Application of the machine learning method to estimate the biomass of pacific cod in the North Kuril zone
The biomass of pacific cod (Gadus macrocephalus) in the North Kuril fishing zone is estimated using a multifactorial approach, with evaluation of uncertainty. For this purpose, the density of fish over entire zone is restored using the data on density obtained in 2022 compared with the data of previ...
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| Format: | Article |
| Language: | Russian |
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Transactions of the Pacific Research Institute of Fisheries and Oceanography
2023-01-01
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| Series: | Известия ТИНРО |
| Subjects: | |
| Online Access: | https://izvestiya.tinro-center.ru/jour/article/view/795 |
| _version_ | 1797700541097181184 |
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| author | V. V. Kulik M. I. Goryunov |
| author_facet | V. V. Kulik M. I. Goryunov |
| author_sort | V. V. Kulik |
| collection | DOAJ |
| description | The biomass of pacific cod (Gadus macrocephalus) in the North Kuril fishing zone is estimated using a multifactorial approach, with evaluation of uncertainty. For this purpose, the density of fish over entire zone is restored using the data on density obtained in 2022 compared with the data of previous surveys and fishery data obtained in 2021 and earlier, converted to the same scale, with application of the machine learning method, as the random forest in the multiple imputation by chained equations procedure (MICE). The coefficient of the restored data determination with out-of-bag (test set) data was > 0.8 with the data of scientific survey in 2021 and > 0.5 with the data of Danish seine observations. The cod density variance in MICE data was in 82 % lower than in the data of the scientific survey; therefore the biomass estimation with MICE data has lower uncertainty than that one calculated just from the mean density in survey. The study showed insignificant difference of the cod biomass in 2021 and 2022. Spatial segregation is revealed for fishing gears used for the pacific cod fishery. There is proposed to extend the list of fishing gears and to expand the study area for reducing possible bias in the biomass estimation due to large area of extrapolation. |
| first_indexed | 2024-03-12T04:23:22Z |
| format | Article |
| id | doaj.art-cf1364c7e8c1446d9b30427896a4c51d |
| institution | Directory Open Access Journal |
| issn | 1606-9919 2658-5510 |
| language | Russian |
| last_indexed | 2024-03-12T04:23:22Z |
| publishDate | 2023-01-01 |
| publisher | Transactions of the Pacific Research Institute of Fisheries and Oceanography |
| record_format | Article |
| series | Известия ТИНРО |
| spelling | doaj.art-cf1364c7e8c1446d9b30427896a4c51d2023-09-03T10:32:28ZrusTransactions of the Pacific Research Institute of Fisheries and OceanographyИзвестия ТИНРО1606-99192658-55102023-01-0120241002101410.26428/1606-9919-2022-202-1002-1014702Application of the machine learning method to estimate the biomass of pacific cod in the North Kuril zoneV. V. Kulik0M. I. Goryunov1Тихоокеанский филиал ВНИРО (ТИНРО)Тихоокеанский филиал ВНИРО (ТИНРО)The biomass of pacific cod (Gadus macrocephalus) in the North Kuril fishing zone is estimated using a multifactorial approach, with evaluation of uncertainty. For this purpose, the density of fish over entire zone is restored using the data on density obtained in 2022 compared with the data of previous surveys and fishery data obtained in 2021 and earlier, converted to the same scale, with application of the machine learning method, as the random forest in the multiple imputation by chained equations procedure (MICE). The coefficient of the restored data determination with out-of-bag (test set) data was > 0.8 with the data of scientific survey in 2021 and > 0.5 with the data of Danish seine observations. The cod density variance in MICE data was in 82 % lower than in the data of the scientific survey; therefore the biomass estimation with MICE data has lower uncertainty than that one calculated just from the mean density in survey. The study showed insignificant difference of the cod biomass in 2021 and 2022. Spatial segregation is revealed for fishing gears used for the pacific cod fishery. There is proposed to extend the list of fishing gears and to expand the study area for reducing possible bias in the biomass estimation due to large area of extrapolation.https://izvestiya.tinro-center.ru/jour/article/view/795биомассатихоокеанская трескасеверо-курильская зонаслучайный лесmice |
| spellingShingle | V. V. Kulik M. I. Goryunov Application of the machine learning method to estimate the biomass of pacific cod in the North Kuril zone Известия ТИНРО биомасса тихоокеанская треска северо-курильская зона случайный лес mice |
| title | Application of the machine learning method to estimate the biomass of pacific cod in the North Kuril zone |
| title_full | Application of the machine learning method to estimate the biomass of pacific cod in the North Kuril zone |
| title_fullStr | Application of the machine learning method to estimate the biomass of pacific cod in the North Kuril zone |
| title_full_unstemmed | Application of the machine learning method to estimate the biomass of pacific cod in the North Kuril zone |
| title_short | Application of the machine learning method to estimate the biomass of pacific cod in the North Kuril zone |
| title_sort | application of the machine learning method to estimate the biomass of pacific cod in the north kuril zone |
| topic | биомасса тихоокеанская треска северо-курильская зона случайный лес mice |
| url | https://izvestiya.tinro-center.ru/jour/article/view/795 |
| work_keys_str_mv | AT vvkulik applicationofthemachinelearningmethodtoestimatethebiomassofpacificcodinthenorthkurilzone AT migoryunov applicationofthemachinelearningmethodtoestimatethebiomassofpacificcodinthenorthkurilzone |