MODERN CHALLENGES OF THE NORTHERN SHRIMP STOCK ASSESSMENT IN THE BARENTS SEA
Abstract
The paper describes current state of the northern shrimp stock assessment in the Barents Sea, as well as challenges in estimating total fishable biomass, carrying capacity and maximum sustainable yield. A comparative analysis of the results was carried out under various adjustments of the production model, including those used at the Joint NAFO/ICES Pandalus Assessment Working Group (NIPAG). The absolute stock assessment, as well as TAC assessment, as a derivative of the stock and its growth rate, in whole, depend not on the input data, but on our expert considerations about carrying capacity. This could be explained, primarily, by insignificant fishery impact on the stock against substantial interannual variation of the stock due to natural reasons. Besides, significant spatial variability of the area with numerous commercial aggregations complicates the stock modeling as a single population within stock-fisheries system. At the same time, it is possible to use trends methods instead of the analytical model without serious harm to scientific advice. In this case, the stock status could be assessed in the context of management requirements to ensure long-term sustainable exploitation, and the advice is provided based on a precautionary approach and maximum sustainable yield framework.
About the Author
S. V. Bakanev
Polar branch of The Russian Research Institute of Fisheries and Oceanography
Russian Federation
Russian Federation
References
1. Бабаян В. К. Предосторожный подход к оценке общего допустимого улова (ОДУ): анализ и рекомендации по применению. М.: Изд-во ВНИРО, 2000. 192 с.
2. Баканев С. В. Стандартизация производительности промысла камчатского краба в российских водах Баренцева моря в 2010-2018 гг. с помощью обобщенной линейной модели// Вопр. рыболовства. 2019. Т. 20. № 3. С. 363-373.
3. Беренбойм Б. И. Северная креветка (Pandalus borealis) Баренцева моря (биология и промысел). Мурманск: Изд-во ПИН-РО, 1992. 136 с.
4. Брязгин В. Ф. Pandalus borealis Баренцева моря. Экология и структура вида // Физико-химические условия формирования биологической продукции Баренцева моря: Апатиты. Кольский филиал АН СССР. 1980. С. 93-106.
5. Буяновский А. И. Прогноз потенциального вылова прибрежных беспозвоночных при затруднении с оценкой запаса. М.: Изд-во ВНИРО, 2012. 221 с.
6. Вентцель Е. С. Теория вероятностей: Учебник для студ. вузов. 9-е изд., стер. М.: Академия. 2003. 576 с.
7. Рикер У. Е. Методы оценки и интерпретация биологических показателей рыб/ Пер. с англ.- М.: Пищевая промышленность. 1979. 408 с.
8. Cochran W. G. Sampling techniques. 2nd ed. John Wiley & Sons, Inc., New York, N.Y. 1963. 413 p.
9. FAO. Reference points for fisheries management: their potential application to straddling and highly migratory resources. FAO Fish. 1993. Circ. 864. 52 p.
10. Haddon М. Modelling and quantitative methods in fisheries. Chapman & Hall/CRC Washington, D.C. 2001. 406 p.
11. Hvingel C. An assessment of the shrimp (Pandalus borealis) stock in the Barents Sea. NAFO SCR Doc. 07/76. 2007. 16 р.
12. Hvingel C. Shrimp (Pandalus borealis) in the Barents Sea - Stock assessment, 2019. NAFO SCR Doc. 19/054. 2019. 16 р.
13. Hvingel C., Kingsley M. C.S. A framework to model shrimp (Pandalus borealis) stock dynamics and quantify risk associated with alternative management options, using Bayesian methods. ICES J. Mar. Sci. V. 63. 2006. P. 68-82.
14. ICES. 2012 a. ICES implementation of advice for data limited stocks in 2012. Report in support of ICES advice. ICES CM2012/ ACOM: 68.
15. ICES. 2012 b. Report of the workshop to finalize the ICES data-limited stock (DLS) methodologies documentation in an operational form for the 2013 advice season and to make recommendations on target categories for data limited stocks (WKLIFE2). ICES CM 2012/ ACOM: 79.
16. ICES. 2019. NAFO/ICES Pan-dalus Assessment Group Meeting, 08 to 13 November 2019 Havforskningsinstituttet (IMR), Tromso, Norway. ICES CM 2019 / FRSG1:84. 70 p.
17. NAFO Precautionary Approach Framework. Report of the PA Working Group. Serial No. N5069, NAFO/FC Doc. 04/18. 2004. 5 p.
18. Punt. A., Hilborn. R. Fisheries stock assessment and decision analysis: the Bayesian approach. Reviews in Fish Biology and Fisheries, V.7. 1997. P. 35-63.
19. Olsen E., Gjoswter H., Rettingen I., Dommasnes A., FossumP., Sandberg P. The Norwegian ecosystem-based management plan for the Barents Sea// ICES J. Mar. Sci. 2007. V. 64: 599-602.
20. Schaefer M. B. Some aspects of the dynamics of populations important to the management of the commercial marine fisheries // Bull. Inter-Am. Trop. Tuna Comm. 1954. V. 1 (2). P. 25-56.
21. Schnute, J.T. A General Framework for Developing Sequential Fisheries Models// Can. J. Fish. Aquat. Sci. 1994. V. 51. P. 1676-1688.
Review
For citations:
Bakanev S.V. MODERN CHALLENGES OF THE NORTHERN SHRIMP STOCK ASSESSMENT IN THE BARENTS SEA. Problems of Fisheries. 2020;21(2):218-234. (In Russ.)
Email this article 