The environmental niche of the squid-jigging fleet in the North Pacific Ocean based on automatic identification system data
文献类型： 外文期刊
作者： Yang, Shenglong 1 ; Fei, Yingjie 3 ; Yu, Linlin 1 ; Tang, Fenghua 1 ; Zhang, Shengmao 1 ; Cheng, Tianfei 1 ; Fan, Wei 1 ; Yuan, Sanling 3 ; Zhang, Heng 1 ; Jiang, Keji 1 ;
作者机构： 1.Chinese Acad Fishery Sci, East China Sea Fisheries Res Inst, Key & Open Lab Remote Sensing Informat Technol Fis, Shanghai 200090, Peoples R China
2.Minist Agr & Rural Affairs, Key Lab Fisheries Remote Sensing, Shanghai 200090, Peoples R China
3.Univ Shanghai Sci & Technol, Coll Sci, Shanghai 200093, Peoples R China
4.Shanghai Ocean Univ, Coll Informat, Shanghai 201306, Peoples R China
关键词： Squid-jigging fleet; Automatic identification system; Fishing effort; Boosted regression trees
期刊名称：ECOLOGICAL INDICATORS （ 影响因子：6.9； 五年影响因子：6.6 ）
ISSN： 1470-160X
年卷期： 2023 年 155 卷
页码：
收录情况： SCI
摘要： The vast number of fishing fleets and limited regulatory capacity pose challenges to the effective monitoring and management of marine fishery resources. To understand the fishing characteristics of spatial distribution for squid-jigging fleets in the North Pacific Ocean (NPO), satellite-based automatic identification system (AIS) data during 2016 ti 2020 and marine environmental data were applied to explore the drivers of fishing activities based on the boosted regression tree (BRT) and generalized additive model (GAM). The results showed that the BRT model has better performance than the GAM. The spatial distribution of squid-jigging fleets has a significant seasonality. Specifically, the spatial distribution of Fishing effort (FE) gradually shifted to the northwest from May to September, while gradually shifted to the southwest from October to November. The favourable area for focusing FE was the 150 degrees E ti 165 degrees E, 40 degrees N ti 44 degrees N. The latitudinal distribution of FE was not wide and the longitudinal distribution was long. Variations in the marine environment constantly influenced the FE of the squid-jigging fleets. Overall, the influence of sea surface temperature (T0) on FE was most significant. The favourable range of T0 for FE was 12 ti 20 degrees C. Water temperature at the 300 m depth (T300) was also an important factor through the fishing season. The favourable range of T300 for FE was 3 ti 6 degrees C. There were obvious differences in the influence of other environmental factors on FE in different months. Different environmental variables drive the spatial distribution of fishing effort in different months. This study may help to scientifically and effectively guide fishery management and sustainable development by evaluating the spatial variations in fishing activity.
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