Quantifying the spatial nonstationary response of environmental factors on purse seine tuna vessel fishing
Wei Wang,
Wei Fan,
Yumei Wu,
Shengmao Zhang,
Weifeng Zhou,
Xiumei Fan,
Jiashu Shi,
Weiguo Jin,
Guolai Wang,
Shenglong Yang
Affiliations
Wei Wang
College of Information, Shanghai Ocean University, Shanghai, 201306, China; Key Laboratory of East China Sea & Oceanic Fishery Resources Exploitation and Utilization, Ministry of Agriculture, East China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Shanghai, 200090, China; Key and Open Laboratory of Remote Sensing Information Technology in Fishing Resources, Chinese Academy of Fishery Sciences, Shanghai, 200090, China
Wei Fan
Key Laboratory of East China Sea & Oceanic Fishery Resources Exploitation and Utilization, Ministry of Agriculture, East China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Shanghai, 200090, China; Key and Open Laboratory of Remote Sensing Information Technology in Fishing Resources, Chinese Academy of Fishery Sciences, Shanghai, 200090, China
Yumei Wu
Key Laboratory of East China Sea & Oceanic Fishery Resources Exploitation and Utilization, Ministry of Agriculture, East China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Shanghai, 200090, China; Key and Open Laboratory of Remote Sensing Information Technology in Fishing Resources, Chinese Academy of Fishery Sciences, Shanghai, 200090, China
Shengmao Zhang
Laoshan Laboratory, Qingdao, 266237, China; Key Laboratory of East China Sea & Oceanic Fishery Resources Exploitation and Utilization, Ministry of Agriculture, East China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Shanghai, 200090, China; Key and Open Laboratory of Remote Sensing Information Technology in Fishing Resources, Chinese Academy of Fishery Sciences, Shanghai, 200090, China
Weifeng Zhou
Key Laboratory of East China Sea & Oceanic Fishery Resources Exploitation and Utilization, Ministry of Agriculture, East China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Shanghai, 200090, China; Key and Open Laboratory of Remote Sensing Information Technology in Fishing Resources, Chinese Academy of Fishery Sciences, Shanghai, 200090, China
Xiumei Fan
Key Laboratory of East China Sea & Oceanic Fishery Resources Exploitation and Utilization, Ministry of Agriculture, East China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Shanghai, 200090, China; Key and Open Laboratory of Remote Sensing Information Technology in Fishing Resources, Chinese Academy of Fishery Sciences, Shanghai, 200090, China
Jiashu Shi
School of Navigation and Naval Architecture, Dalian Ocean University, Dalian, 116023, China
Weiguo Jin
Shanghai Kaichuang Deep Sea Fisheries Co., Ltd., Shanghai, 200131, China
Guolai Wang
Shanghai Kaichuang Deep Sea Fisheries Co., Ltd., Shanghai, 200131, China
Shenglong Yang
Key Laboratory of East China Sea & Oceanic Fishery Resources Exploitation and Utilization, Ministry of Agriculture, East China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Shanghai, 200090, China; Key and Open Laboratory of Remote Sensing Information Technology in Fishing Resources, Chinese Academy of Fishery Sciences, Shanghai, 200090, China; Corresponding author. Key Laboratory of East China Sea & Oceanic Fishery Resources Exploitation and Utilization, Ministry of Agriculture, East China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Shanghai, 200090, China.
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°E and 175°W, and between 10°S and 5°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.
