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

作　　者：姚紫荆 杨晓明[1,2,3,4,5] 吴峰 田思泉[1,2,3,4,5] YAO Zijing;YANG Xiaoming;WU Feng;TIAN Siquan(College of Marine Lirving Resource Sciences and Management,Shanghai Ocean University,Shanghai 201306,China;National Engineering Research Center for Oceanic Fisheries,Shanghai 201306,China;Key Laboratory of Sustainable Ex ploitation of Oceanic Fisheries Resources,Ministry of Education,Shanghai 201306,China;Key Laboratory of Oceanic Fisheries Ex ploration,Ministry of Agriculture and Rural Affairs,Shanghai 201306,China;Scientific Observing and Ex perimental Station of Oceanic Fishery Resources,Ministry of Agriculture and Rural Affairs.Shanghai 201306,China)

机构地区：[1]上海海洋大学海洋生物资源与管理学院,上海201306 [2]国家远洋渔业工程技术研究中心,上海201306 [3]大洋渔业资源可持续开发教育部重点实验室,上海201306 [4]农业农村部大洋渔业开发重点实验室,上海201306 [5]农业农村部大洋渔业资源环境科学观测实验站,上海201306

出　　处：《海洋渔业》2025年第2期153-162,共10页Marine Fisheries

基　　金：国家重点研发计划(2020YFD0901202,2019YFD0901502)。

摘　　要：长鳍金枪鱼(Thunnus alalunga)是我国在南太平洋的最主要渔获物种,其资源分布受多种因子驱动,且一些因子间对资源分布影响存在交互效应。为了探寻长鳍金枪鱼渔业资源分布的关键驱动力、驱动因子的区域差异和驱动因子交互效应,采用中国2015—2019年南太平洋长鳍金枪鱼渔船渔捞日志数据和相关海洋环境数据,使用地理探测器分别探测南太平洋全域、西部海域A区(范围为0°~40°S、150°~180°E)和东部海域B区(范围为0°~40°S、180°~130°W)的主要驱动单因子和交互因子。结果显示:从全海域角度,纬度因子是渔业资源分布最大驱动因子,其解释力为0.5343;环境驱动因子中150 m东西向流速和200 m东西向流速为主要驱动因子,解释力分别为0.3305和0.3222。驱动力交互效应显示:全域内,某些月份的纬度因子与150 m东西向流速因子交互作用呈显著的非线性增强;A区内,年份因子和水温因子具有较强烈的交互效应;B区内,月份因子和盐度因子存在较强烈的交互效应。研究结果表明,地理探测器是一种分析资源分布驱动力的有效手段,可为南太平洋长鳍金枪鱼渔业资源养护管理提供有益参考。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 0.5343,U150 and U200 were the main environmental driving factors with explanatory power of 0.3305 and 0.3222.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 

分 类 号：S931[农业科学—渔业资源]