Quantifying the spatial nonstationary response of environmental factors on purse seine tuna vessel fishing
文献类型： 外文期刊
作者： Wang, Wei 1 ; Fan, Wei 3 ; Wu, Yumei 3 ; Zhang, Shengmao 2 ; Zhou, Weifeng 3 ; Fan, Xiumei 3 ; Shi, Jiashu 5 ; Jin, Weiguo 6 ; Wang, Guolai 6 ; Yang, Shenglong 3 ;
作者机构： 1.Shanghai Ocean Univ, Coll Informat, Shanghai 201306, Peoples R China
2.Laoshan Lab, Qingdao 266237, Peoples R China
3.Chinese Acad Fishery Sci, East China Sea Fisheries Res Inst, Minist Agr, Key Lab East China Sea & Ocean Fishery Resources E, Shanghai 200090, Peoples R China
4.Chinese Acad Fishery Sci, Key & Open Lab Remote Sensing Informat Technol Fis, Shanghai 200090, Peoples R China
5.Dalian Ocean Univ, Sch Nav & Naval Architecture, Dalian 116023, Peoples R China
6.Shanghai KaiChuang Deep Sea Fisheries Co Ltd, Shanghai 200131, Peoples R China
关键词： Tuna; Western and Central Pacific Ocean; Fishing effort; GWR; Spatial distribution; Spatial heterogeneity
期刊名称：HELIYON （ 影响因子：3.4； 五年影响因子：3.9 ）
ISSN：
年卷期： 2024 年 10 卷 12 期
页码：
收录情况： SCI
摘要： To investigate the spatial and temporal patterns of environmental factors influencing the activity of purse seine tuna fishing vessels, data on fishing efforts of purse seine tuna fleets and environmental factors in the Western and Central Pacific Ocean (WCPO) from 2015 to 2020 were utilized to develop a geographically weighted regression (GWR) model. The results showed that fishing activity was primarily concentrated in the area between 140 degrees E and 175 degrees W, and between 10 degrees S and 5 degrees N. The GWR model showed excellent fitting performance and was suitable for correlation analysis. The environmental factors had a significant spatially heterogeneous effect on the fishing activity of purse seine tuna fishing vessels. The sea surface temperature, primary productivity at 200 m depth, and dissolved oxygen below the surface had the greatest spatially heterogeneous effect and are important environmental variables influencing the activity of purse seine tuna vessels in the WCPO. This study provides new methods for exploring the spatial distribution of fishing vessel activity to support science-based conservation and management.
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