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The Long-Term Annual Datasets for Azov Sea Basin Ecosystems for 1925–2024 and Russian Sturgeon Occurrences in 2000–2024

Author

Listed:
  • Mikhail M. Piatinskii

    (Azov-Black Sea Branch of the FSBI VNIRO, 21v Beregovaya St., Rostov-on-Don 344002, Russia)

  • Dmitrii G. Bitiutskii

    (Russian Federal Research Institute of Fisheries and Oceanography, Okrujnoi Pass., 19, Moscow 105187, Russia)

  • Arsen V. Mirzoyan

    (Azov-Black Sea Branch of the FSBI VNIRO, 21v Beregovaya St., Rostov-on-Don 344002, Russia
    Russian Federal Research Institute of Fisheries and Oceanography, Okrujnoi Pass., 19, Moscow 105187, Russia)

  • Valerii A. Luzhniak

    (Azov-Black Sea Branch of the FSBI VNIRO, 21v Beregovaya St., Rostov-on-Don 344002, Russia)

  • Vladimir N. Belousov

    (Azov-Black Sea Branch of the FSBI VNIRO, 21v Beregovaya St., Rostov-on-Don 344002, Russia)

  • Dmitry F. Afanasyev

    (Russian Federal Research Institute of Fisheries and Oceanography, Okrujnoi Pass., 19, Moscow 105187, Russia)

  • Svetlana V. Zhukova

    (Azov-Black Sea Branch of the FSBI VNIRO, 21v Beregovaya St., Rostov-on-Don 344002, Russia)

  • Sergey N. Kulba

    (Azov-Black Sea Branch of the FSBI VNIRO, 21v Beregovaya St., Rostov-on-Don 344002, Russia)

  • Lyubov A. Zhivoglyadova

    (Azov-Black Sea Branch of the FSBI VNIRO, 21v Beregovaya St., Rostov-on-Don 344002, Russia)

  • Dmitrii V. Hrenkin

    (Azov-Black Sea Branch of the FSBI VNIRO, 21v Beregovaya St., Rostov-on-Don 344002, Russia)

  • Tatjana I. Podmareva

    (Azov-Black Sea Branch of the FSBI VNIRO, 21v Beregovaya St., Rostov-on-Don 344002, Russia)

  • Polina M. Cherniavksaia

    (Azov-Black Sea Branch of the FSBI VNIRO, 21v Beregovaya St., Rostov-on-Don 344002, Russia)

  • Dmitrii S. Burlachko

    (Azov-Black Sea Branch of the FSBI VNIRO, 21v Beregovaya St., Rostov-on-Don 344002, Russia)

  • Nadejda S. Elfimova

    (Azov-Black Sea Branch of the FSBI VNIRO, 21v Beregovaya St., Rostov-on-Don 344002, Russia)

  • Olga V. Kirichenko

    (Azov-Black Sea Branch of the FSBI VNIRO, 21v Beregovaya St., Rostov-on-Don 344002, Russia)

  • Inna D. Kozobrod

    (Azov-Black Sea Branch of the FSBI VNIRO, 21v Beregovaya St., Rostov-on-Don 344002, Russia)

Abstract

The abundance of the Russian sturgeon population in the Sea of Azov declined many times in the XX–XXI centuries. This paper presents long-term annual and spatial occurrence datasets to create statistical and machine learning models to better understand the distribution patterns as well as biological and ecological features. The annual dataset provides annually averaged results of environmental and biotic population estimates obtained by in situ observations for 1925–2024. The spatial occurrence dataset contains raw survey observations with a bottom trawl over the period of 2000–2024. Preliminary diagnostics of the annual dataset reveal no evidence of non-stationarity or significant outliers that cannot be explained by biological parameters. The published dataset allows any researcher to perform statistical and machine learning-based analysis in order to compare and describe the population abundance or spatial occurrence of Russian sturgeon in the Sea of Azov.

Suggested Citation

  • Mikhail M. Piatinskii & Dmitrii G. Bitiutskii & Arsen V. Mirzoyan & Valerii A. Luzhniak & Vladimir N. Belousov & Dmitry F. Afanasyev & Svetlana V. Zhukova & Sergey N. Kulba & Lyubov A. Zhivoglyadova &, 2025. "The Long-Term Annual Datasets for Azov Sea Basin Ecosystems for 1925–2024 and Russian Sturgeon Occurrences in 2000–2024," Data, MDPI, vol. 10(5), pages 1-10, April.
    • Handle: RePEc:gam:jdataj:v:10:y:2025:i:5:p:57-:d:1641216
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    References listed on IDEAS

    as
    1. Alexander Sukhinov & Yulia Belova & Alexander Chistyakov & Alexey Beskopylny & Besarion Meskhi, 2021. "Mathematical Modeling of the Phytoplankton Populations Geographic Dynamics for Possible Scenarios of Changes in the Azov Sea Hydrological Regime," Mathematics, MDPI, vol. 9(23), pages 1-16, November.
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