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Recovery or decline of the northwestern Black Sea: A societal choice revealed by socio-ecological modelling

Author

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  • Langmead, Olivia
  • McQuatters-Gollop, Abigail
  • Mee, Laurence D.
  • Friedrich, Jana
  • Gilbert, Alison J.
  • Gomoiu, Marian-Traian
  • Jackson, Emma L.
  • Knudsen, Ståle
  • Minicheva, Galina
  • Todorova, Valentina

Abstract

During recent decades anthropogenic activities have dramatically impacted the Black Sea ecosystem. High levels of riverine nutrient input during the 1970s and 1980s caused eutrophic conditions including intense algal blooms resulting in hypoxia and the subsequent collapse of benthic habitats on the northwestern shelf. Intense fishing pressure also depleted stocks of many apex predators, contributing to an increase in planktivorous fish that are now the focus of fishing efforts. Additionally, the Black Sea's ecosystem changed even further with the introduction of exotic species. Economic collapse of the surrounding socialist republics in the early 1990s resulted in decreased nutrient loading which has allowed the Black Sea ecosystem to start to recover, but under rapidly changing economic and political conditions, future recovery is uncertain.

Suggested Citation

  • Langmead, Olivia & McQuatters-Gollop, Abigail & Mee, Laurence D. & Friedrich, Jana & Gilbert, Alison J. & Gomoiu, Marian-Traian & Jackson, Emma L. & Knudsen, Ståle & Minicheva, Galina & Todorova, Vale, 2009. "Recovery or decline of the northwestern Black Sea: A societal choice revealed by socio-ecological modelling," Ecological Modelling, Elsevier, vol. 220(21), pages 2927-2939.
    • Handle: RePEc:eee:ecomod:v:220:y:2009:i:21:p:2927-2939
    DOI: 10.1016/j.ecolmodel.2008.09.011
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    Cited by:

    1. Smajgl, Alex & House, Alan P.N. & Butler, James R.A., 2011. "Implications of ecological data constraints for integrated policy and livelihoods modelling: An example from East Kalimantan, Indonesia," Ecological Modelling, Elsevier, vol. 222(3), pages 888-896.
    2. Ropero, R.F. & Aguilera, P.A. & Rumí, R., 2015. "Analysis of the socioecological structure and dynamics of the territory using a hybrid Bayesian network classifier," Ecological Modelling, Elsevier, vol. 311(C), pages 73-87.
    3. Jumeniyaz Seydehmet & Guang Hui Lv & Ilyas Nurmemet & Tayierjiang Aishan & Abdulla Abliz & Mamat Sawut & Abdugheni Abliz & Mamattursun Eziz, 2018. "Model Prediction of Secondary Soil Salinization in the Keriya Oasis, Northwest China," Sustainability, MDPI, vol. 10(3), pages 1-22, February.
    4. Chaofeng Shao & Xiaogang Tian & Yang Guan & Meiting Ju & Qiang Xie, 2013. "Development and Application of a New Grey Dynamic Hierarchy Analysis System (GDHAS) for Evaluating Urban Ecological Security," IJERPH, MDPI, vol. 10(5), pages 1-25, May.
    5. Dash, Siddhant & Kalamdhad, Ajay S., 2022. "Systematic bibliographic research on eutrophication-based ecological modelling of aquatic ecosystems through the lens of science mapping," Ecological Modelling, Elsevier, vol. 472(C).
    6. Sundblad, Eva-Lotta & Grimvall, Anders & Gipperth, Lena & Morf, Andrea, 2014. "Structuring social data for the Marine Strategy Framework Directive," Marine Policy, Elsevier, vol. 45(C), pages 1-8.
    7. Alexandre Troian & Mário Conill Gomes & Tales Tiecher & Julio Berbel & Carlos Gutiérrez-Martín, 2021. "The Drivers-Pressures-State-Impact-Response Model to Structure Cause−Effect Relationships between Agriculture and Aquatic Ecosystems," Sustainability, MDPI, vol. 13(16), pages 1-17, August.
    8. Mary A. Fox & L. Elizabeth Brewer & Lawrence Martin, 2017. "An Overview of Literature Topics Related to Current Concepts, Methods, Tools, and Applications for Cumulative Risk Assessment (2007–2016)," IJERPH, MDPI, vol. 14(4), pages 1-28, April.

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