The Environmental Niche of the Light Purse Seine Fleet in the Northwest Pacific Ocean Based on Automatic Identification System Data
文献类型： 外文期刊
作者： Yang, Shenglong 1 ; Wan, Lijun 1 ; Yu, Linlin 1 ; Shi, Jiashu 1 ; Zhou, Weifeng 1 ; Zhang, Shengmao 1 ; Wang, Fei 1 ; Wu, Zuli 1 ; Dai, Yang 1 ; Jiang, Keji 1 ; Fan, Wei 1 ;
作者机构： 1.Chinese Acad Fishery Sci, Minist Agr & Rural Affairs, East China Sea Fisheries Res Inst, Key Lab Fisheries Remote Sensing, 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.Dalian Ocean Univ, Sch Nav & Naval Architecture, Dalian 116023, Peoples R China
5.Shanghai Ocean Univ, Coll Informat, Shanghai 201306, Peoples R China
关键词： Northwest Pacific Ocean; light purse seine vessels; AIS; GAM; BRT
期刊名称：JOURNAL OF MARINE SCIENCE AND ENGINEERING （ 影响因子：2.8； 五年影响因子：2.8 ）
ISSN：
年卷期： 2024 年 12 卷 11 期
页码：
收录情况： SCI
摘要： Ecosystem-based fisheries management requires high-precision fisheries information to provide relevant data for natural resource management, assessment, and marine spatial planning. This study utilizes Automatic Identification System (AIS) data from light purse seine vessels from the Chinese mainland that were collected from May to November between 2020 and 2022, along with the corresponding environmental data. By applying boosted regression trees (BRTs) and generalized additive models (GAMs), this study establishes nonlinear relationships between fishing intensity and predictor variables and explores the ecological and environmental drivers behind the spatial distribution of light purse seine vessels from the Chinese mainland in the Northwest Pacific. This research identifies the key influencing factors and reveals significant seasonal preferences for different marine environments in various months, with chlorophyll-a being the primary influencing factor. The predicted fishing effort closely resembles observed data, providing valuable information to support fisheries resource management and planning.
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