunev et al., 2008).

CHAPTER 1A. GENERAL OCEANOGRAPHIC PROPERTIES: PHYSICO-CHEMICAL AND CLIMATIC FEATURES (T. Oguz)

Temel Oguz

Institute of Marine Sciences,

Middle East Technical University, Erdemli, Turkey

1A.1. Main physical and chemical features

The Black Sea is a strongly stratified system; its stratification within the upper 100 m layer (10% of the entire water column) varies up to a density of st ~5 kg m-3 (Fig. 1A.2.1) and is an order of magnitude greater than, for example, in the neighboring Mediterranean Sea. The pycnocline corresponding to the density surface st ~16.2 kg m-3 approximately conforms to 150 m depth within the interior cyclonic cell or may extend to 200 m within coastal anticyclones. The deep homogenous layer that has a thickness of 2000 m within the abyssal plain of the sea possesses almost vertically uniform characteristics below 200 m within the range of values of temperature (T) of ~ 8.9-9.1oC, salinity (S) of ~ 22-22.5, and st ~ 17.0-17.3 kg m-3. The deepest part of the water column approximately below 1700 m involves homogeneous water mass formed by convective mixing due to the bottom geothermal heat flux during the last several thousands of years (Murray et al., 1991).

SOE 2009 imageSOE 2009 image

Fig. 1A.2.1. Vertical variations of temperature (oC) and density (expressed in terms of sigma-t, kg m-3) at various locations of the interior basin during different months representing different types of vertical structures (the data are retrieved from the IMS-METU data base; http: sfp1.www.ims.metu.tr/ODBMSDB/).

The upper 50-60 m is homogenized in winter with T~6-7 oC, S ~18.5-18.8, st ~14.0-14.5 kg m-3 when the northwestern shelf and near-surface levels of the deep basin exposed to strong cooling by successive cold-air outbreaks, intensified wind mixing, and evaporative loss. Two examples are depicted in Fig. 1A.2.1 for the interior cyclonic cell at the time of intermediate level convection event during 14 February, 1990 and immediately after one of the most severe winters of the last century (April 3, 1993) during which the mixed layer temperature reduced to ~5.5 oC. Yet another observation of winter convection event within an anticyclonic eddy closer to the southern coast (41.39oN, 30oE) during March 2003 is shown in Fig. 1A.2.1. This event cooled the surface mixed layer to 6.5��C within 90 m layer that is roughly twice deeper than those observed in the cyclonic interior basin.

As the spring warming stratifies the surface water, the remnant of the convectively-generated cold layer is confined below the seasonal thermocline and forms the Cold Intermediate Layer (CIL) of the upper layer thermohaline structure (Fig. 1A.2.1). Following severe winters, the CIL may preserve its structure for the rest of the year, but it may gradually warm up and loose its character in the case of warm winter years. These alternative structures are shown in Fig. 1A.2.1. Stratification in summer months comprises a surface mixed layer with a thickness of 10-20 m with T~22-26oC, S~18-18.5 and st ~10.5-11.5 kg m-3.

An important feature of the upper layer physical structure is the intensity of diapycnal mixing that controls ventilation of the CIL and oxygen deficient zone and nutrient entrainment from its subsurface source in winter months. According to the recent microstructure measurements (Gregg and Yakushev, 2005 and Zatsepin et al. 2007), the vertical diffusivity attains its maximal values on the order of 10-3����� 10-4 m2 s−1 in the surface mixed layer (0�����15 m), but decreases to�� 10-5�����10-6 m2 s−1 across the seasonal thermocline (15�����30 m). An increase in the diapycnal diffusivity is observed in the CIL to the range 2�����6 x 10-5 m2 s−1. Below the base of the CIL, it rapidly decreases to its background values of 1�����4���10-6 m2 s−1. Consequently, turbulent fluxes near the base of CIL are too weak to renew the oxygen deficient Suboxic Layer (SOL).

The Mediterranean underflow that is characterized typically by T~13-14 oC and S~35-36 upon issuing from the Bosporus modifies considerably by mixing with the upper layer waters and enters the shelf with T~12-13 oC and S~28-30. In the shelf, its track is regulated by small scale topographic variations. As it spreads out as a thin layer along the bottom, it is diluted by entrainment of relatively colder and less saline CIL waters and is barely distinguished by its slight temperature and salinity differences from the ambient shelf waters up on issuing the shelf break. The modified Mediterranean water is then injected in the form of thin multiple layers at intermediate depths (150-250 m) (Hiscoock & Millero, 2006; Glazer et al, 2006). Signature of the Mediterranean inflow within the interior parts of the basin can be best monitored up to 500 m, where the residence time of the sinking plume varies from ~10 years at 100 m depth to ~400 years at 500 m (Ivanov and Samodurov, 2001; Lee et al., 2002).

The upper layer biogeochemical structure that overlies the deep and lifeless anoxic pool (except anaerobic bacteria) involves four distinct layers (Fig. 1A.2.2). The uppermost part extending to the depth of 1% light level (a maximum thickness of nearly 50 m) characterizes active biological processes (e.g. nutrient uptake, plankton grazing, mortality, microbial loop, etc.), high oxygen concentrations (~300 ��M) and seasonally varying nutrient and organic material concentrations supplied laterally from rivers and coastal zones and vertically from sub-surface levels through vertical mixing. In the interior basin, surface mixed layer waters are poor in nutrients for most of the year except occasional incursions from coastal regions and by wet precipitation. Below the seasonal thermocline and in the deeper part of the euphotic zone, nutrient concentrations increase due to their recycling as well as continuous supply from the nutricline. Nitrate accumulation in this light-shaded zone generally supports summer subsurface phytoplankton production. In winter, nutrient stocks in the euphotic zone are renewed from the nutricline depths through upwelling, vertical diffusion and seasonal wind and buoyancy-induced entrainment processes and depleted by biological utilization.

 

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Fig. 1A.2.2.�� O2 and H2S profiles (left) and NO3, NO2 and NH4 profiles (right) versus density expressed in sigma-t (kg m-3) in the center of the eastern gyre of the Black Sea during May 2003. The data source: http://www.ocean.washington.edu/cruises/Knorr2003/index.html.

The euphotic layer oxygen concentration undergoes pronounced seasonal variations within a broad range of values from about 250 to 450 ��M. The period from the beginning of January until mid-March exhibits vertically uniform mixed layer concentrations of ~300-350 ��M, ventilating the upper ~50 m of the water column as a result of convective overturning. The rate of atmospheric oxygen input in the ventilation process is proportional to the excess of saturated oxygen concentration over the surface oxygen concentration. The maximum contribution of oxygen saturation is realized towards the end of February during the period of coolest mixed layer temperatures, coinciding with the maximum and deepest winter oxygen concentrations during the year. After March, initiation of the warming season is accompanied by oxygen loss to the atmosphere and decreasing solubility, thus reducing oxygen concentrations within the uppermost 10 m to 250 ��M during the spring and summer months. A subsequent linear trend of increase across the seasonal thermocline links low near-surface oxygen concentrations to relatively higher sub-thermocline concentrations. Depending on the strength of summer phytoplankton productivity, the sub-thermocline concentrations exceed 350 ��M in summer.

The upper boundary of oxycline where oxygen concentration starts decreasing from ~300 μM corresponds to st ~14.4�����14.5 kg m-3 (35�����40 m) isopycnal surfaces in cyclonic regions (Fig. 1A.2.2) and st ~14.0�����14.2 kg m-3 (70�����100 m) in coastal anticyclonic regions (Fig. 1A.2.3). The lower boundary of oxycline is defined by 10 μM oxygen concentration located generally at st ~15.6 kg m-3. Oxygen concentrations finally vanish above the anoxic interface located at st ~16.2 kg m-3. The oxygen deficient (O2 < 10 ��M), non-sulfidic layer having a thickness of 20-to-40 m coinciding with the lower nitracline zone is referred to as the "Suboxic Layer (SOL)" (Fig. 1A.2.2). Since identified by Murray et al. (1989, 1991), it has been observed consistently all over the basin with almost similar characteristics. Analyzing the available data after the 1960s, Tugrul et al. (1992), Buesseler et al. (1994) and Konovalov and Murray (2001) showed that the suboxic zone was present earlier, but it was masked in the observations because of low sampling resolution and contamination of water samples with atmospheric oxygen. These earlier observations measured dissolved oxygen concentrations more than 10 ��M inside the sulfidic layer (Sorokin, 1972; Faschuk, et al., 1990; Rozanov et al., 1998).

SOE 2009 image
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Fig. 1A.2.3. Vertical distribution of temperature (T), salinity (S), transmission (Trans), oxygen (O2), hydrogen sulfide (H2S), total manganese (Mn2+), silicates (Si), nitrates (NO3), nitrites (NO2), ammonia (NH4), urea (Urea), phosphates (PO4), and organic phosphorus (Porg) at a summer station near Gelendzhik, along the eastern coast of the Black Sea. Concentrations of chemical parameters are in μM (after Yakushev et al., 2005).

The SOL structure is subject to temporal and regional modifications during the periods of enhanced phytoplankton production in the surface layer. For example, the R.V Knorr May-June 2001 survey conducted within the western basin during a phytoplankton bloom episode (Oguz and Ediger, 2007) showed gradual change in the position of the oxycline and the upper boundary of the SOL up to σt~15.15 kg m-3 within less than a month.�� On the other hand, the oxygen profiles in the southwestern Black Sea shelf-slope region displayed another extreme case with lenses of high oxygen content (~20 μM) within the Suboxic Layer and its interface with the anoxic layer due to the intrusions of relatively oxygen rich Mediterranean underflow (Hiscoock & Millero, 2006; Glazer et al, 2006). In anticyclones, the upper boundary of SOL is located at deeper levels (~15.8 kg m-3) and therefore the SOL is relatively shallow (around 10-20 m) (Oguz et al., 2003).

Only a small fraction (~10%) of particulate flux is exported to deeper anoxic part of the sea (Lebedeva and Vostokov, 1984; Karl and Knauer, 1991). This loss is compensated excessively by lateral nitrogen supply mainly from the River Danube, by wet deposition and nitrogen fixation. The nutrient fluxes of anthropogenic origin are transported across the shelf and around the basin through the Rim Current system, and spread ultimately over the interior basin and form a major source of nitrate enrichment of the euphotic zone, while some is lost through Bosporus surface flow (Polat and Tugrul, 1995). The river influence markedly weakens toward the south along the coast and offshore for most of the year due to photosynthetic consumption of dissolved inorganic nutrients and sedimentation within the northwestern and western shelves. The river supply gives rise to a high N/P ratio within northwestern-western shelf that makes phosphate as the primary limiting nutrient along the coastal zone. The outer shelf appears to possess weakly nitrogen or phosphorus limited system, but the interior basin and major part of the sea is strongly nitrogen limited.

When nitrate profiles are plotted against density, the position of its peak concentration (6.0 �� 2.0 ��M) coincides approximately with the st ~15.5 �� 0.1 kg m-3 level (Figs. 1.2.2 and 1.2.3). Some degree of variability is, however, observed in its position and concentration in the western interior basin particularly in the vicinity of the wide topographic slope zone adjacent to the northwestern shelf. The nitrate structure is accompanied by occasional peaks of ammonium and nitrite on the order of 0.5 ��M and 0.1 ��M, respectively, near the base of the euphotic zone due to inputs from excretion and aerobic organic matter decomposition following subsurface plankton production (Fig. 1A.2.2). They, however, rapidly deplete below the euphotic zone.��

Within the oxygen deficient layer below st ~15.6 kg m-3, organic matter decomposition via denitrification, and oxidation of reduced manganese and iron result in a sharp decrease of nitrate concentration to trace values at st ~16.0 kg m-3 isopycnal surface (Figs. 1.2.2 and 1.2.3). As nitrate is reduced to nitrogen gas, nitrite formed as an intermediate product marks the limits of denitrification zone; its peak concentration up to 0.2 ��M is usually observed at st ~15.85��0.05 kg m-3 (Fig. 1A.2.2 and 1.2.3). Nitrite is often used to oxidize ammonium (the anammox reaction; NO2-+NH4+→N2) as documented recently (Kuypers et al., 2003). The deep sulphide-bearing waters contain no measurable nitrate, but constitute large pools of ammonium and dissolved organic nitrogen. Ammonium concentration increases sharply below st ~16.0 kg m-3, reach at values of 10 ��M at 150 m (st ~16.5 kg m-3) and 20 ��M at 200 m (st ~16.8 kg m-3) (Fig. 1A.2.3). The gradient of ammonium profiles in the vicinity of the suboxic-anoxic interface suggests no ammonium supply to the euphotic zone from the anoxic region.

The vertical structure of phosphate concentration resembles nitrate in the upper layer but has a more complex structure in the suboxic-anoxic layers (Fig. 1A.2.3). Phosphate concentrations increase gradually within the deeper part of euphotic layer up to a maximum value of 1.0-1.5 ��M around st ~15.6 kg m-3, and then decreases to minimum of about 0.5 ��M at st ~15.9��0.1 kg m-3 where nitrite locally displays a peak. It then increases abruptly to peak values of 5.0-8.0 ��M near st ~16.2 kg m-3 that coincides with the first appearance of sulfide in the water column and therefore coincides with the anoxic boundary. Formation of this peak has been explained by dissolution of phosphate-associated iron and manganese oxides. Silicate possesses a relatively simple vertical structure with a steady increase of concentrations below the euphotic layer up to about 70-75 ��M at st ~16.2 kg m-3 and then to about 150 ��M at st ~16.8 kg m-3 (Fig. 1A.2.3).

The boundary between the suboxic and anoxic layers involves a series of complicated redox processes. As dissolved oxygen and nitrate concentrations vanish, dissolved manganese, ammonium and hydrogen sulfide concentrations begin to increase (Fig. 1A.2.3). Marked gradients of particulate manganese around this transition zone near st ~16.0 kg m-3 reflect the role of manganese cycling. The deep ammonium, sulfide and manganese pools have been accumulating during the last 5000 years as a result of organic matter decomposition after the Black Sea has been converted into a two-layer stratified system.

The anaerobic sulfide oxidation and nitrogen transformations coupled to the manganese and iron cycles form the first-order dynamics maintaining stability of the interface structure between the suboxic and anoxic layers. The upward fluxes of sulfide and ammonium are oxidized by Mn(III, IV) and Fe(III) species, generated by Mn(II) and Fe(II) oxidation in reactions with nitrate. The upward flux of ammonium is also oxidized by NO2- via anammox reaction (Kuypers et al., 2003). These oxidation-reduction reactions are microbially catalyzed, but dissolved chemical reduction may also play a role in Mn(IV) reduction with sulfide. Trouwborst et al. (2006) have recently shown the key role of soluble Mn(III) in manganese catalytic redox cycle. Mn(III) acquires a second peak at the top of the SOL, just below the layer where O2 disappears and particulate and dissolved manganese starts increasing with depth.

Anaerobic photosynthesis is an additional mechanism contributing to the oxidation-reduction dynamics near the anoxic interface. The reduced chemical species (HS-, Mn2+, Fe2+) are oxidized by anaerobic phototrophic bacteria in association with phototrophic reduction of CO2 to form organic matter. This mechanism was supported by the discovery of large quantities of bacteriochlorophyll pigments near the suboxic-anoxic boundary (Repeta et al., 1989; Repeta and Simpson, 1991; Jorgensen et al., 1991; Jannasch et al., 1991). A particular bacterium is capable of growth using reduced S (H2S or S0) at very low light levels (<<0.1% of the incident radiation at the surface). Its contribution, however, is mostly limited to cyclonic regions where the anoxic interface zone is shallow enough to be able to receive sufficient light to maintain photosynthetic activity. The third mechanism is direct oxidation of H2S by oxygen and particulate manganese near the interface layer. Konovalov and Murray (2001) show that more than 50% of the upward flux sulfide could be consumed by this pathway.

1.2.2. Circulation characteristics

The upper layer waters of the Black Sea are characterized by a predominantly cyclonic, strongly time-dependent and spatially-structured basin-wide circulation. Many details of the circulation system have been explored by the recent hydrographic data (Oguz et al., 1994; 1998; Oguz and Besiktepe, 1999; Gawarkiewicz et al., 1999; Krivosheya et al., 2000), Lagrangian floats (Afanasyev et al., 2002; Poulain et al., 2005; Oguz et al., 2006), the satellite AVHRR and ocean color data (Oguz et al., 1992; Sur et al., 1994, 1996; Sur and Ilyin, 1997; Ozsoy and Unluata, 1997; Ginsburg et al., 2000, 2002a,b; Afanasyev et al., 2002; Oguz et al., 2002a; Zatsepin et al., 2003), altimeter data (Korotaev et al., 2001 and 2003; Sokolova et al., 2001), as well as modeling studies (e.g. Oguz et al.,1995; Stanev and Beckers, 1999; Besiktepe et al., 2001; Staneva et al., 2001; Beckers et al., 2002; Korotaev et al., 2003).

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Fig. 1A.2.4. A typical structure of the upper layer circulation field deduced from a circulation model using assimilation of altimeter sea level anomaly data as described by Korotaev et al. (2003).��

These analyses reveal a complex, eddy-dominated circulation with different types of structural organizations of water masses within the interior cyclonic cell, the Rim Current jet confined mainly along the abruptly varying continental slope and margin topography around the basin, and a series of anticyclonic eddies along onshore side of the Rim Current (Fig. 1A.2.4). The interior circulation consists of several sub-basin scale gyres, each of which is formed by several cyclonic eddies. They evolve continuously by interactions among each other, as well as with meanders and filaments of the Rim Current. The overall basin circulation is primarily forced by the curl of wind stress throughout the year, and further modulated by the seasonal evolution of the surface thermohaline fluxes and mesoscale features arising from the basin�����s internal dynamics. The strong topographic slope together with the coastline configuration of the basin governs the main pattern of the Rim Current system but it modulates seasonally from a more coherent structure in the winter and spring to more turbulent structure in the late summer and autumn. The fresh water discharge from the Danube contributes to buoyancy-driven component of the basin-wide cyclonic circulation system. Baroclinic instability processes are responsible by introducing considerable variability of the Rim Current in the form of eddies, meanders, filaments, offshore jets that propagate cyclonically around the basin. Over the annual time scale, westward propagating Rossby waves further contribute to the complexity of basin wide circulation system (Stanev and Rachev, 1999). Eddy dynamics and mesoscale features evolving along the periphery of the basin as part of the Rim Current dynamic structure appear to be the major factor for the shelf-deep basin exchanges. They link coastal biogeochemical processes to those beyond the continental margin, and thus provide a mechanism for two-way transports between near shore and offshore regions.

The ship mounted Acoustic Doppler Current Profiler (ADCP) and CTD measurements in the western Black Sea (Oguz and Besiktepe, 1999), carried out soon after an exceptionally severe winter conditions in 1993, provided striking findings in regards to the intensity and vertical structure of Rim Current in the western basin. The data has shown a vertically uniform current structure in excess of 50 cm/s (maximum value ~100 cm/s) within the upper 100 m layer, followed by a relatively sharp change across the pycnocline (between 100 and 200 m) and the vertically uniform sub-pycnocline currents of 20 cm/s (maximum value ~40 cm/s) up to 350 m being the approximate limit of ADCP measurements. The cross-stream velocity structure exhibited a narrow core region (~30 km) of the Rim Current jet that was flanked by a narrow zone of anticyclonic shear on its coastal side and a broader region of cyclonic shear on its offshore side. Such exceptionally strong sub-pycnocline currents of the order of 20-40 cm/s should be largely related with the severity of the winter conditions that was indeed one of the most severe winters of the last century (Oguz et al., 2006). The corresponding geostrophically-estimated currents from the CTD measurements were relatively weak due to the lack of ageostrophic effects and barotropic component of the current.

Contrary to the jet-like flow structure over the continental slope along the southern coast, the currents measured by ADCP over the northwestern shelf (NWS) were generally weaker than 10 cm/s (Oguz and Besiktepe, 1999). Relative weakness of the shelf currents is consistent with the fact that the continental slope acts as an insulator limiting the effects of Rim Current and mesoscale features propagating over the wide topographic slope zone between the NWS and the deep interior.

Apart from complex eddy-dominated features, larger scale characteristics of the upper layer circulation system possess a distinct seasonal cycle (Korotaev et al., 2003; Poulain et al., 2005). The interior cyclonic cell in winter months involves a well-defined two-gyre system surrounded by a rather strong and narrow jet without much lateral variations. This system gradually transforms into a multi-centered composite cyclonic cell surrounded by a broader and weaker Rim Current zone in summer. The interior flow field finally disintegrates into smaller scale cyclonic features in autumn (September-November) in which a composite Rim Current system is hardly noticeable. The turbulent flow field is rapidly converted into a more intense and organized structure after November-December.

The basic mechanism which controls the flow structure in the surface layer of the northwestern shelf is spreading of the Danube outflow. Wind stress is an additional modifier of the circulation. The Danube anticyclonic eddy confines within a narrow band along the coast between Odessa and Constanta and is introduced by the wind forcing prevailing for almost half of the year during spring and summer months (Fig. 1A.2.5a,b). It sometimes expands and occupies almost the whole NWS region (Fig. 1A.2.5b). The Constanta and Kaliakra anticyclones located further south have a typical lifespan of 50 days and are observed for about 190 days per year.

An alternative configuration of the River Danube plume is the southward coastal current system (Fig. 1A.2.5a). The leading edge of this plume protrudes southward (i.e. downstream) as a thin baroclinic boundary current along the western coastline. The flow system is separated from offshore waters by a well defined front as inferred from the large contrast between the chlorophyll concentrations in the figure. Its offshore flank may display unstable features, exhibits meanders and spawns filaments extending across the wide topographic slope zone (Fig. 1A.2.5b). Except such small scale features, there is almost no exchange between shelf and interior basin.

All available finding of the Black Sea circulation system suggest that the most notable quasi-persistent and/or recurrent features of the circulation system, as schematically presented in Fig. 1A.2.6, include (i) the meandering Rim Current system cyclonically encircling the basin, (ii) two cyclonic sub-basin scale gyres comprising four or more gyres within the interior, (iii) the Bosporus, Sakarya, Sinop, Kizilirmak, Batumi, Sukhumi, Caucasus, Kerch, Crimea, Sevastopol, Danube, Constanta, and Kaliakra anticyclonic eddies on the coastal side of the Rim Current zone, (iv) bifurcation of the Rim Current near the southern tip of the Crimea; one branch flowing southwestward along the topographic slope zone and the other branch deflecting first northwestward into the shelf and then contributing to the southerly inner shelf current system, (v) convergence of these two current systems near the southwestern coast, (vi) presence of a large anticyclonic eddy within the northern part of the northwestern shelf.

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Fig. 1A.2.5. SeaWiFS chlorophyll distributions showing two alternative forms of circulation structure in the northwestern shelf; (a) a southward coastal current system during days 152-155 (early June) and (b) a closed circulation system confined into its northern sector during days 194-197 (mid-July), 1998 (from Oguz et al., 2001).

Lagrangian subsurface current measurements by three autonomous profiling floats deployed into the intermediate layer and deep layers permitted new insights on strength and variability of the flow field (Korotaev et al., 2006). They, for the first time provided direct, quantitative evidence for strong currents and a well organized flow structure that changed the traditional views built on a rather sluggish deep circulation of the Black Sea. The data suggested active role of mesoscale features on the basin-wide circulation system at 200 m similar to the case observed in the upper layer (<100 m) circulation system.�� The currents reach a maximum intensity of 15 cm s-1 along the Rim Current jet around the basin, which is consistent with the findings of ADCP measurements (Oguz and Besiktepe, 1999).

The magnitudes of deep currents may reach to 5 cm s-1 at 1500 m depth along the steep topographic slope (Korotaev et al., 2006). The combination of float and altimeter data suggests that deep currents are steered by the steep topographic slope and well-correlated with the structure of surface currents at seasonal and longer time scales. The deep layer currents flow along the strong topographic slope following constant potential vorticity isoclines due to the topographic β-effect. The wind stress, as the main driving force, can introduce a barotropic flow on the order of 5 cm s-1 as further supported by the numerical modeling studies (Stanev, 1990; Oguz et al., 1995; Stanev and Beckers, 1999).�� The floats at the intermediate (750 m) and deep (1550 m) layers also delineate the importance of mesoscale eddies on the flow field.

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Fig. 1A.2.6 Schematic diagram for major quasi-permanent/recurrent features of the upper layer circulation identified by synthesis of hydrographic studies and analysis of the sea level anomaly altimeter data (modified from Korotaev et al. 2003).

1.2.3. Climatic properties

Water budget: On the basis of available data since the 1920s (Ilyin et al., 2006), the total river discharge and precipitation into the sea show weak but opposite trends that compensate each other and therefore their sum remain uniform at ~550 km3 y-1 (Fig. 1A.2.7). Evaporation varied slightly around 400 km3 y-1 up to the mid 1970s (except 15% increase in the 1940s), and then decreased steadily to ~300 km3 y-1 during the subsequent 15 years and stabilized at this value afterwards. The net fresh water flux into the sea, therefore, revealed an increasing trend from ~120 km3 y-1 in the early 1970s to ~300 km3 y-1 in the mid-1990s with additional fluctuations of ~100 km3 y-1. Its difference from the temporal volume change of the sea (which in fact may be calculated by the sea level data) implies a nearly two-fold change in the net outflow from the Black Sea into the Bosporus during the second half of the 1990s with respect to the 1960s.

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Fig. 1A.2.7 Long-term variations of the river discharge, precipitation, evaporation (km3 y-1) for the Black Sea together with net water flux and the corresponding net Bosphorus inflow from the Black Sea (after Ilyin et al., 2006).

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Fig. 1A.2.8. Yearly changes of the Danube discharge (km3 y-1) during 1960-2005 (data provided by A. Cociasu).

One of the implications of water budget analysis is a continuous trend of decrease of the total river discharge from the early 1980s to the mid-1990s and then an increase during the rest of the 1990s. The Danube discharge was mainly responsible for these changes as it decreased to 100 km3 y-1 in the 1980s (up to 1993) and started increasing again by the same amount during the 1990s (Fig. 1A.2.8). A similar reduction took place once again during 2000-2003, but 2004-2005 was a recovery phase to the level in the 1999. A closer inspection of its monthly variations (Fig. 1A.2.9) in fact reveals two different modes of variations depending on the regional climatic variations. Some years (e.g. 1993, 1995, 2000, 2001, 2002, 2004, and 2005) were characterized only by the spring peak. The years 1994, 1996-1999 attained both winter and spring peaks, whereas no spring discharge occurred in 2003. A limited Danube inflow took place previous autumn and winter months of this particular anomalous year and therefore the Black Sea received the lowest discharge rate from the Danube since the beginning of the 1990s.

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Fig. 1A.2.9. Monthly changes of the Danube discharge (km3 y-1) during 1993-2005 (blue) and its annual-mean variations (green) (data provided by A. Cociasu).

Sea Surface Temperature: The winter-mean (December-March) sea surface temperature (SST) variations shown in Fig. 1A.2.10 were described by different monthly-mean data sets. The first one was complied by Hadley Centre, UK Meteorological Office from all available in situ measurements within the interior part of the basin with depths greater than 1500 m and Advanced Very High Resolution Radiation (AVHRR) satellite observations (Rayner et al., 2003). The second data set was provided by the Global Ice-Sea Surface Temperature, version 2.2 data set (GISST2.2) for the region confined by 42�������44��N latitude range and 29�������39��E longitude range during 1950�����1994 (Kazmin and Zatsepin, 2007). Other data sets include the NCEP-Reynolds 1o resolution monthly AVHRR night-time measurements for 1983�����2006 and 4 km resolution weekly Pathfinder5 AVHRR night-time measurements for 1987�����2005. Fig. 1A.2.10 also shows the minimum Cold Intermediate Layer temperature variation (characterized by temperatures less than 8oC below the seasonal thermocline) as the mean of all available data from the interior basin for May-November period of 1950-1995 (Belokopytov, 1998) and from the regular measurements along several cross-sections within the eastern Black Sea during July-September period of 1990-2004 (Krivosheya et al., 2005).

The winter GISST data reveal an approximately 1.0oC cooling trend from 9.0oC in 1970 to 8.0oC in 1985. The Hadley SST data instead remain uniform at 8.7��0.1oC during the 1960s and 1970s and then decreased abruptly from about 8.5oC at 1981 to 7.7oC at 1984. The cooling phase persists up to 1994 and switches abruptly to the warming mode until 2002 that was then replaced by a cooling mode up to the present. The NCEP-Reynolds data that form a part of the Hadley data set are similar to the Hadley one after 1993. The more recent and refined Pathfinder data set was also similar to the NCEP-Reynolds data after the beginning of the 1990s. The accompanying CIL data support reliability of the Hadley winter SST data because the minimum CIL temperature in summer months reflects signature of the winter SST.�� Approximately 0.7oC difference between the subsurface summer CIL temperature and the winter Hadley SST should probably arise from different spatial averaging of the variable data sets.

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Fig. 1A.2.10. Long-term variations of the basin-averaged winter-mean (December-March) Sea Surface Temperature (SST) during 1960-2005 using the monthly data sets of Hadley Centre-UK Meteorological Office (blue), GISST (Kasmin and Zatsepin, 2007; red), NCEP-Reynolds 1o resolution AVHRR (violet), Pathfinder5 4 km resolution AVHRR (black), minimum temperature of the Cold Intermediate Layer for the mean of May - November period (green), and the winter-mean (December-March) SST measured near Constanta (Romanian coast). All these data were plotted after smoothed by the three point moving average.

Considerable regional variability up to 2oC between the colder interior basin and warmer peripheral zone irrespective of the interannual variability is a striking feature of the Black Sea (Fig. 1A.2.11). In general, regional meteorological conditions in the eastern part favour milder winters and warmer winter temperatures in the surface mixed layer. Thus the decadal warming signature was felt more pronouncedly in the eastern basin during the 1990s. The western coastal waters receiving the freshwater discharge from Danube, Dniepr and Dniestr Rivers correspond to the coldest parts of the Black Sea that are roughly twice colder than the southeastern corner of the basin irrespective of the year (Fig. 1A.2.11).��

Consistency between the summer-autumn mean CIL temperature and the winter SST variations in terms of both timing and duration of the warm and cold cycles implies propagation of the winter warming/cooling events to 50-60 m depths during rest of the year. The existence of sharp thermocline helps to preserve the CIL signature throughout the year irrespective of the surface mixed layer temperature structure. The high correlation (r=0.89 with significance level=0.99) between the summer-autumn mean CIL temperature and the winter (December-March) mean winter SST allows a rough estimate of the former from the satellite data using the empirical relationship T(CIL)=0.619*SST+2.063.

The summer SST variations differ from the winter ones to a considerable extent (Fig. 1A.2.12; blue). For example, cold winters of 1991-1992 are followed by relatively warm summers with SST ≥ 25oC in August. Contrary to a steady rise of the winter SST after 1994, summer SSTs remain relatively low (below 24.5oC) until 1998, and fluctuates between 25oC and 26oC afterwards. In-situ measurements along the northeastern coast (Shiganova, 2005) generally support these features (blue line in Fig. 1A.2.12). On the other hand, the annual-mean basin-averaged SST reveals a warming trend from ~14.8oC in 1989 to 15.6oC in 2005 with some oscillations along the trend (green line in Fig. 1A.2.12). In particular, 1992, 1993, 1997, 2003 and 2004 emerge as cold years.

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Fig. 1A.2.11. The mean SST distribution in February for 2001 and 2003 obtained from 9 km monthly-mean, gridded NOASS/NASA AVHRR Oceans Pathfinder data set (after Oguz et al., 2003). The curve (in white colour) shows 200 m bathymetry.

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Fig. 1A.2.12. Annual-mean (triangles) and August (dots) SST variations obtained by the basin-averaging of 9 km monthly-mean, gridded NOASS/NASA AVHRR Oceans Pathfinder data, and annual-mean (stars) and August (squares) SST variations measured at Constanta (Romanian coast) and along the northeastern coastal waters (crosses; Shiganova, 2005).

Sea level: It is a prominent feature of global warming as well as large scale atmospheric systems in regional seas.�� Sea level change provide best response of the physical climate to atmospheric forcing, because the link includes an overall response of the changes in the surface atmospheric pressure through the inverse barometer effect, water density changes in response to temperature and salinity variations (steric effects), precipitation, evaporation and river runoff.�� The detrended sea level anomaly (SLA) time series (Reva 1997, Tsimplis and Josey 2001, Stanev and Peneva 2002), as an average of the measurements at 12 coastal stations around the Black Sea, oscillate within the range of 10 cm (Fig. 1A.2.13a). Its higher (lower) values coincide with the warm (cold) cycles of the water temperature indicating that a part of the observed sea level change has a thermal origin due to the thermo-steric effect. The annual-mean tide-gauge data show a high degree of consistency with the altimeter SLA data as well (Fig. 1A.2.13b). They both exhibit a rising trend of 3 cm y-1 from 1993 to the mid-1999 followed by -3.0 cm y-1 declining trend for 07/1999�����12/2003 in consistent with the cooling phase indicated by the winter SST data. When monthly variations of the SLA are resolved, the linear trend of rise increases to 20 cm during 1992-1999 (Fig.1.2.14) that was roughly 3 cm higher than the estimate based on the coastal tide gauge data (Tsimplis and Josey, 2001; Stanev and Peneva 2002). Good agreement between the monthly SLA changes and the Danube discharge rates suggest its predominant role on the basin-scale sea level oscillations.

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Fig. 1A.2.13a. Long-term variations of the detrended sea level anomaly (blue) after high frequency oscillations have been filtered by the three point moving average and its comparison with annual mean sea level anomaly retrieved from satellite altimeter measurements (after Oguz et al., 2006).

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Fig. 1A.2.13b. Comparision of the detrended monthly-mean sea level anomaly obtained from the basin-averaged altimeter data (black) and the mean of 12 coastal sea level stations around the basin (blue)�� (after Goryachkin et al., ��2003).

Air Temperature and surface atmospheric pressure: The winter-mean air temperature anomaly data from various coastal stations around the periphery of the basin (Titov, 2000; 2002) exhibit similar temporal variations, even though the mean temperatures and their range of variations may differ from the western to eastern end of the basin. Fig. 1A.2.15 provides an example along the northern coast of the central Black Sea. Fig. 1A.2.15 also includes the spatially averaged 2o resolution data retrieved from the URL site ftp://data.giss.nasa.gov/pub/gistemp/txt/.

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Fig. 1A.2.14. Monthly (blue) and yearly (green) SLA changes in the Black Sea during 1993-2006 together with its long-term trend (brown) and two shorter term trends (yellow) for 1993-1999, 1999-2003, and 2003-2006.

In general, the long-term AT anomaly data since 1885 exhibit a linear warming trend with the overall temperature rise of 0.9 oC (Oguz et al., 2006). It is consistent with the warming observed in winter temperature over Eurasia that was explained partly by temperature advection from the North Atlantic region (i.e. connected to the NAO) and partly by the radiative forcing due to increased greenhouse gases (Hurrell, 1996).�� The last two decades have been subject to its abrupt variations over 10 year cycles (Fig. 1A.2.15). In particular, according to the GISST data set, the winter AT anomaly decreased 2.0oC during the mid-1970s and 1985-1995. The former was less whereas the latter was more pronounced for the coastal station data. Both the timing and duration of the warm and cold cycles fit reasonably well with the winter-mean (December-March) SST and the summer-autumn (May-November) mean CIL temperature time-series (Fig. 1A.2.10). The agreement between the winter-mean AT anomaly and SST is particularly good for the GISS-based data sets.

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Fig. 1A.2.15. Winter (December-March) mean air temperature anomaly variations measured at the meteorological station near the Kerch Strait (red) and obtained by averaging of the GISST data for the basin (green), and winter (December-March) mean surface atmospheric pressure (hPa) obtained by averaging ERA40 data over the basin (blue).�� High frequency oscillations in the data have been filtered by the three point moving average.

The winter (December-March mean) basin-averaged sea level pressure (SLP) distribution over the Black Sea (Fig. 1A.2.15) follows closely the winter air temperature time series.�� The severe winters with low air temperatures tend to be associated with higher sea level atmospheric pressures (up to 1021 hPa), whereas lower pressures correspond to milder winter seasons. Decreasing winter air temperature trend during the 1985-1993 is supported by an increasing trend of the winter surface pressure and vice versa for the 1990s.��

Link to teleconnection patterns over the Eurasia: The North Atlantic Oscillation (NAO) defined as an index representing the normalized sea level atmospheric pressure difference between Lisbon, Portugal (for the Azores high pressure system) and Stykkisholmur/Reykjavik, Iceland (for the Icelandic low pressure system) is an important mode of variability of the Northern Hemisphere atmosphere (Marshall et al., 1997). Its positive values for winter (December through March) indicate strong pressure gradient between these two pressure systems that brings cold and dry air masses to southern Europe and Black Sea region by strong westerly winds (Hurrell, et al., 2003). In these periods, the Black Sea region is affected by the Azores high pressure center and thus characterized by the higher surface air pressure values, reduced evaporation and colder air and sea surface temperatures (Fig. 1A.2.16). Conversely, the negative NAO index that implies lower surface atmospheric pressure differences gives rise to milder winters with warmer air temperatures and less dry/more wet atmospheric conditions transported over the Black Sea from the southwest. Various studies in the Mediterranean, Black and Caspian Seas (e.g., Reva, 1997; Ozsoy, 1999; Tsimplis and Josey, 2001; Stanev and Peneva, 2002; Oguz, 2005b; Oguz et al., 2006; Kazmin and Zatsepin, 2007) established a regional dynamical link to the NAO.�� The NAO signature has also been recorded in stream flow changes of the Tigris and the Euphrates Rivers (Cullen and deMenocal, 2000), as well as in the River Danube discharge (Polonsky et al., 1997; Rimbu et al., 2004).

The general consistency between periods of positive (negative) NAO index values and relatively low (high) sea surface and air temperatures, higher (lower) surface air pressures supports the presence of a teleconnection between the regional atmospheric conditions and the NAO-driven large scale atmospheric motion (Oguz et al., 2006, Kazmin and Zatsepin, 2007). In terms of duration and intensity of events, the sequence of mild and severe winter cycles follows the temporal pattern of the negative and positive NAO cycles, respectively. In particular, the strong cooling trend during 1980-1993 characterizes an extended strongly positive NAO index phase with an increasing trend. The subsequent warming trend in SST coincides with the weakening of positive NAO index and its decreasing trend.

Krichack et al. (2002) have shown that interannual variability of precipitation over the eastern Mediterranean can be explained more appropriately by the joint analysis of the NAO and EAWR indices which incorporates different possible combinations of a quadrapole system formed by the high and low surface pressure anomaly centers over the North Atlantic and the Eurasia as representative of different states of the eastern Mediterranean atmosphere. Oguz et al. (2006) later adopted this concept for the Black Sea in order to explain some peculiarities of the climatic variations which can not be described well by the NAO alone.

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Fig. 1A.2.16. Long-term variations of the winter North Atlantic Oscillation index (blue), East Atlantic-West Russia (EAWR) index (green) and Iceland sea surface temperature (red). High frequency oscillations in the data have been filtered by the five point moving average.

The winter (December-January-February) mean East Atlantic-West Russia (EAWR) index represents the zonal shift between quasi-persistent high and low surface pressure anomaly centers over the Western Europe and the Caspian region (Fig. 1A.2.16). This system characterizes the second strongest mode of the North Atlantic climate (Molinero et al., 2005) and zonally modulates the NAO over the Eurasia continent. Its positive phase (EAWR index > 0) results from the joint effect of the increased anticyclonic anomaly center over the North Sea and the increased cyclonic anomaly center over the Caspian Sea. The Black Sea region is then exposed to cold and dry air masses from the northeast-to-northwest sector. Alternatively, its negative phase (EAWR index < 0) is associated with the cyclonic anomaly center over the North Sea and the anticyclonic activity over the Caspian Sea (i.e. relatively low pressure difference over the Europe). In this case, the Black Sea region is affected by warmer and wetter winter conditions under the influence of increased southwesterlies-to-southeasterlies. They resemble closely the North Sea-Caspian Pattern (NCP) index introduced using 500 hPa geopotential anomaly patterns by Kutiel and Benaroch (2002).

When both NAO>0 and EAWR>0, the system was governed by the low pressure anomaly centers over Iceland and Caspian Sea and a high pressure anomaly centers over Azores and the North Sea. This case leads to strongest cold winters in the Black Sea due to cold air mass outbreaks from the northwest and/or the northeast as in the case of early 1990s.�� When NAO>0 and EAWR<0, the Caspian low is replaced by an anticyclonic anomaly center, and the Black Sea region is then controlled by either cold air outbreaks from the northwest or warm air outbreaks from the southeast depending on the relative strengths and spatial coverages of the Icelandic low and Caspian high pressure systems. This case applies to the period of 1970-1975 and may be the reason for a weak cooling signature noted in the SST even if the NAO was in strong positive mode. The reverse case of NAO<0 and EAWR>0 gives rise to the cold winters with cold air outbreaks from the northern sector. Alternatively, the warm and mild winters may also prevail when the Azores high pressure system is sufficiently strong and protrudes towards the east.�� As suggested by the Black Sea hydro-meteorological time series data, the latter case occurred during the 1960s and 1990s. When both NAO<0 and EAWR<0, the system is affected by the warm air mass intrusions from the southwest-southeast sector giving rise to mild winters in the Black Sea. Its typical example was observed during the second half of the 1970s.

The decadal variations observed in the Black Sea hydro-meteorological properties are consistent to some extent solar (sun spot) variations having the 10-12 year periodicity.�� The periods of solar minima coincide with reduced air and sea surface temperatures, which generally correspond to the periods of positive NAO index values. In contrast, the periods of solar maxima coincide with the periods of higher air and sea surface temperatures characterized by negative values in the NAO index. A positive correlation exists between the SST and the sunspot number for each five year bins of the consecutive cold and warm cycles of the 1960-2000 phase. The in-phase variations between the sun spot number and the regional hydro-meteorological characteristics may suggest possible impact of the solar activity its link to the lower atmosphere and subsequently air and sea surface temperatures of the Black Sea.��

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CHAPTER 1B GENERAL OCEANOGRAPHIC PROPERTIES:�� GEOGRAPHY, GEOLOGY AND GEOCHEMISTRY (N. Panin)

N. Panin

National Institute of Marine Geology and Geo-ecology ����� GeoEcoMar, Romania

1B.1 Geographic position and physiography

The Black Sea is one of the largest almost enclosed seas in the world: its area is about 420 thousands km2, the maximum water depth 2.212 m, the total water volume of about 534,000 km3. The Black Sea is placed in the southeastern part of the Europe between 40�� 54����� 40���� and 46�� 34����� 30���� northern latitudes, 27�� 27����� and 41�� 46����� 30���� eastern longitudes. The sea is roughly oval-shaped. The maximum extent of the sea in the east-west direction is about 1175 km, while the shortest distance is of some 260 km between the southernmost tip of the Crimea and the Cape Kerempe on the Turkish coast (Fig. 1B.1). The Black Sea is connected to the Mediterranean Sea to the west and to the Sea of Azov to the north. The connection with the Mediterranean Sea is limited to the Istanbul-Canakkale (Bosporus-Dardanelles) straits. The Istanbul Strait is a rather narrow (0.76 ����� 3.6 km large) and shallow strait (presently 32 ����� 34 m at the sill) restricting the two-way water exchange between the Black and Mediterranean Seas. The other connection, with the Sea of Azov is realized by the Strait of Kerch.

SOE 2009 image

Fig. 1B.1. Geomorphologic zoning of the Black Sea (after Ross et al.,1974, Panin and Ion, 1997).

Legend; 1, continental shelf; 2, continental slope; 3, basin apron: 3 a - deep sea fan complexes; 3 b - lower apron; 4, deep sea (abyssal) plain; 5, paleo-channels on the continental shelf filled up with Holocene and recent fine grained sediments; 6, main submarine valleys - canyons; 7, paleo-cliffs near the shelf break; 8, fracture zones expressed in the bottom morphology.

The Black Sea is surrounded by high folded mountain chains represented by the Balkanides-Pontides belts to the south-west and south, by the Great and Little Caucasus to the east and by the Crimea Mountains to the north. There are low-standing plateaux and the Danube delta lowland only in the west and north-west. On the opposite eastern side there is the Kolkhida lowland of smaller extent. Consequently the relief energy is much higher on the eastern and southern costs than on the northwestern shore.

SOE 2009 image

Fig. 1B.2. Tectonic sketch of the Black Sea Region (after Dinu et al., 2003; Panin et al., 1994).

Legend: 1, Orogene overthrust front; 2, Gravitational faults of the rift; 3, Major strike-slip faults; 4, Major faults; 5, Limits of depressions and/or ridges; 6, Zone without granitic crust; 7, Thinned crust. Explanation of abbreviations:�� I. Platform regions: East European, Scytian, Moesian: II. Orogenic regions: North Dobrogea Orogene, Greater Caucasus, South Crimea Orogene ����� SCO, Balkanides, Western and Eastern Pontides; III. Depressions and ridges: PDD ����� Pre-Dobrogean Depression; NKLD ����� North Kilia Depression; KD ����� Karkinit Depression; HD ����� Histria Depression; SD ����� Sorokin Depression; KTD ����� Kerci-Taman Depression; NKD ����� Nijne-Kamchiisk Depression; BD ����� Burgas Depression; ATD ����� Adjaro-Trialet Depression; TB ����� Tuapse Basin; SSR ����� Suvorov-Snake Island Ridge; KR ����� Krymskyi Ridge; AR ����� Azov Ridge; GR ����� Bubkin Ridge; IV. WBS ����� Western Black Sea; V. EBS ����� Eastern Black Sea;

The Black Sea basin can be divided into four physiographic provinces: the shelf representing about 29.9% of the total area of the sea, the basin slope - about 27.3% of the total area, the basin apron, with 30.6%, and the abyssal plain - 12.2% (Fig. 1B.1). One of the most prominent physiographic features is the very large shallow (less than 200 m deep) continental shelf within the northwestern Black Sea (about 25 % of the total area of the sea). The Crimean, Caucasian and southern coastal zones are bordered by very narrow shelves and often intersected by the submarine canyons.

1B.2. Geology of the Black Sea

Geologists consider the Black Sea a back-arc marginal extensional basin, which originated from the northward subduction of the Neo-Tethys along the southern margin of the Eurasian plate under a Cretaceous-Early Tertiary volcanic arc (Letouzey et al., 1977; Dercourt et al., 1986; Zonenshain and Le Pichon, 1986) as a result of the northward movement of the Arabic plate (Fig. 1B.2).

Since about 120 million years ago, the area has been a marine basin, with extremely dynamic development and large sediment accumulation of about 13 km of bottom sediment thickness in the central part of the basin. There are two extensional sub-basins with different geological history (Fig. 1B.2): (1) the Western Black Sea Basin, which was opened by the rifting of the Moesian Platform some 110 Ma ago (Late Barremian) followed by major subsidence and probable oceanic crust formation about 90 Ma ago (Cenomanian) (Astyushkov, 1992; Finetti et al., 1988; G��r��r, 1988) and (2) the Eastern Black Sea Basin, with rifting beginning probably in the Late Palaeocene (about 55 Ma ago), and extension and probable oceanic crust generation in the Middle Eocene (ca.45 Ma ago) (Robinson et al., 1995).

1B.3. Water and sediment supply from rivers

The Black Sea has an extremely large drainage basin of more than 2 million km2, collecting the water from almost all the European countries, except the westernmost ones. The northwestern Black Sea receives the discharge of the largest rivers in the Black Sea drainage area ����� the Danube River with a mean water discharge of about 200 km3/yr and the Ukrainian rivers Dniepr, Southern Bug and Dniestr contributing with about 65 km3/yr (Table 1B.1). Presently the influence of the Danube River is predominant for the sedimentation on the northwestern Black Sea shelf area.

The Danube influence extends far southward up to the Bosporus region, as well as down to the deep sea floor. Presently the other three tributaries of the north-western Black Sea (Dniestr, Dniepr and Southern Bug) are not significant suppliers of sediments because they are discharging their sedimentary load into lagoons separated from the sea by beach barriers.

Table 1B.1. Fluvial water and sediment discharge into the Black Sea. *Data from Balkas et al. (1990); ** multiannual mean discharge before damming the River Danube after Bondar (1991); Panin (1996).

Rivers Length(Km) Drainage basinArea�� (Km2) Water discharge(Km3/yr) Sediment discharge (Mt/yr)
I. North-Western Black Sea
Danube 2,860 817,000 190.7 51.70**
Dniestr 1,360 72,100 9.8 2.50*
Dniepr 2,285 503,000 52.6 2.12*
Southern Bug 806 63,700 2.6 0.53*
Sub-total I:   1,455,800 255.7 56.85
II. Sea of Azov
Don 1,870 442,500 29.5 6.40*
Kuban 870 57,900 13.4 8.40*
Sub-total II:   500,400 42.9 14.80
III. Caucasian coast rivers     41.0* 29.00*
IV. Anatolian coast rivers     29.7 51.00*
V. Bulgarian coast rivers     3.0* 0.50*
T O T A L :     372.3 152.15
SOE 2009 image

Fig. 1B.3. The decreasing trend of the Danube River sediment discharge after damming (Iron Gates I barrage in 1970, Iron Gates II barrage in 1983).

After the damming of the Danube River at Iron Gates I and II, the river sediment discharge diminished by almost 40-45 % (Fig. 1B.3), and the real sediment load brought by the Danube into the Black Sea is not larger than 30-40 million t/yr, of which only 10-12 % is sandy material and contributes to the littoral sedimentary budget of the delta front zone.

1B.4. Sedimentary systems of the Black Sea

The sedimentary systems in the Black Sea have been strongly influenced by the sea level changes driven by the processes of global glaciation and deglaciation. The surrounding relief and the physiography of the basin play also a very important role in defining the sedimentary systems. The eastern and southern parts of the sea are characterized by high relief energy and narrow continental shelf; this facilitates the direct transfer of sediments from the continent to the deep sea and determines a coarser grain size of these sediments. The western and north-western parts of the Black Sea have wide shelf and lower relief. Instead here the largest rivers are supplying important quantities of sediments, much finer (mainly silty-clay sediments).

North-western continental shelf: On the north-western Black Sea shelf area, the dispersal pattern of the Danube sediment supply indicates the existence of two main areas with different depositional processes (Panin et al., 1998): the Danube sediment-fed internal shelf and the sediment starving, external shelf (Fig. 1B.4).

Generally speaking, on the continental shelf the following sedimentary facies can be recognised (Shcherbakov and Babak, 1979):

Modiolus Mud: The Modiolus Mud is located at the top of the sedimentary sequence between 50 to 125 m of water depth. It is a light coloured mud, very rich in Modiolus phaseolinus coquinas whose thickness does not normally exceed 30 cm.

Mytilus Mud: The Mytilus (Mytilus galloprovincialis) mud is present from the shelf break till the depth of 50 to 40 m; further it is covered by the Modiolus Mud

Dreissena Mud: Around 130 m of water depth the surficial sediment is made of shells of Dreissena. Landward, this unit is covered by the Mytilus Mud and by the Modiolus Mud. The Dreissena Mud is outcropping only at the top of the continental slope.

The vertical transition in between Dreissena Mud to Mytilus Mud corresponds to the change from fresh/brackish to marine conditions in the Black Sea.

Internal, Danube sediment - fed shelf: The sediment-fed area in the neighbourhood of the Danube Delta includes the delta front unit (about 1,300 km2) and towards off-shore, at the base of the delta front to 50-60 m depth, the prodelta covering an area of more than 6,000 km2. Its southern boundary is more difficult to define on account of the strong southward drift of fine grained sediment load discharged into the sea by the Danube, which is stumping the prodelta limit.

SOE 2009 image

Fig. 1B.4. Main sedimentary environments in the northwestern Black Sea (after Panin et al., 1998).

Legend: 1-2, Areas under the influence of the Ukrainian rivers�� sediment discharge (A ����� Dniester and B ����� Dnieper); 3, Danube Delta Front area; 4, Danube Prodelta area; 5-6, Western Black Sea continental shelf areas (5, under the influence of the Danube-borne sediment drift; 6, sediment starved area); 7, Shelf break and uppermost continental slope zone; 8, Deep-sea fans area; 9, Deep-sea floor area.

Out of the area defined as the prodelta unit, the internal, western zone of the Romanian shelf stands out as the shallow marine area (less than 50 -60 m water depth), which receives clay and siltic sediments, supplied by the Danube River. Moving as a suspended load, the sediment flux goes beyond the area in front of the Danube Delta but does not reach the eastern, external shelf zone. Under the influence of the dominant currents, the "clayey-silty" sediment flux moves southward toward the Bulgarian shelf, keeping within the western shelf area, close to the shoreline and finally discharging the sediment load in the deep-sea zone within the pre-Bosporus region.

External, sediment starving shelf: Situated outside the area covered by the Danube fed sediment flux the external, eastern part of the continental shelf represents an area practically deprived of clastic material (Fig. 1B.5). Within this sediment starving shelf area, the condensed sediment accumulation is of biogenic origin, producing an organic thin cover on relict sediments or concentrations of shells. The Danubian sediments seldom reach the shelf area north or northwest of the Danube mouths. Dniester and Dniepr, the main rivers north of Danube Delta, are themselves, as already mentioned, not significant suppliers of sediment for the north-western Black Sea shelf. Consequently, the sediment starving status characterizes almost all of the whole Black Sea continental shelf west of the Crimean Peninsula.

SOE 2009 image
SOE 2009 imageSOE 2009 image

Fig. 1B.5. Repartition of litho-stratigraphic units on the sea floor in the NW Black Sea (from S. Radan, unpublished data).

Deep sea zone of the western Black Sea: During the Upper Quaternary, in correlation with the sea-level fluctuations of this period, very large accumulations of sediments were formed in the deep-sea zone of the north-western Black Sea, mainly on the continental slope and apron areas. This accumulation is represented by two distinct but interfingering fans: the Danube fan fed by the River Danube during fan accretion and the Dniepr fan built up by the Ukrainian rivers Dniepr, Dniestr and Bug. Eight seismic sequences have been identified within each of these fans (Wong et al., 1994, 1997). While the lowermost two consist mainly of mass transport-related deposits, the six upper sequences comprise typical fan facies associations, corresponding mainly to the low stands of the sea level related to the glacials.

The interpretation of seismic sequences show that the Danube and Dniepr fans were accreted during the past 480 k.yr (sequences 3 to 8). Average deposition rates for the fan sequences range from 2.4 to 7.2 m/k.yr and the volume of material deposited within a sea level cycle lies between 4,300 km�� and 9,590 km��.

Within the deep-sea zone of the Black Sea, the existing accumulation of recent sediments is represented by coccolith ooze overlying sapropelic or organogen sediments (Ross et al., 1970) highlighting the domination of the organic component over the detrital one. Ross and Degens (1974) have defined the following succession of the upper sediment layers:

Unit I ����� coccolith ooze (0 - 3,000 yrs BP) : micro laminated carbonated�� sediment with Emiliana huxleyi

Unit II ����� sapropel beds (3,000 - 7,000 yrs BP) ����� micro laminated sediment very rich in organic matter (sapropel)

Unit III ����� banded lutite (7,000 - 25,000 yrs BP) ����� banded lutites �� turbidites.

These units correspond to the Arkhangelskiy and Strakhov�����s (1938) stratigraphic units: (1) recent deposits; (2) Old Black Sea beds, and (3) Neoeuxinian deposits (Tables 1B.2 and 1.3).

Very seldom and locally spread gravitationally transported material and mainly hemipelagic sediments occur within the slope, apron and abyssal zones, during this high stand sea level. ��

1B.5. Past environmental and sea level changes in the Black Sea

Large-scale sea level changes and consequently drastic reshaping of land morphology, large accumulation of sediments in the deep part of the sea and modifications of environmental settings occurred all along the Black Sea geologic history. The Quaternary was especially characterised by very spectacular changes, which have been driven by the global glaciations and deglaciations.

During these changes the Black Sea level behaviour was influenced by the restricted connection with the Mediterranean Sea by the Bosporus ����� Dardanelles Straits. When the general sea level lowered below the Bosporus sill, the further variations of the Black Sea level followed specific regional conditions, without being necessarily coupled to the ocean level changes. One of the main consequences of the lowstands was the interruption of the Mediterranean water into the Black Sea, which became an almost freshwater giant lake.

The main glacial periods of the Quaternary in Europe (Danube, G��nz, Mindel, Riss and W��rm) corresponded to the regressive phases of the Black Sea, with lowstands of the water level down to �����120 m. As mentioned above, the regressions represent phases of isolation of the Black Sea from the Mediterranean Sea and the World Ocean. Only the connection with the Caspian Sea could sometimes continue through Manytch valley. Correspondingly, during regressions, under fresh water conditions, the particularities of fauna assemblages had a pronounced Caspian character. On the contrary, during the interglacials, the water level rose to levels close to the present level; the Black Sea was reconnected to the Mediterranean Sea, and the environmental conditions as well as the fauna characteristics underwent marine Mediterranean influences.

For example, during the Karangatian phase (since 125 ka BP to ~ 65 ka BP) of the Black Sea, which corresponds to the warm Riss-W��rmian (Mikulinian) interglacial (Fig. 1B.6), the water level exceeded the present-day level by 8 to 12 m. The saline Mediterranean water penetrated through the Bosporus, and the Black Sea became saline (30 to 37����), with a steno- and eury-haline marine Mediterranean type fauna (Nevesskaya, 1970). The sea covered the lowlands in the coastal zone.

SOE 2009 image

Fig. 1B.6. Plaeo-geographic reconstruction of the Black Sea during the Karangatian phase (Riss-W��rmian or Mikulinian interglacial) (after Tchepalyga, 2002).

The last Upper W��rmian glaciation (Late Valdai, Ostashkovian) corresponds to the Neoeuxinian phase of the Black Sea. This is a very low-stand phase, down to -110 - 130 m. The shoreline moved far away from the present-day position, especially in the north-western part of the Black Sea, and large areas of the continental shelf were exposed (Fig. 1B.7). The hydrographic network, especially the large rivers as Palaeo-Danube and Palaeo-Dniepr, incised up to 90 m the exposed areas. The Neoeuxinian basin, during the glacial maximum (~19 �· 16 ka BP) was completely isolated from the Mediterranean Sea, and, correspondingly, the water became brackish and even fresh (3-7���� and even less), well oxygenated, without H2S contamination. The fauna was brackish to fresh water type with Caspian influence.

At about 16 - 15 ka BP, the postglacial warming and the ice caps melting started. As the supply of the melting water from the glaciers through the Dniepr and the Dniestr rivers, as well as the Danube river to the Black Sea was very direct and important, the Neoeuxinian sea-level rose very quickly, reaching and overpassing at ~ 12 ka BP the Bosporus sill altitude. The majority of scientists, who studied the Black Sea, believe that in this phase it was a large fresh-water outflow through the Bosporus-Dardanelles straits towards the Mediterranean (Aegean) Sea. Kvasov calculated (1975) that the fresh water outflow discharge was of about 190 km3/year.

SOE 2009 image

Fig. 1B.7. Palaeo-geographic reconstruction of the Black Sea during the Neoeuxinian phase (Upper W��rmian) (after Tchepalyga, 2002).

At the beginning of the Holocene, some 9-7.5 ka BP, when the Mediterranean and the Black Seas have reached the same level (close to the present day one), the two-way water exchange was established, and the process of transformation of the Black Sea in an anoxic brackish sea started. During the last 3 ka BP, a number of smaller oscillations of the water level have been recorded (���œPhanagorian regression����, ���œNymphaean���� transgression, a lowering of 1-2 m in the X-th century AD, a slow rising continuing even today).

In the late nineties, a new hypothesis was formulated by Ryan et al. (1997). They considered that, when the deglaciation started during a short episode, the level of the Black Sea was high enough, and the fresh Pontic water flowed towards the Aegean Sea. At about 12 k.yr BP, the retreat of the ice-sheet front determined the reorienting towards the North Sea, for the limited period of time of melt-water supply. The Black Sea, without the inflow of the ice-melting water during the Younger Drias cooling (~11 ka BP) until 9 ka BP, under more arid and windy climate, experienced a new lowering of the level (down to -156 m). At the same time, the Mediterranean Sea continued to rise, reaching by 7.5 K.yr BP the height of the Bosporus sill, and generating a massive input of salt water into the Black Sea basin. The flux was several hundred times greater than the world�����s largest waterfall, and it caused a rise of the level of the Black Sea, some 30 to 60 cm per day topping up the basin in few years time. More recent interpretation concludes that a deeper Bosporus sill (~ -85 m) could lead to another scenario of mixing of Black Sea and Mediterranean waters (Major et al., 2002).

This new hypothesis is still under debate; numerous data from the straits of Bosporus and Dardanelles, Marmara and Aegean Seas and the Danube Delta do not entirely support the Ryan�����s hypothesis. These data indicates that the ���œclassical���� scenario of Black Sea water outflow is rather credible. There are also some hydraulic incompatibilities for accepting a catastrophic flooding event in the Black Sea as well as a different time scale for reaching the present day salinity of the Black Sea waters (Myers at al., 2003). The scenario proposed by the EU ���œAssemblage���� project (Lericolais et al., 2006) after an extensive study of the western Black Sea is synthesized as shown in Fig. 1B.8.

��SOE 2009 image

Fig. 1B.8. The scenario of the Black Sea water level fluctuation since the Last Glacial Maximum (after Lericolais at al., 2006, Final Report of the EU project ���œAssemblage����)

The water brought to the Black Sea after the Melt Water Pulse 1A (MWP1A) at approximately 12,500 C14 BP (14,500 yr cal. BP) (Bard et al., 1990) was supposed to be sufficiently important that the water level rose up to between -40 m to -20 m, where the Dreissena layers were deposited. This water level would have brought the level of the Black Sea high enough for making possible an inflow of Mediterranean water with marine species of dinoflagellates (Popescu, 2004), and an outflow of Pontic waters towards Mediterranean Sea. Palynological studies show that during the Younger Dryas a cool and drier climate prevailed. The Younger Dryas climatic event had lowered the Black Sea water-level and cut again the connection with the Mediterranean Sea. Around 7.5 kyr BP, the Black Sea water level suddenly changed because of a quite abrupt flooding of the Black Sea by Mediterranean waters, as supposed by Ryan et al. (1997, 2003) supported with dinoflagellate cyst records (Popescu, 2004).

 

.

Table 1B.2. Stratigraphy and correlations of Upper Quaternary phases for the coastal and inner shelf zones (with slight modification from Fedorov, 1978).

General scale Europe ��European Russia Black Sea region  
General stratigraphic scale W and NW Black Sea Northern Black SeaCrimea, Kerch, Taman Eastern Black Sea Caucasus  
Holocene Flandrian Holocene Black Sea Horizon Nymphean Terrace at 2 m; sands with Cardium edule L. etc.���� Terrace at 2 m; Sands with Cardium edule L. etc.���� Terrace at 2 m; sands with Cardium edule L. etc.����  
Phanagorian Regression to ����� 6 ����� 8 m. Archeological layers V�·I c. BC Regression to ����� 6 ����� 8 m. Archeological layers V�·I c. BC Regression to ����� 6 - 8 m. Archeological layers V�·I c. BC  
New Black Sea Terrace at +4 +5 m; sands and shells with Cardium edule L., Chlamys, Ostrea, Mytilus�� Terrace at +4 +5 m; sands and shells with Cardium edule L., Chlamys, Ostrea, Mytilus�� Terrace at +4 +5 m; sands and shells with Cardium edule L., Chlamys, Ostrea, Mytilus��  
Old Black Sea Clayey sands with Cardium edule L. etc. at �����10 �����20�� m water depth on shelf Clayey sands with Cardium edule L. etc. at���� -10 -20 m water depth on shelf Clayey sands with Cardium edule L. etc. at���� -10 -20 m water depth on shelf  
Pleistocene Upper Grimaldian ����� Wűrm(regression to-100 -130 m) Ostashkovian Neoeuxinian Late���� Neoeuxinian Wűrmian loess ; clays with Monodacna caspia Eichw., Dreissea polymorpha Pall.,at �����20 �����30 m water depth on shelf Clays with Monodacna caspia Eichw., Dreissea polymorpha Pall., at �����20 �����30 m water depth on shelf Clays with Monodacna caspia Eichw., Dreissea polymorpha Pall., at �����20 �����30 m water depth on shelf  
Mologo-Sheksnian Early�� Neoeuxinian(Postkarangatian) Regression to �����60 ����� 80���� (-130) m.�� Wűrmian loess. Deepening of the valleys incisions Loesslike deposits; alluvial-deltaic sands, deepening of Kertch strait. Regression ; deepening of the valleys incisions to �����60 �����80 m.  
Kalininian  
Neotyrrhenian(terrace at�� 2-8 m above SL) Mykulinian Karangatian Upper Karangatian Terrace at +15 +16 mShells and sands with Cardium tuberculatum L., Paphia senescens (Coc.) etc. Terrace at�� +8 +12 m (4�·8 m Taman) Shells and clays with Cardium tuberculatum L., Paphia senescens (Coc.), Aporrhais pespelicani L. etc. At the base clays with�� Paphia senescens (Coc.), Cerithium vulgatum Burg. Terrace at +12 +15 m (Pshady valley), +25 +30 m (in Sochi region);Shells with Cardium tuberculatum L., Paphia senescens (Coc.), Aporrhais pespelicani L., Cerithium vulgatum Burg.etc.
Lower Karangatian
Middle Regression (Riss II ?)Deepening of Bosporus to - 100 m Moskovian UpperEuxinian-Uzunlarian Regression Regression.Clayey loess-like deposits. Clayey deposits with Limneea, Planorbis ; pebbles with Viviparus Regression. Alluvial pebbles, terminal moraine at Amtkheli.  
Eutyrrhenian (Tyrrhenian Ib)(terrace at 10-20 m) Odyntzovian Uzunlarian Terrace at +35 +40 m (Bulgaria)Upper Babel layers, sands with Didacna nalivkini Wass. etc., Uppermost lagoonal clays Clayey sands with Cardium edule L., Didacna nalivkini Wass. etc. Terrace at +25 +30 m (Pshady) and +35 +37m (Pshady valley); pebbles, sands with Cardium edule L., Mactra stultorum L., Scrobicularia  
Regression (Riss I ?) Dneprian Late Paleoeuxinian Sands and clays with Didacna�� nalivkini Wass., D.pontocaspia Pavl., Viviparus Terrace at 40�·43 m (Pshady valley); Sands, conglom., limstones with D.nalivkini Wass., D. subpiramidata Prav., at the base Balanus
LowerEuxinian-Uzunlarian Regression Regression Regression Regression, Dilluvium
Paleotyrrhenian (Tyrrhenian I-a)(terrace at 18-30 m) Lykhvinian Paleouzunlarian Sands, clays with Didacna pallasi Prav., D.nalivkini Wass.Lower Babel layers.Lagoonal clays with Didacna pseudocrassa Pavl. etc. Continental deposits within the Mandzhil terrace Terrace at +45 +50 m (at Ashe, Makopse, Magri); pebbles with C.edule, Paphia sp., Chione gallina
Early Paleoeuxinian Terrace at�� +60 +65 m (Dzhubgy); sands, pebbles with Didacna baericrassa Pavl., D.pallassi Prav., C.edule L.
Lower Mindel(Roman regression) Okan Regression Alluvial sands with Viviparus and Tyraspol complex of mammalians Top deposits with Archidiscodon sp. Regression  
Cromerian Sicilian 2Terrace�� at 60 m Dnestrian Tchaudian Upper Tchaudian Shells, sands with Didacna pseudocrassa Pavl., D. tschaudae Andrus., D.rudis Nal. ;Terrace �� Large tables �� (Bolshye stoly) Terrace +40 +55 m(at Pshady), +100 +105 m (at Pshady valley), ~+130 m (at Sochi) ; Congl.,sands with�� D.pseudocrassa,���������� D. Tschaudae, D.rudis  
Sicilian 1Terrace�� at 100 m Lower Tchaudian Clayey������ continental���� depositsSands with Didacna baericrassa, D.parvula, V.pseudoachatinoides, Fagotia esperi Sandy-clayey deposits of Guria with D. tschaudae, D. tschaudae guriana Livent., D.crassa guriensis Newesk., D. pleisto-pleura (Davit), D.pseudocrassa
Gurian �����Tchaudian
Gűnz (regression) Regression Sands and clays with Archidiscodon meridionalis Nest. (late) within Nogaysk outcrop Continental deposits with Taman complex of mammalian fauna Deposits with Gurian-Tschaudian fauna Break  
Eopleistocene Emilian-Calabrian Morozovian-Nogayskian Gurian Gurian deposits Clays with Didacna digressa Livent. etc.  
 

Table 1B.3. Stratigraphy and correlations of Upper Quaternary phases for shelf and bathyal zones (with slight modification from Scherbakov et al., 1979)

Northern Europe BLACK SEA    
Stratigraphic subdivisions Bathymetric zone 0-50 m Bathymetric zone 50-200 m Bathyal zone - northern part Bathyal zone - southern part  
Layers Molluscs Horizon Molluscs Diatomaea Horizon Diatoms, molluscs Horizon Nannopl,dinoflagelates Age  
Holocene Upper Subatlantic-���� 2,800Sub-boreal-���� 4,800Atlantic-���� 7,800Boreal-���� 9,400Pre-boreal-���� 10,200Younger DryasAller�¸dLower DryassB�¸llingGothiglacialPomeranianFrankfurtianBrandenburgian-���� 25,000PaudorfArcyGotweig-���� 40,000-���� ~ 65,000Eemian-���� ~125,000 Dzhemetinian Divaricella divaricataGafrarium minimum Pitar rudis������ Cardium papillosum Phaseolinus muds Modiolus phaseolinus Coscinodiscus radiatusThalassiosira excentricaActinocyclus ehrenbergiiCyclotella kutzingianaCyclotella aceolata Cocolith ooze Coscinodiscus radiatusEndictia oceanicaThalassiosira excentricaAsteromphalus robustusRhizosolenia calcar avis Cocolith oozeUnit 1 Emiliania huxleiLingulodinium sp.Peridinium sp.
Middle Kalamitian Chione gallinaSpisula subtruncataMytilus galloprovincialis Mytilus muds Mytilus galloprovincialisCardium edule Coscinodiscus radiatusThalassiosira excentricaAsteromphalus robustus Sapropel-likemuds Sapropel mudsUnit 2 Braarudosphera bigeloviPeridinoum trochoideum  
Bugazian-Viteazian Cardium eduleAbra ovataCorbula mediterraneaMytilaster lineatusMonodacna caspiaDreissena polymorpha 6,800 �� 140 Mytilus galloprovincialisCardium eduleMonodacna caspiaDreissena polymorpha Thalassiosira excentricaStephanodiscus astraeaSynedra buculusNavicula palpebralis var. semiplena Terrigenous-biogenic muds Terrigenous-biogenic mudsUnit 3 7,090�� 1808,600�� 20013,850��20016,900��27022,00025,00040,000
Lower Neoeuxin Monodacna caspiaDreissena polymorphaDreissena polymorphaViviparus fasciatusUnio sp. 8,550 �� 13013,500��1,50017,760 �� 200 Monodacna caspiaDreissena rostriformis bugensisDreissena rostriformis distinctaDreissena rostriformis distincta Stephanodiscus astraeaMelosira arenariaDiploneis domblitensis Hydrotroilitic mudsTerrigenousbrown �� oxydated ��muds Clayey muds Stephanodiscus astraeaFragments and young forms of :Dreissena rostriformisMonodacna caspia Nannofossil-rich terrigenous mudLacustrian phase Reworked Cretaceous. Paleogen, Neoge CocolithsTectatodinium spirifirites
Upper�� Pleistocene Wűrm�� (Valdai) Upper Ostashkovian glaciation
Karkinitian Dreissena polymorphaCardium edule Dreissena rostriformis distincta Micromelania caspia
Tarkhankutian Cardium eduleAbra ovataDreissena polymorpha ~ 22,000~ 25,000 Abbreviations :M-S.ig. = Mologo-Sheksnian interglacial K.g.���������� = Kalininian�� glacial Cardium edule Marine phase
Middle M-S.ig. Surozhian
Lower K.g Regression
Post-Karangatian
Riss-Wűrm Mikulinian interglacial Karangatian
 
 

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CHAPTER 2 THE STATE OF EUTROPHICATION (T. Oguz et al.)

T. Oguz

Institute of Marine Sciences, Middle East Technical University, Erdemli, Turkey

V. Velikova

Inebolu Sokak 29, Kabatas, Istanbul, Turkey

A. Cociasu

National Institute for Marine Research and Development (NIMRD), Constanta, Romania

A. Korchenko

GOIN, Moscow, Russian Federation

2.1. Introduction

Marine eutrophication of coastal waters is considered to be a significant problem worldwide. The Black Sea is no exception, where considerable increase in the nutrient load has led to marked changes in the ecosystem structure and functioning. Eutrophication is defined here as excessive supply of nutrients (silicate, nitrogen and phosphorus) into water that subsequently leads to accelerated growth and over-production of algae and species of higher trophic levels, high rate of oxygen depletion, development of hypoxia or anoxia near the bottom of productive areas and subsequent degradation of benthic community structure. A key to successful management of coastal waters is reliable scientific assessment of eutrophication and of its governing processes. This chapter evaluates the current state and the long-term trend of eutrophication in the Black Sea using the available data for river nutrient (both organic and inorganic) loads, dissolved inorganic and organic nutrient, chlorophyll-a, surface and subsurface oxygen concentrations along the coast with respect to the reference conditions of the interior basin. The coastal stations are chosen from the sites that either receive river loads (like Sulina station) or are in close proximity of industrial complexes (like Constanta) or urban settlements (like Bay of Bourgas). Unless otherwise specified, the data described below are from the data-base of the Commission on the Protection of the Black Sea Against Pollution.

2.2. Long-term changes in river nutrient loads

The excessive nutrient enrichment was originated predominantly by enhanced river-based nutrient supply into the northwestern shelf starting by the early 1970s. The River Danube was used to be the major supplier of nutrients during the 1970s and 1980s that amounted to almost 80% of the total load into the sea. They were derived by agriculture, industry and urban settlements and supplied mainly through diffuse sources (Table 2.2.1). Based on more recent measurements at the discharge point of the Sulina branch, the River Danube contribution was reduced to nearly 50% of the overall river-based DIN and P-PO4 loads (Table 2.2.2). The remaining half was contributed almost equally by the Ukrainian rivers along the northwestern coast (Dniepr, Dniester, Bug) and the Turkish Rivers along the southern coast (Table 2.2.2).

Table 2.2.1. The sources and causes of nutrient enrichment in the western coastal waters of the Black Sea.

Drivers of nutrient enrichment Causes of nutrient enrichment
Agriculture/farming Lack of fertiliser storage facilitiesUnsustainable/inefficient farming practicesIntensive livestock productionIntensive fertiliser utilization and detergentsLack of proper effluent treatments of discharges from livestock and agricultural farms Point and diffuse sources from agriculture/farming, industry and settlements Deposition from atmospheric emissions originated from land-based sourcesBackground emissions
Industry Untreated or improperly treated industrial effluents due to outdated or absence of treatment technology�� Insufficient treatment plants and their poor managementLack of control for waste water treatment plants

Table 2.2.2 Annual-mean river-borne nutrient loads (in kilotonnes y-1) into the Black Sea from each country during 2003-2005 (from TDA, 2007). The superscripts (a) and (b) denote the estimates based on the TNMN measurements at Reni and the NMRD measurements at Sulina discharge point, respectively.

Nutrient Load Ukraine Romania Bulgaria Turkey Georgia Russia Total
DIN 29.85 304.10(a)���� 68.86(b) 2.35 24.87 0.54 0.84 362.55(a)127.31(b)
P-PO4 2.30 8.80(a)8.52(b) 0.24 6.13 0.02 0.32 17.81(a)17.53(b)

The total nitrogen emission from the River Danube catchments increased from about 400 kilotonnes (kt) y-1 in the 1950s to 900 kt y-1 in 1985-1990 and then reduced to 760 kt y-1 in 2000-2005 (Fig. 2.2.1a). Phosphorus emission was an order of magnitude smaller and changed from 40 kt y-1 in 1950s to its peak value of 115 kt y-1 during�� the first half of the 1990s and then to 70 kt y-1 in 2000-2005 (Fig. 2.2.1b). Both emissions are thus still roughly 1.5 times higher than the 1950s. The construction of Iron Gate 1 in 1975 was estimated to impose a minor influence on the total-N load but was more critical on controlling the total-P load (daNUbs Project Final Report, 2005). The nitrogen�����based agricultural run-off contributed around half of the total nitrogen emission since 1955 and contribution from urban settlements was around 20-30% (Fig. 2.2.1a). The increase in nitrogen emission is evidently well-correlated with fertilizer consumption prior to 1990 that increased from 0.5 million tonnes (mt) y-1 in the 1950s to 3.0 mt y-1 during the green revolution era in the eastern block countries during the 1980s (Fig. 2.2.1). According to this data set, phosphorus emission was mainly supplied by urban settlements up to 80% in 1990; the contribution of agriculture remained less than 20% (Fig. 2.2.1b). The effect of increase in phosphorus fertilizer consumption to 1.5 mt y-1 did not appear to increase agricultural-based phosphorus emission.

SOE 2009 imageSOE 2009 image

Fig. 2.2.1 Relative contributions of different point and diffuse sources to the emissions of (a) total nitrogen (N) and (b) total phosphorus averaged over 5 year bins and amounts of total nitrogen and phosphorus fertilizer consumption in the Danube catchments basin (solid circles). Redrawn from daNUbs Project Final Report (2005).

Following the collapse of their centrally-planned economy and economic recession, nitrogen and phosphorus fertilizer consumptions reduced to 1.5 mt y-1 and 0.5 mt y-1, respectively, during 1990-1991. Fig. 2.2.1 however suggests surprisingly minor change in agricultural nitrogen emission and no change in agricultural phosphorus emission. The phosphorus emission was reduced more predominantly by the improvement of regional environmental management, the introduction of phosphorus-free detergents, the improved nutrient removals at treatment plants (daNUbs Project Final Report, 2005).

SOE 2009 imageSOE 2009 image

Fig. 2.2.2 Annual DIN and P-PO4 loads measured at Sulina discharge point of the River Danube to the sea and at Reni located at the upstream end of the Sulina branch.

The lack of major reduction in nitrogen emissions from the Danube catchments basin is reflected in relatively high DIN load into the sea. At Reni (located at the upstream end of the Sulina branch), it fluctuated within the range of 300-500 kt y-1 since the early 1990s (Fig. 2.2.2a) in consistent with the N-emission data (Fig. 2.2.1a). Such relatively high DIN load was explained by continuing emissions from large nitrogen stocks deposited in soils and groundwater in the catchments areas (daNUbs Project Final Report, 2005). On the basis of Reni data, a factor of three reductions is necessary to accomplish its pristine level prior to 1960 (~150 kt y-1). According to the NIMRD (National Institute of Marine Research and Development, Romania) measurements at the discharge point of Sulina branch of the River Danube, the DIN flux entering the sea tended to decrease gradually during the 1990s to ~100 kt y-1 at 2000 and increased afterwards to 250 kt y-1 in 2005 that was twice higher than its pristine level. It is hard to justify the considerable difference between two ends of the Sulina branch (~40 km), but the concomitant reduction in the interior basin subsurface nitrate peak (section 2.3) supports the Sulina data. On the other hand, both measurements reveal similar P-PO4 load between 10 and 20 kiloton yr-1 after the mid-1990s (Fig. 2.2.2b).

No systematic data sets are available to assess the current state of organic nutrient loading from the northwestern rivers. But, the BOD5 data may be used to deduce indirectly their DON loads. As inferred from Fig. 2.2.3, the total BOD5 data from the Rivers Danube and Dniester, Dniepr and Bug display a gradual decreasing trend from the peak values close to 1000 kt y-1 during 1997-1999 to ~500 kt y-1 after 2000, which implies approximately 50% reduction. The Danube contribution to the total BOD load amounts to 80%. Assuming the DON (dissolve organic nitrogen)/ BOD5 ratio ~0.3 (San Diego-Mcglone et al., 2000), the DON load into the northwestern Black Sea is estimated as 150 kt yr-1 in the present decade. The Danube contribution turns out to be approximately 130 kt yr-1, which roughly corresponds to one-third of the Reni DIN load. This is a rather conservative estimate and represents an average condition over the NWS. It may in fact be locally much higher.

��SOE 2009 image

Fig. 2.2.3. BOD5 load from the Danube River and other rivers (Dniester, Dniepr and Bug) discharging into the northwestern shelf during 1995-2005.

2.3. Long-term changes in nutrient concentrations

SOE 2009 imageSOE 2009 imageSOE 2009 image

Fig. 2.3.1. Spatial distribution of surface temperature, salinity and nitrate concentration (��M) in Romanian coastal and offshore waters during September 2002 (Horstmann and Davidov, 2002).

Nutrients along the western coast acquire maximum concentrations in the Danube delta region that is characterized by relatively colder and less saline water mass and separated from offshore waters through a sharp frontal zone (Fig. 2.3.1). A predominant feature of the delta region is high rates of sediment deposition and resuspension mechanisms and rapidly changing physical conditions (in daily-to-weekly time scales) that introduce great deal of patchiness in nutrient concentrations. Almost 30-50% of nutrients supplied by the Danube is estimated to deposit near its mouth (Velikova and Cociasu, 2004) and thus does not contribute directly to the local biological production. At longer time scale (i.e. ~the last 50 years), sediment cores suggested 20% of total riverine nitrogen input accumulated in sediments of the western coastal waters, whereas denitrification eliminated 55% of the input (Teodoru et al., 2007).�� When the Danube plume extends southward, as shown in Fig. 2.3.1, low salinity and high nutrient water mass looses its character immediately to the south of the delta region and N-NO3 concentration generally decreases by more than 50% (Fig.2.3.1).

Changes in nitrogen concentration: ��Consistent with the DIN load data shown in Fig. 2.2.2a, the annual-mean DIN concentration at Sulina discharge point shows a gradual reduction from ~300 μM at 1990 to ~40 μM at 2000 and then exhibits a slight rise to ~70 μM at 2005 (Fig. 2.3.2). Albeit its large drop, recent values of DIN are still too high. The contribution of N-NH4 to DIN remained negligibly small during the 1990s, but was around 10% after 2000. On the contrary, the annual-mean DIN concentration persistently varied around 150 μM at Reni during 1997-2005 (Fig. 2.3.2).

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Fig. 2.3.2 Annual DIN concentration measured at Sulina discharge point of the River Danube to the sea and at Reni located at the upstream end of the Sulina branch.

As inferred by the amalgamated annual-mean surface NO3 data (Fig. 2.3.3), following an increase in the first half of the 1990s, N-NO3 concentration decreased during the second half and then started rising in the present decade. Its mean values for the previous and present decades are approximately 5 μM and 7 μM, respectively. A notably similar long-term DIN structure also took place to the north of the Danube delta. Along the western coastal waters of Ukraine, DIN concentration increased from 1 μM in the 1960s to 9 μM in the 1980s and stabilized thereafter around 7.5 μM (Fig. 2.3.4) that was similar to that in the Romanian shelf. Although the eastern coastal waters of Ukraine had relatively better conditions with lower concentrations (~4 μM in the present decade) an increasing tendency over the last two decades is evident (Fig. 2.3.4).��

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Fig. 2.3.3. Amalgamated annual-mean surface N-NO3 and P-PO4 concentration changes in Romanian waters (re-drawn from Parr et al., 2007).

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Fig. 2.3.4. Decadal variability of surface dissolved inorganic nitrogen (DIN) concentration along the western and eastern coastal waters of the NWS based on the averaging of availale data from several stations at 5-year bins (after Loveya et al., 2006).

Surface nutrient concentrations measured monthly at the coastal sampling station near Constanta constitute the most comprehensive long-term data set to monitor their multi-decadal changes along the western coastal waters. Following a major reduction during the second half of the 1970s, N-NO3 and N-NH4 concentrations fluctuated within 5-10 μM during the 1980s and 1990s except a rising trend in 2004-2005 (Fig. 2.3.5). The decadal-mean N-NO3 concentration reduced from 6.90 μM in the 1980s to 5.90 μM in the 1990s and then elevated to ~8 μM during 2000-2005 (Table 2.3.1). N-NH4 concentration experienced an opposite trend and increased roughly 2.0 μM from the 1980s to the 1990s and then reduced by 1.0 μM during the present decade (Table 2.3.1). N-NO2 concentration always remained around 1 μM and constituted only 6% of the total DIN. In general, the DIN possessed a slight rising trend from 12 μM in the 1980s to 13 μM in the 1990s and 14 μM in the 2000s (Table 2.3.1). This trend is consistent with the Sulina data (Fig. 2.2.2a) although the values are four-fold lower.

 

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Fig. 2.3.5. Annual-mean surface concentrations of N-NO3 (green) and N-NH4 (blue) at Constanta station (A. Cociasu, per. com).

Table 2.3.1. Multi-annual mean surface nutrient concentrations (μM) in Constanta (after Velikova and Cociasu, 2004)

Period 1959-65 1983-90 1991-00 2001-05
N-NO3 1.60 6.90 5.90 7.98
N-NH4 - 5.11 7.06 6.12
P-PO4 0.26 6.54 1.86 0.49
SiO4 40.5 11.0 12.6 13.7

According to the monthly surface NO3 and N-NH4 concentration variations at Constanta during 2000-2006 (Fig. 2.3.5), the period 2000-2004 was characterized by a major N-NO3 peak during April or April-May that coincides with the highest discharge period of the Danube. N-NO3 concentration then decreased linearly up to September and then started increasing linearly up to next April. As an exception, a second and stronger peak appeared during the 2003 severe winter (January-February). This annual structure changed appreciably during 2005-2006 in terms of an extended spring peak to July and reduction in N-NO3 concentration by September up to a minimum in November; thus the minimum N-NO3 concentration phase shifted from August to November.�� Moreover, NO3 concentrations from 2000 to 2006 indicated approximately 5 μM linear trend of increase. NH4 concentration attained higher values predominantly in summer months.

Considerable interannual and local variabilities are also noted along the northwestern coastal waters (Fig. 2.3.7). N-NO3 and N-NH4 concentrations were exceptionally high (60-90 μM) near the waste water treatment plant sites Pivnichi and Pivdenna during 2003-2006 contrary to their much lower values during 2000-2002.�� N-NO3 concentrations in the Odessa, Uzhnyi, and Ilichevsk ports were typically around 10-20 μM.

Measurements along the Romanian and Bulgarian coastal waters to the south of the Danube delta revealed comparable N-NO3 and N-NH4 concentrations with the Ukrainian coastal waters. N-NO3 concentrations at Mamaia beach and two adjacent offshore stations along 5m and 20 m isobaths indicate uniformity of the Danube plume within 20 m isobath zone (Fig.2.3.8a).�� The features such as the April-May N-NO3 peak within 10-20 μM range and relatively high spring concentrations during 2002 and 2005 resemble those observed at Constanta station (Fig.2.3.6).

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Fig. 2.3.6. Monthly changes of surface NO3 (squares) and NH4 (dots) concentrations and the trend of NO3 concentration at Constanta monitoring station during 2000-2006.

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Fig. 2.3.7. Annual-mean N-NO3 (left) and N-NH4 (right) concentrations (μM) at various sites along northwestern Ukrainian waters during 2000-2006 (After PMA AG and AC Activities and Reporting, 2007).

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Fig. 2.3.8a. Monthly changes of surface NO3 concentration at the Mamia beach and 5 m and 20 m isobaths further offshore during 2000-2005.

Further south along the southern Bulgarian coast, N-NO3 and N-NH4 at stations near Ahtopol and Bourgas Bay reveal concentrations as high as 20 μM in summer months that are comparable with their winter values (Fig. 2.3.8b,c). Their annual structure was therefore somewhat different than Constanta station, and likely signifies contribution from local sources in addition to the Danube upstream influence.

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Fig.2.3.8b,c. Monthly changes of surface NO3 and NH4 concentrations at Ahtopol and Burgaz monitoring stations during 2000-2005.

More dense and regular measurements in the Bosporus exit section during 1996-2003 possessed an order of magnitude lower N-NO3 concentration (Fig. 2.3.8d). More importantly, they revealed a typical open-sea type annual structure with an N-NO3 peak during winter due to enhanced vertical mixing, and N-NO3 depletion in summer due to its uptake in phytoplankton production. An additional spring (April-May) peak exists during high Danube discharge years, reflecting efficiency of southward coastal transport. Opposite to the Bourgas Bay and Ahtopol, in the Bosporus section the summer N-NO3 concentration was low due to its intense uptake in phytoplankton production.��

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Fig.2.2.8d.�� Monthly surface NO3 concentration (blue) and total nitrogen (organic + inorganic) ��concentration (green) (μM) at the Bosphorus northern entrance during 1996-2003 (redrawn after Okus, 2005).

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Figure 2.2.9. Decadal variability of surface dissolved organic nitrogen (DON) concentration along the western and eastern coastal waters of the NWS based on the averaging of availale data from several stations at 5-year bins.

As inferred from the BOD5 data (Fig. 2.1.3), the western Black Sea coastal waters seem to continue receiving considerable anthropogenic-based organic nitrogen. An estimate of 130 kt y-1 DON load inferred earlier from the Danube BOD5 data implies ~30 μM DON concentration supplied by the River Danube during the present decade that is comparable to ~40 μM in the northwestern coastal waters (Fig. 2.2.9) due to continuous supply of high DON load from Dniepr, Dniestr and Bug Rivers as evident by a steady increase of its concentration since the 1970s. Similarly, the annual- and regional-average dissolved organic nitrogen concentration of ~10 μM was observed along the Bulgarian coastal waters during 2001-2003 (Table 2.2.2).�� In addition, more than 10 μM difference between total nitrogen and N-NO3 concentrations in the Bosporus exit station during the peak Danube discharge period (March-May) throughout 1996-2001 (Fig. 2.2.8d) provides a further support for organic nitrogen enrichment all along the western coastal waters.

Table 2.3.2. Annual and regional-mean concentrations of phosphorus and nitrogen species in Bulgarian coastal waters during 2001-2003. TP, TN and ON refer to total phosphorus, total nitrogen and organic nitrogen, respectively. All values are expressed in μM (after Velikova and Cociasu, 2004).

Years���� P-PO4 TP ON TN
2001 0.27 0.45 10.29 12.40
2002 0.18 0.44 5.46 8.35
2003 0.23 0.42 10.98 14.87

On the basis of available data for 2000-2005, Fig. 2.3.10 summarizes the current status of the nitrogen enrichment along the periphery of the basin using different color codes for different ranges of annual-mean N-NO3 concentration. According to this classification, the threshold for the highest N-NO3 concentration in western coastal waters were set to 2.8 ��M that in reality was far more higher and easily exceeded 10 ��M as documented above. The entire southern coast is identified by the second highest N-NO3 concentration that covers the range between 1.4 ��M and 2.8 ��M. A small number of sites offshore of the Turkish/Georgian border show high levels of enrichment, which are likely to be the result of local discharges from mining industry. Northeastern and Crimean coastal waters are less eutrophic and characterized by N-NO3 concentration less than 1.4 ��M. It is however important to note that, for southern and northeastern coastal waters, this classification scheme was based on rather limited measurements, such as twice a year (April and October) sampling during only 2004 and 2005 along the southern coast. Fig. 2.3.10 therefore should be interpreted with some caution. More frequent sampling strategy is highly desirable for more reliable coverage of the annual range of variations.

The surface productive zone of the interior basin has been nitrate limited even during the intense eutrophication phase (Oguz, 2005), and therefore the change of peak N-NO3 concentration in the nitracline layer (see Chapter 1) is an important indicator for monitoring basin-scale response of eutrophication. The change in subsurface nitrate maximum concentration (Fig. 2.3.11) from ~2-3 ��M during the pristine state to 7-9 during the intense eutrophication period (i.e. the 1980s) confirms devastating effect of eutrophication for the entire sea that persisted up to 1992. Afterwards, the interior basin responded to the decline in the anthropogenic DIN load by reducing the peak subsurface nitrate concentration below 6 ��M after the 1990s. The present value of this peak varies around 4.0-5.0 ��M and thus implies a gradual shift of the system towards low nutrient conditions. As the nitrogen (both organic and inorganic) load supplied by the northwestern rivers was decreasing according to the Sulina measurements, primary production in the interior basin at present appears to consume nutrients which have already accumulated within during the intense eutrophication phase.��

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Figure 2.3.10. Ranges of mean nitrate (NO3-N) concentrations during 2000-2005 in surface waters (0-10 m) along the coast of the Black Sea (modified from TDA Report, 2007).

Changes in phosphorus concentration: P-PO4 concentration in the Sulina discharge point experienced an abrupt reduction from 7.5 μM at 1990 to 2.5 μM at 1993. It fluctuated afterwards between 2 μM and 3 μM, whereas it was changing between 1.0 and 2.0 μM at Reni (Fig. 2.2.12).

Along the northwestern coastal waters, it increased to around 3 ��M in the mid-1970s and retained this level for a decade (Fig. 2.3.13a) reflecting upstream influence of the Danube in addition to local contributions from hot spots and discharges from Dniepr, Dniestr and Bug Rivers. This level was maintained until 2005 even though it locally acquired order of magnitude higher values during 2004-2005 (Fig. 2.3.13b). Long-term P-PO4 data at Constanta monitoring station (Fig. 2.3.14) indicate two major peaks (~10-12) ��M at 1975 and 1987 and minima (~2 ��M) at 1981 and 1992 following its background values of <1 ��M during the 1960s (the mean value = 0.26 ��M). The decadal-mean P-PO4 concentration was highest (~6.0 μM) during the 1980s and decreased to values less than 1.0 ��M during 1990-1992 with a mean value of 0.49 ��M for 1993-2005 (Table 2.3.1). The Constanta data is however biased due to the strong impact of the land-based source from the Navodari Factory and thus may not be representative for all the Romanian coastal waters. Further reduction to the mean value of ~0.2 ��M is noted along the Bulgarian coast (Table 2.3.2) and northeastern coastal waters (Fig. 2.3.15).

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Fig. 2.3.11. Temporal variations of the subsurface peak nitrate concentration within the interior basin computed by averaging of all available data (after Konovalov and Murray, 2001, modified with the recent data by T. Oguz).

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Fig. 2.3.12. Annual-mean P-PO4 concent-ration measured at Sulina discharge point of the River Danube to the sea and at Reni located at the upstream end of the Sulina branch.

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Fig. 2.3.13a. Decadal variability of surface phosphate (P-PO4) concentration along the western and eastern coastal waters of the NWS based on the averaging of available data from several stations (redrawn from Loveya et al., 2006).

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Fig. 2.3.13b. Annual-mean P-PO4 concentration (μM) at various sites of northwestern Ukrainian coastal waters during 2000-2006 (After PMA AG and AC Activities and Reporting, 2007).

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Fig. 2.3.14. Annual-mean surface concentrations of PO4 (right hand side axis) and SiO4 (left hand side axis) at Constanta station.

According to the colour-coded classification scheme (Fig. 2.3.16), the western coastal waters are classified as highest phosphate levels (>0.39 ��M). A comparable level of elevated phosphate concentrations was assigned in Fig.2.3.16 for the Russian coast along the opposite side of the sea, but it disagrees with lower values shown in Fig. 2.3.15. The Turkish coast is characterized by relatively low P-PO4 concentration albeit isolated sites of higher contamination exist presumably due to local industrial discharges.

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Fig. 2.3.15. Surface concentrations of P-PO4 in near-shore waters of the Gelendzhik area during 2003-2004 (redrawn from Kucheruk, 2005).

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Fig. 2.3.16. Ranges of mean concentrations of phosphate (P-PO4) during 2000-2005 in surface waters (0-10m) along the coast of the Black Sea (After TDA Report, 2007).

The annual-mean surface silicate concentration (SiO4) measured at Constanta monitoring station prior to 1970s was quite high with an average value of 40 μM and reached at 65 μM at 1975 (Fig. 2.3.14). Following the construction of Iron Gate I during the early-1970s, it started reducing to around 10-20 μM within the second half of 1970s due to the retention mechanism in the upper reaches of the River Danube. The declining trend since the 1980s was disrupted by an abrupt increase from 10 μM in 1996 to 22 μM in 1998 and then declining trend continued up to 11.0 μM in 2004 except a minor increase to 13.7 μM in 2005.

Changes in nutrient ratios: Owing to relatively high DIN emissions, the River Danube has always been a phosphorus limited system and supplied DIN at much higher rate with respect to P-PO4. The P-limitation is evident at the Sulina discharge point where N/P ratio remained above its Redfield ratio even though both N-NO3 and P-PO4 concentrations tended to decrease since 1990 and P-limitation becomes weaker than the previous decades (Fig. 2.3.17a). The increasing trend during 1990-1993 reflects much faster decline of P-PO4 concentration (Fig. 2.3.12), whereas the gradual decline during 1993-1999 and increase afterwards are largely controlled by the variations of N-NO3 concentration (Fig. 2.3.2) as P-PO4 concentrations remained rather steady after 1993. The data at Constanta monitoring station also support the P-limitation at an increasing rate after 1997 as compared to the N-limitation before (Fig. 2.3.18a). On the contrary, the amalgamated data (Fig. 2.3.17a) indicate preferentially N-limitation for the Romanian shelf waters. The data shown in Table 2.3.3 also support N-limitation for the 1980s and 1990s but not for the 2000-2003 period for which the N/P ratio value of 32 contradicts with a value of ~12 suggested by the amalgamated data. The difference seems to arise due to the bias of the data given in Table 2.2.3 by the Constanta N/P data (Fig. 2.3.18a) that showed P-limitation after 1999.

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����������

Fig. 2.3.17. Long-term changes of nutrient concentration ratios at (a) Sulina discharge point, Romanian shelf and Bosphorus exit region, and (b) Ukranian coastal waters.

The N-limitation also applies for both the northwestern and northeastern Ukrainian coastal waters (Fig. 2.3.17b and Table 2.3.3) as well as the Bosporus exit section (Fig. 2.3.17a), except for 2003 that was based on an average of only two measurements; one below the Redfield ratio and the other above and therefore the 2003 value of N/P ratio is not statistically significant. It is hard to identify precisely the type of nutrient limitation for Bulgarian waters because of the absence of systematic and sufficiently long time series for all major nutrients. On the basis of available data summarized in Table 2.3.3, Bulgarian coastal waters appear to be P-limited during winter months due to their excessive nitrogen enrichment (Fig. 2.3.8b,c, 2.3.18b), while they attained either N-limitation or Redfield value the rest of the year (Fig. 2.3.18b). Bulgarian waters therefore switch seasonally between P- and N-limitation (Velikova and Cociasu, 2004). The seasonal alternation does not show a regular seasonal pattern, but varies interannually. On the basis of all these evidences, it appears that inner shelf along the western coast is currently P-limited (Fig. 2.3.18a) whereas the outer shelf is either weakly N- or P-limited (Fig. 2.3.17), and the interior basin is predominantly N-limited (Fig. 2.3.19a).

The long-term variation of Si/N ratio at Constanta (Fig. 2.3.18a) since 1980 falls into three phases. The first phase (1980-1988) was characterized by the monthly Si/N values varying between 0.5-1.5.�� In the second phase (1989-1997), Si/N values reduced to the range 0.4-1.2. The third phase (1998-2005) resembled the first phase with the values changing between 0.6 and 2.0.�� In general, Si/N ratio remained below 2.0 and favored Si limitation in the Constanta region. Because of the lack of comprehensive data coverage, it is not clear how well the Si limitation applies to other regions along the western coast. Because the deep interior basin is more severely limited by nitrogen,�� Si/N values are much higher than its threshold for Si limitation (Fig. 2.3.19b).

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Fig. 2.3.18. Long-term changes of nutrient concentration ratios at (a) Constanta monitoring station, and (b) monthly changes in Bulgarian coastal waters during 2001-2003.

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Fig. 2.3.19. Vertical profiles of N/P and Si/N ratios at different locations of the interior basin during different months and years.

Atmospheric input of nutrients: In addition to nutrient inputs from rivers, coastal sources and sediments, atmospheric wet and dry depositions may likely constitute an important component of the long-term nutrient enrichment of the Black Sea that however remains to be poorly studied. According to the State of Environment Report (2000), the atmospheric nutrient input onto the Black Sea surface was about 400 kt y-1, and therefore higher than the present level of riverine supply.

Within the framework of BSERP/GEF monitoring program, atmospheric precipitation was sampled at a remote site Katsively near Sevastopol-Crimea during 2004-2005 (Chaykina et al., 2005). They measured the total DIN wet deposition as 550 mg m-2 during March-December 2004 and 910 mg m-2 during 2005 that amounts to atmospheric fluxes of 240 kt y-1 and ��400 kt y-1, respectively, if extrapolated over the surface area of the Black Sea. Similar measurement at Zmeiny Island at 40 km offshore from Odessa during 2003-2007 indicated approximately 240 ktons y-1 nitrogen and 16 ktons y-1 of phosphorus fluxes from the atmosphere (Medinets and Medinets, 2008). Atmospheric deposition of nutrients is therefore comparable to the current loads from the River Danube and therefore appears to constitute an important element of the overall nitrogen budget of the sea.

 

Table 2.3.3. Multi-annual mean nutrient ratios in Romanian surface coastal waters, the Bay of Varna and Bulgarian coastal waters (BW) as an average of all measurements within the 50 km zone (after Velikova and Cociasu, 2004)

 

  Romania Bulgaria Ukraine
Period 1960-1970 1980-1991 1992-1999 2001-2005 2001-03 2000-05
BW Varna Bay NWcoast NECoast
Si / P 142.9 2.6 11.2 30.6 34.4 88.4 - -
Si / N - 0.9 0.9 1.2 9.0 7.0 - -
N / P - 3.1 10.2 32.0 55.2 31.0 10.7 15.7

2.4. Surface chlorophyll concentration

Few long-term data exist on in situ chlorophyll-a measurements in the Black Sea and therefore remote sensing ocean color data are used to infer its seasonal-to-interannual variations, even though chlorophyll signal is likely deteriorated by rich particulate material and dissolved organic substance along the western coastal waters. The average chlorophyll concentrations are computed from 9 km gridded, 8-daily SeaWiFS products for the northwestern (Ukrainian) coastal waters (the region 1), the Romanian and Bulgarian coastal waters (the regions 2 and 3), the Bosporus-Black Sea junction region (the region 4), and the western interior basin (the region 5) (Fig. 2.4.1). The Danube delta region between the regions 1 and 2 is not included into the analysis because of its unrealistically high chlorophyll concentrations (≥ 20 mg m-3), most of which possibly reflect contributions from yellow substance and particulate matter discharged by the Danube.�� The analysis of the data is depicted in Fig. 2.4.2.

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Fig. 2.4.1. The regions of the western basin used for the analysis of SeaWiFS chlorophyll concentration variations.

An immediate feature noted in Fig. 2.4.2 is approximately four-fold decrease in chlorophyll concentration from the northwestern shelf (region 1) to the Bosporus-Black Sea junction zone (region 4). In the region 1, highest concentrations extend from early spring to late autumn in the range of 6-8 mg m-3. Lowest concentrations are observed in winter months and often exceed those in further south. The region 2 possesses three peaks; the first one comprises the late winter-early spring (February-March) and arises due to typical spring bloom dynamics. This is the weakest peak (~3 mg m-3). It is followed by a stronger late-spring peak (in May-June with ~5��1 mg m-3) that evidently coincides with the period of high Danube discharge. For some years (i.e. 2006), these two peaks are combined to form one extended peak. The third one occurs in autumn (~4��1 mg ��m-3) and is often separated from the former one by a period of relatively low summer concentrations of ~2 mg m-3. The measurements in Constanta monitoring station during 2001-2005 (Fig. 2.4.3) generally support these features with some differences such as a strong early autumn (September) bloom in 2002, a late winter (February-March) bloom in 2003, and a late autumn bloom (November) in 2004. The Bulgarian and the Bosporus regions also possess three-peaks between 2 mg m-3 and 4 mg m-3 with considerable year-to-year changes whereas the lowest concentrations in summer months are about 0.5 mg m-3.

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Fig. 2.4.2. Average surface chlorophyll concentration for five regions of the western Black Sea basin obtained from 8-daily 9 km resolution SeaWiFS ocean colour products after the original data is smoothed by 5 point moving average. The axis on the right hand side applies for the region 1, and the axis on the left hand side for all other regions.

The long-term monthly measurements at the Bosporus exit section during 1996-2001 (Fig. 2.4.4) generally support the ocean colour data both in terms of timing and magnitude. The most pronounced features are the late winter and autumn peaks that are connected with low summer chlorophyll concentrations. The measurements in Bourgas Bay during 1987-1997 (Fig. 2.4.4) that comprises the period before the availability of satellite ocean color data suggest somewhat different seasonal chlorophyll concentration structure; the late winter-spring peak emerges the most dominant feature at either moderate (~4-5 mg m-3 ) or high (>8 mg m-3) concentrations and is followed by a secondary peak during summer months. No appreciable chlorophyll peak however existed during autumn months.�� This annual structure persisted during 1987-1995 period, after which the annual structure seems to shift to the structure described for the region 4 with higher intensity of autumn concentrations.

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Fig. 2.4.3. Monthly surface chlorophyll concentration variations (mg m-3) at Constanta station during 2001-2005.

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Fig. 2.4.4. Monthly surface chlorophyll concentration during 1987-2001 measured in the Burgaz Bay (red dots) and the Bosphorus northern exit (green squares), and the SeaWiFS ocean color data for the region 4 (bold lines). The dashed line shows decreasing trend of peak Chl concentration since the 1980s. The field data are provided by Hibaum (2005); Moncheva (2005) and Okus (2005) and satellite data by daily-8, 9 km resolution SeaWiFS ocean colour product.

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Fig. 2.4.5. Surface chlorophyll-a concentration measured along the Crimean topographic slope zone (dots; after Churiliova et al., 2005), near the Cape Sinop at the central part of the southern coast (triangles; after Feyzioglu, 2006; Bat et al., 2007), and Surmene Bay near the southeastern corner of the sea (squares; after Feyzioglu, 2006).

On the other hand, measurements at two coastal stations along the southern coast and along the topographic slope zone to the south of Crimea (Fig. 2.4.5) show peak concentrations in the range of 1.0-2.0 mg m-3 during February-March and November-December that are comparable to minimum concentrations measured at Bourgas and Bosporus stations. The lowest concentrations which are generally observed during the summer were typically less than 0.5 mg m-3.

The surface chlorophyll concentration variations within the central part of the western basin (region 5) vary within 0.5 - 2.0 mg m-3 (Fig. 2.4.2). The most notable feature that repeats almost every year is a linear decreasing trend from a peak in November (1.5 - 2.0 mg m-3) to a minimum (~0.5 mg m-3) in July followed by a sharp increase from August to November again. This annual structure differs from the western coastal waters (the regions 1-to-4) by the absence of additional spring peak due to the Danube nutrient supply. The only exception is the anomalously high concentrations in summer 2001 as also supported by direct measurements (Oguz and Ediger, 2007).

The long-term data using all available direct measurements within the interior basin (> 1500 m) for the summer-autumn period (May-November) reveal surface chlorophyll values less than 0.6 mg m-3 during 1978-1987 followed by the phase of high concentrations up to about 2.0 mg m-3 during 1989-1992 during the anchovy collapse and Mnemiopsis population outburst period (i.e. the changes in top-down control) (Fig. 2.4.6). There is no sufficient data coverage to assess chlorophyll variations during the mid-1990s even though values up to 1.0 mg m-3 were measured during 1998-1999. The SeaWiFS summer (May-September) data for more recent period (averaged over the rectangular region defined by 31-41oE and 41.5-44oN) reveal two distinct phases: high summer chlorophyll concentrations (~1.4 mg m-3) during 1998-2001 and the subsequent moderate chlorophyll concentrations (~0.8 mg m-3) afterwards.����

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Fig. 2.4.6. Long-term changes of surface chl-a concentrations in the interior Black Sea (depth >1500m) for May-November period, 1978-1999. Each data point represents a single measurement taken from Yunev et al. (2002) (blue symbols) and Churilova et al (2004) (red symbols). This data set is complemented by the monthly-average 9 km gridded May to September-mean SeaWiFS data for the interior basin defined by 31-41oE longitudes and 41.5-44oN latitutes (green symbols).

The annual-mean chlorophyll concentrations deduced from the satellite ocean color data do not indicate appreciable interannual variability for the regions 3, 4 and 5 (Fig. 2.4.7), but attained relatively low values during 2003 in regions 1 and 2 due possibly to the anomalous cold winter (Chapter 1). The decrease in annual-mean concentrations from north-to-south and from 1998 to 2007 is also noted in Fig. 2.4.7.

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Fig. 2.4.7. Annual-mean surface chlorophyll concentration for five regions of the western Black Sea basin obtained from 8-daily 9 km resolution SeaWiFS ocean colour product. The colour code for the regions are as shown in Fig.2.4.2.

The surface chlorophyll maps presented in Fig. 2.4.8 provide the monthly average distributions for 2001, 2003 and 2005 that were chosen to represent examples for highly, weakly, and moderately productive years, respectively. Throughout these years, the northwestern part of the Black Sea possess highest chlorophyll concentrations (>10 mg m-3) especially in summer months. This over-productive zone weakens gradually southward along the Bulgarian and Turkish coastal waters that are characterized by the values around 2-4 mg m-3. The Danube effect is most often visible up to the Bosporus coastal region, and its signature gradually weakens further eastward along the Anatolian coast. Some localized moderately productive zones are occasionally observed along the south-eastern and eastern coasts. The northern coastal zone was identified by lowest concentrations. The Rim Current system forms a barrier between coastal and interior waters during winter and spring periods when it is relatively strong, but more efficiently distributes chlorophyll between coastal and interior waters during summer and autumn when it is weakly stable and prone to mesoscale instabilities.

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Fig. 2.4.8. Monthly composites of surface chlorophyll concentration derived from daily-2km resolution SeaWiFS (NASA) ocean colour products for 2001, 2003 and 2005 (EC-Joint Research Centre, Global Environment Monitoring Unit Ocean Colour Archive, http://oceancolour.jrc.ec.europa.eu/).

 

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Fig. 2.4.8. (continued) Monthly composits of surface chlorophyll concentration derived from daily -2km resolution SeaWiFS (NASA) ocean colour products for 2001, 2003 and 2005 (EC-Joint Research Centre, Global Environment Monitoring Unit Ocean Colour Archive, http://oceancolour.jrc.ec.europa.eu/).

2.5. Surface and near-bottom oxygen concentrations

Northwestern shelf: Following the first sight of hypoxia (oxygen concentrations below 2 mg/l, or oxygen concentration less than 30% saturation value) in the coastal zone between Dnestr and Danube delta in August 1973, zones of seasonally low oxygen have been detected in the bottom waters of the northwestern shelf, most commonly within 30-40 mile zone along its north and west coasts; i.e. in the discharge regions of the northwestern rivers. Hypoxia development typically started in June-July, stretched towards offshore up to the depths of 20-30 m and attained its maximum coverage in August. In October, it largely retreated except in close vicinity of the Danube discharge region and near Odessa. According to the long-term observations (Loyeva et al., 2006), the largest hypoxia coverage (about one-third of the NWS area or more) was observed in the years 1978, 1983, 1989, 1990, 1999 and 2000, among which the 1983 event covered 52% of the NWS total area (Fig. 2.5.1). A similar analysis by Zaitsev (1992) reported almost twice larger spatial coverage for the 1970s and 1980s. It was reported to decrease in Romanian coastal waters and no hypoxia case was observed in Bulgarian waters in 2001-2005, where lower oxygen concentrations tended to occur more predominantly in the northern sector (Parr et al., 2005).

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Fig. 2.5.1. Long-term variations of spatial coverage of hypoxia in the northwestern shelf (redrawn from Loyeva et al., 2006), average chlorophyll concentration (mg m-3) for the northern part of the NWS provided by daily-8 km SeaWiFS ocean color sensor�� and the River Danube N-NO3 discharge.

Berlinskii (1989; 2003) proposed a linear empirical relationship between the rate and timing of river discharge and the scale of hypoxic conditions. In years with high river discharge and hence high nutrient input and organic matter production, the oxygen concentration in bottom layers becomes ~20% lower in comparison with years of low river discharge. Frequency of hypoxic conditions in front of the Danube river mouth was found to decrease when roughly half of the fresh water discharge took place before the first half of April whereas the maximum river input in April-May favoured oxygen depletion later in June-October. Loyeva et al. (2006) suggested a close correlation (r=0,86) between spatial coverage of brackish water with salinity less than 17.5 psu and the area of near bottom hypoxia. The data shown in Fig. 2.5.1, however, suggest no clear correlation of the extent of hypoxia with neither Danube fresh water discharge nor NO3 load, but it seems to correlate with the SeaWiFS chlorophyll concentration during 1998-2000 for the northern part of the NWS. In fact, hypoxia development depends not only the intensity of eutrophication but also circulation, stratification and meteorological (wind, heat flux, etc.) conditions and therefore may be subject to large year-to-year variations and a simple correlation to environmental factors may not always hold. Its sensitivity to different number of hydro-meteorological and biogeochemical factors complicates estimation of its spatial coverage by proxy data and therefore limits the use of such indirect approach as a reliable indicator of eutrophication. Fig. 2.5.1 does not indeed show stable tendency of increase or decrease in hypoxia coverage in the northwestern Black Sea.

SOE 2009 imageSOE 2009 imageSOE 2009 image

Fig. 2.5.2. Vertical distribution of oxygen saturation ratio along the Sulina transect during September 2001 and 2003, July 2002 (after Velikova and Cociasu, 2004).

Vertical distribution of oxygen saturation ratio along the Sulina transect exhibited oxygen depletion in summers 2001 and 2002 following relatively warm winters whereas bottom waters in the summer 2003 after the cold winter did not show any significant depletion (Fig. 2.5.2).

Long-term surface oxygen measurements in Constanta (Fig. 2.5.3) suggest persistently low concentrations (between 200-250 ��M) from the late-May to the end of September during the 1980s and the 1990s. The recovery in oxygen status in surface waters is evident after 2000 which are further supported by benthic data (e.g. mussel bed and community age class distributions) in the following chapters.

SOE 2009 image
Interior basin: Modification in sub-surface oxygen structure of the interior basin in the 1980s due to considerable increase in organic matter production has been monitored by long-term changes in the thickness of the suboxic layer (Orlova et al., 1999; Konovalov et al., 2001). This layer is defined in Fig. 2.5.4 by the sigma-t surfaces of 20 μM oxygen and 5 μM hydrogen sulphide concentrations and has been constructed using all available data from the interior basin since the 1960s. It is located at depths away from the direct impact of atmospheric ventilation and its temporal changes mainly reflect the changes due to biochemical processes. Its thickness had a relatively stable structure with a mean value of 20 m or equivalently Δσt~0.4 kg m-3 up to the late 1970s. It was then broadened to ~40 m (Δσt ≥ 0.55 kg m-3) during the 1980s and preserved this structure until the early-1990s due to higher rate of oxygen consumption associated with intensified biological production. This period was followed by a decline of the thickness to Δσt~0.35 kg m-3 during the mid-190s after which the data from 2001 and 2003 indicated further broadening due to intense phytoplankton bloom events.

 
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SOE 2009 image

Fig. 2.5.3. Temporal variations of surface dissolved oxygen concentration in Constanta since the 1960s.

SOE 2009 image

Fig. 2.5.4.�� SOL thickness measured as the difference between the sigma-t surfaces of 20 ��M dissolved oxygen and 5 ��M hydrogen sulphide concentrations deduced by all available data from the deep interior basin (after Konovalov et al., 2005), average dissolved oxygen concentration within the layer of σt ~14.45 and 14.6 kg m-3 surfaces in the region off the eastern coast (after Yakushev et al., 2005), and annual-mean surface dissolved oxygen concentration in northwestern coastal waters.

Fig. 2.5.4 further includes the long-term oxygen concentration variation of the layer between σt ~14.45 and 14.6 kg m-3 surfaces (roughly the base of euphotic zone) along the eastern coast formed by annual averages of all deep stations irrespective of their seasons and locations. In consistent with the period of maximum SOL thickness, oxygen concentration of this layer attained low values below 200 μM and then was followed by an increasing trend up to ~300 μM during the 1990s at the time of narrower SOL thickness. The mid-1990s represented best conditions of the subsurface oxygen concentration, after which it started to deteriorate again during the period of SOL broadening. The interior basin and the eastern part of the sea presently reflect an intermediate state of the subsurface oxygen structure between worst conditions of the 1980s and the best conditions of the mid-1990s.

The surface DO concentrations in the northwestern coastal waters (Fig. 2.5.4), mostly in the vicinity of Constanta, respond less markedly to adverse effects of eutrophication because of atmospheric ventilation of surface layers. Nevertheless, slight changes are observed between relatively higher concentrations during cold periods (e.g. 1985-1993, after 2003, and prior to 1975) and warm periods (1975-1985 and 1994-2002). Instead it responds more strongly to climatic effects as indicated by its elevated values during short term severe winter episodes of 1985-1987, 1992-1993, 2003-2004.���� Fig. 2.5.4 further indicates that subsurface concentration within the eastern basin and surface concentration in the northwestern coastal waters tend to have opposite interannual variations after 1998 due to different environmental factors governing oxygen concentration. The eastern coastal waters appear to be controlled primarily by physical mechanisms that are regulated directly by climatic cooling-warming cycles, whereas northwestern waters by the changes in Danube organic and inorganic nitrogen loading, in addition to the direct climatic forcing.

2.6. Conclusions and key assessments

Nitrogen and phosphorus emissions continue to reduce, but their 2000-2005 average values are still 1.5 times higher than their pristine levels at 1955-1965. P-PO4 flux supplied by the River Danube declined considerably at 1990-1993, after which it maintained a steady level between 10-20 kt y-1 at the Sulina discharge point to the sea. The River Danube DIN flux at the Sulina discharge point decreased gradually during the 1990s to about 100 kt y-1 at 2000, but possessed a weak increasing trend to 250 kt y-1 during 2005. The DON flux supplied by the northwestern rivers (Danube, Dniepr, Dniestr, and Bug) is currently even higher than the DIN load. Consequently, an increasing trend is observed in DIN concentration along the Ukrainian, Romanian and Bulgarian coastal waters in the present decade. The western coastal waters are presently subject to both dissolved inorganic and organic nitrogen enrichment, and they do not present an apparent status of improvement in terms of nitrogen during the last 10 years. DIN and PO4 concentration levels along other coasts (southern, northeastern and northern) are, on the other hand, about 3-4 folds lower than the western coast. In spite of ongoing nitrogen enrichment, the western coastal waters tend to be weakly nitrogen limited as for the case of the interior basin, except the predominantly P-limited shallow inner shelf zone. The data suggest a weak Si limitation in western coastal waters as well. This is partially due to decreasing SiO4 concentration and partially due to increasing DIN concentration. Limited measurements at Sevastopol-Crimea quantitatively supported the importance of atmospheric deposition of nitrogen species.

Monitoring winter nutrient concentrations as an indicator of eutrophication set by EEA does not suit well for the Black Sea western coastal waters, because they possess peaks at April-May at the time of highest Danube discharge. More frequent (e.g. monthly) monitoring at less number of stations around the basin can be considered as an option of monitoring.�� Atmospheric deposition need to be monitored regularly around the basin in order to arrive at a more reliable nutrient budget of the sea. Moreover, nitrogen losses due to sedimentation and denitrification along the western coastal waters remain to be quantified in order to assess the fate of nitrogen enrichment of the system.

Surface chlorophyll concentration varies five-folds from its highest annual-mean values (~5 mg m-3) in the northwestern region to lowest values (~1 mg m-3) within the interior basin. The annual structure in the northwestern shelf is characterized by relatively high concentrations from early spring to late autumn. Lowest concentrations are observed in winter months. Romanian, Bulgarian and southwestern coastal waters generally reveal three peaks over the year; the first one comprises a weak late winter-early spring (February-March) algae bloom period in relation to typical spring bloom dynamics. This is the weakest one and does not exist for some years. It is followed by a stronger late-spring peak (in May-June) that evidently coincides with the period of high Danube discharge. The third one occurs in autumn and is separated from the former one by a period of relatively low summer concentrations. Interior basin depicts a different annual structure. Surface chlorophyll concentration decreases linearly from a peak in November to a minimum in July, followed by a sharp increase from August to November again. The autumn peak is the strongest one with an occasional weak chlorophyll peak in spring.�� Monitoring surface chlorophyll concentration only in summer months, as set by EEA monitoring strategy, therefore may not be well-suited for the Black Sea, and may even lead to a wrong assessment. While summer months possess lowest chlorophyll concentration at the surface, they tend to show high values below the seasonal thermocline (i.e. the subsurface chlorophyll maximum layer), which therefore need to be monitored systematically. Comparison of satellite ocean colour and in situ chlorophyll concentrations is encouraging, and indicate that satellite data provide a potential tool for chlorophyll monitoring.����

According to recent studies, hypoxia decreased in Romanian coastal waters as compared to the previous decade, and no hypoxia case was observed in Bulgarian waters in 2001-2005. Relatively low oxygen concentrations tend to occur more predominantly in the northern sector upstream of the Danube delta region. Long-term data at Constanta monitoring station suggest surface oxygen concentration in 200-250 μM range during May-September period, including the intense eutrophication period of the 1980s.�� This information therefore is not particularly useful for assessment purposes. It is indeed essential to monitor the near-bottom summer oxygen concentration in addition to its surface value. On the other hand, the annual-mean surface oxygen concentration is a good indicator for monitoring long-term climate-induced modulations of eutrophication phenomenon in the western coastal waters. Subsurface oxygen concentration (below the euthopic zone) data from the interior basin and the eastern part of the sea presently reflect an intermediate state between worst conditions of the 1980s and the best conditions of the mid-1990s.

References

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Berlinskii, N, Garkavaia, G., Bogatova, Y. (2003) Problems of anthropogenic eutrophication and evolution of hypoxic situations in the North-Western part of the Balcak Sea. Ecology of Sea, 17-22.

Chaykina, A.V., V.V., Dolotov, Y.P., Ilyin, S.K., Konovalov, A.S., Kuznetsov, L.N., Repetin, O.V. Voitsekhovich (2005) Observational studies of nutrient loads on the Black Sea with atmospheric precipitations. Proceedings of The First Biannual Scientific Conference: Black Sea Ecosystem 2005 and Beyond, organized by Commission on the Protection of the Black Sea Against Pollution, May 2006, Istanbul.

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Churilova, T., Z. Finenko, S. Tugrul, (2006)�� Light absorption and quantum yield of�� photosynthesis during autumn phytoplankton�� bloom�� in the western�� Black Sea. Proceedings of The First Biannual Scientific Conference: Black Sea Ecosystem 2005 and Beyond, organized by Commission on the Protection of the Black Sea Against Pollution, May 2006, Istanbul.

Cociasu, A., L. Popa, S. Dineva, P. Ivanova, V. Velikova (2004) Summary report on field and laboratory work in 2001-2003 in comparison with previous observations in the Western Black Sea. Nutrient management in the Danube Basin and its impact on the Black Sea. daNUbs Projects (EVK1-CT-2000-00051), Deliverable 7.6, Nutrient Management in the Danube basin and its impact on the Black Sea. EVK1-CT-2000-00051.

daNUbs Project Final Report (2005) Nutrient management in the Danube basin and its impact on the Black Sea. Final Report, December 2004.

Feyzioglu, M., A. Guneroglu, I. Yildiz (2006) Weekly changes of�� Synechococcus spp. and pigment concentration in the Southeastern Black Sea coast. Proceedings of The First Biannual Scientific Conference: Black Sea Ecosystem 2005 and Beyond, organized by Commission on the Protection of the Black Sea Against Pollution, May 2006, Istanbul.

Hibaum, G, V. Karamfilov (2005) Regime shifts in the annual dynamics of primary production and chlorophyll_a concentrations in the costal zone of the Bourgas Bay (Western Black Sea). Proceedings of The First Biannual Scientific Conference: Black Sea Ecosystem 2005 and Beyond, organized by Commission on the Protection of the Black Sea Against Pollution, May 2006, Istanbul.

Horstmann, U., Davidov, A. (2002) IFM Annual Report. daNUbs project.

Konovalov, S.K., and J.W. Murray (2001). Variations in the chemistry of the Black Sea on a time scale of decades (1960-1995). J. Mar. Syst., 31, 217-243.

Konovalov, S., J.W. Murray, and G.W. Luther III (205) Basic Processes of Black Sea Biogeochemistry. Oceanography, 18, 25-35.

Kucheruk, N. (2005) Integrated study of eutrophication and biodiversity in the Russian coastal waters. Proceedings of The First Biannual Scientific Conference: Black Sea Ecosystem 2005 and Beyond, organized by Commission on the Protection of the Black Sea Against Pollution, May 2006, Istanbul.

Loyeva, I., I. Orlova, N. Pavlenko, Yu. Popov, V. Ukrainskiy, Yu. Denga, V. Komorin,�� V. Lepeskin (2006) Estimation of the ecological state of the north-western part of the Black Sea. Proceedings of The First Biannual Scientific Conference: Black Sea Ecosystem 2005 and Beyond, organized by Commission on the Protection of the Black Sea Against Pollution, May 2006, Istanbul.

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Moncheva, S. (2005) Phytoplankton shifts in the Black Sea ����� Driving forces and implication for reference conditions. Proceedings of the JRC Workshop, 26-28 October, 2005-Istanbul

Okus, E.�� (2005)�� Time series analysis of nutrients in southwestern Black Sea and the Sea of Marmara. Proceedings of the JRC Workshop, 26-28 October, 2005-Istanbul

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Oguz, T. and D. Ediger (2007) Comparision of in situ and satellite-derived chlorophyll pigment concentrations, and impact of phytoplankton bloom on the suboxic layer structure in the western Black Sea during May�����June 2001. Deep Sea Res. II, 53, 1923-1933.

Parr et al. (2006) Impact of the Danube River on the Black Sea. Estimation of the ecological state of the north-western part of the Black Sea. Proceedings of The First Biannual Scientific Conference: Black Sea Ecosystem 2005 and Beyond, organized by Commission on the Protection of the Black Sea Against Pollution, May 2006, Istanbul.

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Teodoru, C. R., G. Friedl, J. Friedrich, U. Roehl, M. Sturm, B. Wehrli (2007) Spatial distribution and recent changes in carbon, nitrogen and phosphorus accumulation in sediments of the Black Sea. Marine Chemistry, 105, 52�����69. TDA (2007) The Black Sea Transboundary Diagnostic Analysis.

Yakushev, E.V., O.I. Podymov, and V.K. Chasovnikov (2005) Seasonal Changes in the Hydrochemical Structure of the Black Sea Redox Zone, Oceanography, 18, 49-55.

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Velikova, V. and Cociasu, A. (2004) Summary report on field and laboratory work in 2001-2003 in comparison with previous observations in the Western Black Sea Part. III. Comparison between Roumanian and Bulgarian waters. Nutrient management in the Danube Basin and its impact on the Black Sea. daNUbs Projects (EVK1-CT-2000-00051), Deliverable 7.6, Nutrient Management in the Danube basin and its impact on the Black Sea. EVK1-CT-2000-00051.

Zaitsev Yu.P. (1992) Recent changes in the trophic structure of the Black Sea. Fisheries Oceanography, 1, 180-189.

CHAPTER 3 THE STATE OF CHEMICAL POLLUTION (A. Korshenko et al.)

This chapter describes the state of petroleum hydrocarbon (TPHs), organochlorine pesticide, and trace metal pollution in water and sediments in the Black Sea during the last ten years. The pathways of these anthropogenic pollutants into sea ecosystem are different. Many pollutants are restricted to rather narrow zone in the vicinity of large cities, estuarine areas of the large rivers and industrial places. The petroleum hydrocarbon pollution mostly originates from transportation activity over the sea and mainly confines to the surface.

The data used for the assessment of spatial and temporal variability of the pollutants came from three main sources. The last five years were mainly covered by the international monitoring data collected by Secretariat of the Black Sea Commission. Despite some restriction in the number parameters these data sets were rather well and allowed to compare the pollution level of coastal zones in different countries. The second important source was the international Screening Cruise 1995 (for bottom sediments), the IAEA Cruise (11-20 September 1998) (for water column), the IAEA Cruise (22.09-9.10.2000) (for water column), the IAEA Cruise (24.09-3.10.2003) (for bottom sediments), the BSERP Cruise (6-19.06.2006) (for bottom sediments of Romania and Georgia). The third source was the national scientific expeditions.

3.1. The State Of Total Petroleum Hydrocarbons (TPHs)

A. Korshenko

State Oceanographic Institute, Moscow, RUSSIA

Depending on the analytical procedures applied in different cruises [5], the petroleum hydrocarbons data are expressed either in total amount or in terms of relative contributions of Aliphatic, Aromatic and Polyaromatic groups in the oil.

3.1.1. Water

The most intensive spatial investigations of the TPHs distribution over the whole Black Sea were carried out during two IAEA Cruises of RV "Professor Vodyanitskyi" during 11-20 September 1998 and 22.09-11.10 2000 [1]. In 1998, 16 stations were visited in the western central basin, the Danube offshore area and Romanian shelf. The average concentration for all sampled area is 0.084 mg/l, the maximum reached 0.23 mg/l in the shallow waters off Romania coast south of Constanta where active ship traffic, oil refinery and harbor activities could be the main reason of very high level of TPHs concentration. TPHs concentrations in the Danube discharge region were not high as compared with the Constanta region. Lowest concentrations (0.03 mg/l) were recorded near the entrance of Bosporus Strait and near Odessa. In general, the spatial distribution of petroleum hydrocarbons in September 1998 was rather uniform and level was low (Fig. 3.1.1).

In the IAEA Cruise 2000, TPHs were measured at 32 stations in the Eastern and Central parts of the Sea. Its total concentration varied from negligibly low values to 0.73 mg/l with an average value of 0.097 mg/l. The anomalously high concentration of 3.27 mg/l was recorded in the surface layer of a shallow station near Feodosiya in Crimea. This level exceeded the Russian standard Maximum Allowed Concentration, MAC, (0.05 mg/l) for marine waters more then 65 times. The second high value (0.73 mg/l) measured close to this site in front of Yalta. Two other stations near Yalta also had quite high TPHs concentrations varied in different horizons from 0.13 to 0.19 mg/l. Such local patch of oil pollution in the Southern Coast of Crimea was the biggest at this time in the Black Sea waters and could be the result either of local spill or municipal discharge of large tourist centers (Table 3.1.1).

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Fig. 3.1.1. Average Total Petroleum Hydrocarbons distribution (mg/l) at 11-20 September 1998.

Table 3.1.1. The average concentration of TPHs (mg/l) in different part of the Black Sea measured during the September-October 2000 IAEA Cruise.

Region Central West Crimea Cost Kerch Strait Georgians waters Sinop polygon Central East Central open
Concentration 0.30 0.78 0.20 0.05 0.05 0.03 0.03
SOE 2009 image

Fig. 3.1.2. Average Total Petroleum Hydrocarbons distribution (mg/l) at 22 September ����� 9 October 2000. The anomalous high concentration 3.27 mg/l near town Feodosiya is not shown on the map.

The waters at the Kerch transect was also relatively polluted by TPHs especially near the entrance of the Kerch Strait (Fig. 3.1.2) suggesting a discharge of oil pollution from the Kerch harbor and intensive ship traffic. On the contrary, the level of pollution in Georgian and Turkish waters was relatively low despite of a well-known center of oil processing in the Batumi area where the concentration of TPHs in surface and subsurface layers was lower than 0.09 mg/l and sometimes were under the detection limit of analytical procedure. In the Cape of Sinop region, the concentration varied from 0.02 to 0.12 mg/l. The Central part of the sea and the Eastern Basin showed only small concentrations of petroleum hydrocarbons which were often below the detection limit and never exceeded 0.05 mg/l.

Table 3.1.2. The average and maximum concentrations of TPHs (mg/l) in Ukrainian part of the Black Sea, 2000-2005.

Region Kerch Strait Crimean towns Odessa Bay Odessa region [11] 1988-99 Harbour Yuzhny Harbour Illiechevsk Dnieper and South Bug Mouth 1992-99 [2](140 samples)
Average 0.05 0.01 0.01 0.03-0.07 0.01 0.01 0.025 0.05
Maximum 0.18 0.06 0.08 - 0.07 0.07 0.05 1.2

Table 3.1.3. Annual average (above) and maximum concentrations (below) of TPHs (mg/l) in Ukrainian coastal waters of the Black Sea, 2000-2004 [4].

Region 2000 2001 2002 2003 2004 2004 TPHs (tons)*
Danube Delta 0.05 0.05 0.05 0 0  
0.09 0.1 0.09 0.08 0.07
Waterpasses in Danube Delta 0.06 0.06 0.04 0.05 0.01  
0.10 0.12 0.08 0.08 0.07
Suhoi Liman 0.05 0.05 0 0 0  
0.3 0.25 0.28 0 0
Harbour Illiechevsk** 0.05 0.05 0 0 0  
0.08 0.16 0 0 0
Harbour Odessa 0.09 0.12 0.12 0.11 0.12 0.17 (with Suhoi Liman)
0.24 0.35 0.33 0.56 0.51
South Bug Estuary & Bug Liman 0.2 0.28 0.16 0.17 0.19 43.59 (Dniper and South Bug Mouth)
1.02 0.9 0.85 0.9 0.85
Balaklava Bay (Crimea)       0 0.05 6.9 (Sevastopol)
      0.06 0.08
Harbour Yalta (Crimea) 0 0.05 0 0 0.02 1.8 (Large Yalta)
0 0.05 0.17 0.24 0.47
             

* - estimation of petroleum hydrocarbons (tonns) discharge to the Black Sea in 2004.

** - Harbor Illiechevsk, the Channel and waste-water purification plant.

More recent (2000-2005) monitoring data from the northern part of the sea [3] indicated a maximum 0.18 mg/l in vicinity of Kerch Strait in September 2004 and an average concentration of 0.05 mg/l suggesting that concentrations were often close to analytical limit (Table 3.1.2). The TPHs concentration was very low in the Crimean towns Sevastopol and Evpatoriya despite their dense ship traffic and harbor activities. The monitoring data from the Odessa Bay also showed very low average concentration and moderate maximum level of 0.08 mg/l during 2000-2005. In the Yuzhny harbour, among 37 samples over last 5 years the only five had the concentration above zero. Practically the same situation in the waters of Illiechevsk harbour. At stations in the Dniper and South Bug Mouth the water were also free of TPHs.

 

According the other Ukrainian monitoring data for 2004, the water pollution by TPHs in the Danube Delta was moderate in August-October: the average value was 0.06 mg/l and maximum reached only 0.07 mg/l both in surface and near-bottom layers [4]. The TPHs was absent in the water slightly north along the coast in Suhoi Liman and Illiechevsk harbor (Table 3.1.3). On the other hand, very high concentrations were noted for the Odessa harbor where the TPHs content in the surface waters varied from 0.11 to 0.51 mg/l. Maximum occurred in October and monthly average value was high as 0.31 mg/l and 2-3 times higher than in January-August. The annual mean value was 0.12 mg/l. Near-bottom layer waters were less polluted and maximum reached 0.34 mg/l. The Bug Liman and South Bug estuarine area were characterized by the TPHs concentrations from zero to 0.85 mg/l in 2004 and the level of pollution slightly increased over the last few years. Similar high concentrations were also recorded in the Dniepr Liman and for the Dniepr river where maxima reached 0.68 and 0.50 mg/l, measured in deep waters in July and at surface in September correspondingly. The pollution increased in whole water column about 1.3-1.8 times in these sites during the last few years. In the Crimean Balaklava Bay, the TPHs concentration varied from zero to 0.08 mg/l and mean value was 0.05 mg/l. Much higher mean values were recorded in the Yalta harbor where maximum in surface layer was as high as 0.47 mg/l in July and reached 0.17 mg/l near the bottom. The data for the 2004 were somehow higher than the average of the 5 years period (2000-2005). The difference could be high as 10 times, like in the Dnieper-South Bug area, Odessa Harbor or Crimean ports. The averaged data probably smoothed the real picks in the water.

 

On the basis of these data sets, it can be suggested that, apart from accidental spills at localized areas, this part of the Black Sea did not show a chronic TPHs pollution. In general, it can be stated that large spatial and temporal variability of petroleum hydrocarbons distribution were encountered during the last years. It seems that patches of oil pollution were often local and short time visible, therefore the maximums better describes the real level of pollution.

In Romanian coastal waters during 2001-2005, the level of water petroleum hydrocarbons pollution is presented in Table 3.1.4 [3]. In 2005, the average concentration was 0.14 mg/l with the maximum 0.20 mg/l (Portita, October) in the Danube Delta. Along the coast to the south near Mamaia, the TPHs content in the surface waters was much higher and maximum reached level 0.47 mg/l. Almost the same situation with a small variation was noted for all Romanian coast up to Bulgarian border.

Table 3.1.4. The average and maximum concentration of TPHs (mg/l) in the surface coastal waters of Romanian part of the Black Sea, 2001-2005.

Region Year Danube Delta Mamaia Constanta Eforia Sud Costinesti Mangalia Vama Veche
Average 2005 0.14 0.21 0.23 0.18 0.23 0.25 0.28
Maximum 2005 0.20 0.47 0.37 0.26 0.41 0.41 0.43
Average 2001-2004 0.22 0.17 0.15 0.14 0.16 0.22 0.14
Maximum 2001-2004 1.28 0.75 0.76 0.71 0.67 2.27 0.40
number of observation 2001-2004 41 47 68 47 46 48 48

Typically, the average concentrations in all Romanian coastal waters were highest in 2003. Nevertheless, extremely high mean values were also noted in the previous years. The absolute maximum reached 2.27 mg/l in June 2003 in shallow waters near Mangalia of the Romanian coast. Another high level (1.28 mg/l) was marked in the Danube delta near Portita in April 2004. It is important to note that high concentration like 0.50 ����� 0.70 mg/l was recorded many times in all regions of Romanian coast. In 2001, the average for 50 samples was 0.17 mg/l; a year later for 92 samples - 0.10 mg/l; in 2003 ����� 68 samples and the mean was 0.14 mg/l; in 2004 ����� 135 samples and the mean was 0.02 mg/l; in 2005 ����� 74 samples and 0.21 mg/l. In general, among 344 records of TPHs concentrations in Romanian waters during 2001-2004 only 72 were less then 0.05 mg/l and the other mean values indicated a high level of petroleum hydrocarbon pollution along the Romanian coast.

The seasonal changes of TPHs did not show any clear trend during 2001-2004 measurements due to different number of observations in different months: The averages were 0.12 mg/l in 4 samples in March; 0.21 mg/l in 17 samples in April, 0.23 mg/l in 74 samples in May; 0.18 mg/l in 44 samples in June; 0.08 mg/l in 54 samples in July; 0.14 mg/l in 55 samples in August; 0.20 mg/l in 61 samples in September; 0.15 mg/l in 36 samples in October.

Bulgarian monitoring data did not include petroleum hydrocarbons measurements during 2001-2005.

Turkish coastal TPHs monitoring data covered 2003-2005. Near the outlet of the Bosporus Strait, the concentration at 3 shallow stations varied in the large range from 0.006 to 0.255 mg/l (exceeded 5 times the MAC according Russian legislation for marine waters) and the mean was 0.092 mg/l in January and February 2003. The general level of pollution of Turkish coastal waters was rather low and varied between 0.001 and 0.077 mg/l, the average was 0.011 mg/l next year mid-September. In August 2004 maximum (0.052 mg/l) was marked near the Sile to the east of the Bosporus exit section. All other concentrations fell inside the range of 0.001 ����� 0.042 mg/l with heavier pollution levels observed in coastal waters near Samsun.

In April 2005, the average level of petroleum hydrocarbons content in 63 samples from the Turkish waters was 0.020 mg/l. Maximum was as high as 0.163 mg/l in Ordu area. Slightly lower pollution was recorded near Fatsa (eastern basin) and along the west coast. The situation however changed drastically by the end of September and beginning of October 2005. Some places could be considered as heavily polluted. The maximum concentration of TPHs reached incredible level of 25.466 mg/l at a station along the west coast characterized by surface waters of Danube origin; two other nearby stations had concentrations of 1.935 and 0.855 mg/l. Excluding these extreme values, the average of 60 samples was 0.199 mg/l. High values were spotted practically in all parts of the Turkish coast during October 2003: in Zonguldak, 1.279 mg/l, in Bartin, 0.573 mg/l, in Cide, 0.530 mg/l, in Akcaabat, 0.571 mg/l, in Sile, 0.900 mg/l. In general, very high water pollution was noted in the western part of the Black Sea where mean level for four stations occurred as high as 0.757 mg/l.

During the screening cruise in the Georgian waters in October 2000, the concentration of petroleum hydrocarbons was less than the detection limit of method used (0.04 mg/l) at 5 m depth as well as the near bottom layer at 114 samples out of 140. The overall average was 0.130 mg/l. In twenty four water samples, the TPHs content exceeded 1 MAC (0.05 mg/l) and reached the level of 1.13 mg/l, in average ����� 0.23 mg/l. But the concentration of petroleum hydrocarbons at two coastal stations on the 5 m horizon reached 4.72 and 6.81 mg/l (more then 136 MAC). The reason of such amount of oil products in the water is unknown, probably it was a slick.

The extensive monitoring investigations along Russian coastal waters showed a moderate level of petroleum hydrocarbons pollution in 1988-1996 that was in general characterized by 0.1-0.2 mg/l, e.g. 2-4 MAC according to the Russian regulation for marine waters [12, 13]. At the same time, concentrations at some sites were as high as 1.10 ����� 1.20 mg/l, 22-24 MAC. The maximum was recorded in Sochi area in 1990. The content of TPHs then decreased gradually.

Based on the topographical and hydrological conditions along the Russian coast, the shallow waters were divided into several zones (Fig. 3.1.3). To some extend the environmental parameters are uniform within each zone. The monitoring data from the each zone allowed estimation the magnitudes and local pollution sources.

The monitoring in these coastal waters over the last 5 years (2002-2006) provided 868 measurements with an average value of 0.073 mg/l. This level exceeds the Maximum Allowed Concentration (MAC) 0.05 mg/l according Russian regulation. At the same time the range of variation was extremely large and varied between analytical zeros (e.g. less then detection limit 0.002 mg/l) to 3.200 mg/l. The maximum was marked in 27 September 2003 in surface waters at the shallow station (8 m depth) in the vicinity of village Novaja Matsesta close to city Sochi. At the same time, the concentration of TPHs reached second maximum of 1.971 mg/l in the near-bottom layer. The other TPHs concentrations higher than 1.0 mg/l occurred two days earlier at the rather deep station (51 m depth) near the village Loo close to Lazarevskoe where it reached 1,380 and 1.548 mg/l in surface and bottom waters, respectively.

In general the high content of TPHs exceeded 1 MAC was measured in 421 cases, e.g. approximately in half of the samples. The mean was 0.131 mg/l. The mean concentration in other parts was 0.019 mg/l. The vertical distribution was rather uniform as well (Table 3.1.5) since almost 60% of measurement sites were less 20 m depth. In deep waters, the petroleum content in the water column was only occasionally studied, and the mean for the some measurements at the horizons between 50 m and bottom was 0.020 mg/l.

SOE 2009 image

Fig. 3.1.3. Division of the Russian coastal waters in terms of TPHs pollution.

Table 3.1.5. TPHs concentrations in different water layers along the Russian coast in 2002-2006.

Layer Number of measures Mean, mg/l Maximum, mg/l
Surface 371 0.083 3.200
Intermediate 176 0.033 0.200
Near bottom 321 0.084 1.971

Geographical pattern of TPHs distribution demonstrate increasing level of TPHs pollution in the coastal waters close to the towns Novorossiysk and Gelendzhik (Table 3.1.6). The most peculiar values were measured during September-October 2003-2005 and therefore could not be completely compared with the other data. The abundant samples from the southern part of the Russian coast and rather low sampling from the northern part showed concentrations in excess of 1 MAC in the surface and bottom waters. Relatively high values were recorded in all regions in September 2003 and October 2004. On the other hand, high TPHs were recorded only in waters between Inal Bight and village Divnomorskoe in July 2005. Interannual variations are not evident for such a short period of measurements (Table 3.1.7). One could suggest that TPHs concentration is slightly increased during the last years but the trend have to be confirmed with other data sets, if available. Seasonal variations are also not evident from this set of data (Table 3.1.8). The only conclusion which could be drawn by these data sets is higher TPHs pollution in the second part of the year with the mean value of 0.078 as compared to 0.050 mg/l for the first half of the year.

Summary: The mean concentration of petroleum hydrocarbons in the Black Sea in general were rather high and usually exceed standard Maximum Allowed Concentration (0.05 mg/l) almost everywhere in the sea (Table 3.1.9). The petroleum pollution appears a major problem for the whole sea during the last two decades. The same situation was in the previous period of 1980-th when the average of TPHs concentration for almost 4 thousands water samples exceeded the threshold of Maximum Allowed Concentration about 2 times [10]. The maximum concentrations could be extremely high, up to 25.5 mg/l, which were observed almost everywhere in the basin. Quite often, such high values were recorded along the tanker and shipping routes connecting the main harbors Odessa, Novorossiysk and Istanbul. The extremes in the coastal shallow waters should be a result of local spills from the ships or discharge from the waste water systems of the large cities. The ballast water discharge emerges one of the most important sources of petroleum pollution [14]. Black Sea rivers can also contribute significantly.

Table 3.1.6. Mean concentration of TPHs (mg/l) and number of measurements (in parantheses) in the different zones of Russian coastal waters in 2002 ����� 2006.

Parameter / Zone number 2 3 4 5 6 7 8 9
Surface 0.082(208) 0.082(48) 0.053(49) 0.055(8) 0.330(9) 0.145(12) 0.051(27) 0.069(6)
Intermediate 0.034(98) 0.017(45) 0.035(23) 0.107(3) 0.120(2) 0.075(2) 0.097(3) -
Near bottom 0.084(168) 0.102(41) 0.059(47) 0.097(8) 0.217(9) 0.109(12) 0.051(27) 0.047(6)
��Average 0.073(474) 0.066(134) 0.052(119) 0.081(19) 0.258(20) 0.123(26) 0.054(57) 0.058(12)
��Maximum 3.200 1.548 0.235 0.260 0.900 0.550 0.210 0.160
��Date of Maximum�� value 27.09.2003 25.09.2003 18.10.2004 16.07.2005 18.10.2004 18.10.2004 13.10.2004 13.10.2004

Table 3.1.7. Annual variation of the mean concentration of TPHs (mg/l) in Russian coastal waters in 2002 ����� 2006.

Year 2002 2003 2004 2005 2006
Mean TPHs 0.027 0.058 0.091 0.082 0.064

Table 3.1.8. Seasonal variation of the mean concentration of TPHs (mg/l) in Russian coastal waters in 2002 ����� 2006.

Months 2 3 4 5 6 7 8 9 10 11
Mean 0.046 0.044 0.060 0.057 0.048 0.086 0.054 0.073 0.113 0.081
Maximum 0.210 0.160 0.080 0.300 0.110 0.640 0.260 3.200 0.900 0.820
Number of samples 22 38 4 52 32 111 178 239 128 64

Despite very high concentrations, about the half of samples can be considered as pollution-free implying very high level of spatial heterogeneity TPHs distribution. As a consequence, the current monitoring station network in the Black Sea appears to be not dense enough in terms of spatial coverage and temporal frequency to monitor oil spills. The field monitoring needs to be supported by satellite and/or aircraft images as routinely in Europe.

Satellite imagery can help identifying spills over very large areas. The Synthetic Aperture Radar (SAR) instrument, which can collect data independently of weather and light conditions, is an excellent tool to monitor and detect oil on water surfaces. This instrument offers the most effective means of monitoring oil pollution. It is currently on board the European Space Agency's ENVISAT and ERS-2 satellites and the Canadian Space Agency�����s RADARSAT satellite. In 2000-2004, JRC carried out a systematic mapping of illicit vessel discharges using mosaics of satellite images over all the European Seas (Fig. 3.1.4). These maps and the associated statistics were repeated on an annual basis in order to assess its evolution [6]. This action helped to reveal for the first time the dimension of the oil pollution problem, thus stressing the need for more concerted international actions. For the Black Sea, 1227 oil spills were detected during 2000-2004.

Table 3.1.9. Maximum and mean concentration of Total Petroleum Hydrocarbons (mg/l) in the Black Sea waters in 1992 ����� 2006.

Area Year Waters Max Mean
IAEA 1998 Western shelf 0.23 (Constantia) 0.084
IAEA 2000 Eastern open 3.27 (Feodosia) 0.097
Ukraine 1992-1999 coastal 1.20 0.050
Ukraine 2000-2005 coastal 0.18 (Kerch) 0.050
Ukraine 2004 coastal 0.51 (Odessa) 0.12 (Odessa)
Ukraine 2004 coastal 0.85 (Dnieper ����� South Bug)
Romania 2001-2005 coastal 2.27 (Mandalia) 0.14-0.28
Turkey 2003 coastal 0.255 (Bosphorus) 0.092
Turkey 2004 coastal 0.077 (Sile) 0.011
Turkey 2005 coastal 25.466 (Danube waters),1.935 (Danube waters) 0.199 (without 3 extremes)
Georgia 2000 coastal 6.81 (Georgia) 0.13 (140 samples)
Russia 2002-2006 coastal 3.200 (Novaja Matsesta, Sochi) 0.073
Black Sea [10] 1978-1989Winter coastal + open, surface 0.89 (central Western shelf) 0.10 (519 samples)
Black Sea [10] 1978-1989Spring coastal + open, surface 0.59 (offshore of Crimea) 0.08 (379 samples)
Black Sea [10] 1978-1989Summer coastal + open, surface 0.55 (Odessa region) 0.08 (526 samples)
Black Sea [10] 1978-1989Autumn coastal + open, surface 1.29 (Sinop region) 0.09 (425 samples)
Black Sea [10] 1978-1989 coastal + open 1.29 (Sinop region) 0.09 (3828 samples)
SOE 2009 image

Fig. 3.1.4. The oil spills in the Black Sea for period 2000-2004. Map of oil spills based on images taken by Synthetic Aperture Radars (SARs) of European satellites ERS-2 and Envisat. The oil spill density has been spatially normalized to the spill widths and the number of images available for the detection http://serac.jrc.it/midiv/maps/.

Satellite detection of oil spills with synthetic aperture radar (SAR) can now provide reasonably reliable information, but it is still a major challenge for coastal environment. Difficulties are compounded when there is no a priori knowledge of the occurrence, location or timing of a spill, when volumes are small, or when the oil is mixed with water as it enters the sea ����� just the type of oil pollution that is most common. Thus, systematic multi-sensor routines represent an improvement. The Space Radar Laboratory of the Space Research Institute of RAS (http://www.iki.rssi.ru/asp/lab_554.htm) developed techniques for the synergistic use of satellite data to monitor pollution from pipe-line seeps, waste-water discharges, marine traffic and spillages from routine operations as part of offshore or tanker activities (http://moped.iki.rssi.ru). These techniques need to be implemented for operational monitoring system in coastal waters. First results were obtained during the semi-operational phase of satellite monitoring of the Russian coastal zones of the Black and Azov Seas in 2006-2007 [15, 16, and 17]. The ship routes to the ports of Novorossiysk and Tapes and oil terminal Zhelezny Rog were identified as the most polluted regions. Cumulative charts of oil spills based on the analysis of SAR data are presented (Fig. 3.1.5). Over the period of observations from April to October 2006, around 50 oil spills from ships were registered with the spill sizes of from 0.1 to 13 km2. The integral area of spills detected over the period was around 120 km2. Furthermore, approximately 70 oil spills from ships were detected in the north-eastern part of the Black Sea from April to October 2007, including the catastrophic 11 November 2007 event from the ���œVolgoneft-139���� tanker accident for in the Kerch Strait which was estimated to disperse to 117.6 km2. The total area of spills recorded during the observation period in 2007 was around 309 km2.

SOE 2009 image

Fig. 3.1.5. Oil spills in the northeastern part of the Black Sea in 2006 and 2007.

3.1.2. Bottom Sediments

The first attempt to assess the level of TPHs pollution in the Black Sea bottom sediments was done in September-December 1995 during the international cruise aboard RV ���œV. Parshin���� [8]. The samples were taken at 25 sites at the outlet of Bosporus Strait and along the Ukraine coast including the Danube Delta as well as the vicinity of city Sochi in the southern part of Russian coast (Fig. 3.1.6). In bottom sediments around Crimea peninsula, the content of petroleum hydrocarbons was below 6.6 ��g/g near Yalta (depth 57 m), and 5.8 and 2.1 ��g/g at the shallower stations in the vicinity of Feodosia (18 m) and Kerch (6 m), respectively. The TPHs concentration increased drastically to 310 ��g/g with the mean value of 210 ��g/g at two sites in the northwestern shelf (Odessa area) with the depth of 11 m and 17 m. Similarly, high concentration was recorded at one station in the Danube Delta (220 ��g/g, 3 m depth) whereas it was 49 ��g/g at another shallower site (12 m depth). In the Bosporus vicinity the 10 samples were taken at rather deep places with about 80-130 m depth. The TPHs concentration was low and varied from 12 to 76 ��g/g with the average of 38.7 ��g/g. In the Russian part the high content of hydrocarbons 170 ��g/g was finding only at one station with 8 m depth placed near cost. Four other stations were much deeper (25-40 m) and the hydrocarbons pollution of bottom sediments reduced to 7.6 ����� 53 ��g/g with mean 22.9 ��g/g.

SOE 2009 image

Fig. 3.1.6. Total Petroleum Hydrocarbons distribution in the bottom sediments of coastal area of the Black sea in September-December 1995 [8].

The petroleum hydrocarbons pollution of bottom sediment were sampled at shallow coastal stations with the depth less then 12 m as well as Odessa and Dnieper Deeps below 20 m in 1988-1999 [11]. At the slope of Dnieper Deep, the TPHs concentration varied in a range 1600 - 2000 ��g/g dry weight close to the Odessa city, but apart from the ports it was slightly less as 800 ����� 1700 ��g/g. The Odessa and Yuzhny ports could be considered as a most important source of petroleum pollution. Beside this, the spectrum size of bottom sediment highly influenced on the TPHs level. The maximum numbers were recorded in the central part of the Odessa Deep in the fine clay sediments where the concentrations reached 3400 ����� 5700 ��g/g. At the same time, the minimum was 300 ��g/g only in the sandy sediments close to the coast.

The other set of monitoring data from 169 samples received in the northwestern shelf during 1992-1999 [2]. The maximum reached 825.0 ��g/g while the average value for the whole set was 114.8 ��g/g. The highest pollution was recorded in sediments of the Danube delta region ����� the average for 29 samples reached 210 ��g/g, next was the Dniestr Lagoons outlet area with 169 ��g/g for 23 samples. In the Dniepr-Bug Lagoon area the average of 6 samples was 133 ��g/g. The mean concentration in the Odessa area close to the ports of Odessa, Illiechevsk and Yuzhny was 100 ��g/g for 63 samples. The pollution level was, on the other hand, much lower (15.0 ��g/g) in the central part of the shelf away from the main sources of pollution. After 2000, no data were available for petroleum hydrocarbons in bottom sediments along the Ukrainian coast.

Along Romanian coast the petroleum hydrocarbons in sediments were not sampled until 2005. In the period of April-October 2005, the concentration in bottom sediments of shallow parts of the Romanian coast (depths less 20 m) varied in a very large range from 25,6 to 11736,7 ��g/g. The maximum was noted in June close to Constanta at the site of 5 m water depth. The two other very high values of 6729 and 10090 ��g/g were recorded there in April and October, respectively. The concentrations at all other stations were significantly less with an average value 389.7 ��g/g for 68 samples. The spatial distribution was rather uniform (Table 3.1.10). A very high level was recorded near the main harbor Constanta. A slightly increasing level of petroleum hydrocarbons pollution was noted in the Danube Delta and near the village Vama Veche in the south. In general, the Romanian bottom sediments could be considered as highly polluted by petroleum hydrocarbons. The average level for whole coastal line exceeded almost 8 times the concentration of Netherlands standard for bottom sediments, Permission Level 50 ��g/g [7]. The average data for each part of the Romanian coast also was few times higher then 1 PL (Table 3.1.10).

Table 3.1.10. The mean concentration of TPHs (��g/g) and number of measurements within monitoring programme in the different sites of Romanian coast in 2005.

  DanubeDelta Mamaia ConstantaNorth ConstantaSouth Eforie Sud Costinesti Mangalia Vama Veche
Mean 339.2 273.6 221.5 4484.4 231.2 291.9 258.3 499.5
Number of samples 10 13 5 8 8 11 8 8

In June 2006 four samples were taken along the transect off Constanta at depths 14, 36, 45 and 53 m. Total content of petroleum hydrocarbons in the bottom sediments did not exceed 74.4 ��g/g and the average was only 33.7 ��g/g for all four samples with minimum 6.6 ��g/g. Those data are highly different from almost 100 times higher values recorded in 2005. It could be explained by spatial heterogeneity of bottom sediment pollution depending from many factors.

The only petroleum hydrocarbons pollution monitoring of bottom sediments in Turkish coastal area was performed in April and September-October 2005. In April the level of TPHs was low and varied from 1.6 to 233.2 ��g/g in the western part of the Turkish coast. The maximum reached 38.7 ��g/g only, at stations with 12-51 m water depth in the vicinity of Sakarya River. However, near the town Zonguldak, the pollution level drastically increased up to the extremely high number of 11999.1 ��g/g at a site with 13 m water depth, 9025.0 ��g/g at 50 m and 475.5 ��g/g at 100 m water depth. The bottom sediments from Cide to Fatsa in the eastern part were relatively clean with mean value of 165.0 ��g/g for 16 stations placed at the depth range of 9-111 m. The minimum here was 2.3 ��g/g, maximum reached 793.7 ��g/g and was noted for the deepest station near Cide. The mean for 15 stations of the eastern part was 234.7 ��g/g and maximum was 2512.4 ��g/g near Pazar. In general, at 40 sites along the Turkish coast sampled in April 2005 the mean value was 700.3 ��g/g. Almost ten times lower values were recorded in October 2005 with the mean of 77.4 ��g/g for the 63 stations. The maximum was 1016.5 ��g/g near Zonguldak.

According to forecasts the volume of oil and oil product transportation through Georgian ports is estimated to be about 50-60 million tonnes per year in 2010-2015. Intense development of marine infrastructure is expected to aggravate current complex ecological state of the marine ecosystem of the sea for which oil pollution is the most dangerous. Within the frame of the international project on the ���œStudy of the background ecological status of the Eastern part of the Black Sea along the coast of Georgia����, the concentration of petroleum hydrocarbons in the bottom sediments was determined during 2000. Samples of bottom sediments were taken from 75 stations on the Georgian shelf at the depth range from 10 to 1500 m. A gradually decreasing petroleum hydrocarbon concentration was observed along the topographic slope down to the depth of 200 m. The average concentration for the sites with depths less than 50 m was 26.9 ��g/g, from 50 to 100 m - 19.5 ��g/g, and from 100 to 200 m - 11.4 ��g/g. High content of petroleum hydrocarbons was detected in the bottom sediments of the Poti harbour area, 35.3 ��g/g on the average. In the bottom sediments to the north of the Batumi harbour, the concentration of petroleum hydrocarbons also increased up to 17.7 ����� 21.7 ��g/g, on the average 10.5 ��g/g. Apparently, flows of sediments contaminated with petroleum products moved from the Batumi area northwards. In the gorge of the Natanebi River petroleum deposits and oil manifestations, petroleum hydrocarbons content was measured at 152.7 ��g/g.

Method used for identification of petroleum hydrocarbons was enabled to identify not only the groups of petroleum products, but the approximate time of oil spills as well [5,6,7]. The TPHs in the bottom sediment was of different origin and differed in terms of light and heavy fractions. Latest spills were mostly found in the regions of Batumi and Poti harbours as well as between estuaries of Khobi and Tsivi Rivers. Their origin was the man-made pollution due to the impact of ports and terminals. In the deep stations starting from the depth of 200 m, concentration of TPHs increased which may likely be due to re-deposition of petroleum products absorbed on the clay particles transported from the coastal water to the deep water area. At the same time, anoxic conditions prevented biogenic degradation of the hydrocarbons.

Table 3.1.11. The concentration of TPHs (��g/g) and other physical and chemical parameters of the bottom sediments of the Georgian part of the Black Sea in June 2006 [9].

Region TPHs (��g/g) EOM (mg/g) Total Organic Carbon, TOC (%) Grain Size Fines, <65.5 ��m (vol%) Total PAHs (ng/g) Total HCHs (pg/g ) Total DDTs (pg/g) Total PCBs (pg/g)
Batumi 6.1 0.031 0.13 42.55 145.1 318 496 864
Kobuleti 202.2 0.43 0.65 54.71 27384.8 1118 16550 4000
Natanebi 76.7 0.45 1.59 79.76 3944.5 1634 5090 6200
Supsa 70.3 0.18 1.66 75.86 4074.6 1336 3679 4320
Poti 15.6 0.042 0.24 9.92 710.3 664 1269 1445

In June 2006, at five sites at 60 m water depth along Georgian coast in vicinity of Batumi, Kobuleti, Poti and estuaries of the Natanebi and Supsa Rivers, the maximum was recorded near Kobuleti and reached the level 202.2 ��g/g [9]. The minimum was 6.1 ��g/g near Batumi and mean value was 74.2 ��g/g. The concentration of extracted organic matter (EOM) in the bottom sediments varied between 0.03 and 0.45 mg/g and, in general, the high concentration of TPHs is correlated with the high EOM content. The same correlation was also evident with the grain size of bottom sediments. The coarse ground had less concentration of petroleum hydrocarbons (Table 3.1.11). Majority of fine sediment near estuary Natabeni and Supsa was not heavily polluted by hydrocarbons and could not be regarded as ���œhot spots����.

Prior to 2000, high content of hydrocarbons (170 ��g/g) was found only at one coastal station at 8 m depth in Russian coastal waters. At other deeper stations (25-40 m) the hydrocarbons pollution was in the range of 7.6 ����� 53 ��g/g with mean 22.9 ��g/g [8]. In December 2000, the southern part of the Russian coast from the town Gelendzhik to the village Adler (8 stations placed at 26-41 m water depth) was characterized by the minimum concentration level of 10.7 ��g/g (measured at the traverse of estuary Chyhykt River close to Lasarevskoe). The maximum reached 117.0 ��g/g at the traverse of the Sochi harbour. The average was 32.8 ��g/g.

In June-July 2002, monitoring of the TPH pollution level of sediments showed drastic differences to south of Taman. The aliphatics fraction reached the level of 45-84 ��g/g and aromatics 35-62 ��g/g in deep parts, while they had only 5-9 ��g/g and 2 ��g/g, respectively, in shallow stations. The 10-20 fold differences could be the result of size spectrum of bottom sediment particles, which is much smaller in the deep zone with active sedimentation.

In August 2004, the concentration of total petroleum hydrocarbons in the bottom sediments in the southern part of the Russian coast, between the rivers Hosta and Shapsukho near Tuapse, varied in a very wide range from 11.9 to 2840.0 ��g/g with the average of 394.4 ��g/g. Two most extreme values were registered in the shallow estuaries of the rivers Tuapse (2840.0 ��g/g) and Sochi (1400.0 ��g/g) at 6-7 m water depth. Without these extremes, the average value still remained very high (221.8 ��g/g, more then 4 PL [7]) and demonstrated a rather wide spreads of petroleum pollution along southern and central part of Russian coast. In estuaries of the Hosta and Sochi Rivers of the southern zone 2, the mean was 227.0 ��g/g. The mean concentration near villages Loo, Lazarevskoe and the Shahe River at the depth about 40-60 m, on the other hand, was much lower with a value 28.5 ��g/g. Slightly to north, the pollution of bottom sediments by TPHs was below 1 MAC at all points at the distance 2 nm from the coast and depth 40-60 m up to the Shapsukho River.

In general, the TPHs pollution level in coastal bottom sediments can be divided into two groups: the offshore stations at more than 2 nm away from the coast located at depths 40-60 m and inshore shallow stations. The average level for the offshore sites was 31.3 ��g/g and the variation was only from 11.9 to 74.1 ��g/g. The inshore group contained the shallow estuaries of the Sochi River with the mean 481.0 ��g/g, and estuary of the Tuapse River with the mean 787.0 ��g/g. The difference in petroleum hydrocarbons concentration up to 10-20 times in inshore and offshore regions is evident and should be related to large volumes of municipal and manufacturing waste from two large cities and the discharges from two rivers.

The investigations of bottom sediments pollution by petroleum hydrocarbons in the northern part of Russian coast were carried out in October 2004. Inside the Gelendzhik Bight the concentration of TPHs in the bottom sediments was 61.2 ��g/g. Significantly higher values between 122.0 ��g/g were measured near the pear in Sheskharis and 1900.0 ��g/g in the western part of Novorossiysk harbor. The mean value was 911.0 ��g/g. An opposite situation was observed in the Anapa Bight slightly to north. Two samples from the 5 m water depth showed only 5.0 and 88.0 ��g/g TPHs concentrations therefore much lower than the southern parts. Similar moderate values (59.5 ��g/g) were received in bottom sediments of the port Kavkaz in the Kerch Strait at the point of 6 m depth.

In July 2005, several samples were collected in the southern part of the Russian coast from the River Sochi up to the village Dzankhot in the north near Gelendzhik. All samples were taken at the depth 30-50 m slightly away from the shore. The concentration was rather moderate and varied in the narrow range from 35.3 to 88.0 ��g/g with the average value of 54.0 ��g/g. The only station in the shallow estuary of the River Mzumta (9 m depth) showed the maximum recorded level.

Summary: During the last 10 years, the mean concentration of petroleum hydrocarbons in the bottom sediments of coastal parts of the Black Sea varied from very low level up to high value of about 0.8 mg/g (Table 3.1.12). Usually in the most sites of the coast the average concentration was about 1 PL (50 ��g/g, [7]) but several maxima exceeded this threshold 13-16 times. Those extremely polluted sites are placed in Romania, Turkish and Russian waters, close to the main sources of TPHs, namely large ports, oil refinery or oil terminals for transportation. The maximum values around 12 mg/g were recorded at Romanian and Turkish coasts at the very shallow depths and most likely represented fresh oil spills in 2005. Due to high patchiness of oil distribution in the sea such occasional extreme values are expected.

Table 3.1.12. Maximum and mean concentration of TPHs (��g/g) in the bottom sediments of the Black Sea in 1995 ����� 2006.

 Project  Year  Region  Max. value Max. Depth�� (m) Mean (Depth <20 m) Mean (Depth >20 m)  Mean
Screening 1995 Crimea 310.0 11 116.2 4.7 71.6
Screening 1995 Russian 170.0 8 170.0 22.9 52.3
Screening 1995 Bosporus 76.0 107 - 38.7 38.7
Research 1988-1999 Ukraine 5700.0 - - - -
Monitoring 1992-1999 Ukraine 825.0 - - - 114.8
Monitoring 2005 Romania 11736.7 5 775.4 - 775.4
BSERP 2006 Romania 74.4 36 6.6 42.8 33.7
Monitoring 04.2005 Turkey 11999.1 13 2078.1 457.2 700.3
Monitoring 10.2005 Turkey 1016.5 51 84.0 76.4 77.4
Research 2000 Georgia 152.7 88 19.0 19.0 19.0
BSERP 2006 Georgia 202.2 60 - 74.2 74.2
Research 2000 Russia 117.0 41 - 32.8 32.8
Research 2002 Russia 144.0 70 - 60.5 60.5
Research 2003 Russia 152.0 50 25.5 96.3 36.7
Monitoring 08.2004 Russia 2840.0 7 646.0 31.3 394.4
Monitoring 10.2004 Russia 1900.0 15 671.0 122.0 625.2
Monitoring 2005 Russia 88.0 9 88.0 49.1 54.0

TPHs concentrations in the bottom sediments decreased with increasing depth; i.e. towards offshore (Table 3.1.12). The average level of concentrations was usually highest at depths shallower than 20 m. Some uncertainties came from the sampling strategy; i.e. due to different number of sampling in each site. Irregular and often patchy sampling in many parts of the sea greatly limited a better evaluation of the TPHs pollution. In many cases, the pollution assessment was made on the basis of only few samples of bottom sediments taken during the last 10 years or even none at all. The further monitoring program is much desired for more reliable description of bottom sediments pollution by petroleum hydrocarbons especially in vicinity of main oil sources.

3.2. The State Of Chlorinated Pesticides

Alexander Korshenko

State Oceanographic Institute, Moscow, RUSSIA

Sergei Melnikov

Regional Centre ���œMonitoring of Arctic����, Sankt-Petersburg, RUSSIA

3.2.1. Water

The pesticides investigation in the Black Sea waters significantly differs from the petroleum hydrocarbons studies. Due to low concentration of chlorinated hydrocarbons in the marine water this parameter was not included into the measurements list neither during the international IAEA Cruise of the RV "Professor Vodyanitskyi" in 11-20 September 1998, nor in the second IAEA cruise of the RV "Professor Vodyanitskyi" during 22 September ����� 11 October 2000 [1]. The main source of the information on the pattern of pesticides distribution was provided by the national scientific and monitoring programs.

177 water samples were collected for chlorinated hydrocarbon measurements in the surface layer of shallow waters of the North-Western part of the Black from 1988 to 1999 [2]. In general, the level of pesticides was low. The average concentration of lindane (γ-HCH) was 0.48 ng/l (Table 3.2.1). The data varied within the range from analytical zero to 4.0 ng/l. The DDT and its metabolites DDE and DDD had a slightly higher level ����� average 1.08 ng/l with the range 0.0 ����� 14.4 ng/l; 0.55 ng/l (0.0 ����� 5.4 ng/l); 0.38 ng/l (0.0 ����� 6.3 ng/l), respectively. Important point is to note the predominance of DDT in comparison with its metabolites. It suggests a more recent and ongoing water pollution in the studied area. The method of liquid-gas chromatography applied at the end of this monitoring period allowed to identify very low concentrations of some other chlorinated pesticides like hexa-chlorbenzene, aldrin and heptachlor. Their average and maximum concentration in 1999 was 0.26 and 4.18 ng/l for hexa-chlorbenzene, 0.22 and 3.12 ng/l for aldrin, 0.01 and 0.22 ng/l for heptachlor, respectively.

57 samples analysis were taken for pesticide analysis in Romanian coastal waters during April, July and October 2005 within the framework of national monitoring program [3]. The stations were placed along Romanian coastline at shallow sites at depths less than 20 m. The pesticides concentration of the DDT group exceeded the detection limit of the method used (DL = 0.001 ng/l) only in 18 water samples. The maximum 14.75 ng/l total concentration of DDT group was recorded in April near Mangalia close to beach at 5 m depth isobath. Individual concentration of DDT there was 6.95, DDD 5.91 and DDE 1.89 ng/l. The DDT level exceeded the detection limit, DL, only in this one sample, and the DDT was not registered in other cases. Except this outstanding sample, DDD was recorded 5 times with an average 0.32 ng/l and the maximum 1.01 ng/l. DDE exceeded the DL 17 times. Its average was 0.12 ng/l and the maximum 0.47 ng/l.

Among pesticides of the HCH group, the lindane (γ-HCH) was found rather often in all places along the Romanian coast and in the Danube Delta. Its concentration exceeded the DL (0.001 ng/l) in 34 samples. The average of all samples was 0.064 ng/l and the maximum reached 0.3 ng/l in July near Costanesti. The average for samples where concentration of γ-HCH was higher than its DL was 0.108 ng/l.

No data were available to make an assessment of water pesticides pollution along the Bulgarian, Turkish and Georgian coasts. These pollutants were not included into routine national monitoring programs.

Water samples were collected along the Russian coastal waters from 23 May 2002 to 23 November 2006. Investigations were performed within the frame of national monitoring program. In May, October and November 2002, 48 water samples obtained in the southern region close to the city Sochi showed no pesticides concentration above the DL which seems to be rather unrealistic and suggest either false sampling or measurement. These monitoring data were thus excluded from the analysis. The same also applies for the February 2003 data set.

The September-October 2003 samplings were performed as a part of the ���œAero visual monitoring program���� and covered the southern and central parts of the Russian coast between the Cape Inal close to Dzubga [3]. The average of total DDT concentration was 0.84 ng/l and varied within range of 0.17-3.26 ng/l (Table 3.2.1). Maximum concentrations of total DDTs, as well as 2.30 ng/l for DDT and 0.96 ng/l for DDE were recorded in the near bottom layer at a shallow station (8 m depth) close to the village Novaja Matsesta in the Sochi region. The next highest total DDTs values of 2.20 ng/l and DDT of 1.36 ng/l were also recorded in the upper layer at the same station.

The spatial distribution of total DDTs group pesticides was rather uniform. The average for different zones of coastal waters was almost the same: for zone 2 ����� 0.81 ng/l, for zone 3 ����� 0.89 ng/l, zone 4 ����� 0.83 ng/l. The vertical variations were also small; the average for samples taken above 20 m depth horizon was 0.89 ng/l and slightly higher than 0.74 ng/l below 20 m. See Fig. 3.1.3 for the locations of these zones.

Among different DDTs forms and metabolites, the dominant role belonged to 4,4-DDT with the average for the whole set of data 0.42 ng/l and maximum 2.00 ng/l. The average and maximum of 2,4-DDT were 0.06/0.30 ng/l; metabolites 2,4-DDE ����� 0.04/0.27 ng/l; 4,4-DDE ����� 0.30/0.84 ng/l; 2,4-DDD ����� 0.00/0.18 ng/l; 4,4-DDD ����� 0.01/0.36 ng/l. This structure of group concentration suggests rather ���˜fresh����� DDT pollution of marine coastal waters in the region.

Table 3.2.1. Maximum and average concentration of pesticides (ng/l), and number of observations (in parantheses) in marine waters of the Black Sea in 1992 ����� 2005.

Project Year Region γ-HCH Α-HCH β-HCH HCH total DDT DDE DDD DDT total HCB* Other
Monitoring[2] 1992-1999 Ukraine 4.0/0.48(177) - - - 14.4/1.081(77) 5.4/0.55(177) 6.3/0.38(177) - 4.18/0.26(?**) 3.34/0.23(?**)
Monitoring[3] 2005 Romania 0.3/0.064(57) - - - 6.95/0.12(57) 1.89/0.07(57) 5.91/0.13(57) 14.75/0.32(57) - -
IAEA Cruise [1] 09.1998 Western Black Sea - - - - - - - - - -
IAEA Cruise [1] 09.2000 Eastern Black Sea - - - - - - - - - -
Monitoring[3] 2005 Bulgaria - - - - - - - - - -
AeroVisual Monitoring 2003 Russia 2.33/0.23(40) 2.32/0.39(40) 3.88/2.70(40) 6.50/3.31(40) 2.30/0.48(40) 0.96/0.34(40) 0.36/0.02(40) 3.26/0.84(40) 0.32/0.06(40) 0.86/0.26(40)
AeroVisual Monitoring 07-08.2004 Russia 3.60/0.14(80) 0.59/0.11(80) 4.99/3.14(80) 7.21/3.38(80) 1.28/0.17(80) 0.39/0.04(80) 0/0(80) 1.66/0.21(80) 0.28/0.06(80) 0.18/0.01(80)
AeroVisual Monitoring 10.2004 Russia 0.19/0.13(100) 0.20/0.12(100) 3.42/2.74(84) 3.76/2.85(100) 0/0(84) 0.34/0.05(84) 0/0(84) 0.34/0.05(84) 0.11/0.09(84) 0/0(84)
AeroVisual Monitoring 07.2005 Russia 0.35/0.16(59) 0.68/0.43(59) 6.81/3.98(59) 7.80/4.55(59) 0.64/0.15(59) 0.23/0.02(59) 0.77/0.08(59) 1.29/0.20(59) 0.14/0.07(59) 0.18/0.09(59)PCB

Notes: The bold number exceed the 1 MAC = 10 ng/l.
HCB* - hexachlorobenzene,
** - the only samples treated in 1999.
0.18/0.09/59PCB - pentachlorobenzene, maximum, average and number of samples.

The total HCH concentration was much higher than DDT and varied from 2.12 to 6.50 ng/l; the average for 40 samples was 3.31 ng/l. The highest concentrations of 6.50 and 5.78 ng/l were recorded in shallow places with 6-8 m depth close to villages Novaja Matsesta and Nizne-Nikolaevka situated between Hosta and Sochi where DDT pollution was also highest. Similar to DDT the spatial distribution of these pesticides was rather uniform. The average was 3.49 ng/l in the second zone; 2.98 ng/l in the third zone; 3.47 ng/l in the fourth. The average was 3.36 ng/l for shallow stations less than 25 m, and 2.95 ng/l for deeper stations.

Among different forms of HCH, the dominant one with the average level of 2.70 ng/l and maximum 3.88 ng/l was the β-HCH (Table 3.2.1). The lindane and α-HCH had the mean concentrations of 0.23/2.33 ng/l and 0.39/2.32 ng/l, respectively.

Hexachlorobenzene content exceeded the DL = 0.01 ng/l in 19 samples. The average for all studied area was 0.06 ng/l and the maximum reached 0.32 ng/l. Heptachlor had a maximum (0.86 ng/l) in vicinity of Sochi and the average value for all stations was 0.06 ng/l. Aldrin concentration (maximum 0.48 ng/l) was also marked near Sochi. Cischlordane concentration exceeded the DL only in 7 samples, maximum was 0.11 ng/l, cisnonachlor spreaded much wider over the whole area and was registered in 24 samples; the average was 0.14 ng/l and maximum reached 0.40 ng/l at a coastal station close to the village Chemitokvadzhe near Lazarevskoe. The concentration of octachlorstyrene, heptachlorepoxide, transchlordane, transnonachlor, photomirex and mirex did not exceed the DL in all samples.

In the second round of ���œAero visual monitoring programme���� during July-August 2004, 80 water samples were taken within the central and southern parts of the Russian coast. The total DDT concentration exceeded DL=0.05 ng/l in 39 samples and reached the maximum 1.66 ng/l at a station located 2 nautical miles away from the coast off the River Shapsukho mouth close to the town Tuapse. The average for the whole set of samples was 0.21 ng/l. The DDT content was much higher in the central part of coast in the fourth zone (average was 0.34 ng/l), 5 times lower (0.07 ng/l) in the third zone, and slightly higher in the second zone (0.16 ng/l).

Among the forms of DDT group, 4,4-DDT exceeded the DL in 36 samples and reached 0.94 ng/l and the average was 0.14 ng/l. The spatial distribution of 4,4-DDT showed a maximum (average 0.219 ng/l) in the central part of Russian coast (zone 4). It reduced southward to 0.06 ng/l in the zone 3 and was twice higher in the Sochi area (0.11 ng/l). The 2,4-DDT reached maximum 0.54 ng/l but average was as low as 0.03 ng/l. The average content of another form 4,4-DDE, although measured up to 0.39 ng/l, was 0.04 ng/l only. The 2,4-DDE was practically absent and its maximum was only 0.07 ng/l. The concentration of both DDD forms did not exceed DL in all samples.

Similar to previous year, the HCHs concentration was an order of magnitude higher than the DDT group. The maximum of total HCHs reached 7.21 ng/l and average was 3.38 ng/l. The maximum was recorded in the subsurface layer off Tuapse at a distance 7 nm from the coast. In general the HCH was distributed evenly over the investigated area of coastal waters. The averages for three different zones were very close: 3.65 ng/l for the zone 2, 3.05 ng/l for the zone 3, and 3.41 ng/l for the zone 4. Also there was no appreciable difference between the shallow and deep stations; the average was 3.52 ng/l at stations shallower than 20 m, and 3.26 ng/l for deep ones.

The maximum of β-HCH concentrations reached 4.99 ng/l and average was 3.14 ng/l. Much lower concentrations were recorded for α-HCH (0.59/0.10 ng/l) and lindane (3.60/0.14 ng/l). Among other pesticides, hexachlorobenzene was recorded rather often in all places along the Russian coast with the maximum and average concentrations of 0.28, 0.06 ng/l, respectively. Pentachlorobenzene seldom traced in the water column at a maximum concentration 0.18 ng/l. The concentrations of heptachlor, aldrin, octachlorstyrene, heptachlorepoxide, transchlordane, cischlordane, cisnonachlor, transnonachlor, photomirex and mirex did not exceed the DL in all samples.

During 9-19 October 2004, the entire Russian shelf was studied from Sochi in the south and to the Kerch Strait in the north. Among 84 samples of marine waters collected, the concentration of DDE exceeded the DL (0.05 ng/l) only in 25 cases. The average level was 0.05 ng/l. The maximum of DDE (0.34 ng/l) was measured inside the Novorossiysk port. Other forms of this group never exceeded the DL (Table 3.2.1). The HCH was again significantly higher and rather uniform. No special place or patches with high concentration was found. The average for the 100 samples was 2.85 ng/l and they varied within a narrow range from 0.90 to 3.76 ng/l and no single sample was free of these pesticides. The maximum was recorded at station placed at 2.5 miles away from the coast near the village Olginka in the zone 4. The averages for different zones varied between 2.44 and 3.17 ng/l. The mean level of α-HCH for 40 samples was 0.12 ng/l and the maximum was 0.20 ng/l. The corresponding values were 2.74 and 3.42 ng/l for β-HCH and 0.13 and 0.19 ng/l for γ-HCH. The concentrations of other pesticides did not exceed the DL in all samples with the exception of relatively high hexachlorobenzene (0.07 and 0.11 ng/l) measured in two samples from Novorossiysk Bight.

During the 4-18 July 2005 ���œAero visual monitoring���� measurement program, the DDT pesticides were found in low quantities (Table 3.2.1). However, in contrary to the previous investigations, the DDT and DDD were also recorded in the samples. The average and maximum levels of total DDT for the entire Russian coastal stations were 0.20 ng/l and 1.29 ng/l, respectively that exceed the 0.1 MAC level. The pattern of geographical distribution showed decreasing of DDT content in the waters from south to north (Table 3.2.2). The highest concentration was found in near-bottom layer of 50 m deep station in the vicinity of Katkova Szel close to Lazarevskoe (zone 3). DDTs showed a vertically uniform distribution with the equal mean concentration of 0.25 ng/l in the subsurface and near-bottom layers.

Table 3.2.2. The average concentration of chlorinated pesticides (ng/l) in the different zones of Russian costal waters in July 2005.

  Average 2 3 4 5 6 7 8 9
DDT total 0.24 0.43 0.73 0.21 0.18 0.40 0.00 0.04 0.07
HCH total 4.55 4.61 4.79 4.95 5.15 4.91 3.79 4.45 3.08

The concentration of pesticides from HCH group was almost 5 times higher than DDT mainly due to a high contribution of β-HCH (Table 3.2.1). The dominance of this form of HCH could be the sign of old pollution and contrasted with low lindane concentrations with the average 0.16 ng/l and the maximum 0.35 ng/l observed near Cape Codosh close to Tuapse. The concentration of β-HCH reached the maximum level 6.81 ng/l in near bottom waters at 60 m depth close to the Cape Uch-Dere and Dagomys River estuary. Their content in the near-bottom layer was slightly higher than in the surface; 4.26 ng/l and 3.73 ng/l, respectively. The HCH distribution did not exhibit a visible geographical trend. All coastal zones were almost equally polluted by HCH (Table 3.2.2).

The concentrations of chlororganic pesticides heptachlor, aldrin, octachlorstyrene, heptachlorepoxide, transchlordane, cischlordane, cisnonachlor, transnonachlor, photomirex, 1,2,3,4 TCB, 1,2,3,5 TCB, 1,2,4,5 TCB and mirex were lower then their detection limit 0.05 ng/l in all samples. Hexachlorobenzene occured in 11 samples in the range from DL to 0.14 ng/l (Table 3.2.1). Maximum content was measured in the near bottom layer at depth 47 m off the village Ashe in the zone 3. Pentachlorobenzene occurred only in five samples with the maximum 0.18 ng/l in bottom waters at 50 m depth in the vicinity of Cape Codosh in the zone 4.

Summary: The measurements of pesticide concentration in water were performed rather seldom due to their very low concentrations (Table 3.2.1) and in the frame of international monitoring programme on the Black Sea (BSIMAP) their measurements in water were optional as well as in most of the international monitoring programs. Despite the fact that most of the samples practically free from pesticides due to their concentrations below the Detection Limit (0.05 ng/l), some very condense patches were however detected. Their patchiness may be related to unusual physical conditions like stormy weather or large freshwater discharge into the sea after floods. The densest patch was recorded in Romanian coastal waters (along 5 m isobath) near town Mangalia in April 2005. In this sample the BOD5 also low probably due to the stabilization effect of high pesticides concentration on microbiological community. This patch was a local feature since no pesticides were found in the neighboring stations along 20 m isobath.

The results of Russian monitoring programs suggested very low DDT concentrations in marine waters. Their maxima reached 0.1-0.3 MAC. The DDT pollution in southern part of the Russian coastal waters was much higher than the northern part. The HCH content was about 10 times higher mainly because of the accumulation of ���˜old����� β-HCH. Nearly uniform pesticide concentrations in surface and near bottom layers support the idea of their spreading from coastal point sources.

In summary, very low level pesticide pollution was observed in coastal waters in general except some occasional patches with very high pesticides concentrations in different layers. The pollution by pesticides could be considered as an ���˜old����� pollution due to low contributions of DDT and lindane in comparison with its metabolites.

3.2.2. Bottom Sediments and Biota

During the first international cruise in September 1995, 10 samples were taken along the Ukraine coastline from the town Kerch on the eastern side of the Crimea peninsula to the Danube delta on the west (Table 3.2.3). The depths of sampling were in the range from 3 m to 78 m. The bottom sediments around Crimea (sampling sites were Karkinitsky Gulf, Balaklava, Yalta, Feodosiya, Kerch) practically free from the HCH pesticides. Their amount varied from 0.016 to 0.189 ng/g. The strong contrast was observed in sediments from the northern-western shelf. The total concentration of HCH had a minimum 1.25 ng/g, average 1.69 ng/g and maximum 2.25 ng/gin Illichevsk port, Odessa bay and Danube Delta region. Among metabolites, α-HCH and β-HCH were slightly more important than lindane. Hexachlorobenzene (HCB) had a similar spatial distribution with the average 0.221 ng/g, and the maximum 1.300 ng/gwas measured in the Danube Delta.

The DDT had extremely high concentration in the NW Shelf sediments contrary to its absence around Crimea. The maximum of total DDTs concentration reported for Odessa Bay exceeded highest level of the Crimean concentrations more then 110 times (Tabl. 3.2.3).

For the NW Shelf of the Black Sea, the historical data from the period 1992-1999 showed rather low concentrations of g-HCH in the bottom sediments. The average of the data from 182 samples was 0.38 ng/g varying in the range between analytical zero and 4.5 ng/g [2]. This data set showed lindane concentration in zooplankton at an average value of 12.74 ng/g comprising a wide range between zero and 78.92 ng/g. Similar estimation for benthic animals was one order of magnitude lower: with the average of 1.54 ng/g for the range from below the detection limit to 16.2 ng/g (Table 3.2.3). The average concentration of lindane varied within the narrow range of 0.26-0.79 ng/g during 1992-1999 (Table 3.2.3).

The average and maximum concentrations were 2.38, 54.2 ng/g for DDT, 2.65, 54.3 for DDE and 3.08, 48.8 for DDD. They were not significant except in the Danube area where their total average concentration was 20.4 ng/g exceedin the permission level, PL, almost 10 times (Table 3.2.3). Very high level of DDT group was registered in zooplankton organisms, one order of magnitude higher than in sediments. Approximately equal concentrations of DDT and its metabolites appear to indicate a mixture of new and old pollution. In all sub-regions of the NWS the total concentration of DDT averaged over the period 1992-1999 exceeded the PL for bottom sediments.

Table 3.2.3. The average concentration of pesticides in the bottom sediments in the North-Western Shelf of Ukrainian waters, ng/g.

1992-99[2] Odessaregion Dnieper-Bug Dniester Danube Open part of NWS Zoo-plankton Zoo-benthos Suspend-ed matter
g-HCH 0.36 0.47 0.33 0.79 0.26 12.74 1.54 0.23
DDT 1.22 1.24 2.81 6.38 2.14 17.11    
DDE 2.35 1.89 3.19 5.30 1.27 19.1
DDD 1.92 1.16 4.14 8.76 0.56 5.08
DDTtotal* 5.49 4.29 10.14 20.44 3.97   7.01 345.0
DDTtotal2000[1]   2.50   19.57        
DDTtotal2005[3] 18.86 16.52 6.1 6.5 Sevastopol0.53 Kerch0    

- total concentration of DDT and its metabolites (sum of DDT, DDE, DDD).

The bold values show higher than the permission level (PL) according Neue Niederlandische Liste. Altlasten Spektrum 3/95: total of DDT group is 2.5 ng/g, for g-HCH is 0.05 ng/g.

Rather moderate level of the total DDT concentration (2.50 ng/g) measured at two samples of bottom sediments in June 2000 near the Tendra split of the Ukrainian Coast compared well with the previous data (Table 3.2.3). The same also occurred in the Danube region reflecting its traditional high level of DDT pesticides pollution. In the bottom sediments of the Odessa harbor the pesticides measurements in May and October 2004 showed that the g-HCH content varied from 0.12 to 0.17 ng/g of dry bottom sediments, DDT from 2.91 to 3.24 ng/g, DDE from 0.16 to 0.31 ng/g, and DDD from 0.21 to 0.39 ng/g. The important feature was the predominance of the ���œfresh����� pollution, and lower level of metabolites than DDT itself.

In the vicinity of Odessa harbor at the depth 24 m, the sediment core was sampled in 6 October 2003 and then split into 10 samples for the analysis of organic contaminants [18]. The most polluted part by pesticides of HCH group was the upper 9 cm. In this thin layer the average concentration of total HCH was 3,59 ng/g (maximum 5,04 ng/g) whereas it was only 0,42 ng/g (max 0,59 ng/g) within the rest of the core. The average value in the whole column of core was 1,69 ng/g. In general the HCH pollution of bottom sediments here was not too high and agreed with the previous data.

An opposite situation was however noted for the DDT group. These pesticides showed extremely high concentration all around the Black sea. The main feature was a ���œfresh���� character of pollution due to dominance of DDT. In the upper 9 cm its concentration reached the extremely high level of 58000 ng/g. Further below in the sediment core DDT concentration decreased almost 2000 times. The total content of the DDT group attained here 63950 ng/g or 25580 PL according the Neue Niederlandische Liste [7].

During the observation at five stations in 4-19 January 2005, an extremely high concentration of DDT and its metabolites were found in the Odessa harbor (72.83 ng/g). Without this extreme value, the average DDT content was only 3.37 ng/g. At nearby stations (Dnieper and Bug Liman), the DDT concentration was also high, 16.52 ng/g, but about three times lower in the Dniester region to the south. In general, one can note that the concentration of DDT group was relatively low in the Danube region during 2005. In the Sevastopol harbor, the total concentration of DDT was also low.

First extended investigation of bottom sediments pollution by wide spectrum of pesticides in the coastal waters of Romania was done in 1993 by sampling at 15 stations from the Danube Delta to the southern border of Romania [8]. The total concentration of HCH group for 4 stations in the Danube Delta was very high and reached the level of 40.0 ng/g with an average value of 13.15 ng/g. The maximum concentration of 3.02 ng/g was recorded near the port Constanta while the average for the marine stations was 1.48 ng/g only. The lindane (γ-HCH) was widely presented in the bottom sediments, especially in the Danube area. Its averages for Danube and the rest of Romanian coast were 8.63 and 0.65 ng/g, respectively. For α-HCH those numbers were 3.70 and 0.36 ng/g; for β-HCH ����� 0.82 and 0.46 ng/g. Pesticides of DDT group were widely presented in the bottom sediments off Romanian coast in 1993 as well. The total content was very high and reached the level 71.63 ng/g and the average for all fifteen stations was 12.73 ng/g. DDD was the second most abundant after DDT. The most polluted region by DDD was the sediments in the Danube delta (the average 16.5 ng/g, and the maximum 43.1 ng/g) followed by the Constanta port (31.5 ng/g). The average DDT concentration in the Danube delta was 7.08 ng/g and maximum ����� 20.00 ng/g. The concentration of hexachlorobenzene (HCB) varied from analytical zero to 23.00 ng/g. The most polluted region by HCB was, once again, two stations in the Danube delta and two stations near Constanta. Heptachlor, aldrin, dieldrin and endrin occurred mainly in the port Constanta with rather low concentrations in the range 0.17-0.25 ng/g.

Three sediment cores were sampled in the Danube delta and near the Constanta port in autumn 2003 [18]. The average concentration of HCH for the whole column of bottom sediments was 1.55 ng/g. Among single metabolites, lindane was less abundant. Among the sampling sites, the Danube delta was generally found much more polluted by HCH due to its high lipid content. In the Romanian shelf sediments DDTs concentration was very high with the average total content of 25.67 ng/g and maximum 83.80 ng/g. In particular, the DDT pollution in the Danube delta exceeded 10-folds the Constanta area with the respective average values of 29.48 ng/g and 2.94 ng/g. Among different forms of DDT group the DDD dominated wherever DDT had 20.3% from the total.

In April, June, July and October 2005 the average level of total concentration of pesticides from DDT group in 34 monitoring samples of bottom sediments was 0.047 ng/g. In most samples the concentration was rather low and only much higher at five stations. Its maximum was recorded in July at 5 m depth near Constanta Sud where total DDT reached 1.26 ng/g and consisted of 0.79 ng/g DDT, 0.43 ng/g DDD and 0.045 ng/g DDE. The lower values for metabolites could be a sign of ���˜fresh����� pollution. The maximum of lindane concentration (0.98 ng/g) was recorded in April 2005 at shallow place in the vicinity of Sf. Gheorghe in the Danube Delta. The second highest concentration 0.82 ng/g was also recorded during the same period in the Danube Delta near Buhaz and varied between 0.002 and 0.37 ng/g in other stations. The average for the whole data set was 0.13 ng/g.

In June, 7, 2006 during the international cruise ���œMonitoring Survey for the Black Sea ����� 2006����, bottom sediments were sampled along a transect at 1, 10, 20 and 30 nm from the city Constanta. The depth at these points was 14, 36, 45 and 53 m. The total concentration of pesticides of DDT group was rather high and varied between 1.29 and 9.87 ng/g. The highest concentrations (8.71 ����� 9.87 ng/g) were recorded in the central stations while it was much lower (1.29 ����� 1.36 ng/g) near both ends. It could be due to the size spectrum of bottom sediments particles. In the central stations, the percentage of small-size fractions less then 65 ��m was as high as 42-43.4 % while its contribution was only 32 % at other stations. The positive correlation between organic pollutants concentration and increasing the percentage of small particles is well-known.

The Total Organic Carbon (TOC) and Extracted Organic Matter (EOM) contents were also found to be higher at central stations (1.25-1.44 %; 0.110-0.270) with respect to others (0.16-0.61 %; 0.047-0.064 mg/g). Among different forms, the metabolites of DDT took the main role. The average of DDD concentration was 2.82 ng/g, DDE 1.43 ng/g and DDT only 0.46 ng/g. It could be considered as an ���˜old����� pollution by the DDT group. The total HCH concentration in the area near Constanta varied from 0.36 to 2.37 ng/g. As for other pesticides the maximum was recorded in the centre of transect. The mean lindane concentration was only 0.12 ng/g, but β-HCH reached 1.70 ng/g (average 0.77 ng/g) and α-HCH 0.38 ng/g(average 0.17 ng/g). Among other pesticides, the hexachlorobenzene (HCB) occurred in relatively high concentrations up to 0.42 ng/g and the average for four samples was 0.18 ng/g. The others, including cis Chlordane, trans Chlordane, trans-Nonachlor, Heptachlor, Aldrin, Dieldrin, Endrin, Heptachlor epoxide, Methoxychlor, a-Endosulfan, b-Endosulfan and Endosulfan sulfate, all together, did not exceed 0.20-0.22 ng/g. The total concentration of all pesticides in June 2006 was 3.59; 22.77; 22.32 and 3.67 ng/g at four stations at Constanta transect.

No routine monitoring data were available on pesticides concentration in the bottom sediments along Bulgarian coast line. These substances were not included into the national monitoring program. During international cruise ���œAssessment of Marine Pollution in the Black Sea Based on the Analysis of Sediment Cores���� 24-27 September 2003, three sediment cores were sampled in the vicinity of Bourgas, Varna and Cape Kaliakra at 15 m depth [18]. At all stations the upper 10 cm layer of bottom sediments was found to be most polluted by all types of pesticides, but the pollution level significantly decreased at deeper levels. The average total HCH concentration was measured in the upper layer as 1.27 ng/g and the highest value of 2.12 ng/g was spotted near Bourgas. The pollution level in the vicinity of Varna was comparable to Bourgas, but the Cape Kaliakra site attained significantly lower level of HCH content with an average value of 0.21 ng/g. The different forms of HCH contributed to the pollution at an almost similar rate, but the DDT took 37% of total DDTs. The average DDTs concentration in the Varna core was 8.32 ng/g, in the Bourgas area 1.98 ng/g, and reduced to 0.35 ng/g in the Cape Kaliakra site. Among other pesticides cis-chlordane, trans-nonachlor, heptachlor, aldrin and dieldrin had average concentration 0.01 ng/g, and trans-chlordane was twice higher. Almost all concentration of endrin, α-endosulfan, β-endosulfan and endosulfan sulfate was lower then detection limit (0.001 ng/g).

During international cruise in September 1995 in the Bosporus outlet area, 10 samples were taken at depth range 80-131 m [8]. Among DDT group all metabolites were presented almost in equal proportion. The total values reached 7.21 ng/g and the average was 3.54 ng/g. The concentration of pesticides from HCH group were about ten times lower in the studied area. The average level of total content for the group was 0.30 ng/g. Similar to the total DDT, its different forms were in relatively equal concentrations. No hexachlorobenzene pollution was recorded in bottom sediments. From other pesticides only aldrin (maximum concentration 0.18 ng/g) and dieldrin (maximum concentration 0.077 ng/g) were recorded in all samples. Endrin was found in a few samples but reached the maximum concentration 0.25 ng/g in one sample. Heptachlor occurred in two places with negligible amount.

In 15-19 June 2006 during the international cruise ���œMonitoring Survey for the Black Sea ����� 2006���� in vicinity of Georgian towns and rivers Batumi, Kobuleti, Natanebi, Supsa and Poti the bottom sediments were sampled at depth 60 m [9]. The total HCH average concentration for the all sampled sites was 1.01 ng/g. The ratio between metabolites was 1:2.6:7.4 for γ-HCH, α-HCH and β-HCH, respectively. The maximum and minimum HCHs were recorded near Natanebi and Batumi. Similar to other regions, DDTs concentration along Georgian coast was much higher in comparison with HCH. Maximum DDT total concentration reached 16.55 ng/g (6.6 times of the PL) close to Kobuleti. The ratio of metabolites was approximately 1:3:15 for DDT, DDE and DDD. Other chlorinated hydrocarbons were found at lower quantities: HCB (maximum 0.42 ng/g), cis-chlordane (0.04 ng/g), trans-chlordane (0.09 ng/g), trans-nonachlor (0.003 ng/g), heptachlor (0.02 ng/g), aldrin (0.002 ng/g), dieldrin (0.06 ng/g), endrin (0.04 ng/g), heptachlor epoxide (0.02 ng/g), methoxychlor (0.02 ng/g), α-endosulfan (0.02 ng/g), β-endosulfan (0.05 ng/g), endosulfan sulfate (0.05 ng/g).

Along the Russian coast, five samples of bottom sediments were taken from the depth 8 m inside of port Sochi, and 25-40 m from other sites in the area between cities Sochi and Adler close to Georgian border during the December 1995 cruise. The maximum of total content of HCH group was 0.81 ng/g. Among their metabolites the β-HCH dominated. The concentration of γ-HCH exceeded the permission level (PL) for bottom sediments almost two times [7]. The DDTs were much more abundant in the bottom sediments. Their total concentration reached 12.36 ng/g (4.9 PL). In contrary with HCH, in the metabolites structure the DDT played main role and it can be considered as a ���œfresh���� pollution.

Table 3.2.4. The concentration (ng/g) of organic pollutants in biota and bottom sediments along the Russian coast in August-September 2003.

2003 Kerch Strait Anapa Novorossiysk Gelendzhik+Blue Arkhipo-Osipovka Tuapse Lazarevskaya Sochi Adler
HCHtotal 0.14 0.05 0 0.37 1.29 0.75 0.81 0.98 0.94
HCHbiota** 3.11     2.10          
DDT total 0.86 0.33 1.370 8.73* 5.29* 2.04 4.83* 8.40* 5.82*
DDTbiota 0.75     3.74          
Other Pesticides 0.20 0 0 0.10 0.38 0.11 0.31 0.24 0.18
  • The bold value exceeds the permission level (PL) according Neue Niederlandische Liste. Altlasten Spektrum 3/95: Total of DDT group is 2.5 ng/g, for g-HCH is 0.05 ng/g[7].
  • ** biota ����� Bivalvia.

Along the Russian coastline, bottom sediment pollution by organic substances was investigated in the shallow waters in June-July 2003. In the Kerch Strait near the island Tuzla, the concentration of HCH in the bottom sediments was under the detection limit (0.05 ng/g of dry material). Slightly to the south at the anchor place near the Cape Panagia, the concentration of α-HCH (0.05 ng/g) and β-HCH (0.09 ng/g) exceeded the detection limit (Table 3.2.4). At the same time all forms of HCH were 10-20 times higher in the body of bottom invertebrates; α-HCH 0.56 ng/g, β-HCH 1.99 ng/g, γ-HCH 0.56 ng/g (maximum). Not all forms of the DDT group existed in bottom sediments at significant values, but 4,4 DDE (0.60 ng/g) and 4,4 DDD (0.45 ng/g) reached rather high concentrations. This type of pesticides was however found only in a minor level in the body of mollusks in this area.

Other types of chlorinated hydrocarbons, namely heptachlor, aldrin, octachlorstyrene, heptachlorepoxide, trans-chlordane, cis-chlordane, trans-nonachlor, cis-nonachlor, photo-mirex and mirex were not recorded in sediments at this time, even if their heavy agricultural use around the Azov Sea. The only hexachlorobenzene was observed in bottom sediments near the island Tuzla with concentration 0.20 ng/g and few times more in the tissue of the benthic animals ����� 0.79 ng/g.

Slightly to the south along the coastal line (in shallow waters) at the traverse of the Bugaz Lagoon, β-HCH (0.05 ng/g), 4,4 DDE (0.16 ng/g) and 4,4 DDD (0.09 ng/g) were detected. Near the town Anapa only 4,4 DDE (0.22 ng/g) was found in sediments. In the vicinity of harbor Kabardinka, near Novorossiysk, almost all forms of the group DDT were presented in rather significant quantity ����� 2,4 DDE (0.06), 4,4 DDE (0.48), 2,4 DDD (0.24), 4,4 DDD (0.53), 2,4 DDT (0.06 ng/g). Other pesticides were below the detection limit. From two places close to the Gelendzhik Bay and Blue Bay only the latter had a visible content in sediments (α-HCH 0.08 ng/g, β-HCH 0.67 ng/g) and a high level of this group was recorded in the tissues of bottom invertebrates near Gelendzhik Bay: α-HCH 0.57 ng/g, β-HCH 1.44 ng/g, γ-HCH 0.09 ng/g. Again, sediments in the Blue Bay consisted of very high concentrations of DDT group: 2,4 DDE 0.21 ng/g, 4,4 DDE 5.21 ng/g, 2,4 DDD 1.21 ng/g, 4,4 DDD 5.04 ng/g, 2,4 DDT 0.34 ng/g, 4,4 DDT 1.99 ng/g. Maximum total DDT level of 14.00 ng/g was recorded for the whole Russian coast. In the Gelendzhik Bay these pesticides were found approximately at equal levels in bottom sediments and in biota but they were about five times lower than in the Blue Bay. Among other pesticides, only hexachlorobenzene was in relatively significant concentrations in bottom sediments (0.09 ng/g) and biota (0.20 ng/g). A slightly to south along coast in vicinity of the village Arkhipo-Osipovka the content of pesticides in bottom sediments was rather high not only for the groups HCH (α-HCH 0.05 ng/g, β-HCH 1.24 ng/g) and DDT (2,4 DDE 0.09 ng/g, 4,4 DDE 1.60 ng/g, 2,4 DDD 0.58 ng/g, 4,4 DDD 2.64 ng/g, 4,4 DDT 0.39 ng/g), but for also for phenylpolychloride (0.12 ng/g), hexachlorobenzene (0.15 ng/g) and cis-nonachlor (0.11 ng/g).

In shallow waters near the town Tuapse, the concentration of pesticides from the HCH group was not too high, α-HCH 0.08 ng/g, β-HCH 0.67 ng/g. Almost all forms of DDT were marked in bottom sediments with the maximum level 1.85 ng/g for 4,4 DDD. Also minor quantity of phenylpolychloride (0.07 ng/g) and hexachlorobenzene (0.16 ng/g) were found in a single sample. Concentrations of α-HCH (max. 0.14 ng/g) and β-HCH (max. 1.15 ng/g) were not high in the bottom sediments near ���œLazarevskaya����. The DDT group was much higher in 4 samples; the maximum reached 0.08 ng/g for 2,4 DDE, 1.70 ng/g for 4,4 DDE, 1.09 ng/g for 2,4 DDD, 4.40 ng/g for 4,4 DDD, 0.10 ng/g for 2,4 DDT and 0.68 ng/g for 4,4 DDT. The average level exceeded twice the permission level for the bottom sediments. Like in the other parts of the Russian coast, the phenylpolychloride (0.07-0.10 ng/g) and hexachlorobenzene (0.09-0.46 ng/g) were also detected in the samples. For the area around the town Sochi, the concentration of HCH in 5 samples was not high and the variation of the data was very small suggesting a rather uniform spatial distribution in this part of the basin: α-HCH varied from 0.10 to 0.14 ng/g; β-HCH varied from 0.30 to 1.16 ng/g in bottom sediments. Among DDT group, some parts of the area showed abnormally high peaks. For instance, the maximum of 4,4 DDE (3.960 ng/g) and 4,4 DDT (5.100 ng/g) were recorded in the sediments inside of the Sochi harbor. At the same time maximum 4,4 DDD concentration (6.49 ng/g) was recorded in another sample. In general, the DDT was very high in this area and comparable with the Gelendzhik and Blue Bay areas. Among other pesticides the phenylpolychloride (0.07 ng/g) and hexachlorobenzene (0.07-0.71 ng/g) were found at quantities above the detection limit. The part of the area bordering Georgia often considered as highly polluted due to high discharge from the river Mzumta. Nevertheless, the concentration of pesticides was not too high. The content of α-HCH (0.18-0.24 ng/g) and β-HCH (0.58-0.85 ng/g) was similar to other parts of this area. The same also applies for the DDT metabolites with the exception of 4,4 DDD showing a maximum 5.81 ng/g, and consequently total DDT content reached 10.28 ng/g. The hexachlorobenzene was presented in all 4 samples (0.05-0.16 ng/g, average level 0.09 ng/g); phenylpolychloride - only in two (0.17-0.19 ng/g).

The pesticides content in bottom sediments along Russian coast had several main features during August-September 2003. The concentration of g-HCH (lindane) never reached the detection limit in sediments, but this pesticide were found at large quantities in bodies of bottom invertebrates. The other isomers of HCH were widely distributed but never occurred at high quantities; maximum was less 2.00 ng/g. The DDT pesticides occurred more often at high concentration especially in the south. The maximum reached 14.00 ng/g and was beyond the permission level about 3.6 times. The average values for DDT and its metabolites (DDT 1.10 ng/g, DDE 3.07 ng/g and DDD 1.29 ng/g) clearly showed the dominance of metabolites over DDT that suggested an old pollution. Among others pesticides, only hexachlorobenzene and phenylpolychloride were generally observed in minor quantities, and cis-nonachlor and cis-chlordane were detected in bottom sediments only once.

In August and October 2004 the study of bottom sediment pollution was performed along the entire Russian coasts. In comparison with the similar investigations in 2004, a significant increase in the level of pesticides pollution was recorded in bottom sediments of the Novorossiysk, Tuapse and Sochi harbors. The maximum concentration of g-HCH and total DDT reached 0,50 ng/g (9,8 PL) and 155 ng/g (61,9 PL), respectively.

Summary: Among the chlorinated pesticides, the HCHs and DDTs were most important pollutant in bottom sediments of the Black Sea during the last several decades. They both belong to the group of very dangerous chemical substances and their consumption was prohibited long time ago in the Black Sea basin. Nevertheless, their huge amount stored in the agricultural fields or old dilapidated storage places in the past are still the source of pollution today. In the absence of the quality standards for sediment pollution in the Black Sea riparian countries, the Netherlands Permission Levels (PL) for pollutants in the sediments [7] are used as the guidelines of the pollution levels in the Black Sea sediments. The permission level is 0.05 ng/g for lindane and 2.5 ng/g for DDTs total. Based on the Russian standards for the level of Extremely High Pollution (EHP) that is "5 times higher than the level of Maximum Allowed Concentration����, the EHP levels are considered to be 0.25 ng/g for γ-HCH and 12.5 ng/g for DDTs total.

HCH pollution. Maximum lindane concentration exceeded the EHP level practically in all measurements performed during the last 13 years (Fig. 3.2.1). Each country had specific hot spots with very high lindane concentration in sediments due to fresh lindane discharges into the sea. The highest values of 4.5 ng/gin Ukrainian shelf in 1992 and 29.0 ng/g in Romanian coastal area in 1993 were never repeated again despite that highly polluted lindane patches exceeding the EHP level were recorded in Romania (the Danube Delta and port Constanta in 2003, the Danube Delta in 2005), Bulgaria (Varna and Bourgas Bays in 2003), Turkey (Bosporus Outlet in 1995), Russia (Kerch Strait in 2003, Novorossiysk harbor and estuary river Sochi in 2004), and Ukraine (the Danube Delta and Odessa Bay in1995, Odessa Bay in 2003). Maximum concentrations of HCH metabolites were usually comparable with lindane (Table 3.2.5).

SOE 2009 image

Fig. 3.2.1. The maximum concentration of γ-HCH (ng/g) in the different regions of the Black Sea (the maximums 4.5 ng/gin Ukrainian waters 1992 and 29.0 ng/gin Romanian water 1993 are not presented in the figure). The duplication of some years means different seasons of expeditions.

The average γ-HCH concentration was about two-fold lower than its extremes, nevertheless many average data exceed the PL (Fig. 3.2.2 and Table 3.2.6). Based on a rather sparse data set, it is difficult to assess the long-term trend of γ-HCH concentration in sediments of the basin. Taking into account the historical data, it is appropriate to set EHP = 0.25 ng/g as a measure of extremely high local pollution of γ-HCH.

Table 3.2.5. Maximum and mean concentration of pesticides (ng/g), and number of measurements (in parentheses) in the bottom sediments of the Black Sea in 1993 ����� 2006.

Project Year Region γ-HCH α-HCH β-HCH HCH total DDT DDE DDD DDT total HCB* Depth range
Monitoring[2] 1992-1999 Ukraine 4.5/0.38 (182) - - - 54.2/2.38(182) 54.3/2.65(182) 48.8/3.08(182) - - -
Screening[8] 1995 Ukraine,NW Shelf 0.55/0.33(4) 1.10/0.74 (4) 0.90/0.63 (4) 2.25/1.69(4) 20.00/11.74 (4) 4.47/2.56(4) 40.50/23.68(4) 65.0/38.0(4) 1.30/0.54 (4) 3-17 m
Screening[8] 1995 Ukraine,Crimea 0.027/0.016 (6) 0.048/0.015 (6) 0.14/0.038 (6) 0.19/0.07(6) 0.002/0.01(6) 0.28/0.13(6) 0.38/0.18(6) 0.59/0.31 (6) 0.024/0.01(6) 6-78 m
Monitoring 2000 Ukraine - - - - - - - 19.6/11.0(2) - 18-23 m
Screening [18] 2003 Ukraine(0-9 cm) 0.82/0.55(4) 0.56/0.43 (4) 3.90/2.60(4) 5.04/3.59(4) 58000/16224(4) 2840/815(4) 3110/1155(4) 63950/18194(4) 0.42/0.34(4) 24.0
Screening [18] 2003 Ukraine(9-36 cm) 0.48/0.31(6) 0.09/0.06(6) 0.08/0.05(6) 0.59/0.42(6) 29.60/8.58(6) 5.20/1.55(6) 6.90/2.77(6) 41.7/12.9(6) 0.33/0.20(6) 24.0
Monitoring 2004 Ukraine, Odessa 0.17/-(-) - - - 3.24/-(-) 0.31/-(-) 0.39/-(-) - - -
Monitoring 2005 Ukraine - - - - - - - 72.8/12.4(10) - 2-23 m
Screening[8] 1993 Romania 29.00/2.78(15) 8.60/1.25(15) 2.40/0.56(15) 40.00/4.59(15) 20.00/2.43(15) 8.53/2.28(15) 43.1/8.02(15) 71.6/12.7(15) 23.00/2.28(15) -
Screening [18] 2003 Romania 0.94/0.37(27) 2.10/0.50(27) 2.00/0.71(27) 5.04/1.55(27) 41.20/5.20(27) 7.00/2.61(27) 57.00/17.86(27) 83.80/25.67(27) 22.00/1.87(27) 14-18 m
Monitoring 2005 Romania 0.98/0.13(34) - - - 0.79/0.03(34) 0.05/0.004(34) 0.43/0.014(34) 1.26/0.047(34) - 0-20 m
Screening [9] 2006 Romania 0.24/0.12(4) 0.38/0.17(4) 1.70/0.77(4) 2.37/1.08(4) 0.89/0.46(4) 2.78/1.42(4) 5.10/2.82(4) 9.87/5.31(4) 0.42/0.18(4) 14-53 m
Screening [18] 2003 Bulgaria 0.81/0.23(28) 0.42/0.18(28) 0.90/0.32(28) 2.12/0.74(28) 5.23/1.08(28) 3.9/1.24(28) 7.0/1.87(28) 14.0/4.18(28) 10.00/0.94(28) 15.0-15.8 m
Screening[8] 1995 Turkey 0.79/0.14(10) 0.21/0.09(10) 0.22/0.07(10) 1.10/0.30(10) 1.54/1.15(4) 2.85/1.49(7) 4.32/2.03(10) 7.21/3.54(10) 0.25/0.09(10) 80-131 m
Screening [9] 2006 Georgia 0.13/0.09(5) 0.41/0.23(5) 1.10/0.67(5) 1.63/1.01(5) 0.89/0.41(5) 2.78/1.10(5) 13.3/3.35(5) 16.55/5.4(5) 0.42/0.17(5) 60 m
Screening[8] 1995 Russia, Sochi 0.09/0.05(5) 0.19/0.15(5) 0.56/0.36(5) 0.81/0.57(5) 8.69/3.43(5) 2.74/1.60(5) 5.56/2.86(5) 12.36/7.8(9)(5) 0.26/0.08(5) 8-40 m
Aero-Visual Monitoring 2003 Russia** 0.56/0.03(25) 0.57/0.13/25 1.99/0.68(25) 3.11/0.83(25) 5.73/0.71(25) 5.42/1.25(25) 7.88/2.82(25) 14.0/4.78(25) 1.26/0.20(25) 6-100 m
Aero-Visual Monitoring 2004August Russia 0.41/0.04(22) 1.07/0.20(22) 1.57/0.64(22) 3.06/0.88(22) 25.87/4.84(22) 10.97/2.98(22) 72.79/9.53(22) 89.0/17.34(22) 1.30/0.43(22) 6-68 m
Aero-Visual Monitoring 2004October Russia 0.49/0.07(12) 0.44/0.15(12) 0.89/0.40(12) 1.63/0.63(12) 28.43/11.89(12) 40.24/9.38(12) 120.13/28.9(12) 154.7/50.17(12) 0.89/0.30(12) 5-25 m
Aero-Visual Monitoring 2005July Russia 0.11/0.04(8) 0.32/0.15(8) 0.69/0.41(8) 0.86/0.59(8) 2.07/0.82(8) 7.20/3.24(8) 8.82/3.96(8) 18.09/8.01(8) 0.50/0.25(8) 9-52 m

HCB* - hexachlorobenzene

Russia** - averaged for all Russian coastal waters in 2003.

Table. 3.2.6. The repetitions of high γ-HCH concentration in the bottom sediments exceeds the PL 0.05 ng/g in the different sets of samples (in per cent).

Project Year Region Max γ-HCH (ng/g) Average γ-HCH (ng/g) γ-HCH > PL 0.05 ng/g(%)
Screening 1995 Ukraine, NW Shelf 0.55 0.33 100
Screening 1995 Ukraine, Crimea 0.027 0.016 0
Screening 2003 Ukraine (0-9 cm) 0.82 0.55 100
Screening 2003 Ukraine (9-36 cm) 0.48 0.31 100
Screening 1993 Romania 29.0 2.78 100
Screening 2003 Romania 0.94 0.37 100
Monitoring 2005 Romania 0.98 0.13 41.1
Screening 2006 Romania 0.24 0.12 75
Screening 2003 Bulgaria 0.81 0.23 100
Screening 1995 Turkey 0.79 0.14 50
Screening 2006 Georgia 0.13 0.09 80
Screening 1995 Russia, Sochi 0.09 0.05 50
Monitoring 2003 Russia 0.56 0.03 4
Monitoring 2004 Russia, Southern 0.41 0.04 22.7
Monitoring 2004 Russia, Northern 0.49 0.07 50
Monitoring 2005 Russia 0.11 0.04 50

 

 

DDT pollution. Similar to the HCH group, maximum concentration of the DDTs group in sediments exceeded the EHP level of 12.5 ng/g practically at all regions of the Black Sea (Fig. 3.2.3). Enormously high pollution (63950 ng/g) in the Odessa area in 2003 can only be explained as an accidental event. Nevertheless, other sites in coastal zones around the Black Sea were also highly polluted by DDTs. Those ���œhot spots���� are - Danube Delta, Odessa Bay and Illichevsk port (1995), Danube River mouth (2000), Odessa Bay (2003), Odessa and Uzhnui ports, Dniepr and South Bug Mouth (2005) in Ukraine; the Danube Delta, port Constanta and Sinoe (1993), Sf.Gheorghe and Sulina (2003) in Romania; ����� Varna (2003) in Bulgaria; Kobuleti (2006) in Georgia; Sochi port and Adler Canyon (1995), Sochi harbour, Sochi river estuary, Tuapse river estuary, Loo village, Blue Bight (Gelendzhik), Novorossiysk harbor (2003) in Russia (Fig. 3.2.4).

SOE 2009 image

Fig. 3.2.2. The repetition factor of exceeding of PL by average concentration of γ-HCH (ng/g) in the bottom sediments of different regions of the Black Sea. The outstanding 2.78 ng/gin Romania 1993 is not presented in the figure. The duplication of some years means different seasons of expeditions. The Permission Level is 0.05 ng/g.

SOE 2009 image

Fig. 3.2.3. The maximum concentration of pesticides DDTs group (ng/g) in the bottom sediments of different regions of the Black Sea (the maximum 63950 ng/gin Ukrainian waters 2003 is not presented in the figure). The duplication of some years means different seasons of expeditions. Total number of analyzed bottom sediments samples is 217.

SOE 2009 image

Fig. 3.2.4. The ���œhot spot���� sites in the coastal zone of the Black Sea with total DDTs concentration in sediments exceeding the level of Extremely High Pollution (12.5 ng/g) level during 1993-2006.

Table. 3.2.7. The repetitions of high DDTs concentration in the bottom sediments exceeds the PL 2.5 ng/g in the different sets of samples (in per cent).

Project Year Region Max DDTs (ng/g) Average DDTs (ng/g) DDTs > PL 2.5 ng/g(%)
Screening 1995 Ukraine, NW Shelf 64.97 37.97 100
Screening 1995 Ukraine, Crimea 0.59 0.31 0
Monitoring 2000 Ukraine 19.57 11.03 100
Screening 2003 Ukraine (0-9 cm) 63950 18194 100
Screening 2003 Ukraine (9-36 cm) 41.7 12.9 83.3
Monitoring 2005 Ukraine 72.83 12.40 40
Screening 1993 Romania 71.63 12.73 100
Screening 2003 Romania 83.8 25.67 77.8
Monitoring 2005 Romania 1.26 0.05 0
Screening 2006 Romania 9.87 5.31 50
Screening 2003 Bulgaria 14.03 4.18 46.4
Screening 1995 Turkey 7.21 3.54 70
Screening 2006 Georgia 16.55 5.37 60
Screening 1995 Russia, Sochi 12.36 7.89 100
Monitoring 2003 Russia 14.03 4.18 64.0
Monitoring 2004 Russia, Southern 89.0 17.34 81.8
Monitoring 2004 Russia, Northern 154.71 50.17 83.8
Monitoring 2005 Russia 18.09 8.01 87.5

 

High level of pollution by pesticides from DDTs group in bottom sediments are also clearly evident in the data set consisting of 222 samples since 1995. Almost all samples collected in the coastal zone around the Black Sea showed total concentration of pesticides of DDT group higher than 50% of the Permission Level. The relatively low concentrations in sediments around the Crimea peninsula should be related to their low level discharges from local rivers into the sea, even though the usage of pesticides in grape and wine manufacturing is common in the region. Along the Russian coast with highly developed wine industry (e.g. Gelendzhik region), the pollution by DDTs pesticides in general much higher. When the entire data set was taken into account, 61.3% of samples contained the DDTs concentration comparable with its PL level of 2.5 ng/g (Table 3.2.7).

As a conclusion, practically the entire coastal waters around the sea contained a very high level of DDTs pollution in bottom sediments without any clear indication of reduction in such highly dangerous anthropogenic pollution.

Other pesticides were close to their detection limits for all costal zones of the Black Sea, except rather high concentrations of hexachlorobenzene in sediments along the Romanian and Bulgarian coasts (Table 3.2.7). It could be clear the absence of worries concerning different marked in the bottom sediments usually. The content of these modern chlorinated pesticides in the Black Sea therefore contradicted with high concentration of lindane and DDT.


3.3. The State Of Trace Metals

���������� Alexander Korshenko

State Oceanographic Institute, Moscow, RUSSIA

Yury Denga

Ukrainian Scientific Centre of the Ecology of Sea, Odessa, UKRAINE

B.Gvakharia and Nino Machitadze

���œGamma����, Tbilisi, GEORGIA

Andra Oros

National Institute for Marine Research and Development, Constanta, ROMANIA

3.3.1. Ukrainian sector of the Black Sea - Northwestern region

Water: The most recent trace metals measurements in Ukrainian coastal waters were performed within the framework of the marine ecological monitoring programme in December 2004-January 2005. These measurements clearly indicated a low level trace metal pollution in coastal waters. The trace metal contents at all measurement sites were typically one or two order of magnitude below the Maximum Allowed Concentration (MAC) accepted for Ukrainian waters (Table 3.3.1).

According to the earlier measurements conducted during 1995-2000, trace metal concentrations in different marine waters of the northwestern Black Sea were also found to be rather low. These concentrations represented the sum of the dissolved and suspended forms due to the conservation of samples aboard by nitric acid. A summary of the trace metal levels are provided below.

Cadmium: The contamination of marine waters by cadmium could be evaluated as insignificant since its concentration was persistently 30-50 times lower than the MAC value in all investigated regions, except the dredged materials dumping site close to Odessa where maximum cadmium concentration near the bottom reached 0,56 ��g/l in 1999 (Fig. 3.3.1).

SOE 2009 image

Fig. 3.3.1 Concentration of cadmium (��g/l) in Ukrainian marine waters in 1995-2000.

Mercury: Like cadmium, mercury concentration did not exceed 0.1 MAC (Fig. 3.3.2) except the damping sites where it was roughly 0.2 MAC.

Lead: Maximum lead concentration of 17.0 ��g/l exceeded 1 MAC level by 1.7 times only at the Waste Waters Treatment Plant (WWTP) site of the town Illiechevsk in 2000 (Fig. 3.3.3). In other regions of the Black Sea, concentration in marine waters varied mainly in the range 0.5-2.0 ��g/l with slightly higher values in the Danube discharge region (3.1 ��g/l) and Dnieper- South Bug lagoon (5.2 ��g/l).

Table 3.3.1. The trace metals concentration (��g/l) in Ukrainian waters of the Black Sea in December 2004 - January 2005 (25th cruise of R/V ���œVladimir Parshin����).

No of station Areas Hg Cd Co Cu Pb Zn As Fe
MAC (��g/l) 0,1 10 5 5 10 50 10 50
1 External raid of Odessa port 0,012 0,06 <0,5 3,0 5,8 11,3 1,8 <50
3 Waste waters discharge ���œNorth���� in Odessa 0,012 0,09 <0,5 1,0 9,3 7,1 1,6 <50
4 Mouth of port Yuzhny in Odessa Bay <0,010 <0,05 <0,5 1,8 1,7 2,0 2,0 <50
6 Mouth of Dnieper -Bug lagoon <0,010 <0,05 <0,5 2,0 1,9 5,8 1,2 <50
8 Odessa shallows <0,010 <0,05 <0,5 0,6 2,5 3,5 1,5 <50
10 Odessa shallows <0,010 <0,05 <0,5 0,9 <1,0 2,1 1,6 <50
11 Place of damping <0,010 <0,05 <0,5 0,4 <1,0 1,4 2,0 <50
12 Waste waters discharge ���œSourth���� in Odessa 0,011 0,08 <0,5 2,0 <1,0 2,8 1,4 <50
13 Mouth of port Illiechevsk in Odessa Bay <0,010 0,08 <0,5 0,7 <1,0 0,5 1,9 <50
14 Place of damping <0,010 0,15 <0,5 2,1 1,7 3,8 2,2 <50
15 Mouth of Dniestr lagoon <0,010 <0,05 <0,5 0,7 <1,0 7,4 1,2 <50
24 Centre of Northern-Western shelf <0,010 0,07 <0,5 2,3 <1,0 2,1 <1,0 <50
30 Mouth of Danube (north) <0,010 <0,05 <0,5 1,7 1,2 4,9 1,4 <50
56 Cup Tarkhankut in Crimea <0,010 0,06 <0,5 0,7 <1,0 5,4 2,0 <50
60 Yalta <0,010 <0,05 <0,5 0,3 <1,0 1,7 <1,0 <50
73 Kerch Strait (centre) <0,010 <0,05 <0,5 0,7 <1,0 2,5 1,2 <50
75 Kerch Strait (exit) <0,010 <0,05 <0,5 1,3 <1,0 4,1 1,4 <50
SOE 2009 image

Fig. 3.3.2 Concentration of mercury (��g/l) in Ukrainian marine waters in 1995-2000.

SOE 2009 image

Fig. 3.3.3. Concentration of lead (��g/l) in Ukrainian marine waters in 1995-2000.

Zinc: Concentration of zinc higher then 1 MAC was observed in the dumping area (145 ��g/l) and the Illiechevsk WWTP site, where the maximum concentration (823 ��g/l, more than16 MAC) was measured in 2000 (Fig. 3.3.4). In comparison with other areas, zinc concentration attained slightly higher values of 20 ��g/l and 30 ��g/l in the Danube and Dniepr estuaries, respectively.

Copper: In four of the total 11 measurement sites, copper concentration in marine water was higher then 1 MAC. These sites are as follows: near Odessa WWTP ���œSouth���� (1.4 MAC), damping site (1.6 MAC), Dnieper and Bug estuarine zone (5.0 MAC) and the Illiechevsk WWTP (30 MAC) (Fig. 3.3.5).

Arsenic: Concentration of this metal in marine waters was insignificant and did not exceed 1 MAC. In comparison with other places, the arsenic content was slightly higher in the Danube estuarine waters and in Karkinitsky Gulf (Fig. 3.3.6).

SOE 2009 image��

Fig. 3.3.4 Concentration of zinc (��g/l) in Ukrainian marine waters in 1995-2000.

SOE 2009 image��

Fig. 3.3.5 Concentration of copper (��g/l) in Ukrainian marine waters in 1995-2000.

SOE 2009 image��

Fig. 3.3.6 Concentration of arsenic (��g/l) in Ukrainian marine waters in 1995-2000.

Chromium. Chromium concentration was below 1 MAC level at all measurement sites with the highest concentration of 2.8 ��g/l in the Danube discharge area and 1.0 ��g/l in the Odessa damping site and the WWTP ���œSouth���� site (Fig. 3.3.7).

SOE 2009 image��

Fig. 3.3.7 Concentration of chromium (��g/l) in Ukrainian marine waters in 1995-2000.

In summary, higher metal concentrations were observed mostly in coastal areas with clear anthropogenic influence from the main land-base sources. They were, however, lower than the MAC levels. In the open areas of the Black Sea, they were close to their natural background values.

Bottom Sediments: The current data on metals concentration in the bottom sediments in the Ukrainian coastal zone of the northwestern Black Sea were obtained during the R/V ���œVladimir Parshin���� cruise in December 2004-January 2005. In contradiction with marine waters, bottom sediments often showed a rather high level metal pollution with maximum concentrations measured in the Danube discharge region (Table 3.3.2). Even though mercury content, known to be the most toxic metal, never exceeded the Permission Level (PL), it increased significantly close to the Odessa port, the vicinity of Danube estuarine zone, and the Crimean cities Sevastopol and Alushta. Cadmium concentration varied in the range from 0.1 PL to 0.7 PL measured in the Danube discharge region. A similar distribution was also noted for cobalt where data from different sites varied between 3.1 and 12.1 ��g/g (0.2-0.6 PL).

On the contrary, copper concentration in bottom sediments, in general, was high and exceeded the PL in 8 cases; close to the Odessa port (82 μg/g), the dumping site, the Danube discharge area, and the vicinity of Crimean towns Sevastopol, Balaklava, Yalta and Alushta. The average for the Ukrainian shelf was 26.36 μg/g. Lead concentration varied in the range of 5.2-46.2 μg/g, and the average was 20.92 μg/g. This level was significantly less than the threshold. Zinc concentration exceeded the PL more than twice in the dumping place and only slightly in the Danube estuarine region. The North-Western shelf was not found to be polluted by arsenic. Its content was high only near Crimea and in the Kerch Strait. Pollution of bottom sediments by chromium exceeded the PL at several sites. Maximum level of metal pollution was noted for nickel. Its content varied from 7.0 up to71.7 μg/g with an average value of 31.06 μg/g. Its concentration therefore was higher than its PL in 16 cases from 39 samples (41%).

Table 3.2. The trace metals concentration (��g/g) in the bottom sediments of Ukrainian part of the Black Sea in December 2004 - January 2005 (25 cruise of R/V ���œVladimir Parshin����).

N of station Areas Hg Cd Co Cu Pb Zn As Cr Ni Al*
PL (��g/g) [7] 0.3 0.8 20 35 85 140 29 100 35 n.a
1 External raid of Odessa port 0.150 0.49 7.3 81.9 26.2 117 9.00 164 27.0 28900
3 Waste waters discharge ���œNorth���� in Odessa 0.037 0.20 3.1 6.30 5.20 38.0 6.20 12.4 7.0 5640
4 Mouth of port Yuzhny in Odessa Bay 0.034 0.41 8.1 34.8 25.4 97.6 11.4 63.8 43.6 30300
6 Mouth of Dnieper - Bug lagoon 0.034 0.35 4.7 19.8 12.1 61.7 5.70 40.0 9.2 21600
8 Odessa shallows 0.038 0.42 6.5 31.2 30.3 78.1 1.5 67.4 35.4 27300
10 Odessa shallows 0.50 5.3 27.9 18.9 59.9 6.50 71.6 15.7 30600
11 Place of damping 0.020 0.25 8.2 19.7 16.5 64.1 7.30 72.6 17.7 38900
12 Waste waters discharge ���œSourth���� in Odessa 0.098 0.38 7.2 31.8 24.8 97.3 6.00 89.5 28.0 27600
13 Mouth of port Illiechevsk in Odessa Bay 0.056 0.34 6.4 28.8 22.3 88.8 14.4 135 37.8 28200
14 Place of damping 0.063 0.39 7.5 39.7 29.7 302 10.2 71.8 29.5 33500
15 Mouth of Dniestr lagoon 0.021 0.12 3.1 4.60 8.00 29.7 2.80 32.0 10.6 12600
24 Centre of Northern-Western shelf 0.020 0.10 3.0 8.87 9.87 22.0 3.4 13.4 20.1 6540
29 Mouth of Sasyuk lake 0.094 0.28 6.7 30.8 29.1 92.7 15.7 69.2 36.9 30600
30 Mouth of Danube (north) 0.067 0.17 4.7 9.60 10.8 34.8 2.60 26.6 16.0 18800
34 Mouth of Danube (north) 0.250 0.52 9.6 54.2 37.3 144 10.4 108 60.6 45600
35 Mouth of Danube (south) 0.283 0.58 10.6 71.6 46.2 177 16.1 120 71.7 53000
39 Mouth of Danube (east) 0.048 0.15 6.1 16.2 18.1 51.6 9.00 46.7 21.0 23900
40 Mouth of Danube (east) 0.025 0.09 3.1 8.48 9.10 24.5 6.40 22.0 14.2 16600
41 Mouth of Danube (east) 0.042 0.10 3.9 11.1 11.7 30.8 6.20 24.6 14.8 15400
42 Mouth of Danube (east) 0.041 0.16 3.2 12.2 11.3 26.6 5.30 18.1 11.7 12200
43 Mouth of Danube (east) 0.058 0.14 5.4 15.1 13.0 46.8 7.80 38.2 23.4 19700
44 Mouth of Danube (east) 0.049 0.21 7.4 24.6 18.8 67.8 12.2 68.8 34.6 29800
45 Mouth of Danube (east) 0.064 0.20 5.5 18.3 18.1 56.4 12.2 41.8 19.7 23300
46 Mouth of Danube (east) 0.142 0.37 9.2 35.4 44.2 115 20.4 88.2 47.7 30000
47 Mouth of Danube (east) 0.042 0.18 5.4 20.4 13.2 58.6 13.1 45.9 33.5 18500
49 Mouth of Danube (east) 0.038 0.16 5.3 16.9 6.10 35.5 10.1 20.2 22.2 9460
54 Karkinitskiy Gulf 0.020 0.16 3.3 12.3 17.5 44.2 6.40 52.3 44.5 26800
56 Cup Tarkhankut in Crimea 0.030 0.16 5.8 30.2 28.1 76.9 5.30 53.1 30.1 31400
57 Mouth of port Sevastopol 0.136 0.24 8.1 39.7 24.1 97.0 25.2 77.5 42.1 53400
58 Mouth of port Balaklava 0.085 0.20 7.8 38.6 32.0 101 24.0 81.5 41.1 50800
60 Yalta 0.072 0.17 9.2 37.6 27.4 110 13.9 86.0 55.3 35000
61 Alushta 0.205 0.14 10.5 35.6 32.0 120 31.5 106 46.2 62200
62 Feodosia 0.075 0.20 9.1 34.7 24.0 108 14.8 94.1 45.4 50200
69 Kerch Strait (centre) 0.019 0.13 6.5 8.60 14.6 61.6 6.40 81.0 14.5 25600
70 Kerch Strait (centre) 0.020 0.08 6.0 4.70 11.4 42.1 10.5 81.6 17.0 25600
71 Kerch Strait (centre) 0.028 0.09 6.0 6.80 10.2 53.5 45.2 49.3 15.2 17900
73 Kerch Strait (centre) 0.086 0.22 11.9 31.9 25.2 113 15.6 97.2 51.5 53200
74 Kerch Strait (centre) 0.060 0.27 12.1 33.7 26.2 120 22.2 108 48.7 64400
75 Kerch Strait (exit) 0.059 0.32 10.8 33.5 27.0 118 10.6 106 50.3 51200

* - Aluminum used only as indicator of fine fraction of bottom sediments

n.a ����� not available

 

Trace metal concentrations in bottom sediments of the Phyllophora field occupying the central part of the northwestern shelf was monitored during July-August 2007 (26th cruise of R/V ���œVladimir Parshin����). This data set indicated low level of mercury, cadmium, lead, arsenic and chromium pollution (Table 3.3.3). Nickel concentration exceeded the PL in 75% of the samples and reached the maximum 92.1 ��g/g. Copper concentration was also above PL in 50% of the samples but the level of pollution wasn�����t too high. Cobalt and arsenic in bottom sediments were detected in moderate levels, mostly below the PL.

In general for the Ukrainian coastal zone not too much cases of high pollution of bottom sediments were noted during last 10 years. The copper and chromium pollutions were wide spread over the NWS (Fig. 3.3.8a,b). High chromium concentration was also found along the Crimea coast. Over the last decade the tendency of decreasing of maximum mercury and cadmium concentration in the Danube region were noted. No appreciable level of lead pollution was registered in bottom sediments.

3.3.2. Russian sector of the Black Sea - Northeastern region

Bottom Sediments: Metal concentration measurements in bottom sediments performed in June-July 2002 to the south of Taman showed large variations irrespective of sampling depths at 20m, 40m, 70m, and 100m (Table 3.3.4). Minimum concentrations of aluminum, vanadium, chromium, manganese, nickel, copper and arsenic were measured at 40 m depth. The opposite case occurred at 70 m depth where these elements attained maximum values, except manganese. Lead concentration increased to nearly 7.6 μg/g along the shore at 20m depth. The cadmium was below the detection limit at all sites.

SOE 2009 image
��SOE 2009 image

Figure 3.3.8. The high copper and chromium concentration (��g/g) in the bottom sediments of Ukrainian part of the Black Sea.

 

 

Table 3.3.3 The trace metal concentration (��g/g) in the bottom sediments of Phyllophora field and NW Shelf of the Black Sea in July-August 2007 (26 cruise of R/V ���œVladimir Parshin����).

    Hg Cd Co Cu Pb Zn As Cr Ni
    PL (��g/g) [7]
Number�� of stations Depthm 0.3 0.8 20 35 85 140 29 100 35
2 32 <0.001 0.02 0.92 1.60 3.60 5.3 0.98 4.30 7.5
39   0.043 0.30 8.13 34.8 28.9 73.7 6.90 41.4 46.2
45   0.039 0.33 12.2 44.0 37.0 96.2 8.00 55.1 55.9
75   0.020 0.17 4.90 12.7 10.2 35.3 4.00 13.1 24.2
84 44 0.023 0.29 7.92 27.5 19.4 57.2 5.90 25.2 41.6
142 39 0.033 0.31 11.2 27.4 19.9 80.3 8.80 32.3 49.0
157 39 0.032 0.27 10.4 22.6 26.2 66.2 5.30 29.2 35.4
177   0.088 0.31 11.0 37.3 37.4 166 8.00 53.3 67.7
221 50 0.080 0.29 22.8 46.9 32.1 99.2 22.1 46.7 92.1
234 66 0.028 0.22 15.6 38.7 38.2 104 17.6 52.4 62.3
246 32 0.127 0.46 17.4 38.0 18.6 95.7 9.70 52.8 71.2
262 1000 0.095 0.50 14.6 38.2 20.7 70.7 9.80 58.2 54.4

Table 3.3.4 Metal concentration (μg/g) in bottom sediments measured during June-July 2002 to the south of Taman.

Depth, m Al V Cr Mn Ni Cu Zn As Cd Pb
20 2184 128,4 47 661 28,6 53 31,06 7,25 0 7,6
40 876 54 27 163,5 5,5 38 30,08 2,02 0 4,3
70 3206 293 64 377,5 44 92 56,28 4,47 0 0,6
100 1488 115,2 42 255 32,2 79 25,61 5,35 0 5,0

3.3.3. Georgian sector of the Black Sea - Southeastern region

Bottom Sediments: Concentrations of Fe, Mn, Cu, Zn, Cr, V, Ni, Pb, Mo were measured in 186 samples of bottom sediments during 1993-1995 at shallow areas (3-15 m depth range) of the Georgian shelf.�� Additional trace metal measurements (Fe, Al, Cu, Zn, Cr, As, Ba and Pb) were performed in 2000 [19, 23, 24, 25]. 170 samples from 75 stations of the sea were collected throughout the entire Georgian shelf covering the depth range from 10 to 1500 m. A summary of these measurements is provided in Table 3.3.5.

Table 3.3.5. The metals concentration (μg/g) in the bottom sediments of Georgian shelf in 1993-1995 and 2000.

  Cr Mn Cu Zn As Pb
1993-1995
min/max 10/1300 700/9300 40/900 60/300 - 7,0-48
Average 215 1937 50 136 - 17,7
2000
min/max 40/700 - 20/325 60/260 5,0/95 7-50
Average 81 - 81 102 15 20

Copper and Zink: High concentrations of Cu (325 μg/g) and Zn (260 μg/g) were found in bottom sediments collected from shallower depths near the estuary of Chorokhi River in response to the wastes discharged from mining enterprises in Murgul and Artvin regions of Turkey, in the immediate proximity of the boundary with Georgia and from Meria (Adjaria) within the Georgian sector. They however decreased to the north. In sediments of the underwater slope of Kolheti lowland, Cu and Zn were distributed evenly at their background levels ranging from 20 to 45 (the average: 30 μg/g) for Cu and from 62 to 170 (the average: 110 μg/g) for Zn.

Arsenic: The distribution of arsenic in the shallow bottom sediments within Adjara section of underwater slope was analogous with distribution of Cu and Zn. Arsenic was introduced as a part of the sulphide minerals discharged into the sea together with other chalcophilic elements from the mining regions of Georgia and Turkey.

Chromium: This metal was distributed unevenly in bottom sediments. It mainly accumulated in sediments of the Chakvistskali-Supsa inter-mouth region with maximum concentrations 700 μg/g in the estuarine regions of the Chakvistskali and Natanebi Rivers. The main carriers of chromium are dark minerals (magnetite, biotite, pyroxene), the rock-forming minerals of the volcanic ores of basic composition (basalts, andesites, porphyrites, tuffs, tuff breccias, etc.) by the small rivers of the region (Korolistskali, Chakvistskali, Choloki, Natanebi, Supsa) [20]. In contrast to the copper and zinc, accumulation of chromium is natural, since it is not connected with any anthropogenic action. The difference between 1995 and 2000 was mainly related to the difference in sampling depths.

Lead: Lead was distributed evenly throughout the Georgian shelf. The maximum concentration did not exceed 50 μg/g, minimum was 7 μg/g, and the average for all Georgian shelf was 18 μg/g that corresponded to the local background level. Situation has not changed since mid-1990s.

Barium: High content of barium in bottom sediments was mainly confined into coastal zone of the Georgian shelf. The maximum concentration (in the limits of 0.1-0.2%) was found in the region between the Chorokhi River mouth to Batumi. Its distribution was related to the products of weathering of the barites- polymetallic layers of the South Caucasus, transported to the sea by the Chorokhi River. Accumulation of barium was also observed in the estuary sediments of Kintrishi River (0.05-0.1%). In coastal regions of the West Georgia, metamorphic geological formations containing clay minerals (in particular zeolites), rich in barium, were found. Possibly, that terrigenous material was enriched by above mentioned minerals, which explains comparatively high content of barium along the coast.

Aluminium: Being one of the basic rock-forming elements, aluminium constituted 2% to 7.5% of sediments of the Georgian shelf which are found at higher proportions in the area of Kolkheti lowland. On the average, in the northern part of the Georgian shelf, aluminium content was 3-4% higher than in south because of gradually increase of clay fractions in sediments in the northwards direction.

Iron: Coastal region of the shelf located in the inter-mouths of Korolistskali, Chakvistskali, Kintrishi, Natanebi and Supsa Rivers was characterized by high content of iron (>11%). These rivers drain the western extremity of Adjara-Trialeti folded system and carry the products of red sol crust weathering into the sea. High content of iron is related with the dark minerals (magnetite, black mica, etc.) [21, 22]. In this region, high content of iron coincided with high content of chromium, which pointed to their common source. Within the limits of Kolkheti lowland, iron content varied from 3% to 5% in sediments of the underwater slope.

Manganese: In sediments from Chorokhi River estuary to the town Kolkheti, Mn distribution was practically homogeneous and equal to the natural background level from 0.07 to 0.27% with 0.13% on the average. This level corresponds to Mn concentration in the red-colored soil of coastal zone of Adjaria and Gurii. In the area between Natanebi and Supsa Rivers, thickness of this type of soil is maximal and the discharge into the sea is therefore most intensive. To the north of the Supsa estuary, Mn content in sediments increased stepwise up to 0.93%, on the average 0.25%. It came into the sea in a large volume with suspended solids and particles of the Rioni River waters. In 1950-to-80s, Mn content in river particles was as high as 5.0-5.9%, and reached 5.0-14.8% level in sediments close to the northern branch of Rioni. That was however decreased to 0.3% in 1995. The decreasing Mn content in the Rioni discharge depends upon reduction of activity at the Chiature mining factory.

3.3.4. Romanian sector of the Black Sea ����� Western region

The investigations carried out in 2000�����2005 on trace metals levels in water and sediments along the Romanian coastal zone evinced the following mean values and ranges:

Seawater (total concentrations): copper 14.09 ��g/l (1.46 ����� 27.31 ��g/l); cadmium 2.15 ��g/l���� (0.27 ����� 4.60 ��g/l); lead 11.58 ��g/l (1.03 ����� 30.04 ��g/l); nickel 4.23 ��g/l (0.65 ����� 8.74 ��g/l); chromium 5.28 ��g/l (1.50 ����� 12.23 ��g/l); manganese 17.01 ��g/l (2.72 ����� 36.58 ��g/l); zinc 9.06 ��g/l (0.40 ����� 26.98 ��g/l).

Sediments: copper 61.83 ��g/g dw (18.71 ����� 134.35 ��g/g dw); cadmium 1.81 ��g/g dw (0.37 ����� 3.35 ��g/g dw); lead 55.52 ��g/g dw (15.71 ����� 107.35 ��g/g); nickel 32.24 ��g/g dw (4.30 ����� 89.05 ��g/g dw); chromium 12.01 ��g/g de (3.01 ����� 23.34 ��g/g dw); manganese 185.13 ��g/g dw (78.90 ����� 399.67 ��g/g dw); zinc 117.90 ��g/g dw (26.98 ����� 181.63 ��g/g dw).

 

SOE 2009 image

Fig. 3.3.9. Trace metal average values (2000 ����� 2005) in seawater along Romanian littoral

SOE 2009 image

Fig. 3.3.10. Trace metal average values (2000 ����� 2005) in sediments along Romanian littoral

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Fig. 3.3.10. (cont�����d) Trace metal average values (2000 ����� 2005) in sediments along Romanian littoral

Trace metals distribution in seawater and sediments along the Romanian littoral during 2000�����2005 presented a wide range of concentrations, under the influence of natural and anthropogenic factors. Strong impact of human activities was reflected, for instance, in the increased values of some metals in harbour sediments (Constanta Port). In comparison with the central sector of the littoral (Mamaia Bay) and the southern extremity, that were characterized by moderate�� values, in front of the Danube mouths higher concentrations of metals were measured, both in water and sediments. (Fig. 1B;�� Fig. 2).

Acknowlegments. The authors are grateful to the Secretariat of Black Sea Convention for providing the data collected for riparian countries used for this assessment. Special thanks to the personnel who were involved with sampling at sea and their analysis, particularly those working in ���œTyphoon���� in Obninsk, O. Mjakoshin and Y. Yurenko in Sochi Hydrometeorological Centre, and Vakhtang Gvakharia (Georgia).

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9. BSERP-2006 Cruise Report

10. Modern state of the Black sea waters pollution. Ed. Simonov A.I., Ryabinin A.I. ���œSeas project����, Vol.IV, Black Sea, Issue 3, Sevastopol, ���œEKOSI-Hydrophysika����, 1996, 230 p.

11. Savin P.T., N.F. Podpletnaya. Comparative characteristics of oil pollution of the nearshore and open areas of Odessa Region. ����� Problems of the sea coastal zone management and sustainable development. Abstracts of XXII International Coastal Conference, Gelendzhik, 16-20 May, 2007, 278-280.

12. Geoecology of shelf and coasts of Russian seas. Ed. N.A.Aibulatov. ����� M.: Noosphere, 2001, p. 314-316.

13. The list of fishing norms: maximum allowed concentations (MAC) and as a guide safe levels of influence (OBUV) by harmfull substances for the waters of basins having fishery importance. ����� Moscow, VNIRO, 1999, 304 p.

14. Patin S.A. Ecological problems of oil and gas resources development on the marine shelf. ����� M.: VNIRO Publishing, 1997, p. 131-140.

13. Mityagina M., O. Lavrova & T. Bocharova. Detection and Discrimination of Sea Surface Films in the Coastal Zone of Northeastern Black Sea Using SAR Data. ESA-ed.:, vol.1: ESA-SP-636, 2007.

16. Shcherbak S.S., O.Y. Lavrova, M.I. Mityagina, T.Y. Bocharova, V.A. Krovotyntsev, A.G. Ostrovskii. Multisensor satellite monitoring of seawater state and oil pollution in the north-eastern coastal zone of the Black Sea. International Journal of Remote Sensing. 2008. (in print).

17. Lavrova Olga, Marina Mityagina and Tatiana Bocharova, Satellite monitoring of sea surface state of Russia�����s coastal zone of the Black and Azov Seas // The 2nd International Workshop on Advances in SAAR Oceanography from Envisat and ERS Missions, January 2008, EASA-Esrin, Frscati, Italy.

18. Black Sea 2003 Cruise. Contaminant screening. Project Technical Report. Monaco, April 2004, 44 p.

19. Manual for the Geochemical analyses of Marine Sediments and Suspended Particle Mater. Reference Methods for Marine Pollution Studies. No. 63. UNEP 1995.

20. Machitadze N., V. Gvakharia, A. Tvalchrelidze (2001). Vanadium and chromium content in present sediments of Georgian sector of the Black sea. - Bull. of Georg. acad.of Sci., 164, No 3, p. 501-503.

21. Machitadze N., M. Tvalchrelidze, V. Gvakharia (2001). Particularities of geochemical zones formation in the sediments of south-eastern sector of the Black sea Georgia. - Bull. of Georg. acad.of Sci., 163, No 2, p. 297-300.

22. Gvakharia V.G., N.O. Machitadze, A.G. Tvalchrelidze (2002). Distribution Cu, Zn, Mo and Fe in contemporary marine sediments of the Georgian sector of Black sea. - A. Janelidze Geological Institute, Proceeding, New Series, Vol. 117, p. 424-429.

23. USEPA Method 418.1, TNRCC Method 1006.

24. Gvakharia V.G., Gelashvili N.E., Gvakharia T.A., Adamia T.M., Janashvili N.D., Maisuradze G.B. (2004). Method for determination of petroleum hydrocarbons and the study of pollution level of bottom sediments within the Georgian section of the Black Sea water area. - Georgian Engineering News, №2, p. 108-110.

25. Gvakharia V., Tsitsishvili V., Maisuradze G., Gelashvili N., Loria Kh., Girgvliani D. (2002). Use of Chromatography in Ecological Audit of Water Areas and Neighboring Territories of Bleak Sea coast of Georgia. - Second West Ukrainian Symposium on Adsorption & Chromatography, p. 151-155.

CHAPTER 4 THE STATE OF RADIOACTIVE POLLUTION (V. Egorov et al.)��

V.N. Egorov, S.B. Gulin, N.Yu. Mirzoyeva, G.G. Polikarpov, N.A. Stokozov

The A.O. Kovalevsky Institute of Biology of the Southern Seas, NASU, Sevastopol,Ukraine

G.V. Laptev, O.V. Voitsekhovych

Ukrainian Hydrometeorological Institute, Kiev, Ukraine

��A.I. Nikitin

SE SPA ���œTyphoon���� of Roshydromet, Obninsk, Russia

Chapter co-ordinator: I. Osvath,

�� Marine Environment Laboratories, International Atomic Energy Agency, Monaco

4.1. Introduction

Due to its geographical location and limited water exchange with the rest of the World Ocean, the Black Sea has been one of the marine basins most contaminated with artificial radioactivity. Anthropogenic radionuclides originated primarily from two sources: the large-scale atmospheric nuclear weapons tests carried out before 1963 and the Chernobyl Nuclear Power Plant accident in April 1986 (Buesseler and Livingston, 1996). The Black Sea received relatively high levels of atmospheric deposition from nuclear weapons testing, the global fallout reaching its maximum in the 40o-50oN latitude band (UNSCEAR, 2000), which runs across the Black Sea. The Chernobyl accident further led to direct contamination by fallout on the sea-surface. Secondary contributions from the deposition of radionuclides released to the atmosphere on the drainage basin entered the sea through river discharges, principally through the Danube and Dnieper Rivers (Livingston et al., 1988; Polikarpov et al., 1992). 137Cs and 90Sr are the most significant radionuclides reaching the Black Sea from these sources, due to their inventories, half-life and dosimetry. Additional relatively long-lived (e.g. Pu isotopes, 241Am) or short-lived radionuclides (e.g. 95Zr/95Nb, 103Ru, 106Ru, 110mAg, 125Sb, 131I, 134Cs, 140Ba/140La, 141Ce, 144Ce) have been reported and were traceable to the above-mentioned sources. There is no official record and no environmental evidence of radioactive waste dumping into the Black Sea (IAEA, 1999) as an additional pollution source. Monitoring of 137Cs and 90Sr in water, sediment and biota and significant research on marine radioactivity were carried out in the Black Sea since the early 1960s. In the period 1986-2005, within the framework of various international and national field campaigns and monitoring programmes, the Black Sea riparian countries collaborated in numerous studies. The present chapter provides an overview of these studies and assesses recent levels of radioactive pollution.

4.2. Concentrations and inventories of radionuclides in the water column

The regionally-averaged vertical profiles of 137Cs and 90Sr concentrations for the central deep basin (Fig. 4.1) indicate a three layer structure formed by high-concentrations in the surface mixed layer, decreasing concentrations in the gradient layer, and low concentrations in the deep layer underneath. This structure has evolved by the progressive penetration of radionuclides to greater depths and the decrease in surface concentrations.

 

SOE 2009 image
SOE 2009 image

Fig. 4.1. Vertical distributions of 137Cs (on top) and 90Sr (below) concentrations in the Black Sea central basin in 1986-2000 (circles), curve-fitted profiles (solid lines) and average levels of 137Cs concentration in the 0-200 m layer and 90Sr in the 0-50 m layer before the Chernobyl NPP accident (dashed lines) (Stokozov and Egorov, 2002)

The atmospheric fallout deposited on the surface of the entire Black Sea during the first days of May 1986 was estimated at 1700-2400 TBq of 137Cs, which corresponded to nearly 2% of the total 137Cs release into the environment following the Chernobyl NPP accident (Nikitin et al., 1988; Polikarpov et al., 1991; Egorov et al., 1993). Shortly after the accident, the 137Cs inventory in the surface 0-50 m layer reached 2700 TBq, exceeding its pre-Chernobyl value by a factor of 6-10. This inventory decreased abruptly to 1600 TBq in 1987 and then more gradually to around 500-600 TBq in 1998-2000 and 350��60 TBq in 2001-2004 (Fig. 4.2). The 137Cs input of 26 TBq from the Danube and the Dnieper Rivers over the period 1986-2000 was negligible in comparison with the direct contribution of atmospheric fallout (Voitsekhovych, 2001). The outflow of 137Cs through the Bosporus Strait was 250 TBq over the period 1986-2000 (Egorov et al., 2002, 2005).

SOE 2009 imageSOE 2009 image

 

Fig. 4.2. Temporal evolution of the 137Cs inventory in the 0-50 m water layer of the Black Sea after the Chernobyl NPP accident: estimates based on measured water concentrations (circles) and modeling (solid and dashed lines) (Egorov et al., 1993). A corresponding average environmental half-life of 5-7 y can be estimated for 137Cs in surface waters.

The contribution of Chernobyl-origin 90Sr deposition on the sea-surface was estimated to be 100-300 TBq, which resulted in a rapid increase of concentrations in the surface mixed layer (Egorov et al., 1999). The Dnieper and Danube Rivers added around 160 TBq of 90Sr into the sea during 1986-2000, comparable in magnitude to the amount introduced by fallout after the Chernobyl NPP accident (Voitsekhovych, 2001). The 90Sr outflow through the Bosphorus was 110 TBq over the period 1986-2000 (Egorov et al., 2002, 2005). Estimates given by Egorov et al. (2006) indicate a 90Sr inventory of 1770��790 TBq in the waters of the Black Sea in 1998-2000, 20% of which are attributable to the Chernobyl NPP accidental release, the majority of the 90Sr inventory being contributed by global fallout.. An area of particular interest due to secondary releases through the Dnieper from flooding of contaminated areas in the vicinity of the Chernobyl NPP, constituting an additional regional contamination source for the Black Sea, is the Dnieper-Bug estuary area. NW Black Sea annual mean surface concentrations of 16-21 Bq m-3 90Sr were reported for 2001-2005, representing an increase as compared to the 1998-2000 annual means of between 10-15 Bq m-3 90Sr (Egorov et al., 2006).

The evolution of 137Cs and 90Sr levels in coastal waters is illustrated by the values reported for the North-Eastern Black Sea (Table 4.1). Higher maximum post-Chernobyl levels in water were recorded in Sevastopol Bay, reaching up to 815 Bq m-3 and 157 Bq m-3 for 137Cs and 90Sr respectively (Fig. 4.4). As compared to initial levels measured after the Chernobyl accident, variations in average 137Cs concentration values reported for 2001-2006 in coastal surface water narrowed down considerably, being mostly attributable to seasonal freshwater inflow and generally correlating well with salinity. Values between 12-21 Bq m-3 were reported for Varna, Bulgaria in 2002-2004 (Veleva, 2006), 11-26 Bq m-3 in 2003-2005 at the Georgian coast (Pagava, 2006), 15-36 Bq m-3 in 2001-2005, with a single value close to 50 Bq m-3 in September 2004, for Constanza, Romania (Puscasu and Dima, 2006), being similar to those reported for the Russian coast (Table 4.1).

Relatively few data were published recently on Pu isotopes in Black Sea water. Values reported for 239+240Pu�� over the period 1989-1998 range between 3 mBq m-3 in surface water and 13 mBq m-3 at 150-200 m depth.

Table 4.1. The dynamics of 137Cs and 90Sr levels (Bq m-3) in surface waters of the North-Eastern Black Sea near the Russian Coast.

Year 137Cs 90Sr
Range Average Range Average
Before Chernoby (l) NPP accident1 Homogeneous distribution 18.5 Homogeneous distribution 22.2
1986, June-July (2) 250-470 360��50 74-100 86��8
1986, October (2) 104-159 127��17 22-37 28��4
1987, June (2) 48-59 56��4 - -
2000-20013 20.0-28.0 23.5��3.0 12.3-16.3 14.5��2.0
2004 20.0-23.5 21.7��1.8 10.3-11.0 10.7��0.4
2005 20.2-22.6 21.4��1.2 11.5-12.9 12.2��0.7

Sources: (1) Vakulovsky et al. (1980, 1994 ), (2) Nikitin et al. (1988), (3) IAEA (2004)

4.3. Concentrations and inventories of radionuclides in sediment

The highest 137Cs concentrations measured in 1992-1994 in the upper 5-cm layer of NW-W Black Sea shelf bottom sediments were found near the Danube Delta, the Dnieper-Bug Estuary, and around the Tarkhankut Cape of the Crimea peninsula (Egorov et al., 2006). A similar pattern of contamination was found in 2003-2004 (Voitsekhovych et al., 2006), reflecting the contributions of the post-Chernobyl initial atmospheric deposition, further river inflow and sediment transport and deposition. Total inventories of 137Cs in bottom sediments near the river mouths in 1990-1994 were in the range 10-40 kBq m-2, one order of magnitude higher than at shelf break (2-5 kBq m-2) and two orders of magnitude higher than at the continental slope and deep-water basin (0.2-0.3 kBq m-2) (Egorov et al., 2006). Pre-Chernobyl inventories of 137Cs in bottom sediments ranged between 1-8 kBq m-2 in coastal and shelf areas and were below 0.2 kBq m-2 in deeper areas (Vakulovsky et al, 1982). Maximum pre-Chernobyl 137Cs concentrations in superficial bottom sediments of about 100 Bq kg-1 d.w. were reported by Vakulovsky et al. (1982). Maxima in the range of 500 Bq kg-1 d.w. 137Cs were reported offshore the Danube mouths in September 1986 (Osvath et al., 1990), with current maxima reaching up to 100 Bq kg-1 d.w. 137Cs according to Voitsekhovych et al. (2006).

SOE 2009 image

Fig. 4.3. Vertical distributions of 134Cs, 137Cs activities (Bq kg-1 d.w.) and the 238Pu/239+240Pu activity ratio versus sediment depth (cm) in the Danube delta region in 1997.

Well-preserved 137Cs profiles in the deep basin and NW Black Sea bottom sediments (Egorov et al., 2006; Voitsekhovych et al., 2006) showed two subsurface peaks attributable to global fallout from atmospheric nuclear weapons testing and the Chernobyl accident. The Chernobyl origin of the upper peak in the 137Cs activity profile was documented using the activity ratio of 134Cs/137Cs, as the activity ratio of the short-lived 134Cs (T1/2 = 2.06 years) to the longer-lived 137Cs (T1/2 = 30.17 years) is known to be 0.53 in the Chernobyl release (Pentreath, 1988).�� A further differentiation of the pre- and post-Chernobyl sediments was carried out using the activity ratio 238Pu / 239+240Pu, that was of about 0.04 for the pre-Chernobyl global fallout (Fig. 4.3) compared to 0.47 in the Chernobyl release (Pentreath, 1988). 210Pb dating for well preserved cores, corroborated with indications from markers such as 137Cs and Pu isotopes, was used for evaluating contributions from both radioactive and non-radioactive contamination sources and also sediment mass accumulation rates (Voitsekhovych et al., 2006; Gulin et al., 2002; IAEA, 2004).

Post-Chernobyl 239+240Pu concentrations up to 0.4 Bq kg-1 d.w. were reported for sediments from both coastal and deep basin areas, depending on location and sediment composition (Egorov et al., 2006), with estimated 238Pu / 239+240Pu activity ratios varying in the range 0.105�����0.165. These analyses indicated that about 75% of the total plutonium contamination in the Black Sea bottom sediments was caused by global fallout.

90Sr being a soluble radionuclide, its levels in sediments remain generally low in the Black Sea. Pre-Chernobyl maxima of around 45 Bq m-2 90Sr inventory and 1.3 Bq kg-1 d.w. 90Sr concentrations were reported by Vakulovsky et al. (1982) for superficial bottom sediments. Following the Chernobyl accident, in the Black Sea at large concentrations of 90Sr in superficial bottom sediments remained in the same range as their pre-Chernobyl levels. Higher values were reported for the NW Black Sea, in particular offshore the Dnieper-Bug estuary area, where Mirzoyeva et al. (2005) reported concentrations of 90Sr in the 0-5 cm layer of bottom sediments ranging up to 45 Bq kg-1 d.w. in 1986, 80 Bq kg-1 d.w. in 1989, 45 Bq kg-1 d.w. in 1990-1996 and 150 Bq kg-1 d.w. in 1997-2000. They relate the differences observed to river input, as previously mentioned, periods of high water inflow through the Dnieper and, to a lesser extent, through the Danube, resulting in increases of 90Sr levels in offshore superficial sediments.

Radionuclides in beach sand are typically reported for radioprotection purposes. Concentrations in the past years range between roughly 0.5-12 Bq kg-1 d.w. for 137Cs, 0.2-10 Bq kg-1 d.w.�� for 90Sr and are below 0.2 Bq kg-1 d.w. for 239+240Pu (IAEA, 2004).

��4.4.�� Radionuclides in marine biota

The results of radioecological monitoring of the Sevastopol bays have shown that the increase of 137Cs and 90Sr concentrations in seawater recorded in May 1986 were followed by increases in the respective concentrations in marine biota (Fig. 4.4). Egorov et al. (2002) approximated the decrease recorded during the following years with exponential functions and estimated environmental half-lives for 90Sr of 8.4 y for water, 4.9 y for seaweed, 6.7 y for mussels; and for 137Cs 6.1 y for water, 4.7 y for seaweed, 7.5 y for mussels in the Sevastopol Bays. The doses delivered to the Black Sea biota by the anthropogenic radionuclides 90Sr and 137Cs after the Chernobyl NPP accident did not exceed the chronic exposure levels and the post-Chernobyl 90Sr and 137Cs contaminations did not introduce significant effects on biota in the Sevastopol Bay (Polikarpov, 1998; Mirzoyeva and Lazorenko, 2004). Maximum dose rates from anthropogenic radionuclides recorded in 1986 were found around 17%, 5.5% and 20% of the doses received from the natural 210Po by fish, molluscs and seaweed, respectively.

Coastal monitoring results in countries around the Black Sea for the period 2000-2005 (Nikitin et al., 2006; Patrascu, 2006; Veleva, 2006; Pagava, 2006) indicate low levels of anthropogenic radionuclides in seaweed, molluscs and fish (Table 4.2). 239+240Pu concentrations up to 17 mBq kg-1 w.w. in seaweed, 2.4 mBq kg-1 w.w. in mollusks and 1 mBq kg-1 w.w. in fish were reported at the NE Black Sea coast in 2000-2005 (Nikitin et al., 2006). Variations are observed between species and also depending on location, age etc., however, levels are generally low, with no radiological significance either for the biota themselves or for the human populations consuming edible species of marine biota.

 

SOE 2009 imageSOE 2009 image

Fig. 4.4. Temporal evolution of 137Cs (on the right) and 90Sr (on the left) concentrations in water (a), algae Cystoseira crinita (b), mollusc�� Mytilus galloprovincialis (c) and fish Merlangius ��merlangus euxinus (d) in the Sevastopol bays in 1986-2005.

Table 4.3. The ranges of 137Cs and 90Sr concentrations in marine biota (Bq kg-1 w.w.) from coastal measurements performed by the riparian countries in the years 2000-2005.

Biota 137Cs 90Sr
Seaweed 0.3-3 0.4-2.5
Molluscs 0.3-2 0.02-3.2
Fish 0.8-3 0.02-3.2

4.5. Conclusions

Chernobyl atmospheric fallout deposited 1.7-2.4 PBq of 137Cs into the Black Sea surface, which temporarily increased the 137Cs inventory of the 0-50 m surface layer by a factor of 6-10 in comparison with its pre-Chernobyl value. The contribution of Chernobyl-origin 90Sr (0.1-0.3 PBq) from atmospheric fallout was lower in comparison with that of 137Cs. A subsequent 90Sr input from the Danube and the Dnieper Rivers (about 0.16 PBq) was an important contribution to the budget of this radionuclide in the Black Sea, but the riverine 137Cs input (0.02-0.03 PBq) was insignificant. The decrease of the 137Cs inventory in the surface layer after Chernobyl has been mainly controlled by vertical mixing, loss through the Bosphorus Strait, and radioactive decay. The loss through the Bosphorus accounted for 2-2.5% of the 137Cs inventory.�� In the case of 90Sr, these processes have been compensated by river inputs from the Dnieper and Danube Rivers up to 1994-1995 and partially after 2000. The vertical mixing of 137Cs and 90Sr was mainly effective within the 0-200 m layer. Sediment inventories of 137Cs in the Danube and Dnieper delta regions exceeded with one order of magnitude the values in the slope zone and two orders of magnitude those in the deep basin. Marine biota along the coastal areas of the Black Sea presented very low levels of anthropogenic radionuclides.

��Although the Black Sea was ranked at the level of the year 2000 amongst the marine regions of the World Ocean as the 2nd highest in terms of 90Sr concentrations in surface seawater (after the Irish Sea) and 3rd highest in 137Cs concentrations (after the Baltic and Irish Seas) (IAEA, 2005), the levels of anthropogenic radionuclides found in the Black Sea environment associate insignificant radiological doses to human populations.

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CHAPTER 5 THE STATE OF PHYTOPLANKTON (D. Nesterova et al.) ��

D. Nesterova

Odessa Branch, Institute of Biology of the Southern Seas, NASU, Odessa, Ukraine

S. Moncheva

Institute of Oceanology, Bulgarian Academy of Sciences, Varna, Bulgaria

A. Mikaelyan1, A. Vershinin1 and V. Akatov2

�� 1 P.P.Shirshov Institute of Oceanology RAS, Moscow, Russia

2 Maykop State Technological University,Maykop, Russia

L. Boicenco

National Institute for Marine Research and Development ���œGrigore Antipa���� (NIMRD), Constanta, Romania

Y. Aktan3 and F. Sahin4

3 Marine Sciences, Faculty of Fisheries, Istanbul University, Istanbul, Turkey

�� 4 Sinop University, Fisheries Faculty, 57000 Sinop, Turkey

T. Gvarishvili

Georgian Marine Ecology and Fisheries Research Institute (MEFRI),

Batumi, Georgia

5.1. Introduction

Phytoplankton as the foundation of marine trophic chain is among the best indicators for assessment of the state of eutrophication. Nutrient enrichment/eutrophication often gives rise to shifts in phytoplankton species composition (e.g. from diatoms to dinoflagellates) and an increase in the frequency and/or magnitude and/or duration of phytoplankton (including nuisance/potentially toxic) blooms. The present chapter analyzes the recent trends of changes in phytoplankton species composition and then highlights main features of its contemporary state along the Black Sea shelf waters. The assessments are based on the evaluation of historical data as well as those collected during the present decade within the framework of various international and regional field campaigns as well as national monitoring programs.��

5.2. Species composition

Data compiled by many sources documented 750 phytoplankton species in the Black Sea (Ivanov 1965, Pitsyk 1950, Sorokin, 2002). Owing to considerable differences in hydrological and hydrochemical properties, phytoplankton composition differed considerably in different parts of the sea. In particular, the shallow, less saline and heavily euthrophied northwestern part of the sea sustained large number of brackish and freshwater species as compared with other parts (Ivanov, 1967).

��Northwestern and Crimean shelves: A summary of the lists of phytoplankton species studied in 1973-2005 in the northwestern Black Sea shelf (NWS) (Nesterova, 1998; Guslyakov and Terenko, 1999; Nesterova and Terenko, 2000; Terenko, 2004; Nesterova and Terenko, 2007) showed that phytoplankton is represented by 697 species and interspecies pertaining to 11 phyla (Table 5.1). During 1973 ����� 2005, diatoms and dinophytes constituted main species as observed prior to 1973, but their ratio has changed in comparison to 1950s (Ivanov, 1967). The diatom species decreased from 48.3% to 34.9%, while dinophytes increased from 20.4 % to 28.5 %. Freshwater green algae species increased from 16.7% to 22.5%, while blue-green algae remained around 5-6%. Due to revised phytoplankton composition, representatives of new phyla of Cryptophyceae Hillea fusiformis, Prasinophyceae Pterosperma cristatum, Pt. jorgensenii and a Choanoflagellida Bicosta spinifera species appeared. An increase in the species diversity of dinophytes was noted in 1973 ����� 1993 when 36 new species were listed in the NWBS (Nesterova, 1998). Later, 48 species were added to the list of which 37 were new to the Black Sea (Terenko, 2004; 2005). The dinophytes included potentially toxic species Alexandrium psedogonyaulax, Cochlodinium polykrikoides, Gyrodinium cf. aureolum (Terenko, 2005, 2005 а) as well as a new species (Prorocentrum ponticus) and a new variety (Prorocentrum micans var. micans f. duplex) (Krakhmalniy and Terenko, 2002). Similarly, new green algae appeared as the genera Monoraphidium (M. contortum, M. obtusum) and Scenedesmus (Sc. polyglobulus). At present, the number of marine and marine-brackish species decreased from 60.3% to 50.5%. Simultaneously, there has been an increase in freshwater and freshwater-brackish species ����� 49.5% and 39.7%, respectively.

The bulk of phytoplankton abundance and biomass is represented by a massive development of a small group of species in certain seasons. In the 1950s ����� 1960s, it was 41 species (Ivanov, 1967), and increased to 85 species in the past two decades (Black Sea, 1998). Besides the usual representatives as Skeletonema costatum, Cerataulina pelagica, Chaetoceros socialis, Leptocylindrus danicus, Prorocentrum cordatum, Pr.micans, other species like Leptocylindrus minimus, Chaetoceros insignis, Gyrodinium cornutum, cryptophytes Hillea fusiformis, coccolithophorides Emiliania huxleyi, freshwater diatoms Skeletonema subsalsum, Stephanodiscus hantzschii, blue-green algae of the genera Gleocapsa Merismopedia have entered into the NWBS phytoplankton bloom events. Common species including Heterocapsa triquetra, Scripsiella trochoidea were found in the NWBS in 1957-1961 (Ivanov, 1963). Besides, typical summer ����� autumn phytoplankton species like Thalassionema nitzschioides, Chaetoceros curvisetus were observed in 1950 ����� 1960, while Pseudosolenia calcar avis tended to decrease in frequency and abundance (Nesterova, 1987).

Table 5.1. Taxonomic composition of Black Sea phytoplankton in Ukraine waters

Phyla Northwestern part Southeastern coast of Crimea
1954-60* 1973-05** 1938-59*** 1979-98****
Bacillariophyceae

180

243

73

63

Dinophyceae 76 199 39 69
Cryptophyceae - 8 3 -
Chlorophyceae 62 158 4 3
Cyanophyceae 24 37 4 2
Prymnesiophyceae 9 25 19 -
Chrysophyceae 4 6 5 27
Dictyochophyceae 5 7 - -
Prasinophyceae - 2 - -
Euglenophyceae 12 11 - 1
Choanoflagellidea - 1 - -
Total 372 697 125 165
         
         

*������� Ivanov (1967); **������� Nesterova (2006); Nesterova, Terenko, 2007; ***������� Proshkina-Lavrenko (1955) and Ivanov (1965); **** ����� Senichkina et al. (2001)

Phytoplankton species in the southeastern coast of Crimea during the 1940�����1960s included 125 species and interspecies taxa from 5 algal phyla (Table 5.1) (Stroykina, 1950; Koshevoy, 1959; Mironov, 1961). In more recent years (1979�����1998), it increased to 165 species and varieties, which all indicated some changes in taxonomic composition. In contrast to the previous phase, dinophytes increased from 31.2 % to 41.8 and chrysophytes from 4% to 15.1%, while diatoms decreased from 58.4% to 38.1%. The species diversity of coccolithophorids rose to 74 new species which were common for the whole Black Sea, while 21 species were observed for the first time.

Compared to 211 species and varieties of planktonic algae recorded in the Sevastopol Bay in 1948 (Senicheva, 2000), there were 84 species in 1996 - 1997 and 173 species and varieties in 2001 ����� 2004. The latter was represented by 11 classes and 2 taxonomic groups; small flagellate algae and olive green cells. The basis of species diversity was similar to that of the NWBS and mainly composed of diatoms (45%), dinophytes (35%), and also Prasinophyceae (11%) (Polikarpov et al., 2003). The composition of dominant species of Skeletonema costatum, Leptocylindrus danicus, Chaetoceros socialis near Sevastopol for a period of 65 years has not undergone significant changes (Polikarpov et al., 2003). Pseudo-nitzschia delicatissima was an exception replacing Cerataulina pelagica in 2001 ����� 2004. Changes have been noted mainly in the composition of subdominant species replacing the dinophyte algae of the genera Glenodinium, Protoperidinium, Prorocentrum for Prymnesiophyceae genera of Syracosphaera and Emiliania. At the same time new diatom species have been encountered along the coast of Crimea, and a new variety has been described as Chaetoceros diversus var. papilionis (Senicheva, 2002) as well as dinophytes and silicoflagellates (Kuzmenko, 1966; Senichkina, 1973).

Western Black Sea shelf: The revision of phytoplankton check-list in 1980-2005 documented 544 species distributed among 8 classes (Fig. 5.1) which indicated more than two-fold increase as compared to 230 species listed in the 1954-1980 period. Although a part of this change was related to improved sampling strategy, microscope quality, frequency and regions of sampling, changing environmental conditions and introduction of exotic species also played a role (Moncheva, Kamburska, 2002). Diatoms (212 species) and dinoflagellates (162 species) constituted bulk of the phytoplankton pool; the Dinophyceae species contribution rose to about 40% of the total number, e.g. an increase of more than 3 times. The same also applies to other classes; for example, species from Cryptophyceae and Choanoflagellates groups have not been reported at all before 1980s. The presence of rare and new Bacillariophyceae (Thallasiotrix longissima, Th. antarctica Lioloma elongatum, L. pacificum,Triblionella acuminate),�� Dinophyceae (Ceratium furca var. bergii, Ceratium furca var. eugramma, Cochlodinium archimedes, C. citron, Kofoidinium lebourae), a number of Gymnodinium species�� (Gymnodinium canus, G. cintum, G. dominans, Gymnodinium fuscum etc.) Gyrodinium (Gyrodinium spirale), and numerous Cryptophyceae (mainly from genus Chroomonas, Cryptomonas, Rhodomonas, Leucocryptos etc), Chlorophyceae (Kirchneriella, Trochiscia, Treubaria), Chrysophyceae (Braarudosphaera bigelowi, Octactis octonaria, Calciosolenia granii v. cylindrotheca, etc.), and different microflagellates add significantly to the diversification of phytoplankton assembly. Most of the species listed above are mixo-heterothrophs, that might have important functional bearings at ecosystem level (Moncheva et al., 2005; 2006; Velikova et al., 1999; 2005). An apparent feature of phytoplankton communities after 2000 was further increase of species diversity and species richness per sample (normally above 40) as detected since the mid-1990�����s (Moncheva, 1999, Moncheva, 2003, 2005, 2006, 2007, Velikova et al., 1999, Velikova, 2004). More than 70% of the Shannon-Weaver biodiversity index was below the critical value of 2 in the 80-ies - the lowest being in summer of 1983-1985. This index dropped below 2 only during the winter-spring phytoplankton blooms in the 1990s, and this trend was maintained after 2000.

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Fig. 5.1. Phytoplankton species diversity by taxonomic classes in the Bulgarian shelf.

BAC ����� Bacillariophyceae; DIN ����� Dinophyceae; CHR ����� Chrysophyceae; CYA ����� Cyanophyceae; CRY ����� Cryptophyceae; EUG ����� Euglenophyceae; CHL ����� Chlorophyceae; CHO ����� Choanoflagellates

SOE 2009 imageFig. 5.2. Long-term changes�� in phytoplankton taxonomic structure by biomass (mg/m3) in pcentage in spring (3 nm Cape Galata)   
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Fig. 5.2.a.�� Seasonal phytoplankton taxonomic structure by numerical abundance (cells/l-1) averaged for the period 2000-2006 for the Bulgarian shelf waters

The long-term taxonomic structure of phytoplankton biomass shows a likely shift from a diatom dominant system (constituting 60-90% of total biomass in the 60-ies) to an apparent dominance of opportunistic dinoflagellates in the 80-ies (mixo/heterothrophs) building between 60-80% of the biomass in spring), a partly regained dominance of diatoms in the late 90-ies- early 2000s to an increased share of chrysophytes and microflagellates (about 20 %) during 2001-2007 (Fig. 5.2). Thus, the Bacillariophyceae to Dinophyceae taxonomic biomass ratio in spring diverged from the reference ratio (Petrova-Karadjova ,1984) of (10:1).��

In winter, albeit the predominance of typical diatoms (Skeletonema costatum, Detonula confervaceae, Pseudonitzschia seriata, Pseudonitzschia delicatissima) by about 80%, species from other taxonomic groups (chrysophytes, microflagellates and mixothrophic dinoflagellates) often contributed to more than 50% of the total density and the large size dinoflagellates in the biomass (Fig. 5.2). In February 2005 the dinoflagellate Alexandrium ostenfeldii dominated the community (90%) in the Bay of Sozopol (Mavrodieva et al., 2007), and, Akashiwo sanguinea proliferated along the entire coastal area in February 2001, while Apedinella spinifera was a co-dominant species during the winter bloom of Skeletonema costatum in March 2003. The contribution of chrysophytes (Emiliania huxlei) in spring-summer 2003 oscillated between 40-80% of the total abundance, microflagellates between 20-50%. Dominance of Cyanophyceae and Chrysophytes marked atypical composition of phytoplankton community in autumn, along with the blooms of dinoflagellates (Gymnodinium sp., Prorocentrum minimum, Alexandrium monilatum) with biomass exceeding 15 g/m3 in Cape Kaliakra and Cape Galata in November 2003 that resembles the eutrophication period, irrespective of the reduction of the total abundance as compared to the 1990s.

The species composition of algal blooms tended to have significant decadal changes in the Romanian shelf as well. The late 1980s were characterized by relatively low (<30%) diatom content but dominated mainly (about 60%) by dinoflagellates (Fig. 5.2b; upper). This structure reversed in favour of diatoms by the early 1990s. Between 2001 and 2005, diatoms covered 48-66% of the total algal density except 2002-2003 in which two Cyanophyceae species Microcystis pulverea and M. aeruginosa dominated the blooms during the warm season. In the biomass, the dinoflagellates were more often dominant due to their large bio-volume, representing up to 65% of the whole biomass (Fig. 5.2b; lower).

Southern Black Sea: Compared to the NWS, 172 taxa were identified until 1995, of which 103 belonged to Bacillariophyceae, 52 to Dinophyceae, 12 to Chlorophyceae, 3 to Cyanophyceae and 2 to Chrysophyceae. The studies conducted between 1995-2000 introduced 115 additional taxa - 1�� from Cyanophyceae, 65 from Dinophyceae, 4 from Dictyochophyceae, 33 from Bacillariophyceae, 10 from Prymnesiophyceae, as well as 1 species of Euglenophyceae and 1 species of Acantharea. Only 6 taxa of Bacillariophyceae have been given as a new record for the Turkish coast after 2000. In total, 294 phytoplankton species consisting of 48.3% diatoms and 39.8 % dinoflagellates were identified in the Southern Black Sea so far (Table 5.3). The most important change observed within the last 10 years was the slight domination of dinoflagellates and other micro-nanoplankton species with respect to diatoms. The increase in the ratio of dinoflagellates could be related to the change in nutrient balance in addition to the temperature regime of the seawater.

 

����
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Fig. 5.2b. Percentage of main algal groups in density (upper) and biomass (lower) in front of Constanta waters during 1986-2005.

Table 5.3. Phytoplankton species distributed along the Turkish Coast of Black Sea.

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(1: Feyzioğlu, 1990. 2: Feyzioglu, 1996. 3: T��rkoğlu, 1998. 4: B��y��khatipoğlu et al., 2002. 5: Bircan et al., 2005. 6: Şahin, 2005. 7: Baytut, 2005. 8: Bat et al., 2005. SW-BS: South Western Black Sea. S-BS: Southern Black Sea)

Georgia shelf region: According to the data from the 1970s, 99 phytoplankton species were registered in the south-eastern part of the Black Sea: 116 phytoplankton species were identified in 1982-1987, and 155 species in the 1990s. The present species composition included 203 species and subspecies of Bacillariophyceae, Dinophyceae, Chlorophyceae, Cyanophyceae, Chrysophyceae, Euglenophyceae. Species diversity and total biomass was built mainly by�� representatives of 2 large groups: Bacillariophyceae (diatoms) and Dinophyceae ( dinoflagellates). Most dominant diatom species included Skeletonema costatum, Chaetoceros socialis, Ch.curvisetus Ch.affinis Cyclotella caspia, whereas the dominant dinoflagellates were Prorocentrum cordatum, Pr. micans, Prorocentrum compressum, Protoperidinium pellucidum, P.steinii, Hetercocapsa triguetra, P.bipes, Cetarium fusus, C. furca. In some�� years, high abundance of���� blue green, green and euglena algae such as Microcystis acruginosa, Anabaena flos-aquae, Ankistrodesmus falcatus, Scenedesmus acuminatus, Trachaelomonas volvocina var. punctata and Euglena viridis was documented Most of them were recorded in estuaries where water salinity was as low as 8-10psu, in ports and sewage discharge regions.

Northeastern Black Sea: According to 2001-2005 monitoring data, in the Caucasian coast of the Black Sea 100-160 phytoplankton species were listed that included mixotrophic and heterotrophic species and benthic diatoms: about 60 Bacillariophyceae species (including common benthic diatoms like Thalassionema nitzschioides), 78 dinophyceae species (including heterotrophs traditionally accounting within phytoplankton, e.g. Ceratium spp., Dinophysis spp., Diplopsalis spp., Protoperidinium spp., etc.), 4 species of Silicoflagellates, 1 Chrysophyceae�� 5 Prymnesiophyceae, 1 Euglenophyceae, 1 Prasinophyceae, and 1 identified cyanobacterium. This number was close to the earlier data (119 species) from the same region based on one-year monitoring of microphytoplankton in Gelendjik coast (Zernova 1980).

Interior Black Sea: Long-term dynamics of phytoplankton communities in the interior basin has been studied using the phytoplankton data base, for the period from 1968 to 2007 (Mikaelyan, 2008). Stations are located in the Northern part of the Black Sea deeper than 150 m, mainly in its Northeastern area. Because of strong cross-shelf water exchanges, the key phytoplankton species in the shelf and deeper areas are usually the same and thus the data from stations shallower than 150 m were excluded from the analysis. Total number of stations and samples exceded�� 1000 and 2600, respectively

Long-term changes of 5 taxonomic groups were analyzed: Dinoflagellates, Diatoms, Coccolithophorids, Silicoflagellates and Flagellates for the upper mixed layer and lower part of the euphotic zone. Annual changes were studied for 4 time periods: spring (March-April), early summer (May-June), summer (July-September) and autumn (October-November). Due to the lack of data, winter season was not taken into consideration

The most striking feature of the spring season is a decreasing trend of diatoms abundance from 60-80% of the total phytoplankton biomass in 1970-1990 to 15-25% after 1995 (Fig. 5.3).�� They were replaced by dinoflagellates and phytoflagellates. The early summer season (May-June) was characterized by an increase of coccolithophorids abundance from 5-15% before the mid-1980s to 20 in the 1980s and 50% after 1994 until the present. On the contrary, dinoflagellate standing stock decreased from 60-80% to 15-25% during the same period. The role of diatoms increased from 1% to 60% in the upper mixed layer in summer season of the last two decades. The same trend was not so evident for the pycnocline layer where the most noticeable change was the reduction of silicoflagellate abundance. It comprised from 10 to 90% of the total phytoplankton biomass in 1969 and only from 0 to 5% after 1970�����s. For the autumn season, the role of dinoflagellates in phytoplankton biomass decreased from 60-90% to 10-40% in the upper mixed layer. An opposite trend was recorded for flagellates. Their input to the total phytoplankton biomass increased from 0-5% to 20-70%. Thus, phytoplankton species community was dominated by dinoflagellates in spring and early summer and diatoms in summer and autumn after 1994. Phytoflagellates also became a dominant component of the community with contribution more than 20% throughout the year. Coccolithophorids also became a predominant part of the community during May-June as also supported by the ocean color data (Cokacar et al., 2003).

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Fig. 5.3. Phytoplankton community structure within the interior basin in different seasons prior to 1985, during 1985-1994 and after 1994.

The most remarkable changes occurred during the seasonal plankton successions in the cold climate period 1985-1994. The predominance of diatoms in spring shifted to the prevalence of dinoflagellates and phytoflagellates. Substantial increase of coccolithophorids was reported in spring-summer instead of dinoflagellates. Dinoflagellates replaced by diatoms in summer and silicoflagellates by phytoflagellates in autumn. Thus, the classical seasonal phytoplankton succession with the spring diatoms bloom followed by proliferation of dinoflagellates and then phytoplagellates was not observed any longer. They all indicated a ���œregime shift���� in phytoplankton community structure during the early 1990�����s. This mode still prevails and the phytoplankton community structure of the deep Black Sea has not yet return to the state observed during the 1960-70s.

5.3. Long-term changes in algal blooms

Northwestern Black Sea shelf: For the 1973 ����� 2005 period, 158 bloom cases were registered by 50 species and varieties of algae (see Table 5.4 in Appendix) including 25 species of diatoms, 7 of dinophytes, 11 of blue-green, 4 of green, 2 of crysophytes algae and 1 of Euglenophyceae. 53 bloom events were registered in 1973 ����� 1980 over more than half of the northwestern Black Sea area (Nesterova, 2001). The most remarkable outbursts were caused by Prorocentrum cordatum, which initiated ���œa red tide���� at the sea surface in September 1973, (Nesterova, 1979) after a similar event that occurred�� in Sevastopol Bay in 1909 (Zernov, 1913). Also ���œblooming���� of Cerataulina pelagica and Emiliania huxleyi was first noted in 1973-1980 (Nesterova, 2001).

From 1980 to 1990, the number of phytoplankton blooms decreased to 33. However, outbursts of rare species such as (Leptocylindrus minimus), and of new species (Microcystis pulverea, Gleocapsa minima, etc.) increased in number. Most frequent ���œblooms���� were caused by Skeletonema costatum, Cerataulina pelagica, Prorocentrum cordatum, Chaetoceros socialis. In 2001, outbursts of dinophytes ����� Gymnodinium simplex, G. sphaeroideum, Scrippsiella trochoidea and Akashiwo sanguinea were also recorded.

Massive algal outbursts were rarely observed along the Crimean coast, and their maximum abundance was always lower than in the NWS (Mashtakova and Roukhiyainen, 1979; Senichkina, 1993). For instance, Skeletonema costatum abundance along the Crimean coast reached 0.9 millon per liter (Senichkina, 1993), while it was 30.6 millon per liter in the NWS (Nesterova, 2001).

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Fig. 5.4. Changes in phytoplankton biomass in 1954-1960s and in 1973 ����� 2005s in the northwestern Black Sea shelf.

The highest values of phytoplankton biomass in the NWS were observed in 1973 ����� 1980 (Fig. 5.4) and attributed to the heavy eutrophication (Nesterova, 1987). The average phytoplankton biomass increased almost 17 times -�� from 0.9 g m -3 to 16.0 g m -3�� as compared to the 1950-1960s (Nesterova, 1987). From 1981 to 1993 the phytoplankton biomass started to decrease gradually with a minimum biomass registered in 1991-1993. In 1994 ����� 2000, the biomass was around 6.0 g m -3 and the contribution of dinophyte algae tended to decrease in contrast to more intense development of diatoms (Derezyuk et al., 2001). The proliferation of Skeletonema costatum was more intensive as an indicator of hypereutrophic waters (Nesterova, 2003). The decrease in phytoplankton biomass to around 4.0 g m-3 in 2001-2005 was accompanied by an increased role of dinophytes. In 2005, a ���œred tide���� dominated by Scrippsiella trochoidea and blue-green algae was documented near the Odessa coast.

Phytoplankton data for the period 1988 ����� 2004 from the estuarine part of the Danube ����� the main source of Black Sea eutrophication (Zaisev at al., 1989) have been analyzed for three different periods (Nesterova, 1998; Nesterova, Ivanov, 2001; Nesterova, 2005). The phytoplankton abundance did not change much during these periods and was on the average 3.6 million cells∙l-1 (Fig. 5.5a). More recent data for 2003-2008, on the other hand, show large interannual variability in the range of 0.5-15 million cells∙l-1 (Fig. 5.5b). The biomass gradually decreased from 38.0 g m -3 in the 1980s to ~5.0 g m -3 in 2000-2004, mostly due to the reduction in dinophytes (Heterocapsa triquetra) in spring and increase in diatoms (small-size species, such as Skeletonema costatum, Chaetoceros socialis). The latter average value included extreme cases such as 14.5 g m -3 in 2003 and 2 g m -3 in 2004. The biomass manifested an increasing trend after 2004 up to 8 g m -3 in 2008.�� A similar decrease in phytoplankton biomass from the 1980s to the 1990s and enhanced growth of Skeletonema costatum was also observed in the Odessa area (Nesterova and Terenko, 2000) where the number of blooming species changed irregularly year-to-year (Fig. 5.5c).

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Fig. 5.5a. Change in abundance (million cells·l-1) and phytoplankton biomass (g·m-3) of the Danube estuarine area (1988-2004).

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Fig. 5.5b. Change in abundance (blue bars; million cells·l-3) and phytoplankton biomass (red bars; g·m-3) of the Danube estuarine area (2003-2008).

Near southeastern coast of Crimea the abundance and biomass of phytoplankton have also increased in the past 50 years. Small size species of diatoms (Skeletonema costatum) and coccolithophorids (Emiliania huxleyi) dominated phytoplankton blooms (Kuzmenko at al., 2001). Dominance of coccolithophorids in the summer-autumn period was particularly prominent in the coastal zone near Sevastopol in 2001-2003 (Polikarpov at al., 2003).

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Fig. 5.5c. Number of blooming species in the coastal area of the Odessa Bay.

To summarize, the phytoplankton structure and dynamics in the NWS have been altered not uniformly in the different areas of the shelf during the past 50 years. The phytoplankton species diversity increased and this increase was accompanied by changes in the ratio of diatoms and dinophyte algae in favour of dinophytes and declining contribution of diatoms during the 1970-1980s. In the Sevastopol area and the southeastern coast of Crimea, the species diversity of coccolithophorids increased. A reverse trend was observed after 2000 characterized by elevated diatom contribution and reduction of dinophyte abundance along with a decrease in the total phytoplankton biomass that imply a decline of�� eutrophication impact and a partial recovery of the northwestern shelf ecosystem (Nesterova, 2003).

Romanian shelf area:

The phytoplankton density and biomass followed the general tendency of decrease in the Romanian Black Sea waters after the 1980�����s as well. Both abundance and biomass in coastal waters near Constanta underwent a significant reduction during 2001-2005 that accounted for 75% and 55% decrease relative to the 1980�����s (Table 5.5 and Fig. 5.6) and approaching to values comparable to the 1960s. Algal bloom frequency and concentration declined: out of 24 blooms, only three exceeded 50 million cells/l whereas this number was 15 in the 1980s and 4 in the 1990s (Table 5.5). Besides, diminished number and intensity of algal blooms, the number of blooming species reaching density higher than 10 million cells/l was reduced from 11 in the 1990s to 9 in 2001-2005 (Fig. 5.7). Cyclotella caspia (maximum 78.6 �·106 cells/l),�� dinoflagellates Prorocentrum cordatum (15.3�·106 cells/l), Scrippsiella trochoidea (25.2�·106 cells/l) and Heterocapsa triquetra (16.0 �·106 cells/l), cyanophytes Microcystis pulverea (16.7 �·106 cells/l), M. aeruginosa (15.0 �·106 cells/l) and M. orae (271.9 �·106 cells/l), diatoms Tabellaria sp. (maximum 17.1 �·106 cells/l) and Navicula sp. (maximum 67.5�·106 cells/l) produced the most significant blooms. The last five species were alochtonous fresh-brackish water species introduced into the sea mainly by the River Danube, the blooms occurring in regions of relatively low salinity and warm water. The relatively large phytoplankton biomass in 2007 (Fig. 5.6) was due to large-size dinoflagellate bloom, but the abundance was low (Fig.5.6).��

Table 5.5. Mean phytoplankton density and biomass in the shallow waters in front of Constanta and number of blooms registered in Romanian marine waters during different periods.

Period Density(106 cell/l) Biomass(g/m3) Number ofblooms Number ofBlooms, density > 50�·106 cell/l
1959-1965 0.887 2.00
1983-1990 5.870 7.14 49 15
1991-2000 2.261 5.960 29 4
2001-2005* 1.481 3.22 24 3

* Mean minus extreme values/atipique from August and September, 2000 and 2001.

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Fig. 5.6. Change in annual-mean density and biomass of phytoplankton in 1983-2006 in Constanta.

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Fig. 5.7. Number of phytoplankton species contributing to blooms in Romanian waters between 1960 and 2005.

Bulgarian shelf area: The 1980�����s and the early 1990s were characterized by most intense blooms and a shift to r-strategy species (Moncheva, Krastev, 1997). A total of 31 monospecific blooms occurred, out of which seven attained densities higher than 50 mil cells.l-1 and the biomass varied between 10 and 20 g m-3. Starting by the mid-1990s, an overall decreasing trend in the density and biomass of all dominant species was observed down�� to a total biomass of about 3 g m-3 after 2000 (Fig. 5.9). Along with the reduction of frequency, duration, and intensity of phytoplankton outbursts (only 3 cases of abundance exceeding 50 mil ��cells.l-1 reported in the late 1990s and���� none in the period after 2000), a decline in the extent and duration of exceptional events, especially in summer was documented. The list of bloom producing species was further diversified and several species contributed to a single bloom event (Moncheva et al., 1995, Velikova et al. 1999, Moncheva et al., 2001) ����� Fig.5.7a.

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Fig. 5.7a. Phytoplankton species contributing to summer blooms in Bulgarian coastal area between 1975 and 2005

After 2000, a number of controversial trends were evident in summer, such as proliferation of large diatoms (Pseudosolenia calcar avis and Cerataulina pelagica) at the level of red-tide biomass (higher than 20 g/m3 in August 2002), elevated occurrence of small heterothrophic microflagellates and large dinoflagellates (Akashiwo sanguinea and species from genus Ceratium), and almost recurrent blooms of Emiliania huxleyi (Moncheva et al., 2006). The presence of species from genus Dinophysis (D. acuta ����� 4.4 x103 and D. caudata - 1.7 x103 ����� Petrova and Velikova, 2003) and Pseudonitzschia cited as toxic for other areas of the world ocean all together signify perturbed phytoplankton succession and ecosystem instability.

The summer frequency distribution of EQ classes during the period 1990-2000 and 2000-2007 based on chlorophyll-a and phytoplankton biomass (Moncheva and Slabakova, 2007) revealed a reduction of ���œpoor/bad���� conditions from more than 70% to less than 40% in the Varna Bay and to none at station 201 near Cape Kaliakra, and to about 40% at station 301, near Cape Galata (Fig. 5.10), indicating an improvement in the environment of the region.�� Nonetheless the ���œgood���� class frequency maintained below 50% in Varna Bay implies a continuation of eutrophic conditions of ecological concern.

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Fig. 5.9. Long term changes of phytoplankton biomass at 3 nm away from the Cape Galata. The data prior to 1970 were taken from Petrova-Karadjova (1984 and 1990).

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Fig. 5.10. Frequency of EQ classess of summer phytoplankton blooms averaged for 1990-2000 (indicated by ���œ90����) and 2000-2007 (indicated by ���œ20����) for coastal stations (201 near the Cape Kaliakra�� and 301 near the Cape Galata, and VB-Varna Bay).

Southern Black Sea: The analysis of the data collected along the Turkish coast during two different hydrological phases: stagnant period (where significant nutrient injection is possible due to deeper mixed layer in cold seasons) and non-stagnant period (shallower mixed layer; warm seasons) suggested a common trend of lower phytoplankton abundance after 1994 (Fig. 5.11), most likely related to improvement of eutrophic conditions in the southern Black Sea coastal waters. Relatively high abundance in the stagnant periods reflected mainly the contribution of the spring blooms.

������ SOE 2009 image

Fig. 5.11. Comparison of phytoplankton abundance during two contrasting periods (i.e. stagnant and non-stagnant) in 1989-2005.

Georgia shelf region: Since 1981, phytoplankton was sampled along 8-12 transects at standard depths (0, 5, 10, 25, 50, 75, 100m) and 68-70 stations along the Georgian coast from Chorokhi River up to Bzibi River. The average annual abundance and biomass during 1992, 1998, 1999 and 2005 (Fig. 5.12) indicated a rather uniform level during the 1990s (around 100-150x103 cell l-1 and 2.5 g m-3) in coastal waters between Poti and Batumi. The exceptionally high density and biomass of phytoplankton (788 x103 cell l-1 and 11.7 g m-3) were recorded in both regions during 2005 that were associated with proliferation of large Bacillariophyceae species Coscinodiscus granii, Hyalodiscus ambiguus, Pseudosolenia calcar avis, Dactyliosolen fragilissimus, Prorocentrum micans.

SOE 2009 imageSOE 2009 imageSOE 2009 image

SOE 2009 imageSOE 2009 imageSOE 2009 image

Fig. 5.12. Average annual abundance and biomass of phytoplankton in Georgian waters in 1992-2005.

Interior Black Sea: Phytoplankton biomass as an average of all measurements conducted within the interior basin at stations deeper than 150 m also indicate distinct decadal changes (Fig. 5. 13). The biomass which was only about 2 g m-2 during the 1960s increased up to 10 g m-2 after the mid-1970s and then to about 20 g m-2 in the 1980s and the early 1990s, exceeding even 50 g m-2 in 1985 and 1992. By the mid-1990s, phytoplankton biomass oscillated annually between 5 g m-2 and 20 g m-2 and therefore is still comparable with the conditions of eutrophication phase.

SOE 2009 image

Fig. 5.13. Long-term changes of total phytoplankton biomass within the water column of interior basin (g m-2) compiled from all available measurements at locations deeper than 100 m during May-September, and the December-March mean SST (oC) as an average of various data sets (Hadley, Reynolds-NCEP, Pathfinder), and the mean temperature of CIL during May-October.

As the spring-summer phytoplankton productivity is mainly driven by the amount of nutrients entrained into the euphotic zone by winter convection, it is expected that phytoplankton biomass should be proportional to severity of winters that is indicated in Fig. 5.13 by the winter-average SST and mean temperature of the Cold Intermediate Layer (CIL) during May-October. As shown in Fig. 5.13, phytoplankton biomass follows closely temperature variations with higher (lower) biomass during cold (warm) years. This close relation implies that a part of the biomass increase in the 1980s was imposed by climate impact, in addition to eutrophication. The recent increase in biomass after 2002 may also be attributed to the climate as there is no evidence of increase in eutrophication within the interior basin during the recent years.

5.3. Seasonal dynamics

The averaged data for the NWS during 1975-2005 suggest three particular peaks in the annual dynamics of phytoplankton biomass. The first one occurred in April, usually dominated by diatoms (Skeletonema costatum, species of the genera Thalassiosira), the second- in June-July dominated by dinoflagellates (Prorocentrum cordatum) making up 84.6 % of the total biomass, and the third and highest one in September-October due to diatoms (Cerataulina pelagica, Pseudonitzschia seriata, Ps. delicatissima, Leptocylindrus danicus) and dinophyte (Prorocentrum cordatum, Goniaulax polyedra), which contributed to biomass irregularly (Fig. 5.14). During diatoms outbursts, they build up about 70% of the biomass while dinophyte contribution decreased to 22%. Because of their small cell-size coccolithophorids contributed to only 8% of the biomass.�� The most important feature was an almost one order of magnitude increase of the monthly phytoplankton biomass during 1973-2005 as compared to 1954-1974 - Fig. 5.14

SOE 2009 image

Fig 5.14. Monthly changes of mean phytoplankton biomass in the northwestern coastal waters during 1975-2005.

During the summer outbursts the bulk of phytoplankton biomass was concentrated in the upper 0-10 m, except in shallow waters. The difference in the abundance between the surface and near bottom layers increased from spring to summer, decreasing in the autumn. The highest abundance and biomass were observed in the Danube River runoff impacted zone of the NWS, with frequent and intensive blooms, while the abundance and biomass declined sharply by several orders of magnitude beyond this zone. During spring and autumn intense diatoms outbursts were registered locally near river estuaries. In summer during permanent blooms, large areas of high phytoplankton biomass were covered between the estuaries of the Dnieper�����Bug Liman and the Danube.

In the Bulgarian shelf area, during the cold years of the 1980s as well as in 1994, the annual phytoplankton biomass manifested pronounced late-winter and spring peaks, often exceeding 10 g m-3 - to more than 30 g m-3 as observed in the 1990 spring (Fig. 5.15). The biomass decreased considerably since 1995 down to less than 5 g m-3 after 2000, associated with the onset of a decade-long climatic warming phase along with the reduction of nutrients and the shift in their ratios (Moncheva et al, 2008). Contrary to the cold climate phase, there was no clear seasonal pattern, and the timing of phytoplankton intensive growth varied irregularly.

SOE 2009 image

Fig. 5.15. Long term changes of phytoplankton biomass at different seasons 3 nm away from the Cape Galata.

In the northeastern shelf, the phytoplankton growth started in February by proliferation of small diatoms, usually Pseudo-nitzschia pseudodelicatissima most frequently co-dominated by Skeletonema costatum, Dactyliosolen fragilissimus, Cerataulina pelagica, Hemiaulus hauckii, and Chaetoceros spp. and nanoplankton flagellates. In 2004, Thalassiosira spp. alone reached a density of 100 000 cell l-1. The spring peak of phytoplankton diversity and abundance occurred���� in April. At this time, large diatoms (e.g. Pseudosolenia calcar avis, Proboscia alata) and heterotrophic dinoflagellates dominate in the community biomass. The diversity and abundance decreased in May-June, with the exception of cases of massive proliferation of coccolithophores or a re-intensified growth of P.pseudodelicatissima and/or Thalassiosira spp., populations.

The beginning of most intensive and longest period of phytoplankton growth and maximum diversity was in July, culminating in early August, parallel to the annual maximum of surface water temperature. The phytoplankton abundance is dominated by dinoflagelates. Monospecific blooms may also occur like Cochlodinium polykrikoides bloom at Bolshoy Utrish (Krasnodar Krai) in 2001 (Vershinin et al., 2005). September-October was a time of gradual decline of phytoplankton community: total cell density and biomass decreased, and the portion of dinoflagellate species also. The intensity and duration of this annual phytoplankton succession at Caucasian coast varied from year to year, but the general pattern was maintained.

The succession cycle in the northeastern Black Sea coastal waters starts typically with the outburst of a single species of high growth rate, or less frequent, several of several species - small diatoms and/or coccolithophores. Then, they are replaced by heterotrophic dinoflagellates at temperatures higher than ~15oC. The data suggested that biotic factors (life cycle, growth rate and grazing, etc.) drive the start and evolution of each succession cycle, whereas the initiation, intensity and duration are determined mostly by water temperature.

5.4. Conclusions and recommendations

The overall analysis provided rather contrasting trends of phytoplankton assembly during the present decade. On the one hand, the increased species diversity and richness, reduced frequency and magnitude of phytoplankton blooms and thus decrease of total biomass and abundance, reduced frequency of ���œbad/poor���� EQ classes all point to an improvement of the ecological state of the Black Sea. On the other hand, concomitantly with still high nutrient concentrations, the increased dominance of heterotrophic dinoflagellates and elevation of abundance and biomass of ���œother���� species (e.g. coccolithophores and phytoflagellates) reflect features of a perturbed transitional state and an ongoing ecological instability. The seasonal species succession manifested irregular pattern and varied regionally and from year to year. A notable character of the annual phytoplankton structure is the substantial increase of coccolithophorids in May-June all over the basin.

Due to the high sensitivity of phytoplankton communities to external forcing as well as highly dynamic internal structure of the ecosystem, the frequency of sampling is critical for setting an adequate monitoring system for phytoplankton related indicators. Occasional high phytoplankton blooms observed during the present decade in many coastal waters requires a systematic monitoring. Monthly sampling is strongly recommended, while sampling during spring and summer is an imperative. Remote sensing ocean color data with an improved algorithm for coastal waters are crucial especially in spring-summer for capturing the spatial features of bloom events.

 

Appendix

Table 5.2. Abundance (cells/l) and biomass (mg/m3) of dominant and blooming phytoplankton species along the Bulgarian shelf in different periods.
  1954-1970   2000-2005 1980-2000
Taxa [106 cells/l] B [g/m3] Taxa [106 cells/l B [g/m3] [106 cells/l
Winter ����Bacillariophyceae
Skeletonema costatum 4.2 -5.7 Skeletonema costatum 2.3- 6.4 -3.9-15.0 43.47
Detonula confervaceae 2.4 -4.4-7.3 Detonula confervaceae 4.4
Pseudonitzschia seriata 2.6-4.3 Pseudonitzschia seriata 3.1
Cerataulina pelagica 9.8 Pseudonitzschia delicatissima
Chaetoceros similis Chaetoceros similis 0.9 7.7
Chaetoceros curvisetus Ditylum brightwellii
  Chaetoceros affinis
Dinophyceae
Glenodinium sp. Gyrodinium lachryma 1.06
Ceratium fusus Cyst Alexandrium 0.6
Prorocentrum cordatum Heterocapsa triquetra 0.8 24
Prorocentrum micans Protoperidinium divergens 0.97
Protoperidinium grannii
Ceratium furca, C. ��fusus
Akashiwo sanguinea
Microflagellates
   Microflagellates
  
  1954-1970   2000-2005 1980-2000
Taxa [106 cells/l] B [g/m3] Taxa [106 cells/l B [g/m3] [106 cells/l
Chrysophyceae
Apedinella spinifera  1.7
Coccolithus sp.
Spring�������� ������Bacillariophyceae
Cerataulina pelagica 22.9 Cerataulina pelagica 3.7   6.3
Chaetoceros curvisaetus 5.2 Chaetoceros socialis 11.8   3.5
Pseudonitzschia delicatissima 1.3 Pseudonitzschia delicatissima     3.1
Skeletonema costatum 10 Skeletonema costatum     35.8
Cyclotella caspia Cyclotella caspia 2.3   9.9
Thalassionema nitszchioides Chaetoceros similis   0.9  
Detonula confervaceae  Shroderella delicatula     4.8 
Pseudosolenia calcar-avis     3.6
Dinophyceae
Prorocentrum micans Prorocentrum cordatum 3.7 3.1 30.5-96.8
Ceratium fusus Heterocapsa triquetra 1.7-3.7 14.3 7.7-39.5
Protoperidinium crassipess Scrippsiella trochoidea 1.8    
Peridinium divergens Ceratium fusus   4.3  
Dinophysis acuta   0.66  
Akashiwo sanguinea   12.24  
Ceratium tripos      
Chrysophyceae      
Emiliania huxleyi 3.88-4.33- 4.7   3.2
Microflagellates      
Microflagellates 1.1-33.0   42.8
 
  1954-1970   2000-2005 1980-2000
Taxa [106 cells/l] B [g/m3] Taxa [106 cells/l B [g/m3] [106 cells/l
Summer���� ������Bacillariophyceae
Cerataulina pelagica   Cerataulina pelagica 1.8-6.4 11.3-15.3-12.0-2.5 6.8
Pseudonitzschia delicatissima   Pseudonitzschia delicatissima     1.4
Pseudosolenia calcar-avis   Pseudosolenia calcar-avis   23 1.8
Cyclotella caspia  0.6-2.1 Cyclotella caspia 1.1    
Thalassionema�� nitzschioidea Thalassionema�� nitzschioidea   2.8  
   Dactyliosolen fragilissimum   0.42 5.7-8.4
  Nitszchia longissima 3.2-5.9    
   Nitschia tenuirostris     20
  Chaetoceros affinisChaetoceros socialis 2.7   35.5
Dinophyceae
Prorocentrum cordatum  5.4 Prorocentrum cordatum 1.1 2.6-1.9 480
Prorocentrum micans Heterocapsa triquetra    
Ceratium fusus Scrippsiella trochoideaProrocentrum micans   0.7  
Peridinium crassipessDinophysis caudata   Ceratium fususCeratium furca   1.1  
      
  1954-1970   2000-2005 1980-2000
Taxa [106 cells/l] B [g/m3] Taxa [106 cells/l B [g/m3] [106 cells/l
   
 Gyrodinium spirale    
Dinophysis acuta      
Akashiwo sanguinea   12.24  
Ceratium tripos      
Chrysophyceae    
Emiliania huxleyi 1.7-1.8-2.3-3.1   52.9
Phaeocystis pouchettii 4.4   90
Cryptophyceae      
Ochromonas sp. 1.5 0.7-1.6  
Microflagellates      
Microflagellates 1.7    
Euglenophyceae      
Eutreptia lanowii     4.6
         
  1954-1970   2000-2005 1980-2000
Taxa [106 cells/l] B [g/m3] Taxa [106 cells/l B [g/m3] [106 cells/l
Autumn Bacillariophyceae
Sceletonema costatum 1.6   Skeletonema costatum 1.31-2.2-2.4   57.2
Pseudosolenia delicatissima 5.7  14.8 Pseudosolenia delicatissima     4.2
Dytilum Brightwellii Pseudosolenia calcar-avis      
Cerataulina pelagica 7.3 Pseudonitzschia seriata   2.6  
  Dinophyceae      
Prorocentrum micans Alexandrium monilatum   15.8  
Dinophysis caudateDinophysis sacculus Gymnodinium sp.   2.34  
Prorocentrum cordatum 0.4 Prorocentrum cordatum 1.02-3.48   60
  Goniaulax spinifera 2.9    
  Prorocentrum micansCeratium furca     2.91.2
  Chrysophyceae      
  Emiliania huxleyi 2.11-4.08   4.2
  Microflagellates      

Table 5.4. Maximum abundance (million cells/l) of species that caused phytoplankton blooms in the northwestern Black Sea in the 1954-1960s and in 1973-2005.

Species 1954�����1960s* 1973-2005
Bacillariophyceae    
Melosira granulata (Her.) Ralfs 1.8 2.9
Skeletonema costatum (Grev.) Cl. 32.0 30.6
Sk. potamos (Weber) Hasle   8.4***
Sk. subsalsum (A.Cl.) Bethge - 8.5
Thalassiosira parva и Th. subsalina Pr.-Lavr. 2.7 54.0
Cyclotella caspia Grun. 5.2 6.2
C. glomerata Bachm.   22.5***
Stephanodiscus hantzschii Grun - 20.8
St. socialis Makar. Et Pr.-Lavr - 4.9**
Leptocylindrus minimus Grun. - 16.0
L. danicus Cl. 72.0 28.0
Dactyliosolen ��fragilissimus (Bergon) Hasle. 0.1 12.2**
Chaetoceros affinis Laud. - 1.9
Ch. Insignis Pr.-Lavr. - 1.7
Ch. karianus Grun. - 4.0
Ch. socialis Laud. 5.4 16.7
Ch. rigidus Ostf. - 14.0**
Cerataulina pelagica (Cl.) Perag. 0.6 37.0
Diatoma elongatum (Lyngb.) Ag. 0.7 6.7
Synedra actinastroides Lemm. - 1.9
Asterionella formosa Hass. - 2.3
Nitzschia tenuirostris Mer. - 28.6
Cylindrotheca closterium (Ehr.) W.Sm. - 16.0
Pseudo-nitzschia seriata (Cl.) H. Perag. - 12.4
Surirella ovata var.salina (W.Sm.) Hust. - 10.7
Dinophyceae    
Prorocentrum cordatum (Ostf.) Dodge 4.3 224.0
Pr. micans Her. - 15.4**
Gymnodinium sphaeroideum Kof.�� - 4.0
G.simplex (Lohmann) Kof. et Sw. - 251.1
Akashiwo sanguinea (Hirasaka) G. Hans. et Moestr. - 140.0
Heterocapsa triquetra (Her.) Stein. - 18.0
Scrippsiella trochoidea (Stein) Balech ex Loeblich III - 125.4
Cyanophyceae    
Microcystis aeruginosa Kutz. 4.3 15.0
M. pulverea (Wood) Elenk. F. pulverea - 94.8
Gleocapsa minor (Kutz.) Hollerb. Ampl. - 2.6
G. minima (Keissl.) Hollerb. - 4.4
Merismopedia glauca (Her.) Nag. - 1.0
M. minima (Keissl.) Hollerb. - 22.0
M. punctata Meyer - 8.1
M. tenuissima Lemm. 44.8 8.2
Anabaena spiroides Kleb. 2.5 6.3
Aphanizomenon flos-aquae (L.) Ralfs 0.9 34.0
Oscillatoria kisselevi Anissim. - 147.0
Chlorophyceae    
Monoraphidium arcuatus Korsch. - 1.9
Scenedesmus obliquus (Turp.) Kutz. - 8.6
Sc. quadricauda (Turp.) Breb. Var. Quadricauda   1,4***
Micractinium pusillum Fr. - 6.6
Chrysophyceae    
Emiliania huxleyi (Lohm.) Hay & Mohler - 9.0
Dinobryon sp. - 4.0
Euglenophyceae    
Eutreptia lanovii Steuer - 1.7
   

* ����� Ivanov (1967); ** ����� Теrеnко, Теrеnко (2000); -*** Nesterova, Terenko, 2007

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��

CHAPTER 6 THE STATE OF ZOOPLANKTON (T. Shiganova et al.)

T. Shiganova, E. Musaeva, E. Arashkevich

P.P.Shirshov Institute of oceanology Russian Academy of Sciences

L. Kamburska(1), K. Stefanova(1), V. Mihneva(2)

(1)Institute of Oceanology, Bulgarian Academy of Sciences, Varna, Bulgaria

(2)Institute of Fishing Resources, Varna, Bulgaria

L. Polishchuk

Odessa Branch, Institute of Biology of the Southern Seas, NASU, Odessa, Ukraine

F. Timofte

National Institute for Marine Research and Development ���œGrigore Antipa���� (NIMRD), Constanta, Romania

F. Ustun(1), T. Oguz(2)

(1) Sinop University, Fisheries Faculty, Sinop, Turkey

(2) Middle East Technical University, Institute of Marine Sciences, Erdemli, Turkey

M. Khalvashi

Georgian Marine Ecology and Fisheries Research Institute, Batumi, Georgia

Ahmet Nuri Tarkan

Mugla University, Faculty of Fisheries Mugla, Turkey

6.1. Introduction

Zooplankton community structure serves as a critical trophic link between the autotrophic and higher trophic levels. On the one hand, zooplankton as consumer of phytoplankton and microzooplankton controls their abundance; on the other hand, it serves as food resource to small pelagic fishes and all pelagic fish larvae and thus controls fish stocks. The Black Sea zooplankton community structure is more productive but has lower species diversity as compared to the adjacent Mediterranean Sea. Many taxonomic groups that are wide-spread in the Mediterranean Sea are absent or rarely present in the Black Sea such as Doliolids, Salps, Pteropods, Siphonophors, and Euphausiids (Mordukhai-Boltovskoi, 1969). It consists of about 150 zooplankton species, of which 70 are mainly Ponto-Caspian brackish-water types and about 50 constitute meroplankton (Koval, 1984). They are euryhaline and thermophilic species of the Mediterranean origin as well as cold-water species of the North Atlantic boreal origin. The wide temperature range in the Black Sea (2-25oC) permits development of psychrophilic, eurythermic and thermophilic species. Therefore, their vertical distribution, seasonal and interannual dynamics are defined by their thermophilic properties.

Mass development of mixotrophic algae and changes in phytoplankton species composition provided a base for the development of zooplankters, both phytophagous and detritophagous (Zaitzev and Aleksandrov, 1997). The most important feature of zooplankton community after the 1970s was the change in species composition between various zooplankton groups. Some species almost disappeared, whereas some other species increased their abundance such as outbursts of gelatinous planktonic species Aurelia aurita and Noctiluca scintillans./ Opportunistic zooplankton species such as Acartia clausi greatly increased their abundance and share of trophic zooplankton. These events were most profound in the northwestern part of the sea, where the regional hydrochemical characteristics are primarily governed by the nutrient enrichment supplied from Danube, Dniester, and Dnieper runoffs.

The zooplankton community has been dramatically affected by the population outburst of alien ctenophore species Mnemiopsis leidyi after 1988 due to their intensive preying on edible zooplankton (Vinogradov et al., 1989; Shiganova, 1998). The ctenophore M.leidyi affected the physical properties by reducing the water transparency, and more significantly the biological properties by causing a cascade effect up on all trophic levels. Their strong grazing on zooplankton populations reduced food resources for planktivorous and predatory fishes, and favored phytoplankton growth. It also supported microplankton growth through mucous excretion, which then led to more abundant bacteria population and thus its predator ciliates and zooflagellates (Shiganova et al., 2004). The introduction of its predator Beroe ovata which came from either the Mediterranean Sea or eastern coast of North Atlantic through ballasts waters during 1997 helped later recovery of the ecosystem (Konsulov and Kamburska, 1998; Shiganova, 2000). B. ovata was first encountered in the western shelf (Konsulov and Kamburska, 1998 a) and the northeastern basin in the summer 1997 (Shiganova et al., 2004). In addition, the entire planktonic system has been affected by the severe climatic cooling regime in the 1980s followed by similarly strong warming regime of the 1990s and the early 2000s (Oguz et al., 2006). The present chapter provides a detailed account of these modifications of the zooplankton community structure in terms diversity, abundance and biomass in different regions of the Black Sea and outlines the present state (after 2000) with respect to the previous decades.

6.2. Ukrainian shelf area

Significant changes in total abundance, biomass, and community structure of zooplankton in the northwestern shelf are depicted in Table 6.1. Most noticeable change in the early phase of eutrophication was the increase of Noctiluca scintillans and medusa Aurelia aurita abundances, the main indicators of eutrophic waters. Aurelia biomass started increasing from negligibly low values (<50 g m-2) in the 1960s to around 500 g m-2 in the early-1980s (Fig. 6.1a). Similarly, Noctiluca share in the total zooplankton abundance changed from 35�����42% prior to the early- 1970s to more than 90% after the mid-1970s and in the 1980s (Fig. 6.1b). Therefore, eutrophication increased total non�����trophic zooplankton share in biomass and abundance, and reduced those of trophic zooplankton from 200-500 mg m-3 range and > 30000 ind.m-3 in the 1960s to < 100 mg m-3 and 10000 ind.m-3 within a decade (Fig. 6.1a, 6.1c). The declining biomass of Aurelia during the mid-1980s coincided with the period of more predominant control of Noctiluca on trophic zooplankton population due to its reproduction, growth, and food competition advantages with respect to Aurelia (Fig. 6.1d).

The edible zooplankton community structure also experienced a significant reduction in species diversity during the 1970s-1980s. Pontellidae, Paracartia latisetosa, Podon intermedius, Bryozoa larvae, Centropages ponticus, Penilia avirostris, Evadne spinifera, Pleopis tergestina, O. minuta, P. tergestina, E. spinifera disappeared due to high predation pressures and food competition by A. aurita and N. scintillans during the intense eutrophication (Table 6.1, Fig. 6.1b). A. clausi abundance was reduced; C. ponticus and Paracalanus parvus abundances were seriously endangered. Population explosion of the comb jelly M. leidyi aggravated the situation in the subsequent years.

SOE 2009 image

Fig. 6.1a. Long-term biomass changes of Aurelia, Mnemiopsis (left axis) and edible zooplankton (right axis) in the northwestern sector of Ukranian shelf waters. No Aurelia biomass data were reported after 2001. Data source: YugNIRO, Kerch, Ukraine, sorted out by Dr. A. Grishin, see�� Velikova V. and Chipev N. 2005.

Even though the changes in the average multi-year total zooplankton biomass in offshore areas along the southern cost of Crimea was not as high as in the northwestern part from the early 1960s to the mid-1990, edible zooplankton biomass also steadily decreased at the expense of higher share (>75%) of non-edible species Noctiluca scintillans and Pleurobrachia pileus (Table 6.2).

SOE 2009 image

Fig. 6.1b. Long-term changes in abundance (%) of mesozooplankton species in the Northwest part of the Black Sea (after Temnykh et al. 2006).

���� SOE 2009 imageSOE 2009 image

Fig. 6.1c. Long-term changes of mesozooplankton abundance (ind. m-3) in the Northwest part of the Black Sea (after Temnykh et al. 2006).

Table 6.1. Long-term dynamics of biomass (mg∙m-3) of the main species of zooplankton of the northwestern Black Sea (provided by Polischuk and Nastenko (1998) and Polyshchuk (2005) up to 1999, modified by L. Polishchuk afterwards).

Taxa 1951-60 1959-74 1975-80 1981-85 1986-89 1990-95 1996-99 2000-05 2006-007
N. scintillans 163.00 133.20 3366.00 3331.00 5262.00 733.10 2100.3 393.6 1736.1
A. clausi 36.00 40.20 46.40 32.10 64.00 16.10 14.2 82.7** 62.2**
P. parvus 8.00 8.20 2.40 0.90 1.70 0.08 0 0.5 0.03
P. elongatus 24.00 21.10 2.10 3.40 17.30 8.50 5.4 11.7 2.8
C. euxinus 3.00 17.00 0.09 1.40 2.10 0.40 0.1 0 0.4
C. ponticus 5.00 -- 0.06 0.90 0.40 0.01 0 0.02 0.1
O. minuta 8.00 4.80 10.70 13.50 6.30 0.00 0 0 0
O. similis -- 3.30 0.40 0.20 0.70 0.06 0.05 0.1 0.03
P. avirostris 26.00 -- 7.80 3.30 6.00 0.07 0.55 3.3 33.6
P.polyphemoides 6.00 -- 20.90 18.40 21.60 9.10 6.1 6.2 3.7
P. tergestina 4.00 -- 0.08 0.00 1.00 0.00 0 0 0.7
E. spinifera -- 0.07 0.02 1.00 0.00 0.01 0.002 0
P. pileus 49.00 87.60 43.30 30.50 25.20 36.50 0.6 140.1 84.0
P. setosa 24.00 7.30 6.80 5.50 3.30 0.40 0.5 11.8 6.2
Meroplankton 14.00 -- 29.20 33.50 6.70 20.20 72.1 31.9 23.0
Varia 14.00 54.00 59.90 36.20 45.60 68.90 39.7 113.7 12.4
M. leidyi           -- -- -- --
B. ovata             58.7 295.8 77.8
Total zooplankton 384.00 376.70 3596.20 3510.80 5464.90 893.40 2298.3 1091.5 2043.1
Trophic zooplankton 148.00 148.60 180.10 143.80 174.40 123.40 138.2 250.2 138.4
Non-trophic zooplankton 236.00 228.10 3416.10 3367.00 5290.50 770.00 2160.1 841.3 1904.8
% N. scintillans 42.40 35.30 93.50 94.80 96.20 82.00 91.4 36.0 84.9

��-- lack of data;�� ** together with A.tonsa.

Table 6.2. Average multiyear biomass (mg∙m-3) of total zooplankton and its main components in the 0-100 m layer in offshore areas near the southern Crimean coast.

Group of organisms Years
1960-70 1971-80 1981-88 1989-94 1994-95
Total zooplankton 346 328 287 -- 438
Trophic zooplankton 87 78 64 58 45
Noctiluca scintillans 199 150 141 -- 45
Pleurobrachia pileus 60 100 82 -- 348
% N. scintillans+P. pileus 75 76 78 -- 90
Mnemiopsis leidyi       12545 8383
Aurelia aurita       1795 2122
           

-- lack of data

 

Following the development of M. leidyi in the Black Sea up to 3000 g m-2 by 1989, N. scintillans and Aurelia biomass decreased abruptly and total abundance and biomass of trophic zooplankton continued to remain at low levels (Fig. 6.1a, 6.1c). This situation persisted until 1998, although Mnemiopsis biomass was reduced by half with respect to its early 1990s outburst period. Following the development of Beroe in 1998, the Mnemiopsis biomass reduced further at the expense of some recovery of Aurelia and Noctiluca. Trophic zooplankton biomass was affected positively by the Mnemiopsis decline. Its biomass increased 3-4 folds for two years (2000, 2001), but then dropped abruptly in 2002 and remained below 10% of total zooplankton biomass due to overwhelming domination of zooplankton community by N. scintillans (Table 6.1, Fig. 6.1a, 6.1d).��

Near the Zmeiny Island located in the Danube delta region and in Zhebriansky Bay (Fig. 6.2), observations in spring-summer 2005-2007 showed exceptionally high abundance of gelatinous zooplankton (comb jellies M. leidyi and B. ovata) contributing to 75% of the total zooplankton in August. In autumn, they were rarely encountered (M. leidyi ����� 11%, B. ovata ����� 8%) and the B. ovata population that was formed by small young specimens and larvae did not have a significant influence on the development of M. leidyi. The zooplankton biomass was lower in the Odessa region than near the Zmeiny Island (Fig. 6.3).

Table 6.3. Biomass (mg∙m -3) of main groups of dominating zooplankton species in the Danube estuary area in May and November 2004�����2005. 

  2004 2005
May November May November
Protozoa 29.979 10.523 359.798 1915.077
Noctiluca scintillans 29.877 10.523 359.555 1915.077
Rotifera 12.642 0.012 149.191 0.086
Synchaeta 5.653 0 128.174 0
Cladocera 4.690 0.080 30.544 76.908
Pleopsis polyphemoides 1.242 0.045 29.043 5.463
Penilia avirostris 0 0 0 67.515
Podonevadne trigona 0 0 0 3.700
Copepoda 21.502 118.658 61.575 644.237
Acartia clausi+ tonsa* 9.184 105.260* 41.997* 641.509*
Paracalanus parvus 0.039 2.608 0 0
Pseudocalanus elongates 4.740 3.459 1.887 0
Ctenophora        
Beroe ovata 0 753.279 0 3316.438
Mnemiopsis leidyi 0 + 0 0
Pleurobrachia pileus 0 0 214.610 0
Chaetognatha 0 3.933 0 82.863
Appendicularia 1.872 0.258 0.024 0.018
Meroplankton 22.317 18.780 99.810 38.128
Total zooplankton 93.002 905.523 927.465 6074.452
����� without�� B.ovata   152.244   2758.014
Non-trophic zooplankton (%) 32.100 84.800 61.900 87.500
����� without�� B.ovata   9.500   72.400
       

������ SOE 2009 image

Fig. 6.1d. Biomass (mg�·m-3) of edible zooplankton and Noctiluca scintillans in the Ukrainian (UK) coastal waters of the northwestern Black Sea (NWS) during 1953-2007.��

In the absence of M. leidyi after the B. ovata settlement into the Black Sea, the role of Cladocera and Copepoda in the zooplankton community structure increased (Fig. 6.1b). The Cladocera species P. avirostris and the endemic Ponto-Aral Podonevadne trigona, earlier quoted as rare species, became widespread in recent years whereas the density of Cladocera Pleopsis polyphemoides decreased. Among Copepoda, Acartia clausi and A. tonsa were observed at higher abundances for the first time since their disappearance. Pleurobrachia and Sagitta were also observed abundantly in some years. In the summer 2005, A. tonsa almost replaced A. clausi in terms of abundance and biomass in the Dnieper-Bug area (8456 ind�·m-3 and 85.7 mg�·m-3), the Tendrovsky Bay (10242 ind�·m-3 and 117.5 mg�·m-3) and the Egorlitsky Bay (29075 ind�·m-3 and 488.8 mg�·m-3). N. scintillans still dominated the total zooplankton biomass albeit the declining tendency by 56% in the Dnieper-Bug area, 43% in the Tendrovsky Bay and 15.6% in the Egorlitsky Bay. The frequency and abundance of Bryozoa larvae was also found in large quantities during the summer 2005 with respect to 1980s-1990s in these regions.��

SOE 2009 imageSOE 2009 image

Fig. 6.2. The regions studied most extensively in the NWS coastal waters during 2000-2007: 1 ����� Danube river mouth (Ukrainian part of the Danube Delta), 2 ����� Odessa Bay area, 3 ����� Grygorivsky Liman, 4 ����� Yagorlytska Bay, 5 ����� Tendrivska Bay.

SOE 2009 image������ SOE 2009 image������

Fig. 6.3. Edible, gelatinous, and Noctiluca biomass changes during 2003-2007 in the Danube discharge and Odessa regions.

Similar changes were also monitored in the qualitative and quantitative characteristics of zooplankton along the Crimean coast as they can be noted by the data collected in the Sevastopol Bay during 1976-2002 (Table 6.4). Abundance of M. leidyi and B. ovata in the Sevastopol Bay during 1999-2005 varied between 500-1000 ind.m-3 and 50-100 ind.m-3, respectively, whereas the corresponding abundances within the adjacent shelf were twice lower (Finenko et al., 2007). The timing of M. leidyi mass appearance changed �� 1 month around August depending on the mixed layer temperature. This period coincided with the initiation of B. ovata bloom that typically lasted for 3 months (September �����November).

Table 6.4. Long-term changes in annual and/or multi-annual average abundance (ind∙m-3) of main zooplankton species in the Sevastopol Bay.

  1976 1976�����80 1989�����90 2002
Cladocera        
Evadne spinifera <1 0 0 <1
Penilia avirostris 8 128 <1 219
Pleopis polyphemoides 445 1206 370 141
Pseudoevadne tergestina 0 0 0 4
Copepoda        
Acartia clausi+ tonsa 540 1121 443 857
A. margallifi (Acartia clause, small form) 1225 3923 0 0
A.latisetosa 2 19 0 0
Anomaloara patersoni <1 0 0 0
Calanipeda aquae-dulcis <1 0 0 0
Calanus euxinus 1 2 4 2
Centropages ponticus 16 315 1 52
Labidocera brunescens 0 <1 0 0
Oitona minuta (O.nana) 3464 2942 0 <1
O.similis 197 74 29 15
Paracalanus parvus 513 472 4 173
Pontella mediterranea 0 0 0 <1
Pseudocalanus elongates 273 63 58 30
Harpacticoida 43 55 19 7
Meroplankton 1759 3287 828 2280
Varia        
Hydromedusae <1 <1 <1 19
Oikopleura dioica 59 124 3 11
Parasagitta setosa 12 14 <1 34
Noctiluca scintillans 1065 5067 1703 115
Total zooplankton 10116 19454 3545 4113
         

From July to September, during the peak Mnemiopsis development, their daily mesoplankton biomass consumption decreased from 30-40% of the mesozooplankton biomass in 1995 (prior to the Beroe settlement) to 2-13% during 2000-2005. The daily ration of of Mnemiopsis larvae on microzooplankton was close or even higher than those on mesoplankton, and found around 23�����25% of microzooplankton biomass in August 2003.

SOE 2009 image

Fig. 6.4a. Mnemiopsis predation impact on mesozooplankton during July in Sevastopol Bay. Data source: Finenko et al. (2007).

SOE 2009 image

Fig. 6.4b. Meroplankton and Crustacean abundances during spring-autumn 1999-2002 in the Sevastopol Bay. Data source: Finenko et al. (2007).

Weaker and shorter predation pressure of M. leidyi on mesozooplankton after the arrival and establishment of Beroe, as shown in Fig. 6.4a by the reduction of its daily predation impact, resulted in higher mesozooplankton biodiversity and abundance. In spring-autumn 2000-2005, species composition in the Sevastopol Bay resembled that of 1990-1996. Evadne spinifera, Pseudoevadne tergestina, Pontella mediterranea and Oithona nana were found for the first time. The trophic zooplankton biomass increased two-folds and the abundance and biomass of N. scintillians significantly reduced, while those of meroplankton (Hydromedusae and Parasagitta setosa) increased from 310 ind.m-3 in 1998 to 2650 ind.m-3 in 2000-2002 (Fig. 6.4b) and decreased in the subsequent three years (Finenko et al. 2007). The mean abundance of Crustaceans increased 8 times during the same period (Fig. 6.4b). In the Cladocera group, as in the NWS, P. avirostris prevailed over the former dominant species Pleopis polyphemoides. These changes were evidently linked to the decrease in M. leidyi abundance due to the B. ovata predation.��

6.3. Romanian shelf area

Long term changes of zooplankton community structure in the Romanian coastal waters possessed large fluctuations not only in terms of biomass and density but also in species diversity. The research conducted at 5-30 nautical miles coastal zone (20-50 m) between 1960 and 1966 showed a well-defined seasonal community structure. Copepods Pseudocalanus elongatus and Calanus euxinus and, in some years, Oithona nana and O. similis were the predominant members of winter zooplankton community representing 98% of the total biomass every year. The summer zooplankton population was dominated by the Cladoceran Penilia avirostris and the Copepod Centropages ponticus. In some years, the non-trophic organism Noctiluca scintillans has been recorded as a part of the community structure although its population density was limited to several thousands species per cubic meter. Very high abundance of minute copepods Paracalanus parvus and Oithona nana dominated the autumnal zooplankton population with the total biomass comparable to the spring (Porumb, 1972). This structure has prevailed until 1975. Meroplankters were a predominant group of the zooplankton community in shallow waters above the sandy, rocky seabed.

After 1977, the total zooplankton abundance decreased and zooplankton population was mainly represented by the pollution-resistant Copepod species Acartia clausi and Oithona similis. The increase in total biomass of the zooplankton was mostly for the case of the biotope inhabited in the surface layer that was most exposed to pollution. The Cladoceran Penilia avirostris was also present in small numbers as compared to 1975 (Porumb, 1980). Species from the family Pontellidae (Anomalocera patersoni, Pontella mediterranea and Labidocera brunescens) diminished their populations. Some species were totally disappeared as in the case of the family Monstrillidae (Monstrilla grandis, M. helgolandica and M. longiremis).

Another eutrophication-induced structural modification in the zooplanktonic biocoenose was the reduction in abundance of some sensitive holoplanktonic species, such as the copepod Centropages ponticus and the cladoceran Penilia avirostris. In summers between 1960 and 1967, these two species attained their highest densities and biomasses and, together with copepod Anomalocera pattersoni, had produced the richest biomass (225.28 mg∙m-3) in 1967. They achieved last high biomass development in summer 1975 and then gradually reduced towards extinction and were substituted by other opportunistic zooplankton species. After 1994, the populations of these two species became more abundant again although they were sporadically appeared.

The copepod species belonging to the family Pontellidae (Anomalocera patersoni, Pontella mediterranea and Labidocera brunescens), which had once formed large concentrations particularly in the contact zone between the marine and fresh waters, suffered a considerable decline. Other zooplanktonic organisms which have been present in large numbers in the plankton of the Romanian littoral in 1960s (Monstrilla grandis, M. helgolandica and M. longiremis) have not been observed any more after the 1980s.

Table 6.5. Mean density (ind∙m-3) and biomass (mg∙m-3) of Noctiluca scintillans along the Romanian continental shelf during the 1970s and 1980s.

Year Density Biomass Year Density Biomass
1970/1971 4787 381.61 1978/1979 5937 474.94
1971/1972 14694 1119.03 1979/1980 15995 1276.38
1972/1973 1084 86.78 1980/1981 62676 5045.80
1973/1974 275 21.98 1982/1983 47241 3833.07
1974/1975 8097 639.89 1984/1985 17074 1365.89
1975/1976 1534 122.75 1985/1986 47999 3838.01
1977/1978 3945 312.35      

During 1980-1986, Copepods dominated zooplankton population with their annual-mean density exceeding 7100 ind∙m-3. The mean annual zooplankton biomass continuously increased due mainly to high summer abundance of the Copepod Acartia clausi and the Cladoceran Pleopis polyphemoides in response to the increase in primary production and the organic matter content. Copepods formed a peak in warm seasons (spring, summer and early-autumn) and provided a valuable food resource for planktivorous fish such as sprat Sprattus sprattus phalericus and anchovy Engraulis encrasicolus ponticus whose production also increased during this period.

One of the most important ecological modifications produced by the eutrophication in the pelagic ecosystem was the explosive development of the Cystoflagellate Noctiluca scintillans in the 1970s and 1980s, which has a negligible trophic value in the pelagic ecosystem. The biomass share of Noctiluca in the overall biomass of zooplankton increased eight-folds in 1980-1986 as compared to the 1970s with the mean annual density higher than 15900 ind∙m-3 and occasionally reaching up to 62600 ind∙m-3 (Table 6.5). This period was also characterized by population explosion of the scyphozoan jellyfish Aurelia aurita.

After 1988, there has been a significant decline in the quantity of major zooplankters which had a high trophic value for planktivorous fish both in shallow and offshore waters. These changes could be attributed to the pressure exerted by the zooplanktivorous comb jelly M. leidyi which was the most important exotic species introduced into the Black Sea in terms of its impact on the local fauna. The Mnemiopsis invasion had a significant impact upon the Romanian small pelagic fishery, whose stocks have declined dramatically since 1988. M. leidyi typically reached at its maximum abundance and biomass during summer and modified seasonal zooplankton dynamics. Instead of two zooplankton biomass and/or abundance peaks in spring (the lower one) and summer (the higher one), only the spring peak remained to exist (Petran and Moldoveanu, 1994; Petran et al., 1999).

Surveys conducted after 1993 revealed that Mnemiopsis leidyi, together with Aurelia aurita, accounted for 90% of the total zooplankton biomass until the settlement of the ctenophore Beroe ovata. Nevertheless, the first signs of ecosystem rehabilitation appeared at edible zooplankton community after 1994 due to the reduction of pollution and eutrophication as well as the shift of the Black sea hydro-climatic regime into the warm climatic cycle. Centropages ponticus and Penilia avirostris became more abundant after 1994 (Fig. 6.5).

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Fig. 6.5. Changes in Penilia avirostris and Pleurobrachia pileus abundances in Constantza region during 1982-2003.

After the invasion of ctenophore Beroe ovata and its active consumption of Mnemiopsis, the mean Mnemiopsis density 123 ind∙m-3 in the summer 1999 reduced to very low values after 2002. In the present decade, as the pollution and eutrophication continued to reduce and Mnemiopsis population was controlled by Beroe, the zooplankton biodiversity started to flourish as evident by growing populations of Anomalocera patersoni, Pontella mediterranea and Labidocera brunescens. The ctenophore Pleurobrachia pileus individuals, that were present in significant densities between 1982 and 1995, but they became almost extinct in the period of Mnemiopsis dominance, started regaining their ecological niche after 2001 once occupied by Mnemiopsis leidyi (Fig. 6.5).

The long-term edible zooplankton biomass changes within the upper 10 m of Romanian coastal and shelf waters during 1994-2007 has a declining trend from 350 mg m-3 to 50 mg m-3 in 1999-2007 irrespective of large interannual variations (Fig. 6.6). The edible zooplankton biomass possessed four distinct peaks at 1995, 1999, 2001 and 2003, of which the first two arise due to high summer abundance and the latter two due to high autumn abundance. The relatively high biomass measured within the uppermost 10 m layer of the water column in 1995 was initiated in February (10.5 mg∙m-3 in Mangalia station), increased gradually in spring and summer and reached its maximum value of 598.1 mg∙m-3 (in Mila station) in July. The spring and summer mean values of the edible zooplankton biomass attained about 120 mg m-3 and 210 mg m-3, respectively. Likewise, the biomass in summer 1999 varied between 23.769 mg∙m-3 at Sf. Gheorghe and 364.776 mg∙m-3 at Portitza.

SOE 2009 image������

SOE 2009 image

Fig. 6.6. Annual variations of edible zooplankton biomass (left) and relative abundances of edible zooplankton and Noctiluca (right) in the Romanian littoral zone 0-10 m layer.

The maximum edible zooplankton biomass in 2001 and 2003 was 1.2 and 1.3 times higher than in 1995, respectively. They were realized in autumn following very low summer values (Fig. 6.7).�� Although low trophic zooplankton biomass in summer 2001 was comparable to the 1970s and 1980s, it consisted of a more diverse structure comprising 13 and 17 species in near-shore waters of Mangalia and Portitza, respectively, that corresponded to the highest diversity index (3.70) for the summer season. Compared with the earlier years of mono-specific zooplankton populations that were mostly dominated by the opportunist copepod Acartia, the observed situation in the summer 2001 suggested a tendency toward normalization in the fodder zooplankton community structure. Following the unstable status of zooplankton structure during the eutrophication period and outburst of Mnemiopsis population, the cladoceran Penilia avirostris became more abundant in the recent decade and was measured up to a maximum value of 340 ind∙m-3 in 2001 (Fig. 6.5).

SOE 2009 image

Fig. 6.7. Seasonal changes of trophic zooplankton along the Romanian littoral zone in the upper 10 m layer during 1994-2007.

Low edible zooplankton biomass in 2002 was due to dramatic population outburst of non-trophic species Noctiluca scintillans that constituted 98% of the total zooplankton biomass (Fig. 6.6, right). Its population outburst resembled the 1970s when the eutrophication syndrome first started due to proliferation of planktonic algae. The highest edible zooplankton biomass was only 11.18 mg∙m-3 in Portitza and remained below 1 mg∙m-3 within the rest of the region studied.

In 2003, the highest biomasses of edible zooplankton were registered in autumn (139.9 mg.m-3), that was 12.8 times higher than in the summer and 1.8 than in the spring. As for the spatial distribution, the richest quantities were found off the northern littoral (Sulina - 277.63 mg.m-3, Portita - 185.536 mg.m-3). On the other hand, the mean trophic biomass was very low (16.7 mg∙m-3) due to high Mnemiopsis predation impact but zooplankton community was richer in diversity in the summer 2003. The gelatinous and non-trophic species Noctiluca scintillans (449.29 mg.m-3) and Mnemiopsis leidyi 1939.549 mg.m-3) abundantly developed and suppressed the development of fodder species.

2004 and 2007 were also unproductive years in terms of edible zooplankton. 2005 and 2006 did not include autumn surveys and therefore it is unclear whether the edible zooplankton community experienced high production. But the summer biomass was again low due to dominance of the gelatinous and non-trophic species. In 2007, trophic zooplanktonic biocoenosis was represented by 26 taxa pertaining to 16 taxonomical groups in spring, summer and autumn. Maximum values of total trophic zooplankton density (12211 ind. m-3) and biomass (993.6 mg m-3) were registered along southern littoral off Costinesti in summer. But, on the average, the trophic zooplankton biomass was one of the lowest (50 mg m-3) since the beginning of 1990s. Among the exotic species, dominant forms were the ctenophores Mnemiopsis leidyi and Beroe ovata.

Thus, during 2000-2007, the non-trophic species Noctiluca scintillans and Mnemiopsis leidyi abundantly developed during the summers, even though they were lower than in the eutrophication period. They exerted great deal of interannual variability in the development of fodder species over a marked declining trend.

6.4. Bulgarian shelf area

Investigations on zooplankton community along the Bulgarian Black Sea coast started at the beginning of the 20th century (Chichkoff, 1912, Valkanov, 1935, 1936). The taxonomic structure, diversity, distribution and ecology were the main target of scientific interests, especially after the 1960s. More recent investigations after the intense eutrophication in the 1970s-1980s were focused on trends in the zooplankton fauna. Below, the changes in zooplankton assemblages in the Bulgarian coastal waters is presented using data derived from samples collected in various cruises in the shelf (< 200m depth; 30 sampling stations) and offshore (> 200 m depth; 10 sampling stations) as well as the time-series station located at 3 miles offshore of the Cape Galata (43��10' N , 28��10' E ) and the monitoring network in Varna Bay-Varna-Beloslav Lakes during 1990-2005.

In the pre-eutrophication period, the zooplankton community structure along the Bulgarian coast included phylum Protozoa, Cnidaria, Nemathelminthes, Annelida, Mollusca, Arthropoda, Chaetognatha, Chordata and Ctenophora. Copepods of genus Acartia, Paracalanus, Oithona mostly occurred inshore, while Pseudocalanus and Calanus were regularly observed in offshore waters. Cladocerans, such as Evadne spinifera, E. tergestina, Penilia avirostris, Pleopis polyphemoides, co-dominated the summer and fall community structure. Parasagitta setosa (Chaetognatha) and Oikopleura dioica (Appendicularia) were also co-dominant species. Benthic larvae (mainly Cirripedia, Polychaeta, Decapoda, Mollusca) contributed substantially to the inshore abundance structure. Usually, the estuaries and lagoons were enriched by brackish and fresh water species. Coastal areas (Varna and Beloslav lakes) were regularly abundant in rotifers (Kamburska, Stefanova, 2002).

This taxonomic composition, however, significantly changed during the intense eutrophication period (i.e. the 1990s) and afterwards (Table 6.6). While A. clausi, P. parvus, O. similis became a permanent component of the plankton fauna, other copepods such as Pontella mediterranea and Anomalocera patersoni were almost lost. The former species groups were occasionally recorded during the 2000s (Table 6.6). Similar trend was evident for warm-water copepods O. nana and C. ponticus (=C. kr��yeri pontica). The non-indigenous A. tonsa that was first recorded in the Black Sea during the 1970s (Gubanova et al., 2001) has been reported again in the Bulgarian coastal waters after 2000 (Kamburska, 2004). Regarding cladocerans, small-sized Pl. polyphemoides occurred frequently whereas E. spinifera, E. tergestina, E. nordmani, P. avirostris, Podon leuckarti were scarcely distributed (Table 6.6).

From biodiversity perspective, the indices of species richness and evenness of zooplankton assemblages fluctuated considerably during the last ten years between 17 and 25. The evenness index of summer-autumn community became temporarily as high as 0.78 for a year and then became comparable to the early 1990s in the subsequent years. The Shannon diversity index similarly exhibited large fluctuations (Table 6.7). They all indicated species disproportion in the abundance structure and can be considered as a symptom of community instability, not ignoring also the natural (seasonal, annual) variability of the zooplankton associations.

 

Table 6.6. Taxonomic composition of dominant groups in spring-summer at 3 miles station at Cape Galata (st. 301) including Varna Bay

��(������ �� recorded; ���������� ����not recorded).

Species Years
1954-1967 1984-1987 1991-1995 1996-1997 1998 1999 2000 2001 2002 2004 2005
Copepoda
Acartia clausi
Acartia tonsa
Paracalanus parvus
Oithona similis
Pseudocalanus elongatus
Calanus euxinus
Anomalocera patersoni
Pontella mediterranea
Oithona nana
Centropages ponticus
Calanipeda aquae dulcis
Cladocera
Pleopis polyphemoides
Podon leuckarti
Penilia avirostris
Evadne nordmani
Evadne tergestina
Evadne spinifera

Table 6.7. Number of zooplankton species (S), the Shannon-Wiener index (H) and the Pielou�����s evenness index (J) by years in summer-autumn in the Varna Bay.

Sampling area Years
Varna Bay 1990-91 1996 1997 1998 1999 2001-02 2004-05
S 17 21 23 24 21 25 22
J 0.60 0.69 0.80 0.78 0.57 0.64 0.66
H 2.44 3.02 3.30 3.01 2.50 3.14 2.93
               

 

Long-term changes: Varna Bay is one of the hot spots due to its highly disturbed ecosystem from direct and indirect human impacts. High nutrient and particulate and suspended organic matter, pesticides and other pollutant loads together with limited vertical water exchange give rise to frequent oxygen deficiency near the bottom (Stefanova et al., 2006a; 2007). Its total zooplankton abundance increased from 3660 ind. m-3 in 1996 to 38756 ind.m-3 in 2001-2002 followed by a reduction to ~11876 ind.m-3 in 2004-2005 (Fig. 6.8a). Both the percentage share and abundance of N. scintillans decreased continuously after 1990 contrary to increasing role of first Meroplankton and then Copepoda up to 2000-2001 (Fig. 6.8a, 6.8b). This trend however changed during 2004-2005 due to reduction in Meroplankton abundance and increase in Copepoda abundance, although meroplankton still constitutes the highest biomass share in total zooplankton biomass.

SOE 2009 image

��SOE 2009 image

Fig. 6.8. Interannual variations of total zooplankton abundance (ind. m-3) and percent share of key taxonomic groups in Varna Bay.

The community structure shifted over the decades also in front of the Cape Galata especially in summer. Cladocera and Copepod populations which were abundant in the late 1960s-early 1970s decreased during the 1990s and the early 2000s with the exception of summer 2005 (Table 6.9). Four sampling campaigns performed during summer periods in 1998-2001 disclosed that Copepods, Cladocerans and benthic larvae dominated the abundance structure in the surface homogeneous layer (SHL) (Fig. 6.9). Copepods and Cladocerans constituted 80 % of the total biomass in the layer above the thermocline. Besides, the amount of Oicopleura dioica was also high together with benthic larvae which varied from 28 % to 51 % of the total abundance. The contribution of Cladoceran biomass was much higher in 2000-2001 varying in the range of 40 % to 56 %.

SOE 2009 imageSOE 2009 image

Fig. 6.9. Vertical distribution of total edible zooplankton abundance and biomass by taxonomic groups [in %] in surface homogeneous layer (SHL) and the sub-thermocline layer (TK) off the Bulgarian Black Sea coast during summer period 1998-2001.

In regards to the sub-thermocline layer (TK), the Copepoda group dominated the abundance and biomass structure (Fig. 6.9). The zooplankton biomass was higher at shelf stations along with steady decrease from north to the south and towards the open sea with some exceptions (Table 6.9). For instance, the lowest biomass (5 mg m-3) was recorded in the shelf during summer 1998. The increase afterwards was due to enhanced amount of Cladocerans biomass. In addition, large aggregates of C. euxinus were noted along the coast of Cape Kaliakra and at an offshore station during summer 2000.

Table 6.8. Summer mean abundance of dominant taxonomic groups [ind.m-3] at 3 miles offshore of the Cape Galata.

Periods/Groups 1967-69 1970-79 1980-89 1990-99 2000-04 2005
Copepoda 9986 10368 8805 3388 1319 3612
Cladocera 12865 4816 2946 1222 471 7673

The period 1990-2005 involved significant inter-annual variations such as the decline of M. leidyi in 1991‑1993, the introduction of B. ovata in 1997, and climatic changes. The period 1990-1997 was characterized by large amount of M. leidyi and subsequent strong decrease in mesozooplankton abundance (Fig. 6.10) and biomass (Fig. 6.11). Later, once Mnemiopsis was controlled by its predator Beroe and reduced to moderate concentrations depending on environmental conditions (Kamburska, Stefanova, 2005).

SOE 2009 image

Fig. 6.10. Long-term changes of Copepoda+Cladocera, M. leidyi and B. ovata abundances (log transformed) and SST anomaly at 3 miles off the Cape Galata during summer 1967-2005 ( from Kamburska et al., 2006b).

The distribution of M. leidyi manifested considerable time-space variability after 1997; its abundance was confined into the warm surface mixed layer above the thermocline and much higher in the shelf compared to offshore area (Fig. 6.12). M. leidyi was more abundant in summer 2000-2002 and 2004, but it was rare in 1999, 2003 and 2005. Due to such strong year-to-year fluctuations, individual years may be identified as ���œpoor����, ���œnormal���� or ���œrich���� if 40 ind.m‑3 gelatinous plankton is accepted as the threshold bloom concentration. Accordingly, 1999, 2001, 2003 and 2005 are classified as ���œpoor���� years with rare and/or almost absent populations of trophic zooplankton. The changes in mesozooplankton structure therefore can not be attributed alone to the impact of B. ovata and should likely be affected by anthropogenic and climatic factors (Oguz, 2005). The Black Sea maintained warm SSTs after the mid-1990s similar to those observed prior to 1980 (Oguz, 2005, Oguz and Gilbert, 2007). Winters became gradually warmer, springs colder, and the summers were short and hot during 1995-2000. On the other hand, anthropogenic nutrient and pollutant loads diminished due to the limited use of fertilizers in agriculture after the beginning of 1990s (Moncheva et al., 2002). Furthermore, long-term data revealed a decreasing trend of salinity in front of the Cape Galata to 10 miles offshore (Dineva, 2005). Both the augmented temperature and decreased salinity of surface waters contributed to enrichment of Cladocerans (Kamburska et al., 2006a).

Table 6.9. Mesozooplankton biomass statistics by areas (shelf, open sea) during summer period 1998-2001 (number of observations, n=250).

Year,
Region
1998 1999 2000 2001
Mg.m‑3 mg.m‑3 mg.m‑3 mg.m‑3
Shelf
Total 577.31 2503.76 1394.8 620.9
Mean �� stdev 30.4 �� 18.4 119.2 �� 153.9 51.7 �� 28.9 62.1 �� 42.2
Minimum 5.2 7.64 14.5 12.3
Maximum 71.7 636.72 121.8 168.1
Open sea
Total 479.2 106.9 408.7 -
Mean �� stdev 95.9 �� 34.5 26.8 �� 11.0 58.4 �� 45.9 -
Minimum 49.8 12.4 14.9 -
Maximum 131.3 38.4 147.8 -
SOE 2009 image

Fig. 6.11. Long-term changes of annual-mean edible zooplankton biomass at 3 miles off the Cape Galata and its average over the Bulgarian coastal waters.

��

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Fig. 6.12. Mean and maximum abundances of Mnemiopsis leidyi [ind.m‑3] in the Bulgarian shelf and open sea areas during summer 1998-2005 (number of observations n=172).

The heterotrophic dinoflagellate N. scintillans was a dominant component of the zooplankton community structure with frequent and massive blooms during the early and intensive eutrophication phases (Fig. 6.13). It was regularly found at inshore waters, but large aggregates also occurred in offshore waters (Konsulov, Kamburska, 1998b). The decreasing trend of its abundance in the post eutrophication phase (Fig. 6.13) was partly due to a reduction in eutrophication as well as its competitive disadvantage of food consumption against Mnemiopsis. Mucus excretions by Mnemiopsis may also likely limit its growth and distribution. The summer-autumn mean Noctiluca abundance displayed some increase during 2003-2005 even though it was lower than the eutrophication period. Their large blooms were still frequent in the early summer and/or autumn seasons, but their duration was relatively short with respect to the eutrophication period. Assuming the biomass abundance ratio as 0.08, their biomass during 2004-2005 is around 1000 mg m-3.

SOE 2009 image

Fig. 6.13. N. scintillans spring-autumn mean abundance (ind.m-3) along the Bulgarian coastal waters.

Seasonal Changes: Trophic zooplankton abundance along the Bulgarian shelf during 2002-2006 revealed a linear trend of increase from low winter abundance (< 5000 ind. m-3) to highest abundance (>18000 ind. m-3) in July (Fig. 6.14a). N. scintillans follows trophic zooplankton and its population started building up in April and reached more than 10000 ind. m-3 in June-July (Fig. 6.14b) and therefore limited to some extent trophic zooplankton abundance. This period (spring-early summer) also involved weak development of A. aurita with a typical biomass of 50 g m-2 possibly due to its competitive disadvantage of consuming zooplankton against Noctiluca (Fig. 6.14c). Its high biomass (~200 g m-2) in September 2004 coincided with the low M. leidyi and Noctiluca biomass. Starting by August, trophic zooplankton abundance decreased abruptly and remained below 5000 ind. m-3 when M. leidyi biomass elevated up to 250 g m-2 in August-September (Fig. 6.14d). This peak biomass season of M. leidyi lasted only 2 months and dropped significantly by October due to the grazing impact of B. ovata.

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Fig. 6.14a. Seasonal changes of trophic zooplankton abundance along the Bulgarian shelf waters in 2002-2006.

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Fig. 6.14b. Seasonal changes of Noctiluca scintillans abundance along the Bulgarian shelf waters in 2002-2006.

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Northwestern part of the Black Sea
 
����SOE 2009 image

Fig. 6.14c. Monthly changes of Aurelia aurita biomass (g m-2) along the Bulgarian shelf waters in 2002-2007 (with data from the north-western region in 09.2004). The red line depicts the average of all monthly data in Bulgarian waters.

Northwestern part of the Black Sea
 
SOE 2009 imageSOE 2009 image

Fig. 6.14d. Monthly changes of Mnemiopsis leidyi biomass (g m-2) along the Bulgarian shelf waters in 2002-2006 (with data from the north-western region in 09.2004). The red line depicts the average of all monthly data in Bulgarian waters.

6.5. Turkish shelf area

The time series measurements performed in front of the Cape Sinop situated at the central sector of the southern coast suggested relatively low annual-mean zooplankton biomass with respect to western coastal waters during 1999-2005 (Fig. 6. 15).�� The sum of edible and non-edible (Noctiluca) biomass was maintained around 100 mg m-3 in 1999, 2004, 2005 whereas it was at least twice lower in relatively cold years 2002-2003. In all cases, more than 70% of the total biomass was formed by the non-edible zooplankton group which was mainly composed by Noctiluca scintillans, the main indicator species of eutrophic waters. Noctiluca biomass was particularly dominant in the winter and early-spring during the cold year 2003 and in the spring and summer (up to a maximum of 20 g m-2) during the subsequent relatively warm year, 2004 (Fig. 6.16). In terms of abundance, both edible zooplankton and Noctiluca varied in the range 0-4000 ind. m-3 during 1999-2005 that was two-to-three times smaller than in the Bulgarian shelf (Fig. 6.17) and therefore can not be considered as the bloom level.

Edible zooplankton was mostly dominated by Copepoda throughout the observation period (Fig. 6.18). Highest edible zooplankton abundance and biomass was recorded in February-March during 1999, 2000, and 2003, but shifted to the late summer-early autumn in 2004, 2005 (Fig. 6.16, 6.17). N. scintillans generally dominated zooplankton community in late-spring and summer months. Edible zooplankton abundance reduced substantially during the months of high N. scintillans abundance (Fig. 6.16, 6.17) as well as of high Mnemiopsis abundance (Fig. 6.19) that was generally lower than 50 ind.m-2 except twice higher abundance during the summer 2003. Copepoda and Noctiluca contributed almost equally to the total zooplankton population during 2004 and 2005, but Copepoda was more dominant in other years (Fig. 6.15).

���������� SOE 2009 image

Fig. 6.15. Annual mean biomass (mg.m-3) of the total zooplankton, fodder zooplankton and Noctiluca scintillans off the Cape Sinop (in the central sector of the southern coast) during 1999-2005. Data sources: Unal, (2002), Ustun (2005), Bat et. al. (2007), Ustun et. al. (2007).

SOE 2009 image

Fig. 6.16. Monthly biomass (g.m-2) changes of edible zooplankton and Noctiluca scintillans off the Cape Sinop (in the central sector of the southern coast) during 2002-2004. Data source: Ustun (2005).

1999
 
2000
 
2005
 
2004
 
2003
 
2002
 
SOE 2009 image

Fig. 6.17. Abundance (ind.m-3) variations of trophic zooplankton and N. scintillans off the Cape Sinop (in the central sector of the southern coast) during 1999-2005.

���������� SOE 2009 image

Fig. 6.18.�� Annual variation of zooplankton community structure abundance (%) in in the sea off Sinop.

SOE 2009 image

Fig. 6.19. Variations of edible zooplankton and jelly abundance (ind.m-3) and sea surface temperature off the Cape Sinop (in the central sector of the southern coast) during 2002-2004.

6.6. Georgian shelf area

Research on zooplankton biodiversity of the south-eastern Black Sea was limited. The data from pristine phase 1955-1957 (Table 6.10) indicated edible zooplankton biomass around 100��50 mg m-3 within the upper 25 m layer, of which 70-80% was produced during the spring-summer months. Owing to more enhanced production, abundance and biomass of trophic zooplankton formed mainly by Protozoa, Copepoda, and Cladocera increased two-folds during the 1990s but they were subject to high year-to-year variations (Fig. 6.20). The N. scintillans contribution to the total zooplankton biomass reduced from 50% in 1995 to 5% in 2002. The data further showed reappearance of Pontellidae Pontella mediteranea after 2002 that indicated recovery of the regional ecosystem.

��The comparison of annual-mean biomass of the upper 100 m layer from 1950s with the recent data from the 1990s and early 2000s suggested an increase from less than 75 mg m-3 up to a minimum of ~150 mg m-3 during 1996 and 2002 and a maximum of around 500 mg m-3 during 1998-1999 corresponding to the strong Beroe impact on Mnemiopsis population. The edible zooplankton biomass reduced gradually in the following years up to ~130 mg m-3 at 2002. However, even this minimum biomass registered in 2002 was higher than the maximum biomass measured at Galata site of the Bulgarian coastline during the same period.

Table 6.10. Annual changes of the trophic zooplankton biomass (mg∙m-3) in the south-eastern part of the Black Sea.

 Months 1955 1956 1957
(25-0 m) (100-0 m) (25-0 m) (100-0 m) (25-0 m) (100-0 m)
January 44.5 34.7 23.4 48.5 - -
March 76.6 66.6 11.4 18.0 95.0 65.0
May 69.7 95.1 - - 145.0 89.3
Jun 38.8 33.8 191.5 121.0 100.4 62.2
July 41.4 22.7 56.0 43.3 99.6 53.8
August - - 69.8 31.3 305.4 98.1
Total 271 252.9 352.1 262.1 745.4 368.4
Average 54.2 50.6 70.4 52.4 149.1 73.7
             

SOE 2009 image

Fig 6.20. Annual-mean trophic zooplankton (Protozoa, Copepoda, Cladocera) biomass (mg m-3) variations in the Georgian waters during 1955-1957 and 1990-2002 within the upper 100 m layer.

6.7. Northeastern shelf area

The north-eastern part of the Black Sea has been monitored regularly by P.P.Shirshov Institute of Oceanology, Russian Academy of Sciences. The most important feature of zooplankton community structure after the early-1970s was the change in species composition and quantitative proportions between various groups of zooplankton species. The species of Copepoda and Pontelidae (e.g. Anomalocera patersoni, Pontella mediterranea, Labidocera brunescens) were the first victims of heavy pollution in the surface layer and their abundance declined to a negligible level in 1983 even though Pontella mediterranea was rather common in the open waters until the end of 1980s. Abundances of Oithona nana and Centropages ponticus were also reduced considerably in the early 1970s. Thus, the degradation of the zooplankton community started well-before the Mnemiopsis invasion. As the proportion of trophic zooplankton decreased, its species composition changed the proportion of non-trophic zooplankton, first Noctiluca scintillans then jellyfish Aurelia aurita increased. The significant increase of non-trophic zooplankton population and its grazing on large and small zooplankton and phyto- and microplankton led to worsening of the zooplankton community structure. The conditions also favored establishment of the new gelatinous warm-water ctenophore species M. leidyi. Within the warm surface layer, it found optimal conditions of temperature, salinity, and productivity, and hence reached extremely high abundances by the end of the 1980s.

SOE 2009 image
SOE 2009 image

Fig. 6.21. Interannual variations of summer M. leidyi and N. scintillans abundances indicating their negative correlation for (a) inshore waters (r = �����0.3) and (b) offshore waters (r = �����0.4 p < 0.02) of the north-eastern basin.

Heterotrophic dinoflagellates Noctiluca scintillans was the first gelatinous organism that reached at an enormously high biomass in response to intense eutrophication during the 1980s. Later, its abundance decreased by strong food competition pressure exerted by Mnemiopsis (Fig. 6.21). During the first years of intense M. leidyi development (1989�����1991), the Noctiluca scintillans abundance dropped due to food competition advantage of M. leidyi as both of them feed on similar food resources (Greze, 1979). This is supported by the negative correlation between their summer abundances shown in Fig. 6.21. This correlation was partly controlled by the severity of climatic regime.

SOE 2009 image
SOE 2009 image

Fig. 6.22. Interannual variations of Aurelia aurita abundance in near-shore and offshore waters during (a) spring and (b) summer months, as well as of the mean spring and summer temperatures. The data are complied from various sources: Shushkina and Musaeva (1983); Shushkina and Arnautov (1987); Flint, Arnautov, and Shushkina (1989); Shiganova et al. (2003, 2006).

As M.leidyi tended to have lower abundance after cold winters, N. scintillans attained higher abundance due to lack of its competitor. Conversely, being a boreal cold-water organism, N. scintillans had more favorable reproduction capability in the years with cooler late-spring (May�����June) temperatures after more severe winters. In contrast, being a thermophilic species M. leidyi lived in the warm surface layer and reproduced better in warm climatic years. In the years with low M. leidyi control, N. scintillans abundance generally exceeded 20000 ind. m-2 and reached occasionally at 50000 ind. m-2, that was much higher than in the Bulgarian shelf and comparable to the NWS.

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Fig. 6.23. Interannual variations of Aurelia aurita and Mnemiopsis leidyi abundances in coastal and offshore waters of the northestern basin during (a) spring, (b) summer months.

Aurelia aurita is also a cold-water species and more commonly distributed in boreal waters despite its presence in different climatic zones. Therefore, its abundance also likely followed the interannual climatic variations.�� During cooler spring phases, its abundance was higher due to more favorable winter generation at minimal winter temperatures of 7�����8 oC (Fig. 6.22a). Its correlation with spring temperatures is r = �����0.38 for coastal waters and r = 0.7 for cooler offshore waters (p < 0.01). A similar trend was also noted for the case of lower summer temperatures with the correlation of r = �����0.28 and r = �����0.5 (p<0.02) for coastal and offshore regions (Fig. 6.22b). Up to 90% of its individuals were aggregated in the thermocline layer where the temperature is precisely 8�����11oC and the subsequent Cold Intermediate Layer at depths of 30�����50 m (Fig. 6.22b). But their accumulation was observed to extend up to 70�����80 m depths, and small individuals were present in the mixed layer at the temperature range of 19�����20 oC as well (Shushkina and Arnautov, 1987). In the near-shore zones, they settled relatively cold waters near the bottom during warm periods (Gomoiu and Kupriyanov, 1980; Zaitsev, 1998; Shiganova, 2000).

Medusas physiological food demand amounts to 9�����13% of the total primary production which may be realized at a level of 95�����100% throughout the year. This implies that they can consume 34�����67% of the total mesozooplankton production or 47�����90% of the Copepod production. Increasing Aurelia aurita population therefore impose a strong negative influence on trophic zooplankton. Their detritus consumption, on the other hand, is relatively insignificant and roughly corresponds to the non-assimilated part of their ration.

A.aurita is not an obligate zooplanktivorous predator such as M. leidyi, and its ration may contain detritus, alga cells, and aggregates of bacteria. Moreover, their populations were disconnected from M. leidyi population that was largely confined into the surface mixed layer. Nevertheless, its abundance sharply dropped with the appearance of M. leidyi. In the years with high M.leidyi abundances, its both spring and summer populations decreased drastically (Fig. 6.23). Their correlation was respectively r= �����0.38 and r= �����0.7 (p < 0.01) for coastal and offshore waters in the spring and r= �����0.28 and r= �����0.5 (p<0.02) in the summer.

The absence of its predator and being a better competitor with respect to A. aurita and N. scintillans allowed M. leidyi to reach high abundance and biomass and to introduce enormous influence on the ecosystem. Edible zooplankton, meroplankton, and eggs and larvae of fishes were the main food resources for juvenile and adult individuals of M.leidyi. Therefore, it directly and most strongly affected their abundance, biomass, and species composition. The correlation between edible zooplankton and M.leidyi biomass in August prior to the settlement of Beroe is r = �����1 (p < 0.01) (Fig. 6.24).

M. leidyi was capable of consuming unlimited trophic zooplankton without any satiety as long as the zooplankton concentration higher than 3000 ind.m�����3 (Tsikhon-Lukanina et al., 1992). Although it had no food selectivity, it preferred small-sized preys in the range 0.75-1 mm. In the near-shore waters, its food was more diverse than in the open sea and its gastrovascular cavinity most often contained larvae of bivalves (Sergeeva et al., 1990; Tsikhon-Lukanina et al., 1991). Food objects might however change depending on the region, season, and even time of the day, varying also with the changes in species composition of zooplankton available. The most intensive feeding of M. leidyi was noted in the evening and about midnight (Sergeeva et al., 1990, Shiganova, 2000).

���� SOE 2009 image

Fig. 6.24. Interannual variations of zooplankton biomass (mg m-2) and M. leidyi abundance (ind. m-2) before the B. ovata appearance.

M.leidyi appeared in selected regions of the Black Sea in spring 1988, but spread over the entire basin in summer 1988. The studies performed as early as in August-November 1988 showed large drop in zooplankton biomass (Fig. 6.24). In summer 1989, when M.leidyi reached its maximal development with respect to its abundance and biomass, the zooplankton community deteriorated even stronger (Fig. 6.24). This first affected small-sized zooplankton species; biomass of nanophages less than 1 mm in size decreased from 3 g m�����2 in spring 1988 to 0.2 g m�����2 in September. The abundance of Acartia clausi, Oithona nana, O. similis, adult Paracalanus parvus, and Parasagitta setosa experienced a decreasing trend (Fig. 6.25, 6.26). While their abundance was as high as 1000 ind. m�����2 during the years prior to the M.leidyi appearance (Pasternak, 1983), only three Parasagitta setosa individuals were sampled at all stations in September 1988 (Vinogradov et al., 1989). In addition, the Copepods Centropages ponticus and Paracalanus parvus were represented by single individuals. Oithona nana and representatives of the Pontellidae family and Parasagitta setosa disappeared by 1990. Starting from 1990, a decrease in the abundance of other planktonic species was observed such as Oithona similis, Acartia clausi, all the Cladocera species, and Oikopleura dioica, as well as Calanus euxinus that dwelled in deeper layers (Fig. 6.25, 6.26). Calanus euxinus executed vertical migration to subsurface layers in the night-time, where it became available for M.leidyi.

In 1991 and 1992, the total abundance and biomass of zooplankton decreased drastically (Fig. 6.24). During the first years of its development, M. leidyi therefore strongly affected the abundance, biomass, and species composition of the Black Sea zooplankton in coastal regions. As M.leidyi dwelled in the upper mixed layer and reached at its highest abundances in the summer, its first victims were the near-surface species of zooplankton that developed in the warm period of the year as well as the species that migrated to the surface layers for feeding.

In the exceptionally cold year 1993, the abundance and biomass of M.leidyi decreased (Fig. 6.24). The species diversity and abundance of selected zooplankton species, such as Pseudocalanus elongates, Calanus euxinus, and Oithona similis, increased in summer in the open waters owing to the low abundance of M.leidyi (Fig. 6.26). An increase in the abundance of the eurithermal Acartia clausi was observed in the near-shore waters (Fig. 6.25). The total abundance of edible zooplankton, however, remained very low (Fig. 6.24). Parasagita setosa was also noticed (Fig. 6.25). Among thermophilic species, significant amounts of Penilia avirostris were recorded. The species diversity and abundance were higher in the near-shore waters (Fig. 6.25) although even Centropages ponticus, which was absent in the previous years, was encountered in open waters (Fig. 6.26). However, the decrease in the abundance of eurithermal species all-year-round by 1993 was very high both in the open and near-shore waters with respect to the previous years.

The edible zooplankton diversity index was changing in the range 1.35�����1.8 in the spring prior to the Mnemiopsis era depending on the region and temperature (Zaika and Andryushchenko, 1996). But, it reduced to 0.5-0.7 range after the introduction of Mnemiopsis and attained its lowest value during its second population outburst at 1995, then it increased to 1.0-1.1 during 1996-1998 when Mnemiopsis abundance became lower (Fig. 6.27).����������

 

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Fig. 6.25. Interannual variations of species composition and abundance of edible zooplankton in the inshore waters in August after the introduction of M.leidyi: (A) coldwater and eurythermal species, and (B) thermophilic species.

More noticeable increase in edible zooplankton abundance and biomass was observed after 1998 following the population outburst of Beroe ovata. During the first B. ovata outburst in August�����September 1999 (Fig. 6.28), the quantitative parameters of the edible zooplankton increased notably as compared to the last 10-year period of the M.leidyi invasion (Fig. 6.29, 6.30). The abundances of Cladocera species and Penilia avirostris were especially high. Pontella mediterranea appeared for the first time after its long-term absence. Among eurithermal species, Acartia clausi significantly increased its abundance, Paracalanus parvus and Centropages ponticus appeared, and Oikopleura dioica became abundant. A great number of nauplii and early copepodite stages (I�����IV) of A. clausi and C. ponticus were encountered, which suggested their high reproduction ability during this period. Among the cold water species, even in the near-shore zone, Pseudocalanus elongates became abundant, and the abundance of Parasagitta setosa reach 6�����15 ind. m�����2.

SOE 2009 image
SOE 2009 image

Fig. 6.26. Interannual variations in the species composition and abundance of edible zooplankton in the open sea waters in August after the introduction of M.leidyi: (A) coldwater and eurythermal species and (B) thermophilic species.

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Fig. 6.27. Interannual variations in zooplankton biodiversity index of edible zooplankton (as an average of the inshore and offshore data) in the spring and August after the introduction of M. leidyi. ��

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Fig. 6.28. Interannual variations of Mnemiopsis and Beroe abundances (ind.m-2) in August and September, respectively.

The edible zooplankton biomass and abundance underwent to large oscillations in the subsequent years (Fig. 6.31). In the warmest years (2000�����2002), before the seasonal development of B. ovata in August, M.leidyi reached high abundances comparable to pre-B.ovata period (Fig. 6.28) and reduced trophic zooplankton biomass. Nevertheless, it was higher than in the years before the B. ovata appearance. In the cold year of 2003, against the background low M.leidyi abundance in the near-shore zone (Fig. 6.28), a significant increase was observed in abundances of Acartia clausi, Oikopleura dioica, Calanus euxinus, Pseudocalanus elongates, and Parasagitta setosa (Figs. 6.29, 6.30). In the open sea, zooplankton abundance increased even more significantly; this refers both to thermophilic subsurface species and eurythermal and cold water ones. Their interannual variations were not so great (Fig.6.30), though an increasing trend in zooplankton species diversity was evident after the appearance of B. ovata. Despite this increase, their abundance was well below prior to the M. leidyi invasion (Zaika and Andryushchenko, 1969).

By the beginning of spring 2000, a noticeable increase in the abundance and biomass of edible zooplankton was observed as compared to the previous years due to the absence of M.leidyi (Fig. 6.32). The abundance of P. parvus, P. elongatus, and C. euxinus, which were represented in the spring mainly by nauplii and copepodites, increased. Also, the biomass of S. setosa became significantly higher. As a matter of fact, C. euxinus and P. setosa made a significant contribution to the biomass growth of forage zooplankton as early as April 2000, and this contribution reached 25.37 g m�����2 in the open waters where the abundance and biomass of total zooplankton were higher than in the near-shore zone (Fig. 6.32).

SOE 2009 image
�� SOE 2009 image

Fig. 6.29. Interannual variations in the species composition and abundance of edible zooplankton in the inshore waters in August: (A) coldwater and eurythermal species and (B) thermophilic species.

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SOE 2009 image

Fig. 6.30. Interannual variations in the species composition and abundance of zooplankton in the open sea waters in August: (A) coldwater and eurithermal species and (B) thermophilic species.

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Fig. 6.31. Long-term changes of edible zooplankton biomass in the northeastern Black Sea during August-September, 1978-2004. The data for 1978-1991 were taken by Vinogradov et al. (1992) and for 1993-2004 by Shiganova et al. (2004).

Fig. 6.33 shows the change in edible zooplankton biomass within the deep basin following its lowest values during the early 1990s. In response to the weakening of Mnemiopsis grazing pressure after the introduction of Beroe, it increased from less than 3 g m-2 in the early 1990s to 12 g m-2 in 1999 and then exceeded 20 g m-2 by 2001. The edible zooplankton biomass was strongly dominated by Calanus euxinus in 1993, but its 80-90% abundance comprised Parasagitta setosa, Calanus euxinus and Acartia clausi in 1999-2008 (Fig. 6.34). Calanus euxinus increased steadily whereas Parasagitta setosa and Acartia clausi oscillated within the ranges 4-12 g m-2 and 1-4 g m-2, respectively. Noctiluca scintillans decreased to low quantities (< 1 g m-2) except 2000 and 2005 (Fig. 6.34) when its annual-mean biomass was elevated to about 5 g m-2 implying appreciably strong bloom episodes during either late-spring or autumn.

Fig. 6.35 depicts the influence of local circulation system on the zooplankton biomass distribution. When the Rim Current jet is confined over the narrow continental slope (November 2000 case in Fig. 6.35), relatively high edible zooplankton biomass is confined into the inshore part of the Rim Current zone and decreases offshore. In the presence of an anticyclonic coastal eddy and thus shift of the Rim Current jet axis further offshore, the region of higher zooplankton biomass expands offshore (July 2005 case in Fig. 6.35). Weakening of the Rim Current and its more pronounced offshore meandering homogenize the zooplankton biomass along the offshore transect and result in a patchy distribution (October 2001 case in Fig. 6.35). Alternatively, formation of a recurrent mesoscale eddy in the open sea causes a significant increase in zooplankton biomass within the eddy, as in the case of September 1999 in Fig. 6.35.

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Fig. 6.32. Interannual variations in the species composition and abundance of edible zooplankton in the spring: (A) in the inshore zone and (B) in the open sea waters.

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Fig. 6.33. long-term changes of edible zooplankton biomass within the deep interior basin of the Black Sea. The data shown by dots and triangles are provided by Kovalev et al. (1998) and Arashkevich et al. (2008a) for the northeastern basin.��

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Fig. 6.34. Inter-annual biomass (g m-2) variations of dominant zooplankton groups during 1998-2008 (after Arashkevich et al., 2008a).

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Fig. 6.35. The relation between mesoscale variability of the circulation system (left) and zooplankton biomass distribution (right) along an offshore-onshore transect in the NE basin. Zooplankton biomass was expressed by its normalized difference with respect to the mean biomass of each set of measurements (after Arashkevich et al., 2008a).

Most recent monthly measurements conducted along the northeastern coast of the Black Sea (Fig. 6.36) confirmed the negligible role of Mnemiopsis with respect to Aurelia during 2005-2007.�� Aurelia biomass typically constituted 80% of the total gelatinous biomass during all the measurement period except the autumn 2005 and the summer-autumn 2007 in which Pleurobrachia and Mnemiopsis dominated the gelatinous group, respectively. Aurelia attained its highest biomass of 400-600 g m-2 during its spring outburst period and persisted during rest of the year at the level of ~200 g m-2. On the other hand, Mnemiopsis reached at the biomass of ~800 g m-2 during the autumn 2008 that prevailed through the winter 2008, but it was still at least twice lower than its biomass measured during the 1990s.

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Fig. 6.36. Monthly changes of gelatinous predators Aurelia, Mnemiopsis, and Pleurobrachia as the mean of measurements at three stations within the northeastern coastal waters during 2005-2007 (after Araskevich et al., 2008b).

6.8. Conclusions

The zooplankton fauna experienced strong interannual variability in abundance, biomass and composition over the entire basin starting by the early 1970s. During the 1980s of intense eutrophication phase prior to the Mnemiopsis population outbreak, its species composition changed in favour of non-trophic zooplankton species, first Noctiluca scintillans then jellyfish Aurelia aurita. During 1990-2005, two particular phases were evident; strong M.leidyi domination prior to B. ovata settlement (1990-1997) and weak M.leidyi domination after B. ovata (1998-2005). During the former phase, biomass and abundance of edible zooplankton community decreased and species community was simplified considerably.

With the appearance of ctenophore Beroe ovata after 1997, edible zooplankton community began to recover both in species composition and abundance. The Mnemiopsis leidyi impact on trophic zooplankton structure was reduced to two months of the year instead of 6-8months before B.ovata arrival.�� But indigenous gelatinous species Noctiluca scintillans and Aurelia aurita also increased their population in some parts of the Black Sea due to low Mnemiopsis leidyi and Beroe ovata (the predator) abundances in cold years. Mnemiopsis leidyi was able to attain relatively high abundance and affected more adversely zooplankton community in warm years. Nevertheless, Copepod and Cladoceran biomass and abundance increased in some areas, P. mediterranea, C. ponticus and A. patersoni which were almost absent during 1980s-1990s were recorded during the 2000s at higher abundances. Other three holoplanktonic species (Copepod Centropages ponticus, Cladocer Penilia avirostris and Chetognata Parasagitta setosa) suffered from the eutrophication impact begun to recover their populations; their abundance exceeded opportunistic Copepod species Acartia clausi and Cladoceran species Pleopis polyphemoides. Non-indigenous A. tonsa was also observed in limited numbers after 2000. The almost extinct species P. mediterranea, being an indicator of high quality waters, re-appeared after 2000 as a sign of positive ecosystem changes. The ctenophore Pleurobrachia pileus also started occupying its ecological niche, which was totally replaced by Mnemiopsis after 1989.

From the diversity viewpoint, there are inevitable signs of improvement and rehabilitation of the coastal zooplankton biocoenose and an overall trend of recovery with respect to the 1980s. But the quantitative trophic zooplankton structure is still unstable and undergoes large interannual fluctuations at almost all regions of the Black Sea.�� The entire zooplankton community was particularly sensitive to the year-to-year climatic changes during the present decade. Aurelia aurita, Pleurobrachia pileus controlled trophic zooplankton population in cold years whereas Mnemiopsis leidyi served as the main predator in warm years. The trophic zooplankton biomass has a clear declining trend along the entire western coast whereas inclining trend along the northeastern coast. It has lowest values at the coastal site near the Cape Sinop, a relatively unpolluted and poorly productive region representing background conditions, along the central part of southern coast.

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Shiganova, T.A., E. I. Musaeva, Y. V. Bulgakova et. al., 2003. Ctenophores invaders�� Mnemiopsis leidyi (A.Agassiz) and Beroe ovata Mayer 1912, and their effect on the pelagic ecosystem of the northeastern Black Sea.. Biological Bulletin 2: 225-235.

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CHAPTER 7 THE STATE OF MACROPHYTOBENTHOS (G. Minicheva et al.)

G. Minicheva

Odessa Branch, Institute of Biology of the Southern Seas, NASU, Odessa, Ukraine

O. V. Maximova, N. A. Moruchkova, U. V. Simakova

P.P.Shirshov Institute of Oceanology RAS, Moscow, Russian Federation

A. Sburlea

National Institute for marine research and development ���œGrigore Antipa����, Constanta, Romania,

K. Dencheva

Institute of Oceanology, Bulgarian Academy of Sciences, Varna, Bulgaria,

Y. Aktan

��Istanbul University, Faculty of Fisheries, Istanbul, Turkey

M. Sezgin

Sinop University, Faculty of Fisheries, Sinop, Turkey

7.1. Introduction

The Black Sea bottom algoflora is the impoverished derivative of the Mediterranean one. The species list today comprised 80 Chlorophyta, 76 Phaeophyceae and 169 Rhodophyta (Milchakova, 2002; 2003a,b, 2007). Many of them, however, have either disappeared completely or impoverished, whereas some others flourished during the last decades due to the severe impact of eutrophication on the bottom phytocoenosis. The most well-known sign of the transformations in macrophytobenthos community was the loss of Phyllophora in the region of Zernov�����s Phyllophora Field of the northwestern Black Sea. The drastic decrease of macrophytes diversity and almost total disappearance of perennial algae were among the most important changes that had occurred as a result of natural and man-made factors. Given the importance of macroalgae as food and refuge for animals, as well as source of external metabolites and oxygen, their decline affected the entire benthos life. The present chapter reviews the recent changes took place in the macrophytobethos community and assesses its recent status in different coastal environments of the Black Sea

7.2. Ukrainian shelf area

More than 70% of species diversity of macroalgae as well as six species of higher flowering plants (Zostera marina L., Z. noltii Hornem., Zannichellia major Boenn. Ex Reichenb, Ruppia cirrhosa Grande, R. maritime L., Potamogeton pectinatus L., and highly developed algae from the phylum Charophyta) have been present in the northwestern sector of the Black Sea, including the Crimean coastline. The region extending from the Danube Delta (Zmeiny Island) to Tarkhankut Cape 45��N latitude and the Crimean coastal zone are two particular areas with different floristic composition and structural-functional organization of macrophytobenthos communities. The former is affected by the runoff from large rivers (Danube, Dniester, Bug, and Dnepr) and includes numerous limans and shallow water bays. The second region is characterized by a large amount of hard substrate and embayments suitable for settling of macrophytes. Higher salinity and lower level of eutrophication also support richer species diversity. While ~50% of species composition was made up of representatives of red algae in both areas, lower salinity and higher eutrophication in the northwestern part prevailed the development of green algae and to a lesser extent the brown algae (Table 7. 1 and Fig. 7.1).

Table 7.1. Number of macroalgae species (underlined) and its percentage (bold) in the total floristic composition of the northwestern coastal waters of the Black Sea (Milchakova, 2007; Eremenko, Minicheva, Kosenko, 2006).

 Area Taxonomic phyla  Total
Chlorophyta(Green algae) Phaeophyta (Brown algae) Rhodophyta(Red algae)
Northwestern coast 54 29 45 24 87�� 47 186*�� 57**
Crimean coast 56 24 62 27 115 49 233 71

* - number of species

** - percentage of Black Sea floristic composition

SOE 2009 imageSOE 2009 imageSOE 2009 image

Fig. 7.1. Photos for the brown algae Cystoseira barbata (left), Desmarestia viridis (center) and the red algae Polysiphonia elongata (right).

The long-term changes in the species composition of algae of the Zernov�����s Phyllophora Field are summarized in Table 7.2. During the 1970s of intense eutrophication, the greatest change in the phytobenthos structure of the northwestern shelf was the disappearance of the brown algae Cystoseira barbata (Fig. 7.1) from the coastal phytocenose of the Danube ����� Dnepr interfluves. However, other brown algae of arctic-boreal flora, Desmarestia viridis (Fig. 7.1) was introduced into this area in the 1990s that then spread rapidly and became the dominant species in the cold periods of the year along the Odessa coast within the next 5-6 years. Massive covering of D. viridis thallus with dimensions of 30-50 cm have been often observed along the beaches in March ����� April. Its specific surface of the population index [(S/W)p], that indicates the amount of active thalloma surface per 1 kilogram mass of the macrophyte population,�� reached 70 m2 kg -1. Besides, the early 1990s of the northwestern Black Sea experienced intense developments of red algae Polysiphonia sanguinea and Pylaiella littoralis with high (S/W)p index values of 78.3 �� 1.9 m2 kg -1 and 140.2 �� 5.1 m2 kg -1, respectively.

Table 7.2. Long term changes in the species composition of algae of the Zernov Phyllophora Field.

Species 1964* 1986* 1989* 2004 2006 2008
Chlorophyta
Bryopsis plumosa (Huds.) C.Ag. + + - - + -
Chaetomorpha mediterranea (Kutz.) Kutz. - - + - - -
Cladophora albida (Nees) K��tz. + + - + - +
C. liniformis K��tz. - + - - + -
Ulva rigida Ag. - - - - - +
Enteromorpha compressa (L.) Nees + - - - - -
Rhizoclonium tortuosum (Dillw.) K��tz. - - - + - -
Stigeoclonium tenue Kutz. - - - - - +
Ulothrix implexa Kutz. - - - - - +
Ochrophyta
Cladostephus spongiosus f .verticillatus + + + - - -
Cystoseira barbata (Gooden et�� Woodw.)C. Ag. + + - - - -
Feldmannia irregularis (K��tz.) Hamel. + + - - + -
Ectocarpus fasciculatus Harv. + - - - - +
E. siliculosus (Dillw.) Lyngb. + - - - - +
Giraudya sphacelarioides Derb.et Sol. + - - - - -
Ralfsia verrucosa (Aresch.) J. Ag. + - - - - -
Stictyosiphon adriaticus K��tz. + - - - - -
Stilophora rhizodes (Ehrh.) J. Ag. + - - - - -
Sphacelaria cirrosa (Roth.) Ag. + - - - + +
S. saxatilis (Kuck.) Sauv. + + - - - -
Striaria attenuata (C. Agardh) Grev. + + - - - -
Spermatochnus paradoxus (Roth.) K��tz. + - - - - -
Desmarestia viridis (O. Mull. in Hornem.) - - - - + -
Rhodophyta
Acrochaetium savianum (Menegh.) - - - - - +
Rhodochorton purpureum (Lightf.) Rosevn. + - - - - +
Antithanmion cruciatum (Ag.) N��g. + + - - - -
Callithamnion corymbosum (Sm.) Lyngb. - - - - + -
Ceramium diaphanum (Lightf.) Roth + + + + - +
C. deslonchampii Chauv.ex Duby + - - - - -
Dasyopsis apiculata (Ag.) A. Zin. + - - - - -
Lithothamnion sp. + - - + - +
Lomentaria clavellosa (Turn.) Gail. + - - - - +
Lophosiphonia obscura (Ag.) Falkenb. + + + - - -
Pneophyllum fragile K��tz. + - - + + +
Peyssonnelia rubra (Grev.) J. Ag. + - - + - +
Phyllophora truncata (Pall.) Zinova + + + + + +
Ph. crispa (Huds.)P.S.Dixon + + + + + +
Ph. pseudoceranoides (S.G.Gmel.) Newr., Tayl. + + + - + +
Polysiphonia denudata (Dillw.) K��tz. + + - - - +
P. elongata (Huds.) Harv. + + + + + -
P. sanguinea (Ag.) Zanard. - - - + + +
Total number of species 31 16 8 10 12 19

* Kalugina-Gutnik and Evstegneeva (1993) and Milchakova (2003a), Tsarenko, Wasser and Nevo (2006).

Table 7.3. Variability of morphological structure of thallus for some common macroalgae of the Ukrainian coast.

 Structural element Specific surface�� (S/W)p, m2·kg-1
Cystoseira barbata Polysiphoniaelongata Desmarestia��viridis
Main axis (stem) �� 2.78 �� 0.17 ������ 3.70 �� 0.02 �� 13.62 �� 0.36
Lateral branches, 1-st order �� 5.84 �� 0.71 ������ 4.60 �� 0.11 �� 23.90 �� 0.49
Lateral branches, 2-nd order 11.87 �� 0.45 ������ 6.10 �� 0.10 �� 37.98 �� 0.80
Lateral branches, 3-rd order 14.82 �� 0.52 �� 18.80 �� 0.49 �� 68.68 �� 2.35
Apical�� branches�� 18.42 �� 0.82 �� 88.50 �� 2.18 102.75 �� 2.78
Total for thallus 11.62 �� 0.42 �� 26.88 �� 3.21 �� 76.72 �� 3.56
S/W variability for thallus (%) 135 315 103

 

In the 1990s, expansion of P. elongata of the Polysiphonia genus was also recorded in the northwestern part of the Black Sea. P. elongata was constantly observed in communities of the Crimean coastal zone in eutrophic and oligotrophic reserve areas (Karadag, Tarkhankut, and Utrish) as well as along the northwestern coast (Milchakova and Kireeva, 2000). Both thick main branches and very thin posterior branches with two-fold greater (S/W)p indices of P. elongata with respect to Cystoseira and Phyllophora (Table 7.3) provided a high intensity metabolic processes and adaptation to diverse conditions in eutrophic and oligotrophic waters at depths up to 50 m, and thus successfully taking over the vacant ecological nich in the mid-1990s.

Severe eutrophication in the northwestern Black Sea has therefore led to a distinct dynamics of structural-functional organization of macrophyte communities. The species with (S/W)p < 15 m�� kg-1 ceased to develop due to the increasing level of eutrophication during the early 1970s and 1980s (Minicheva, 1998), (Fıg. 7.1A). In this period Cystoseira was replaced by algal communities of the genus Ceramium, Cladophora, Enteromorpha and the total phytobenthos biomass declined from 3.0 kg∙m-2 to 1.0-1.5 kg∙m-2.

SOE 2009 image

Fig. 7.1A.�� Dynamics of changes in surface index (SIcm) and average value of specific surface (S/W) of species composition of phytobenthos of the Danube-Dnepr interfluves.

 

 

The end of the 1980s and the early 1990s may be considered as the period of stabilization. This was followed by a significant reduction in the productivity of opportunistic algae species after the mid-1990s that suggested weakening of the eutrophication process. In the autumn 2004, July 2006 and March 2008 surveys, some of the extinct species of Zernov�����s Phyllophora field have been emerged again. The finely branched, ecologically active P. sanguinea began to develop in communities of Phyllophora crispa = Phyllophora nervosa with (S/W)p = 10.4 m2 kg -1 and Phyllophora truncata = Phyllophora brodiaei with (S/W)p = 11.5 m2 kg -1, forming up to 20-30%�� of the vegetative biomass in the summer period. The expansion of P. elongata at the beginning of the present decade may be considered an intermediate stage in the restoration process, the length of which depends on the rate of decrease of the eutrophication and the climatic conditions. If the present day tendency persists, it is quite possible to expect restoration of the Cystoseira community in the Danube-Dnepr interfluves and more favorable conditions for development of Phyllophora on the northwestern shelf. Table 7.4 summarizes four stages in the transformation of the macrophytobenthos of northwestern Black Sea.

The decreasing trends in average macrophyte biomass and production (Fig. 7.2) also support restoration of the system along the northwestern coast. The sharp peaks in 2002-2003 suggest the impact of anomalous climatic conditions. The winter of 2002-2003 was the coldest one in the last 50 years (Adobovskiy and Bolshakov, 2004) which altered the seasonal dynamics of macrophytes. The Odessa coastal zone was characterized by an intense development of winter species D. viridis, Punctaria latifolia Grev., and Ectocarpus confervoides (Roth.) Le Jolis until the mid-June 2003 but dominated by Enteromorpha intestinalis (L) Link and Cladophora laetevirens (Dillw.) Kutz in June- July 2003. The data therefore suggest that such anomalous future climatic conditions may introduce important biological changes in addition to the effects of eutrophication processes.

The stages shown in Table 7.4 for the changes of the coastal phytobenthos structure coincided with the changes in Cystoseira and Phyllophora phytocoenoses in the less eutrophic offshore waters of the northwestern shelf as well. They comprised the background state from the late 1950s to the early 1970s; degradation state from the mid-1970s to the late 1980s; negative changes from the late 1980s to the early 1990s; partial restoration state towards the 1950s after the mid-1990s (Milchakova, 1999). At present, restoration of Cystoseira phytocoenoses has been limited to the shallow water (1-3 m) coastal zone in open areas (Cape Aya, Cape Sarych, Karadag) and in embayments and bays (Sevastopol Bay, Karkinitsky Bay) as evident by their increasing species diversity and shares of edificatory species (large, perennial species). Cystoseira and Phyllophora occupied 7.42 and 1.62 km�� area with stocks of 9200 and 993 tones, respectively, in the Sevastopol Bay (Milchakova, 2003b). The stocks of Gracillaria verrucosa (Huds.) Papenf., G. dura (Ag.) J. Ag. in Kasachya and Novorossiskay embayments of the Crimean coast also made up 55 and 42 tonnes, respectively (Mironova, 2005).

An improvement of ecological conditions can also be seen in seaweed distributions in deep waters. For instance, congestions of green filamentous algae Cladophora sericea (Huds.) Kutz. were found in the southwest Crimea shelf at the depth range of 40-100 meters in spring 2004 (Boltachev and Milchakova, 2004). The green lamellar algae Ulva rigida Ag. was recorded at 35-60 meter depth range in autumn 2005. Even the coastal ecosystem of the Danube-Dnepr interfluve which has been greatly subject to eutrophication started producing some macrophyte development at depths from 5-7 to 12-14 m in 2005-2007.

Table 7.4. The periods of alteration of community structural-functional organization for the macrophytobenthos of northwestern part of the Black Sea.

Stage Period Main characteristics
Pre-eutrophication state Before the1960s Dominant of communities ����� a large perennial brown alga Cystoseira barbata with a low specific area (S/W ����� 12 m���·kg-1). Multilayer complex communities with average biomass of 3-5 kg�·m-��.
IntensifiedEutrophication From the early 1970s to the 1980s Species with S/W lower than 15 m���·kg-1 ceased developing C. barbata succeeded the algal community of the genus Ceramium, Cladophora, Enteromorpha. The phytobenthos biomass fell to 1.0-1.5 kg�·m-��. The S/W index of the floristic algae composition increased more than two-folds.
Immobility Mid-1990s Mass development of species of aliens and previously rare species (Desmarestia viridis, Polysiphonia sunguinea) with S/W ~ 70 m���·kg-1.
DecreasingEutrophication The present decade The red algae Polysiphonia elongata (S/W ����� 26.88 m���·kg-1) has intensively widened its range, as a step towards restoration of the macrophytobenthos structure.
SOE 2009 image

Fig. 7.2. Annually dynamic of biomass and production of macrophytes community of Danube-Dnepr interfluves.

7.3. Romanian shelf area

Long term changes (1950-2005): Macrophytes in the Romanian coast until the 1970s comprised 154 species (47 Chlorophyta species, 2 Xanthophyta, 30 Phaeophyta, and 79 Rhodophyta) that have been identified as early as 1935 by Celan (1935). They decreased gradually to 86 species in 1970s (Bavaru, 1981), 55 in the 1980s and 31 in the 1990s as depicted in Table 7. 5.

Table 7.5. Number of macroalgal species at the Romanian coast, between 1977 and 2005 by different authors

Phyllum 1977(1) 1976-1995(2) 1996-2005(3)
Chlorophyta (green algae) 31 22 16
Phaeophyta (brown algae) 14 9 5
Rhodophyta (red algae) 41 24 10
Total 86 55 31

Data sources: (1) Bavaru (1981), (2) Vasiliu (1984), (3) Bologa and Sava (2006).��

The cold winter of 1971-1972 represented a special situation in which drifting ice mechanically destroyed benthic vegetation up to 2-3 m of depth. 80% of the loss of the perennial brown algae Cystoseira barbata stocks was the result of this particular phenomenon. Silt and nutrients from coastal human activities aggravated the unsuccessful macrophytes stocks rehabilitation. Cystoseira continued to be present only in the form of small aggregations mostly in the southern part of the Romanian shore because of the weaker influence of the Danube River in this region. Epiphytic flora and associated fauna also decreased, and as a result perennial algae damaged considerably. The almost complete disappearance of extended belts of Cystoseira had important ecological implications in terms of forming as a substratum and shelter for various other epiphytic macrophytes and animals, especially fish. The disappearance of numerous brown and red algae was mainly related to the depletion of those Cystoseira fields. Phyllophora is a perennial algae, dominant in the famous ���œZernov�����s field���� (Skolka, 1956), nowadays being present only as scattered islands in the northern Constanta area.

Considerable diminution of phanerogames Zostera marina and Z. nolti (eelgrass) was also observed in former decades. In the last 30 years the standing stock of eelgrass has decreased tenfold in shallow water. Eelgrass served as a favourable biotope for many species of invertebrates and fish. The main reason for the degradation of Zostera communities was the mobilizing of silt when dredging in the coastal zone. These impoverishments in macrophyte community were noticed in many rocky bottom areas (Celan, 1977; Celan & Bavaru, 1973, 1978; Skolka et al., 1980; Bavaru, 1970, 1981; Bavaru and Vasiliu, 1985; Bologa, 1989; Sava et al., 2003) and led to the present decrease of biodiversity in the north-western Black Sea (Bologa, 2002; Bologa et al., 1995).

Hard substratum, earlier populated by slow developing brown alga Cystoseira, was then covered by short life cycle species with fast growth. Most frequent species are Enteromorpha, Cladophora and Ceramium, followed by Ulva, Bryopsis and Callithamnion but their biomass is not comparable with high biomass of Cystoseira in the last decades (Sava, 1999). Most obvious feature of macrophytes community in 1990s was low number of species at the Romanian shore, but they could produce high biomasses, some genera (Enteromorpha, Cladophora, Ceramium) covered 80% of the bottom (Bologa, 1989). An average of 6 kg/m2 wet biomass has been measured in 2004, proportion of green algae being higher in the north, red algae predominating towards the south of the Romanian coast (Sburlea and Mircea, 2006).

Due to large amount of suspended particles and plankton, the transparency of sea water was significantly decreased in 2005 compared to 1980s. The position of the compensation depth changed as a result, and bottom seaweeds growing deeper than 7 to 8 m became shaded (Bologa and Sava, 2006). The latter accounted for the large decline of macrophytes, in spite of the high nutrients levels. The changes of the ecosystem and community structure led to the replacement of some phytocoenoses by others. The consequence was a shift in the seasonal and multiannual dynamics of the algal communities.

As a result of biological pollution, the exotic and toxic species Desmarestia (Phaeophyta) has been observed along the Romanian shore in 2004 and 2005. First recorded in 1992, this particular species has already populated hard substrates of the Odessa harbour and is considered toxic for the neighbouring algae. At present, the rehabilitation of macrophytes community is delayed by secondary eutrophication and human activities such as harbour constructions, industry, and tourism.

With respect to the categories proposed by the World Conservation Union (IUCN) and considering national concerns regarding endangered species, a comprehensive red list of extinct and endangered, rare and insufficiently known benthic macrophytes from the Romanian Black Sea sector has been compiled (Bologa and Bavaru, 1998/99). The list comprised 24 extinct and endangered species (6 Chlorophyta, 6 Phaeophyta, and 12 Rhodophyta), 42 rare species (13 Chlorophyta, 2 Xanthophyta, 9 Phaeophyta, 18 Rhodophyta) and 4 insufficiently known species (1 Phaeophyta, 3 Rhodophyta).

Peculiarity of macrophytobenthos during 1990-2005: Along the Romanian Black Sea shore, the compact, discontinuous and variable rocky bottom characterizes the supra-, medio-, and infralittoral between Cape Midia (440 20����� N) and Vama Veche (430 45����� N). This substratum constitutes the most varied environment of the benthic domain. During the decades, this benthic zone has shrunk to a narrow inshore strip at the depth of 5-7 m that comprised the only region with sufficient light penetrating within the water column for photosyntesis (Sava, 1999).

The inventory of benthic macrophytes along the Romanian shore in the last decade presents 33 species (Bologa and Sava, 2006): 16 Chlorophyta, 10 Rhodophyta, 5 Phaeophyta and 2 Phanerogama. Usually, Enteromorpha species are mixed with species of Cladophora. Occasionally Bryopsis plumosa (in the warm season) and Entocladia viridis (endophyte in the cellular membranes of Ceramium species) have been observed. After the green algae belt, starting with low depths up to 8 to 9 m were covered by the species of Ceramium. They occupy almost all substrata, contributing with Enteromorpha, to the physiognomy of the present vegetation. Polysiphonia, Callithamnion and Porphyra constituted other common species at lower quantities during various seasons of the year.

There is, however, a clear quantitative and qualitative difference between the macrophyte community of the northern and southern littoral zones of the Romanian coastline (Fig. 7.3). Reduced hard substratum suitable for macrophytes development and more intense pollution caused much lower macrophyte community along the northern