Determination of the commercial crab aggregations area on the data of fisheries statistics
https://doi.org/10.36038/2307-3497-2022-187-33-47
Abstract
The aim was to work out an algorithm for the analytical estimation of the commercial crabs aggregations area.
Materials were ship daily reports (SDR) from the fisheries of shelf and deep-sea crabs in 2013–2021.
As results, an original algorithm which allows calculating the surveyed area (of the crab commercial aggregations) as the sum of account squares is suggested. For each stock, the account square is characterized both by a certain side size and the minimum number of SDR, which allow us to consider it to be explored. Based on the data on the annual increase of the surveyed area, methodology for estimating the annual increase of the real area has been suggested. It takes into account both the annual variations of the fishing effort and outliers which may occur due to small number of samples. For different stocks, the minimum number of SDR, which allow to consider an account square to be explored, varied from 5 to 11 with a modal value of 7, the side size of the square varied presumably from 0.09 to 0.18 ° N, the relative annual increase of the real area varied from 0,82 to 1,23 with a modal value of 1.
Conclusion: New indicator for the commercial stock dynamics estimation is suggested.
Keywords
Crab,
fisheries statistics,
commercial crab aggregations,
area,
PBS-mapping,
outliers,
account square
Supporting agencies: The work was carried out within the framework of the state FSBI "VNIRO" on the topic "Research inbottom bioresources of the Russian seas and inland waters mov and the development of measures aimed at restoring decrease in the number of species experiencing significant anthropogenic load"
About the Author
A. I. Buyanovsky
Russian Federal Research Institute of Fisheries and Oceanography («VNIRO»)
Russian Federation
Russian Federation
Alexey I. Buyanovsky
105187
19, Okruzhnoy proezd
Moscow
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Review
For citations:
Buyanovsky A.I. Determination of the commercial crab aggregations area on the data of fisheries statistics. Trudy VNIRO. 2022;187:33-47. (In Russ.) https://doi.org/10.36038/2307-3497-2022-187-33-47
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