References

kamniro

Исследования водных биологических ресурсов Камчатки и северо-западной части Тихого океана

The researches of the aquatic biological resources of Kamchatka and the North-West Part of the Pacific Ocean

2072-82122782-6236

«КамчатНИРО»

10.15853/2072-8212.2019.55.72-91

kamniro-84

Research Article

ОРИГИНАЛЬНЫЕ НАУЧНЫЕ СТАТЬИ

FULL ARTICLES

К ОЦЕНКЕ И ПРОГНОЗУ СОСТОЯНИЯ ЗАПАСА СЕВЕРНОЙ КРЕВЕТКИ PANDALUS EOUS MAKAROV, 1935 У ЮГО-ЗАПАДНОЙ КАМЧАТКИ

ON STOCK ASSESSMENT AND FORECASTING THE STOCK ABUNDANCE OF NORTH SHRIMP PANDALUS EOUS MAKAROV, 1935 NEAR SOUTH-WESTERN KAMCHATKA

Ильин

О. И.

Ilyin

O. I.

ilin.o.i@kamniro.ru

Михайлова

О. Г.

Mikhaylova

O. G.

mikhailova.o.g@kamniro.ru

Камчатский филиал Всероссийского научно-исследовательского института рыбного хозяйства и океанографии («КамчатНИРО»)РоссияKamchatka Branch of Russian Research Institute of Fisheries and Oceanography (“KamchatNIRO”)Russian Federation

2019

21052020

0557291

2020

Ильин О.И., Михайлова О.Г.

Ilyin O.I., Mikhaylova O.G.

Данная работа распространяется под лицензией Creative Commons Attribution 4.0.

This work is licensed under a Creative Commons Attribution 4.0 License.

https://kamniro.elpub.ru/jour/article/view/84

В настоящей работе при некоторых предположениях относительно роста северной креветки предпринимается попытка методом расщепления смеси распределений определить ее возрастной состав по размерной структуре. Оцениваются средняя длина, средняя масса и доля особей промыслового размера северной креветки по возрастным группам. Полученные результаты используются для моделирования динамики и последующего вероятностного прогноза промыслового запаса и возможного вылова северной креветки у юго-западного побережья Камчатки. Для оценки запасов применяются продукционная модель Шефера, статистическая когортная модель и модель динамики функциональных групп типа «CSA».

Based on some assumptions about growth of north shrimp we made an attempt in this research to evaluate age composition of the crustacean from size structure using the method of mixture separation. Average length, average weight and part of individuals of commercial size were evaluated in different age groups. Obtained results were used to simulate dynamics and consequent likelihood forecast of the commercial stock and total allowed catch of north shrimp near South-Western coast of Kamchatka. Shaefer production model, statistical cohort model and model of the “CSA”-type functional groups dynamics were used for the stock abundance assessment.

СЕВЕРНАЯ КРЕВЕТКАОЦЕНКА ЗАПАСАПРОДУКЦИОННАЯ МОДЕЛЬ ШЕФЕРАКОГОРТНАЯ МОДЕЛЬМОДЕЛЬ «CSA»ВОЗРАСТНОЙ СОСТАВ

NORTH SHRIMPSTOCK ASSESSMENTSHAEFER PRODUCTION MODELCOHORT MODEL“CSA” MODELAGE COMPOSITION

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The authors declare that there are no conflicts of interest present.