AZOV SEA VIMBA INDICATOR ASSESSMENT OF THE STATE OF FISH POPULATION IN TERMS OF LACK OF BIOLOGICAL DATA BY LBI MODEL

Inna Kozobrod; M. Pyatinsky; Elena Vlasenko

doi:10.37663/0131-6184-2021-3-68-75

VAK Russia 06.04.00 UDC 57 CSCSTI 69.09 Russian Classification of Professions by Education 01.04.04 Russian Library and Bibliographic Classification 472

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AZOV SEA VIMBA INDICATOR ASSESSMENT OF THE STATE OF FISH POPULATION IN TERMS OF LACK OF BIOLOGICAL DATA BY LBI MODEL

Published in Fisheries · Volume 2021, Issue 3 · Pages 68–75 · Rubric: Biological resources and fisheries

DOI: https://doi.org/10.37663/0131-6184-2021-3-68-75

Received: 03.06.2021 Accepted: 02.12.2025

Authors

Inna Kozobrod

M. Pyatinsky

Elena Vlasenko

Inna Kozobrod

Azov-black sea branch of VNIRO (Azniirh) acting head · Laboratories of passing and semi-passing fish · Russian Federation · Rostov-on-Don

M. Pyatinsky

Azov-black sea branch of the Federal state budgetary INSTITUTION "VNIRO "("Azniirh") leading specialist · The group of mathematical modeling and forecasting · Russian Federation · Rostov-on-Don

Azov-Black Sea branch of Russian Federal Research Institute of Fisheries and Oceanography (AzNIIRKH) leading researcher · Math modeling & forecast group · Russian Federation · Astrahan

Elena Vlasenko

Azov-Black Sea branch of Fisheries and Oceanography (AzNIIRKH) chief researcher · Anadromous and semi-anadromous fish laboratory · Russian Federation

ABSTRACT

Stock assessment of vimba population Vimba vimba (Linnaeus, 1758) in period 2015–2020 was performed by qualitative indicator method LBI (Length-Based Indicators) that allows to assess qualitative characteristics of the population and fisheries and MSY biological reference points. The indicator, qualitative approach to stock assessment was applied due to absence vimba population of stable stock-recruitment relationship (due to artificial reproduction exist), which makes impossible to apply surplus production approach to solve production equation dB/dt. LBI model was performed based on available length-weight vimba frequencies dynamics information, which allows to evaluate qualitative population characteristics and fisheries impact. Model results shows no overexploitation signals: in period 2015–2020 fisheries are carried out in maximum sustainable yield level. Indicator results according to reference points indicate no significant signals of reduction optimal length class (Lopt), small-size or large-size class. In 2016 and 2018 uncertain overexploitation of small-scale classes leads to no significant changes was underlined. In terms of biological and fisheries data lacking, LBI methods allow to perform stock assessment procedure more stable and robust then surplus or cohort approach, and output scientific advice to fisheries management.

KEYWORDS

population modeling, vimba, Azov sea, stock assessment, total allowed catch, stock forecast

1. Averkiev F.V. Sbornik statisticheskih svedeniy ob ulovah ryb i nerybnyh ob'ektov v Azovo-Chernomorskom basseyne za 1927-1959 gg // Tr. AzNIIRH. - 1960. - T. 1. - №2. -93 s.

2. Aksyutina Z.M. Elementy matematicheskoy ocenki rezul'tatov nablyudeniy v biologicheskih i rybohozyaystvennyh issledovaniyah. M.: Pischevaya promyshlennost', 1968. - 288 s.

3. Babayan V.K. Metodicheskie rekomendacii po ocenke zapasov prioritetnyh vidov vodnyh biologicheskih resursov. / V.K. Babayan, A.E. Bobyrev, T.I. Bulgakova i dr. M.: VNIRO, 2018. - 294 s.

4. Vasil'eva E.D. Ryby basseyna Azovskogo morya. / E.D. Vasil'eva, V.A. Luzhnyak - Federal'noe gosudarstvennoe byudzhetnoe uchrezhdenie nauki Yuzhnyy nauchnyy centr Rossiyskoy akademii nauk, 2013. - 224 s.

5. Gorbacheva L.T. i dr. Sostoyanie vosproizvodstva prohodnyh ryb (russkogo osetra Acipenser Gueldentaedtii, sevryugi Acipenser Stellatus, rybca Vimba Vimba, shemai Chalcalburnus Chalcoides Mento) v usloviyah Azovskogo basseyna //Trudy AzNIIRH (rezul'taty rybohozyaystvennyh issledovaniy v Azovo-Chernomorskom basseyne). - 2017. - S. 216-225.

6. Emyl' M.H. Ryby Krasnodarskogo kraya i respubliki Adygeya. Krasnodar: Kuban. gos. un-t, 1997. - 157 s.

7. Zherdev N.A. Mnogoletnyaya dinamika sostoyaniya zapasa tarani po rezul'tatam modelirovaniya CMSY s ogranichennymi dannymi (1999-2019) v Azovskom more (vody Rossii) / N.A. Zherdev, M.M. Pyatinskiy, I.D. Kozobrod // Rybnoe hozyaystvo. - 2020. - №. 6. - S. 88-94. DOIhttps://doi.org/10.37663/0131-6184-2020-6-88-94

8. Zhivoglyadov A.A. Sostoyanie donskoy populyacii rybca Vimba vimbav sovremennyy period / A.A. Zhivoglyadov, E.S. Vlasenko // Voprosy rybolovstva. - 2018. - T. 19. - №. 4. - s. 416-423.

9. Zhukova S.V. Gosudarstvennyy monitoring sredy obitaniya vodnyh biologicheskih resursov azovskogo morya / S.V. Zhukova, V.G. Dubinina // Vodnye resursy Rossii: sovremennoe sostoyanie i upravlenie. - 2018. - s. 275-284.

10. Zhukova S.V. Obespechennost' vodnymi resursami rybnogo hozyaystva nizhnego dona //Vodnye bioresursy i sreda obitaniya. - 2020. - Tom 3. - № 1. - s. 7-19.

11. Zalumi S.G. Vliyanie zaregulirovannogo stoka reki na urozhaynost' molodi nekotoryh promyslovyh ryb. // Voprosy ihtiologii. 1967. - t. 7. - s. 277-287.

12. Ivanchenko I.N. Dinamika zapasa i ulovov donskoy populyacii rybca Vimba vimba (L.) // Osnovnye problemy rybnogo hozyaystva i ohrany rybohozyaystvennyh vodoemov Azovo-Chernomorskogo basseyna. - 2012. - s. 115-121.

13. Karpenko G.I. i dr. Retrospektivnyy analiz issledovatel'skih rabot po vosproizvodstvu rybca i shemai (1930-2015 gg.). - 2017. - 284 s.

14. Kuropatkin A.P. i dr. Izmenenie solenosti Azovskogo morya // Voprosy rybolovstva. - 2013. - T. 14. - №. 4. - s. 666-673.

15. Troickiy S.K. Ryby basseynov nizhnego Dona i Kubani. Rukovodstvo po opredeleniyu vidov. / S.K. Troickiy, E.P. Cunikova - Rostov-na-Donu: Rostovskoe knizhn. izd-vo, 1988. - 112 s.

16. Cherednikov S.Yu. Limitiruyuschie faktory okruzhayuschey sredy i biologicheskie osobennosti vazhneyshih promyslovyh migrantov Azovskogo morya / S.Yu. Cherednikov, E.S. Vlasenko, N.A. Zherdev, I.D. Kuznecova // Rostov-na-Donu: Vodnye bioresursy i sreda obitaniya, 2020. - Tom 3. - №1. - s. 27-41.

17. Biologiya i promyslovoe znachenie rybcov (Vimba) Evropy. / Pod red. R.S. Vol'skisa. Vil'nyus: «Mintis», 1970. - 517 s.

18. Rybec (Kompleksnye issledovaniya v neskol'kih tochkah areala). / Pod red. P.A. Zayanchkauskasa. Vil'nyus: «Mokslas», 1976. - 240.

19. Cochrane K.L. (ed.). A fishery manager's guidebook: Management measures and their application. - Food & Agriculture Org., 2002. - №. 424. (pg. 1-20) FAO Fisheries Technical Paper, 424. 238 Pp.

20. ICES. Report of the fifth Workshop on the development of quantitative assessment methodologies based on life-history traits, exploitation characteristics and other relevant parameters for data-limited stocks (WKLIFE V). - 2015.

21. ICES. ICES reference points for stocks in categories 3 and 4. // ICES Technical Guidelines. 2018. -PP. 50. https://doi.org/10.17895/ices.pub.4128

22. Rochet M.J., Trenkel V.M. Which community indicators can measure the impact of fishing? A review and proposals //Canadian Journal of Fisheries and Aquatic Sciences. - 2003. - Vol. 60. - no. 1. - Pp. 86-99.

23. Froese, R. (2004), Keep it simple: three indicators to deal with overfishing. Fish and Fisheries, 5: 86-91. https://Doi.org/10.1111/j.1467-2979.2004.00144.x

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Chief editor

Svetlana Filippova

svetlana-filippova@yandex.ru

Chairman Of the Editorial Board

Ilya Shestakov

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GOST

Kozobrod I. D., Pyatinsky M. M., Vlasenko E. S. AZOV SEA VIMBA INDICATOR ASSESSMENT OF THE STATE OF FISH POPULATION IN TERMS OF LACK OF BIOLOGICAL DATA BY LBI MODEL // Fisheries. 2021. no. 3. pp. 68-75. DOI: https://doi.org/10.37663/0131-6184-2021-3-68-75. (Date of access 24.09.2026).

MLA

Inna Kozobrod, Pyatinsky M. M., Vlasenko E. S.. "AZOV SEA VIMBA INDICATOR ASSESSMENT OF THE STATE OF FISH POPULATION IN TERMS OF LACK OF BIOLOGICAL DATA BY LBI MODEL." Fisheries 2021.3 (2021): 68-75. DOI: https://doi.org/10.37663/0131-6184-2021-3-68-75.

APA

Kozobrod I. D., Pyatinsky M. M., Vlasenko E. S. (2021). AZOV SEA VIMBA INDICATOR ASSESSMENT OF THE STATE OF FISH POPULATION IN TERMS OF LACK OF BIOLOGICAL DATA BY LBI MODEL. Fisheries, 2021(3), 68-75. https://doi.org/10.37663/0131-6184-2021-3-68-75

Chicago

Inna Kozobrod, Pyatinsky M. M., Vlasenko E. S.. "AZOV SEA VIMBA INDICATOR ASSESSMENT OF THE STATE OF FISH POPULATION IN TERMS OF LACK OF BIOLOGICAL DATA BY LBI MODEL." Fisheries 2021, no. 3 (2021): 68-75. https://doi.org/10.37663/0131-6184-2021-3-68-75.

WIKI

{{cite journal | author = Kozobrod I. D., Pyatinsky M. M., Vlasenko E. S. | title = AZOV SEA VIMBA INDICATOR ASSESSMENT OF THE STATE OF FISH POPULATION IN TERMS OF LACK OF BIOLOGICAL DATA BY LBI MODEL | journal = Fisheries | year = 2021 | volume = 2021 | issue = 3 | pages = 68-75 | doi = 10.37663/0131-6184-2021-3-68-75 }}

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AZOV SEA VIMBA INDICATOR ASSESSMENT OF THE STATE OF FISH POPULATION IN TERMS OF LACK OF BIOLOGICAL DATA BY LBI MODEL

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