STRUCTURAL AND FUNCTIONAL CHARACTERISTICS OF BIOTA IN MARINE ECOSYSTEMS AS A BASIS FOR ECOSYSTEM RISK ASSESSMENT

Authors

DOI:

https://doi.org/10.47143/1684-1557/2026.1.2

Keywords:

marine ecosystems, biota, structural and functional characteristics, ecosystem risk, resilience, morphofunctional indicators, P/R, NEP, AQUATOX, Black Sea

Abstract

The paper summarizes the theoretical and methodological foundations for using structural and functional characteristics of biota to assess ecosystem risks in marine ecosystems. It is shown that biotic indicators are particularly informative, as they integrate the ecosystem response to the combined effects of natural and anthropogenic factors through changes in community composition and organization, trophic interactions, matter and energy flows, as well as the balance of key functional processes. The feasibility of combining morphofunctional indicators, metabolic indicators of ecosystem functioning, indicators of natural resilience, anthropogenic pressure, and ecological state for the quantitative interpretation of ecosystem risk is substantiated. Using the Odesa Bay as a case study and applying the AQUATOX model, the relationship between impact factors and ecosystem state indicators was analyzed, along with the features of ecosystem risk dynamics in static and dynamic phase spaces. It is shown that under conditions of increasing anthropogenic pressure and acceleration of ecosystem processes, the system may shift from a regime of adaptive reorganization to a less stable state. These processes are accompanied by increased variability, disruption of the balance between production, consumption, and decomposition of organic matter, reduced self-regulation capacity, and a higher probability of transition to an alternative risk state. Such a transition is manifested in changes in the structural organization of biota and a weakening of compensatory mechanisms. The proposed approach makes it possible to combine hydrobiological diagnostics, stability assessment, and risk analysis using mathematical modelling methods. It can be applied to improve marine environmental monitoring, assess ecological status, and support management decisions aimed at reducing ecosystem risks.

References

1. Коморін В.М. Теоретико-методологічні аспекти управління екосистемними ризиками моря. Ukrainian Hydrometeorological Journal. 2023. Вип. 31. С. 33–54. DOI: 10.31481/uhmj.31.2023.03.

2. Duarte C.M. Reconsidering ocean metabolism: new perspectives on the role of heterotrophy in the marine carbon cycle. Progress in Oceanography. 1995. Vol. 34. P. 1–17.

3. Holling C.S. Resilience and stability of ecological systems. Annual Review of Ecology and Systematics. 1973. Vol. 4. P. 1–23.

4. Komorin V.M. Assessment of the Black Sea shelf ecosystem sustainability with mathematical simulation method. Geographia Technica. 2021. Vol. 16. Is. 2. P. 19–28. DOI: 10.21163/GT_2021.162.02.

5. Komorin V.M. Mathematical model for managing marine ecosystem risks. Ukrainian Hydrometeorological Journal. 2024. No. 33. P. 49–65. DOI: 10.31481/uhmj.33.2024.04.

6. Kvach Yu., Stepien C., Minicheva G., Tkachenko P. Biodiversity effects of the Russia-Ukraine War and the Kakhovka Dam destruction: ecological consequences and predictions for marine, estuarine, and freshwater communities in the northern Black Sea. Ecological Processes. 2025. Vol. 14. Is. 1. 22. https://doi.org/10.1186/s13717-025-00577-1

7. Lindeman R.L. The trophic-dynamic aspect of ecology. Ecology. 1942. Vol. 23. No. 4. P. 399–417.

8. Minicheva G.G. Use of the macrophytes morphofunctional parameters to asses ecological status class in accordance with the EU WFD. Морской экологический журнал. 2013. Т. XII. №. 3. С. 5–21.

9. Odum E.P. Fundamentals of Ecology. 3rd ed. Philadelphia : W.B. Saunders, 1971. 574 p.

10. Scheffer M., Carpenter S., Foley J.A., Folke C., Walker B. Catastrophic shifts in ecosystems. Nature. 2001. Vol. 413. P. 591–596.

11. Tuchkovenko Yu.S., Kushnir D.V., Torgonskyi A.V., Komorin V.M. The impact of the destruction of the Kakhovka reservoir dam on the oceanographic conditions in the north-western part of the Black Sea according to the results of modelling. Ukrainian hydrometeorological journal. 2024. Vyp. 33. P. 66–80. DOI: https://doi.org/10.31481/uhmj.33.2024.05.

Published

2026-05-25