海洋渔业2025，Vol.47Issue(2)：153-162,10.
基于参数最优地理探测器的南太平洋长鳍金枪鱼渔业资源分布驱动力研究
Driving factors of Thunnus alalunga resource status in the South Pacific by the optimal parameters-based geographical detector
摘要
Abstract
Thunnus alalunga is the main species of Chinese tuna fishery in the South Pacific,and its spatio-temporal distribution of fishery resources is driven by multi-type factors.In order to explore the key driving factors of the spatio-temporal distribution of T.alaunga fishery resources,driving factors of regional differences and driving factors interaction effect,this study adopted T.alaunga logbooks of Chinese mainland commercial longline vessels and the oceanographic environmental data in the South Pacific from 2015 to 2019,using the geographical detector to detect the key driving factors and interaction factors of the whole region,the western area A(0°-40° S,150°-180 E°)and the eastern area B(0°-40° S,180°-130° W).Results showed that:In the whole region,latitude was the biggest driving factor of spatio-temporal distribution of T.alaunga fishery resources,and its explanatory power was 0.534 3,U150 and U200 were the main environmental driving factors with explanatory power of 0.330 5 and 0.322 2.The driving force interaction effect showed that the interaction between month and latitude and U150 was significantly nonlinear in the whole region.Year and temperature had a strong interaction effect in area A.Month and salinity had a strong interaction effect in area B.This study suggests that geographical detector is a useful method for assessing the influencing factors of resource distribution.The results can provide useful reference for the fisheries stock assessment and management of Thunnus alalunga resources in the South Pacific.关键词
长鳍金枪鱼/南太平洋/地理探测器/环境驱动因子/交互效应/分区探测Key words
Thunnus alaluga/South Pacific Ocean/geographic detector/environmental driving factors/interaction effect/partition detection分类
农业科技引用本文复制引用
姚紫荆,杨晓明,吴峰,田思泉..基于参数最优地理探测器的南太平洋长鳍金枪鱼渔业资源分布驱动力研究[J].海洋渔业,2025,47(2):153-162,10.基金项目
国家重点研发计划(2020YFD0901202,2019YFD0901502) （2020YFD0901202,2019YFD0901502）
