中国水产科学2025，Vol.32Issue(8)：1164-1173,10.DOI:10.12264/JFSC2025-0042
南太平洋长鳍金枪鱼栖息地分布影响因素
Factors influencing the habitat distribution of albacore tuna in the South Pacific
摘要
Abstract
This study is based on logbook data from longline fisheries targeting albacore tuna(Thunnus alalunga)in the South Pacific from 2020 to 2022.A geographically weighted random forest(GWRF)model was applied and Shapley additive explanations(SHAP)were incorporated to develop an interpretable habitat prediction model and analyze the influence of key environmental factors on albacore tuna distribution.The study aims to provide a scientific basis for habitat research and the sustainable management of albacore tuna in the South Pacific.The results indicate that compared to the traditional random forest(RF)model,the GWRF model improves key performance metrics,including precision,accuracy,recall,and the area under the receiver operating characteristic curve(AUC),by 5%-10%.Feature importance and SHAP contribution analyses identified sea surface temperature,sea surface dissolved oxygen concentration,temperature at 50 m depth,and dissolved oxygen concentration at 50 m depth as the key environmental factors influencing albacore tuna habitat distribution.SHAP interpretability analysis further revealed the optimal habitat conditions,indicating that the most suitable habitats were located in areas where sea surface temperature and temperature at 50 m depth ranged from 15℃to 20℃while sea surface dissolved oxygen concentration and dissolved oxygen concentration at 50 m depth ranged from 240 to 260 mmol/m3.Individual prediction SHAP value decomposition further confirmed that suitable temperature and sufficient dissolved oxygen are the key factors influencing albacore tuna habitat selection.These findings provide new insights into the spatial distribution patterns of albacore tuna habitats and the underlying environmental driving mechanisms.关键词
长鳍金枪鱼/地理加权随机森林/机器学习/可解释模型Key words
Thunnus alalunga/geographically weighted random forest/machine learning/interpretable model分类
水产学引用本文复制引用
刘力文,郑淳文,李娅琳,周想,吴峰,朱江峰,周成..南太平洋长鳍金枪鱼栖息地分布影响因素[J].中国水产科学,2025,32(8):1164-1173,10.基金项目
国家重点研发计划项目(2023YFD2401301,2023YFD2401305) （2023YFD2401301,2023YFD2401305）
农业农村部全球渔业资源调查、监测与评估项目(D-8025-24-5001). （D-8025-24-5001）
