Relative abundance index as an operational assessment of the state of the king blue crab stock in the Shelikhov Bay of Okhotsk Sea
https://doi.org/10.36038/2307-3497-2021-185-5-21
Abstract
The material of spring registration surveys of the blue king crab Paralithodes platypus conducted in the Shelikhov Bay of the Okhotsk Sea from 2007 to 2019 is presented. It is proposed to use the relative abundance index (I%N) for a quick assessment of the characterizing state of the stock of the exploited population. The index I%N is defined as the ratio of the number of a separate functional group of the crab to the maximum number for this group of crab in the study period, expressed as a percentage. A similar algorithm was used to determine the index of the relative density of the distribution of crabs (I%P) and the index of the relative average daily catch of fishing vessels for the first half of the year (I%M). When comparing the relative indices I%N, I%P, I%M, the most convincing was the relative population index I%N. To assess the stock status of the studied functional group of crabs in the values of the index I%N, it was proposed to distinguish 4 quartiles (interval 25 units): 1st quartile (Q1) I%N <75 stock condition is good; 2nd quartile (Q2) I%N = 51–75 stock condition is satisfactory or relatively stable; 3rd quartile (Q3) I%N 26–50 stock status uncertain; 4th quartile (Q4) I%N ≤25 stock status is unsatisfactory or depressive. The boundary values between quartiles Q1–Q2, Q2–Q3, and Q3–Q4 are I%N values of 75, 50, and 25, respectively. The dynamics of the I%N index in the studied time period reflects the real process taking place in the fishing unit of the stock based only on empirical data.
About the Authors
S. I. MoiseevRussian Federation
Moscow
D. O. Sologub
Russian Federation
Moscow
E. R. Shaginyan
Russian Federation
Petropavlovsk-Kamchatsky
References
1. Alekseyev D.O., Buyanovskiy A.I., Bizikov V.A. 2017. Printsipy edinoy strategii regulirovaniya promysla krabov i kraboidov v moryakh Rossii [General organizing principles of a unified strategy for managing crabs and king crabs fishery in the seas of Russia] // Voprosy rybolovstva. T. 18. No 1. S. 21–41.
2. Babayan V. K. 2000. Predostorozhnyj podhod k ocenke obshchego dopustimogo ulova (ODU): Analiz i rekomendacii po primeneniyu [Precautionary Approach to Assessment of Total Allowable Catch (TAC): Analysis and practical recommendations]. M.: Izd-voVNIRO. 192 p.
3. Bakanev S.V. 2008. Rezultaty primeneniya stohasticheskoj kogortnoj modeli CSA dlya ocenki zapasa kamchatskogo kraba Paralithodes camtschaticus v Barencevom more [Application of a stochastic cohort model CSA for red king crab, Paralithodes camtschaticus, in the Barents Sea] // Voprosy rybolovstva. T. 9. № 2(34). S. 294–306.
4. Bakanev S.V. 2016. Metody ocenki orientirov upravleniya zapasom kamchatskogo kraba v Barencevom more [Estimation methods for biological reference points of king crab stock in the Barents Sea] // Trudy VNIRO. T. 161. C. 16–26.
5. Bizikov V.A., Buyanovskij A.I., Goncharov S.M., Polyakov A.V., Popov S. B., Sidorov L. K. 2013. Bazy dannyh i geoinformatsionnye sistemy v upravlenii vodnymi biologicheskimi resursami [Application of databases and geographic information systems for the fishery management] // Aktual’nye voprosy ratsional’nogo ispol’zovaniya vodnyh biologicheskih resursov. Mat. I nauch. shk. mol. uchenyh i spetsialistov po rybnomu hozyajstvu i ehkologii, posvyashchennoj 100-letiyu so dnya rozhdeniya prof. P.A. Moiseeva. (15–19 aprelya 2013 g.; Zvenigorod). M.: Izd-vo VNIRO. P. 108–133.
6. Bizikov V. A., Goncharov S. M., Polyakov A. V. 2006. Novaya geograficheskaya informatsionnaya Sistema «Kartmaster» dlya obrabotki dannyh bioresursnyh s”emok [GIS «Chartmaster» — new geographic information system for processing the data of hydrological surveys] // VII Vseross. konf. prom. bespozv. M.: Izd-vo VNIRO. P. 18–24.
7. Buyanovsky A. I. 2012. Prognoz potentsialnogo vylova pribrezhnykh bespozvonochnykh pri zatrudnenii s otsenkoj zapasa [Forecast of potential catch for coastal invertebrates: data-poor cases]. Moscow: Izd-vo VNIRO. 222 s
8. Buyanovsky A. I. 2019 a. K ispolzovaniyu modelej istoshcheniya dlya ocenki promyslovyh zapasov krabov [On application of the depletion models for the commercial crabs stocks assessment] // Voprosy rybolovstva. T. 20. № 1. S. 107–122.
9. Buyanovsky A.I. 2019 b. Ispol’zovanie promyslovoj statistiki dlya ocenki dinamiki zapasa kraba-striguna Berda [Use of fisheries statistics for the tanner crab stock dynamics] // Voprosy rybolovstva. T. 20. № 4. S. 497–512.
10. Buyanovsky A.I. 2020 a. Ispolzovanie promyslovoj statistiki dlya korrektirovki ocenok zapasov kraba-striguna opilio v moryah Rossii [The snow crab fishery statistics in the russian seas: attempt of the corrected assessment application] // Voprosy rybolovstva. T. 21. № 1. S. 106–124.
11. Buyanovsky A. I. 2020 b. Dinamika promyslovyh zapasov sinego kraba v moryah Rossii s uchetom dannyh promyslovoj statistiki [The blue king crab commercial stocks dynamics in the Russian seas with account on fisheries statistics] // Voprosy rybolovstva. V. 21. № 4. P. 423–439.
12. Buyanovsky A.I., Alexeyev D.O. 2017. Promyslovaya statistika kak indikator sostoyaniya zapasa promyslovyh bespozvonochnyh [Fisheries statistics as indicator of stock assessment of marine invertebrates] // Voprosy rybolovstva. T. 18. № 3. S. 268–282.
13. Vinogradov L.G. 2013. Izbrannye Trudy [Selected works]. M.: Izd-vo VNIRO. 502 s.
14. Ilyin O.I., Ivanov P. Yu. 2015. Ob odnom modelnom podhode k ocenke sostoyaniya zapasov kamchatskogo kraba Paralithodes camtschaticus zapadnokamchatskogo shelfa [On one model approach to stock assessment for red king crab Paralithodes camtschaticus on the shelf of West Kamchatka] // Izvestiya. TINRO. T. 182. S. 38–47.
15. Ilyin O.I., Ivanov P. Yu. 2018. K ocenke sostoyaniya zapasov kraba-striguna berdi Kamchatsko-Kurilskoj podzony [To the stock abundance assessment of tanner crab in the kamchatka-kurile subzone] // Issledovaniya vodnyh biologicheskih resursov Kamchatki i severo-zapadnoj chasti Tihogo okeana. Vyp. 50. S. 27–33.
16. Klitin A.K. 1996. Kamchatskij krab shelfovoj zony o. Sahalin (literaturnyj obzor, istoriya promysla, prostranstvennaya i funkcionalnaya struktura populyacij) [The red king crab of the shelf zone o. Sakhalin (literary review, history of fishing, spatial and functional structure of populations)] // Vestnik sahalinskogo muzeya. № 1(3). S. 324–342.
17. Lysenko V. N. 2001. Osobennosti samcov sinego kraba v severovostochnoj chasti Ohotskogo moray [Peculiarities of the biology of the blue king crab Paralithodes platypus in the northeastern Sea of Okhotsk] // Biologiya morya. T. 27. № 3. S. 173–178.
18. Lysenko V.N., Gaidaev V.E. 2005. Rost kamchatskogo kraba Paralithodes camtschaticus v severnoj chasti zapadnokamchatskogo shelfa [Growth of the red king crab Paralithodes camtschaticus in the northern part of the West Kamchatka shelf] // Izvestiya TINRO. T. 143. S. 119–127.
19. Matishov G.G. 2008. Biologiya i fiziologiya kamchatskogo kraba pribrezh’ya Barenceva morya [Biology and physiology of the red king crab from the coastal zone of the Barents Sea]. Apatity: Izd-vo KNC RAN. 168 s.
20. Mikheev A.A. 2003. Stohasticheskaya kogortnaya model’ dlya bespozvonochnyh s preryvistym rostom [A stochastic cohort model for invertebrates with the interrupted growth] // Biologiya, sostoyanie zapasov i usloviya obitaniya gidrobiontov v Sahalino-Kuril’skom regione i sopredel’nyh akvatoriyah: Trudy SahNIRO. T. 5. S. 216–242.
21. Mikheev A. A. 2004. Modelirovanie stohasticheskih processov v ekspluatiruemyh populyaciyah ryb i bespozvonochnyh [Modeling of stochastic processes in exploited populations of fish and invertebrates]. Avtoref. diss. … kand. biol. nauk. Yuzhno-Sakhalinsk: SakhNIRO. 24 s.
22. Mikheev A.A., Bukin S.D., Perveyeva E.R., Zhivoglyadova L.A., Krutchenko A. A., Smirnov I. P. 2012. Ocenka zapasov bespozvonochnyh v Sahalino-Kurilskom rajone na osnove analiza vremennyh ryadov ulovov s primeneniem filtra Kalmana [Sakhalin-Kuril region invertebrate stock assessing based on the catch time series analysis with the Kalman filter application] // Izvestiya TINRO. T. 168. S. 99–120.
23. Moiseev S. I. 2009. Mezhgodovye kolebaniya plotnosti raspredeleniya kamchatskogo kraba ( Paralithodes camtschaticus) v rajone Zapadnoj Kamchatki za 2004-2008 gg. [Interannual fluctuations in the distribution density of the Kamchatka crab ( Paralithodes camtschaticus) in the area of Western Kamchatka for 2004–2008.] // X Vseros. konf. po problemam rybopromyslovogo prognozirovaniya. Tez. dokl. (g. Murmansk, 6–8 oktyabrya 2009 g.). Murmansk: PINRO. S. 96–97.
24. Moiseev S.I., Moiseeva S.A. 2016. Materialy operativnogo monitoringa promyslovyh krabov v Ohotskom more v osenne-zimnij period 2015 g. [The data of operational monitoring of commercial crabs in the Okhotsk Sea in the autumn–winter 2015] // Trudy VNIRO. T. 159. S. 198–206.
25. Moiseev S.I., Moiseeva S.A. 2017. Monitoring promyslovykh krabov v Okhotskom more v osenne-zimnij period 2016 S. 324–342. g. [Monitoring of commercial crabs in the Sea of Okhotsk during the autumn-winter period 2016.] // Trudy VNIRO. T. 165.
26. Moiseev S.I., Moiseeva S.A. 2019. Issledovaniya dominiruyushchih promyslovyh vidov krabov Ohotskogo morya osen’yu 2018 g. i vesnoj 2019 g. [Studies of the dominant commercial species of crabs of the Sea of Okhotsk in autumn 2018 and spring 2019] // Trudy VNIRO. T. 177. S. 204–214.
27. Ogurtsov A. Yu. 2005. K metodike ocenki zapasa volosatogo kraba po dannym lovushechnyh s”emok v Tatarskom prolive [To the technique of the estimation of stock of Erimacrus isenbeckii based on crab trap survey data in the Tatar Strait] // Trudy VNIRO. Т. 144. S. 294–303.
28. Slizkin A.G., Dolzhenkov V.N. 1997. K voprosu ob izmenenii i ustanovlenii promyslovoj mery dlya nekotoryh vidov krabov dal’nevostochnyh morej [On the issue of changing and establishing a fishing measure for certain types of crabs in the far Eastern seas] // Rybnoe. khozyajstvo. № 2. S. 43–44.
29. Sologub D. O., Shaginyan E. R. 2015. K voprosu ocenki popolneniya i prognozirovaniya promyslovogo zapasa sinego kraba ( Paralithodes platypus ) v severo-vostochnoj chasti Ohotskogo morya [Consurning to recruitment and stock assessment of blue king krab ( Paralithodes platypus ) in the north-eastern Okhotsk Sea] // Promyslovye bespozvonochnye. VIII Vseros. nauch. konf. po promyslovym bespozvonochnym. Mat. dokl. Kaliningrad: KGTU. S. 101–103.
30. Chernienko I. S. 2016. Modelirovanie dinamiki zapasa kolyuchego kraba Paralithodes brevipes yuzhnyh Kuril’skih ostrovov konechno-raznostnoj modelyu s zapazdyvaniem [Modelling of stock dynamics for spiny king crab Paralithodes brevipes at southern Kuril Islands using a finite-difference model with delay] // Izvestiya TINRO. T. 185. S. 102–111. Chernienko I.S.,
31. Chernienko E.P. 2019. Multimodelnyj podhod k prognozirovaniyu nekotoryh edinicz zapasa vodnyh biologicheskih resursov Saxalino-Kurilskogo regiona [Multi-model approach to some marine biological resources stock forecast in Sakhalin-Kuril region] // Voprosy Rybolovstva. T. 20. № 3. S. 374–386.
32. Shaginyan E. R. 2014. Sostoyanie zapasa i ocenka chislennosti sinego kraba (Paralithodes platipus, Brandt) Zapadno-Kamchatskoj pod-zony v putinu 2013 g. [Stat e of stock and assessment of stock abundan ce of blue king crab ( Paralithodes platipus , brandt) in the west kamchat ka subzone for fishery campaign 2013] // Issled. vod. biol. resursov Kamchatki i Severozapadnoj chasti Tihogo okeana. 2014. Vyp. 35. S. 56–62.
33. Shaginyan E.R. 2019. Promysel sinego kraba v Zapadno-Kamchatskoj podzone Ohotskogo morya v 2013–2018 gg. [Fishery of blue king crab in the West-Kamchatka subzone of the sea of Okhotsk in 2013–2018] // Issled. vod. biol. resursov Kamchatki i Severozapadnoj chasti Tihogo okeana. Vyp. 55. S. 92–106.
Review
For citations:
Moiseev S.I., Sologub D.O., Shaginyan E.R. Relative abundance index as an operational assessment of the state of the king blue crab stock in the Shelikhov Bay of Okhotsk Sea. Trudy VNIRO. 2021;185:5-21. (In Russ.) https://doi.org/10.36038/2307-3497-2021-185-5-21