海洋渔业2025，Vol.47Issue(2)：129-140,12.
基于多尺度渔业数据的印度洋大眼金枪鱼CPUE标准化研究
CPUE standardization for Thunnus obesus in the Indian Ocean based on multi-scale fisheries data
摘要
Abstract
Research on the standardization of catch-per-unit-effort(CPUE)for Thunnus obesus is important for the conservation and sustainable management of its fishery resources.The challenge lies in the dynamic nature of fishing strategies,which can lead to variations in vertical environmental factors and species composition clusters,ultimately influencing CPUE standardization outcomes across diverse spatial scales.To gain a comprehensive understanding of these interactions,fishery data from three distinct spatial resolutions was collected:5°×5° and 1°×1° datasets from the Indian Ocean Tuna Commission(IOTC),and a high-resolution 0.1°×0.1° dataset from China's longline fishery.The focus was on the operational areas of Chinese longline fishing vessels in the Indian Ocean.We meticulously examined the influence of vertical environmental factors,including temperature,salinity,dissolved oxygen concentration,and thermocline depth within a water depth range of 0-500 m.Additionally,we considered species composition clusters,which reflected the complex interactions between Thunnus obesus and other species within the ecosystem.To enhance the robustness and reliability of our model,we incorporated the geographical area of the 5°,1°,and 0.1° grids as model weights.By incorporating these weights,we aimed to create a more accurate and representative model of CPUE standardization for Thunnus obesus.The findings offered several key insights into the factors influencing CPUE standardization for Thunnus obesus.Firstly,the thermocline depth and dissolved oxygen concentration at a depth of 240 m emerged as significant factors in the CPUE standardized model.These parameters likely played a crucial role in determining the habitat preferences and distribution patterns of Thunnus obesus in the Indian Ocean.Secondly,the inclusion of species composition clusters significantly improved the accuracy of standardized CPUE.This suggested that considering the interactions between Thunnus obesus and other species within the ecosystem was essential for developing effective management strategies.Lastly,our results indicated that the grid area should be considered as the model weight in the standardized model.This approach allowed the model to adapt to changes in effort concentration and fish populations across varying spatial locations,providing a more accurate representation of CPUE standardization outcomes.By understanding the influencing factors of CPUE standardization,we can develop more effective management strategies that address the complex interactions between fishing strategies,environmental factors,and species composition.The findings can contribute to the long-term conservation and sustainable use of Thunnus obesus resources in the Indian Ocean and beyond.关键词
大眼金枪鱼/多尺度渔业数据集/CPUE标准化/海洋立体环境因子/物种组成因子/网格面积Key words
Thunnus obesus/multi-scale fishery datasets/CPUE standardization/marine vertical environmental variables/species composition cluster/grid area分类
农业科技引用本文复制引用
张天蛟,信佳,宋利明,袁红春,宋博..基于多尺度渔业数据的印度洋大眼金枪鱼CPUE标准化研究[J].海洋渔业,2025,47(2):129-140,12.基金项目
国家自然科学基金(项目编号:32403031) （项目编号:32403031）
国家重点研发计划(项目编号:2023YFD2401301) （项目编号:2023YFD2401301）
"远洋渔业资源可持续开发"重点实验室开放基金(项目编号:A1-2006-23-200207) （项目编号:A1-2006-23-200207）
