Indicator approach in the qualitative assessment of the stock state of the long-clawed crayfish in the Volga River and its watercooms (Astrakhan region)
https://doi.org/10.36038/2307-3497-2023-191-25-36
Abstract
The aim of the paper is a qualitative assessment of the stock of long - clawed crayfish on the basis of the indicator approach.
Methods used: indicator approach of qualitative stock assessment, methods of descriptive statistics, regression analysis.
Novelty: a qualitative assessment of the stocks of long - clawed crayfish in the Astrakhan region by the indicator approach has not been previously carried out.
Result: Qualitative assessments of the state of the stock of long- clawed crayfish in the Astrakhan region in 2016-2020 were obtained. The results of the assessments showed that in 2016, 2019 and 2020 its stock in the Astrakhan region was in an uncertain state (an integral assessment showed no dynamics in the state of the stock for the worse or better), and in 2017 and 2018 - in the alarming state (the integral assessment showed a negative trend in the state of the stock). The final integral assessment made it possible to formulate recommendations for the further exploitation of the stock of this species of hydrobiont.
Practical significance: this study represents the application of the indicator approach in the biological sub -stantiation of the assessment of the total allowable catch of long - clawed crayfish in the Astrakhan region.
About the Authors
I. A. Safaraliev
VNIRO, Volga-Caspian Branch (CaspNIRKH)
Russian Federation
Russian Federation
Ildar A. Safaraliev
1 Savuskin st., Astrakhan, 414056
V. V. Barabanov
VNIRO, Volga-Caspian Branch (CaspNIRKH)
Russian Federation
Russian Federation
Vitaliy V. Barabanov
1 Savuskin st., Astrakhan, 414056
O. A. Maznikova
Russian Federal Research Institute of Fisheries and Oceanography (VNIRO)
Russian Federation
Russian Federation
Olga A. Maznikova
19, Okruzhnoy proezd, Moscow, 105187
References
1. Aksyutina Z.M. 1968. Elements of mathematical evaluation of the results of observations in biological and fishery research. M: Pishevaya promyshlennost. 288 p. (In Russ.).
2. Babayan VK. 1998. On the management strategy for highly fluctuating fish stocks // Abstr. of the VII All- Russian Conference on Problems of Fishery Forecasting. Murmansk October 7-9, 1998 Murmansk: PINRO. P 37-38. (In Russ.).
3. Babayan V.K. 2000. Precautionary approach to estimating total allowable catch (TAC). Moscow: VNIRO Publish. 192 p. (In Russ.).
4. Bukin S.D., Begalova G. V 2011. Influence of fishing on some biological parameters of the grass shrimp Pandalus latirostris in the bay Treason (Kunashir Island) // Izvestiya TINRO. V. 165. P. 104-116. (In Russ.).
5. Buyanovskij A.I. 2012. Forecast of the potential catch of coastal invertebrates in case of difficulty in stock assessment. Guidelines. Moscow: VNIRO. Publish. 222 p. (In Russ.).
6. Buyanovskij A.I. 2019. The use of fishing statistics to assess the dynamics of Baird's snow crab stock // Problems of Fisheries. V. 20. No. 4. P.497-512. (In Russ.).
7. Buyanovskij A.I. 2020 а. The use of fishing statistics to correct estimates of the stocks of snow crab opilio in the seas of Russia // Problems of Fisheries. V. 21. No. 1. P 106-124. (In Russ.).
8. Buyanovskij A.I. 2020 б. Dynamics of commercial stocks of blue crab in the seas of Russia, taking into account the data of commercial statistics // Problems of Fisheries. V. 21. No. 4. P.423-439. (In Russ.).
9. Ivanter E.V., KorosovA. V 2011. Introduction to Quantitative Biology: A Study Guide. Petrozavodsk: PetrSU. 302 p. (In Russ.).
10. KolmykovE.V. 2001. Biological bases for regulating the number of crayfish (Pontastacus) in the Volga delta. PhD abstr. in biology. Astrakhan: ASTU. 24 p. (In Russ.).
11. Kolmykov E.V., Ushivcev V.V. 1998. Fluctuation of the population of crayfish in the lower reaches of the river. Volga // Abstr. of the VII All-Russian Conference on Problems of Fishery Forecasting. Murmansk October 7-9, 1998 Murmansk: PINRO. P. 116-118. (In Russ.).
12. Rumyancev V.D. 1974. River crayfish of the Volga- Caspian. M.: Pishevaya promyshlennost. 86 p. (In Russ.).
13. Ushivcev V.B. 1997. The state of stocks of crayfish in the Volga-Caspian region // Problems of conservation, rational use and reproduction of crayfish. M.: Medinop LLP. P. 119-121. (In Russ.).
14. Shchukina G.F., Bukin S.D. 2001. On the existence of a latent period in the manifestation of external signs of overfishing // Abstracts of reports. international scientific-practical conf. «Coastal Fishing - XXI Century», Yuzhno- Sakhalinsk, September 19-21, 2001, SakhNIRO. Yu.-Sakhalinsk: Sakhalin book publishing house. P. 129-130. (In Russ.).
15. Abou El Ouafa A., Annala J., Bonzon A., Chesson J., Chong K. C., Christensen V, Dahl A, Garcia S. M., Harwood M., Huber D., Hundloe T., Lankester K., McGlade J., McManus J., O’Connor M., Perrings C., Prein M., Rayns N., Seijo J. C., Sissenwine M., Smith T., Soeftestad L. T., Staples D., Stokes K., Ward T., Willmann R. 1999. Indicators for sustainable development of marine capture fisheries. FAO Technical Guidelines for Responsible Fisheries. № 8. Rome, FAO. 68p.
16. Caddy J. F. 1999. Deciding on precautionary management measures for a stock based on a suite of Limit Reference Points (LRPs) as a basis for a multi-LPR harvest law // NAFO Sci. Council Studies. V/ 32. P. 55-68.
17. Caddy J. F., Wade E., Surette T., Hebert M., Moriyasu M. 2005. Using an empirical traffic light procedure for monitoring and forecasting in the Gulf of St. Lawrence fishery for the snow crab, Chionoecetes opilio // Fish. Res. V. 76. P. 123145. DOI: 10.1016/j.fishres.2005.06.003
18. Daan N., Christensen V, Cury Ph.M. (eds). 2005. Quantitative ecosystem indicators for fishery management. Proc. Symp. Paris, France 31 March-3 April 2004 // ICES J. Mar. Sci. V. 62. No. 3. 614 p.
19. Halliday R. G., Fanning L. P., Mohn R.K. 2001. Use of the traffic light method in fishery management planning // CSAC Res. Doc. No. 108. 41 p.
20. Harford W. J., Amoroso R., Bell R. J., Caillaux M., Cope J. M., Dougherty D., Dowling N.A., Hurd F., Lomonico S., Nowlis J., Ovando D., Parma A. M., Prince J. D. and Wilson J. R. 2021. Multi indicator harvest strategies for data limited fisheries: a practitioner guide to learning and design // Frontiers in Marine Science. 08 December. P. 1-16. DOI:10.3389/fmars.2021.757877.
21. Koeller P., Savard L., Parsons D.G., Fu C. 2000. A precautionary approach to assessment and management of shrimp stocks in the northwest Atlantic // J. Northwest Atlantic Fish. Sci. V. 27. P.235-246.
22. Koeller P., Fuentes-Yaco C, Covey M., King M., Zisserson B. 2011. The Last Traffic Light on the Scotian Shelf: Shrimp 20092010 // DFO Can. Sci. Advis. Sec. Res. Doc. No. 2011/061. 84 p.
23. Miethe T., Dobby H., McLay A. 2016. The Use of Indicators for Shellfish Stocks and Fisheries: a Literature Review. Scottish Marine and Freshwater Science. V. 7. No. 16. 78 pp. DOI: 10.7489/1764-1.
24. Mohn R. K., Parsons D. G., Savard L. 1992. Report of Canadian Atlantic fisheries scientific advisory committee special meeting, invertebrate and marine plants subcommittee, shrimp management alternatives, December 5-8, 1989. Ottawa, Canada // Can. Techn. Rep. of Fish. and Aquat. Sci. No 1884 (IV). P.1-30.
Review
For citations:
Safaraliev I.A., Barabanov V.V., Maznikova O.A. Indicator approach in the qualitative assessment of the stock state of the long-clawed crayfish in the Volga River and its watercooms (Astrakhan region). Trudy VNIRO. 2023;191:25-36. (In Russ.) https://doi.org/10.36038/2307-3497-2023-191-25-36
Email this article 