Information support for chub mackerel Scomber japonicus fishery in the Pacific waters of the Russian Federation
Methods of machine learning were applied for forecasting of chub mackerel fishing grounds in the South Kuril fishery district. The problem of perspective fishing area definition was reduced for a binary classification task, i.e. the sets of environmental conditions corresponded with presence or abse...
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| Format: | Article |
| Language: | Russian |
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Transactions of the Pacific Research Institute of Fisheries and Oceanography
2021-07-01
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| Series: | Известия ТИНРО |
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| Online Access: | https://izvestiya.tinro-center.ru/jour/article/view/636 |
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| author | E. P. Chernienko I. S. Chernienko |
| author_facet | E. P. Chernienko I. S. Chernienko |
| author_sort | E. P. Chernienko |
| collection | DOAJ |
| description | Methods of machine learning were applied for forecasting of chub mackerel fishing grounds in the South Kuril fishery district. The problem of perspective fishing area definition was reduced for a binary classification task, i.e. the sets of environmental conditions corresponded with presence or absence of fishing operations were determined for each point within the district. The fishery statistics for 2016–2020 and the data on SST with delay of 4–7 days from the date of catch, spatial SST gradients calculated using Belkin algorithm, and day-to-day SST variations were processed using LightGBM machine learning algorithm. The model was trained on the data for 2016–2019 and verified on the data for 2020. The AUC (as an aggregate measure of performance across all possible classification thresholds) varied from 0.65 to 0.92. In the fishery season of 2020, AUC was 0.69, on average, growing to 0.75 in the period of the highest catches. Approximately 75 % of the annual catch of chub mackerel was caught at the predicted sites in 2020; this portion reached 84 % in the period of the highest catches. |
| format | Article |
| id | doaj-art-6ca87f6f1a73456e8b312f62fa1e6470 |
| institution | DOAJ |
| issn | 1606-9919 2658-5510 |
| language | Russian |
| publishDate | 2021-07-01 |
| publisher | Transactions of the Pacific Research Institute of Fisheries and Oceanography |
| record_format | Article |
| series | Известия ТИНРО |
| spelling | doaj-art-6ca87f6f1a73456e8b312f62fa1e64702025-08-20T03:19:00ZrusTransactions of the Pacific Research Institute of Fisheries and OceanographyИзвестия ТИНРО1606-99192658-55102021-07-01201239039910.26428/1606-9919-2021-201-390-399583Information support for chub mackerel Scomber japonicus fishery in the Pacific waters of the Russian FederationE. P. Chernienko0I. S. Chernienko1VNIRO (TINRO)VNIRO (TINRO)Methods of machine learning were applied for forecasting of chub mackerel fishing grounds in the South Kuril fishery district. The problem of perspective fishing area definition was reduced for a binary classification task, i.e. the sets of environmental conditions corresponded with presence or absence of fishing operations were determined for each point within the district. The fishery statistics for 2016–2020 and the data on SST with delay of 4–7 days from the date of catch, spatial SST gradients calculated using Belkin algorithm, and day-to-day SST variations were processed using LightGBM machine learning algorithm. The model was trained on the data for 2016–2019 and verified on the data for 2020. The AUC (as an aggregate measure of performance across all possible classification thresholds) varied from 0.65 to 0.92. In the fishery season of 2020, AUC was 0.69, on average, growing to 0.75 in the period of the highest catches. Approximately 75 % of the annual catch of chub mackerel was caught at the predicted sites in 2020; this portion reached 84 % in the period of the highest catches.https://izvestiya.tinro-center.ru/jour/article/view/636chub mackerelscomber japonicuspelagic fishery seasonsouth kuril fishery districtoperational forecastingmachine learning |
| spellingShingle | E. P. Chernienko I. S. Chernienko Information support for chub mackerel Scomber japonicus fishery in the Pacific waters of the Russian Federation Известия ТИНРО chub mackerel scomber japonicus pelagic fishery season south kuril fishery district operational forecasting machine learning |
| title | Information support for chub mackerel Scomber japonicus fishery in the Pacific waters of the Russian Federation |
| title_full | Information support for chub mackerel Scomber japonicus fishery in the Pacific waters of the Russian Federation |
| title_fullStr | Information support for chub mackerel Scomber japonicus fishery in the Pacific waters of the Russian Federation |
| title_full_unstemmed | Information support for chub mackerel Scomber japonicus fishery in the Pacific waters of the Russian Federation |
| title_short | Information support for chub mackerel Scomber japonicus fishery in the Pacific waters of the Russian Federation |
| title_sort | information support for chub mackerel scomber japonicus fishery in the pacific waters of the russian federation |
| topic | chub mackerel scomber japonicus pelagic fishery season south kuril fishery district operational forecasting machine learning |
| url | https://izvestiya.tinro-center.ru/jour/article/view/636 |
| work_keys_str_mv | AT epchernienko informationsupportforchubmackerelscomberjaponicusfisheryinthepacificwatersoftherussianfederation AT ischernienko informationsupportforchubmackerelscomberjaponicusfisheryinthepacificwatersoftherussianfederation |