Relationship between Resource Distribution and Vertical Structure of Water Temperature of Purpleback Flying Squid (<i>Sthenoteuthis oualaniensis</i>) in the Northwest Indian Ocean Based on GAM and GBT Models
The Northwest Indian Ocean is a key fishing ground for China’s pelagic fisheries, with the purpleback flying squid being a significant target. This study uses commercial fishing logs of the Indian Ocean between 2015 and 2021, alongside pelagic seawater temperature and its vertical temperature differ...
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MDPI AG
2023-09-01
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| Series: | Journal of Marine Science and Engineering |
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| Online Access: | https://www.mdpi.com/2077-1312/11/9/1800 |
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| author | Chen Shang Haibin Han Junlin Chen Fenghua Tang Wei Fan Heng Zhang Xuesen Cui |
| author_facet | Chen Shang Haibin Han Junlin Chen Fenghua Tang Wei Fan Heng Zhang Xuesen Cui |
| author_sort | Chen Shang |
| collection | DOAJ |
| description | The Northwest Indian Ocean is a key fishing ground for China’s pelagic fisheries, with the purpleback flying squid being a significant target. This study uses commercial fishing logs of the Indian Ocean between 2015 and 2021, alongside pelagic seawater temperature and its vertical temperature difference within the 0–200 m depth range, to construct generalized additive models (GAMs) and gradient boosting tree models (GBTs). These two models are evaluated using cross-validation to assess their ability to predict the distribution of purpleback flying squid. The findings show that factors like year, latitude, longitude, and month significantly influence the distribution of purpleback flying squid, while surface water temperature, 200 m water temperature, and the 150–200 m water layer temperature difference also play a role in the GBT model. Similar factors also take effects in the GAM. Comparing the two models, both GAM and GBT align with reality in predicting purpleback flying squid resource distribution, but the precision indices of GBT model outperform those of the GAM. The predicted distribution for 2021 by GBT also has a higher overlap with the actual fishing ground than that by GAM, indicating GBT’s superior forecasting ability for the purpleback flying squid fishing ground in the Northwest Indian Ocean. |
| first_indexed | 2024-03-10T22:35:17Z |
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| id | doaj.art-9179e2cae11c4a2a8e6f3af20a8d0ae2 |
| institution | Directory Open Access Journal |
| issn | 2077-1312 |
| language | English |
| last_indexed | 2024-03-10T22:35:17Z |
| publishDate | 2023-09-01 |
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| series | Journal of Marine Science and Engineering |
| spelling | doaj.art-9179e2cae11c4a2a8e6f3af20a8d0ae22023-11-19T11:27:33ZengMDPI AGJournal of Marine Science and Engineering2077-13122023-09-01119180010.3390/jmse11091800Relationship between Resource Distribution and Vertical Structure of Water Temperature of Purpleback Flying Squid (<i>Sthenoteuthis oualaniensis</i>) in the Northwest Indian Ocean Based on GAM and GBT ModelsChen Shang0Haibin Han1Junlin Chen2Fenghua Tang3Wei Fan4Heng Zhang5Xuesen Cui6College of Marine Sciences, Shanghai Ocean University, Shanghai 201306, ChinaCollege of Marine Sciences, Shanghai Ocean University, Shanghai 201306, ChinaKey Laboratory of Fisheries Remote Sensing, Ministry of Agriculture and Rural Affairs, East China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Shanghai 200090, ChinaKey Laboratory of Fisheries Remote Sensing, Ministry of Agriculture and Rural Affairs, East China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Shanghai 200090, ChinaKey Laboratory of Fisheries Remote Sensing, Ministry of Agriculture and Rural Affairs, East China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Shanghai 200090, ChinaKey Laboratory of Fisheries Remote Sensing, Ministry of Agriculture and Rural Affairs, East China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Shanghai 200090, ChinaKey Laboratory of Fisheries Remote Sensing, Ministry of Agriculture and Rural Affairs, East China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Shanghai 200090, ChinaThe Northwest Indian Ocean is a key fishing ground for China’s pelagic fisheries, with the purpleback flying squid being a significant target. This study uses commercial fishing logs of the Indian Ocean between 2015 and 2021, alongside pelagic seawater temperature and its vertical temperature difference within the 0–200 m depth range, to construct generalized additive models (GAMs) and gradient boosting tree models (GBTs). These two models are evaluated using cross-validation to assess their ability to predict the distribution of purpleback flying squid. The findings show that factors like year, latitude, longitude, and month significantly influence the distribution of purpleback flying squid, while surface water temperature, 200 m water temperature, and the 150–200 m water layer temperature difference also play a role in the GBT model. Similar factors also take effects in the GAM. Comparing the two models, both GAM and GBT align with reality in predicting purpleback flying squid resource distribution, but the precision indices of GBT model outperform those of the GAM. The predicted distribution for 2021 by GBT also has a higher overlap with the actual fishing ground than that by GAM, indicating GBT’s superior forecasting ability for the purpleback flying squid fishing ground in the Northwest Indian Ocean.https://www.mdpi.com/2077-1312/11/9/1800generalized additive modelNorthwest Indian Oceangradient boosted trees<i>Sthenoteuthis oualaniensis</i>fishing ground prediction |
| spellingShingle | Chen Shang Haibin Han Junlin Chen Fenghua Tang Wei Fan Heng Zhang Xuesen Cui Relationship between Resource Distribution and Vertical Structure of Water Temperature of Purpleback Flying Squid (<i>Sthenoteuthis oualaniensis</i>) in the Northwest Indian Ocean Based on GAM and GBT Models Journal of Marine Science and Engineering generalized additive model Northwest Indian Ocean gradient boosted trees <i>Sthenoteuthis oualaniensis</i> fishing ground prediction |
| title | Relationship between Resource Distribution and Vertical Structure of Water Temperature of Purpleback Flying Squid (<i>Sthenoteuthis oualaniensis</i>) in the Northwest Indian Ocean Based on GAM and GBT Models |
| title_full | Relationship between Resource Distribution and Vertical Structure of Water Temperature of Purpleback Flying Squid (<i>Sthenoteuthis oualaniensis</i>) in the Northwest Indian Ocean Based on GAM and GBT Models |
| title_fullStr | Relationship between Resource Distribution and Vertical Structure of Water Temperature of Purpleback Flying Squid (<i>Sthenoteuthis oualaniensis</i>) in the Northwest Indian Ocean Based on GAM and GBT Models |
| title_full_unstemmed | Relationship between Resource Distribution and Vertical Structure of Water Temperature of Purpleback Flying Squid (<i>Sthenoteuthis oualaniensis</i>) in the Northwest Indian Ocean Based on GAM and GBT Models |
| title_short | Relationship between Resource Distribution and Vertical Structure of Water Temperature of Purpleback Flying Squid (<i>Sthenoteuthis oualaniensis</i>) in the Northwest Indian Ocean Based on GAM and GBT Models |
| title_sort | relationship between resource distribution and vertical structure of water temperature of purpleback flying squid i sthenoteuthis oualaniensis i in the northwest indian ocean based on gam and gbt models |
| topic | generalized additive model Northwest Indian Ocean gradient boosted trees <i>Sthenoteuthis oualaniensis</i> fishing ground prediction |
| url | https://www.mdpi.com/2077-1312/11/9/1800 |
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