Analysis of multi-scale effects and spatial heterogeneity of environmental factors influencing purse seine tuna fishing activities in the Western and Central Pacific Ocean
文献类型： 外文期刊
作者： Wang, Wei 1 ; Fan, Wei 1 ; Yu, Linlin 1 ; Wang, Fei 1 ; Wu, Zuli 1 ; Shi, Jiashu 5 ; Cui, Xuesen 1 ; Cheng, Tianfei 1 ; Jin, Weiguo 6 ; Wang, Guolai 6 ; Dai, Yang 2 ; Yang, Shenglong 1 ;
作者机构： 1.Chinese Acad Fishery Sci, East China Sea Fisheries Res Inst, Key Lab East China Sea & Ocean Fishery Resources, Minist Agr, Shanghai 200090, Peoples R China
2.Laoshan Lab, Qingdao 266237, Peoples R China
3.Chinese Acad Fishery Sci, Key & Open Lab Remote Sensing Informat Technol Fis, Shanghai 200090, Peoples R China
4.Shanghai Ocean Univ, Coll Informat, Shanghai 201306, 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; MGWR; Fishing effort; Environmental factors; Spatial heterogeneity; Western and Central Pacific Ocean
期刊名称：HELIYON （ 影响因子：3.6； 五年影响因子：3.9 ）
ISSN：
年卷期： 2024 年 10 卷 18 期
页码：
收录情况： SCI
摘要： Understanding the spatial fishing activity distribution characteristics is important for the sustainable development of fisheries. Spatial nonstationarity is always present, especially in marine ecosystems. To explore how marine environmental factors affect the fishing effort of tuna purse seine vessels, data from 2015 to 2020 on the fishing activities of these fleets and environmental variables in the Western and Central Pacific Ocean (WCPO) were analyzed. A Generalized Additive Model (GAM), Geographically Weighted Regression model (GWR), and Multi-Scale Geographically Weighted Regression (MGWR) model were applied to explore the drivers of fishing activity and the impacts of environmental factors on spatial heterogeneity. The results indicate that: (1) The MGWR models has the highest prediction accuracy and effectively reflects the spatial heterogeneity and multi-scale effects of environmental factors in a year. (2) Environmental factors exhibit significant multi-scale effects and spatial heterogeneity on the fishing activities of purse seine tuna vessels. Sea floor depth, salinity at 200 m depth and sea surface temperature show the greatest spatial heterogeneity in their impact on fishing activities. (3) Sea surface temperature, distance to port, and primary productivity and salinity at 200 m depth are key variables influencing the fishing activities of purse seine tuna vessels. These findings are expected to provide scientific and effective guidance for fishery management and sustainable development by assessing the spatial variations in fishing activities at multiple scales.
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