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作 者:谢笑艳 汪金涛[1,3] 陈新军[1,3] 陈丕茂[2] XIE Xiaoyan;WANG Jintao;CHEN Xinjun;CHEN Pimao(College of Marine Sciences,Shanghai Ocean University,Shanghai 201306,China;South China Sea Fisheries Research Institute,Chinese Academy of Fishery Sciences,Guangzhou 510300,China;Key Laboratory of Oceanic Fisheries Exploration,Ministry of Agriculture and Rural Affairs/National Engineering Research Center for Oceanic Fisheries,Shanghai Ocean University/Key Laboratory of Sustainable Exploitation of Oceanic Fisheries Resources,Ministry of Education/Scientific Observing and Experimental Station of Oceanic Fishery Resources,Ministry of Agriculture and Rural Affairs,Shanghai 201306,China)
机构地区:[1]上海海洋大学海洋科学学院,上海201306 [2]中国水产科学研究院南海水产研究所,广东广州510300 [3]农业农村部大洋渔业开发重点实验室/国家远洋渔业工程技术研究中心/大洋渔业资源可持续开发教育部重点实验室/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:《南方水产科学》2021年第5期86-92,共7页South China Fisheries Science
基 金:国家自然科学基金项目(NSFC41876141);上海市科技创新行动计划(19DZ1207502)。
摘 要:印度洋金枪鱼延绳钓渔业是我国远洋渔业的重要组成部分,海洋不同深度的水温影响到长鳍金枪鱼(Thunnus alalunga)延绳钓渔获率。文章利用2008—2017年延绳钓生产作业数据,并结合Argo浮标水温数据,采用广义加性模型(Generalized additive model,GAM)分析长鳍金枪鱼空间分布与不同深度水温之间的关系。结果表明,海表面(0 m)、200和400 m 3个水层的温度显著影响长鳍金枪鱼的空间分布,最优的GAM模型对渔获率(单位捕捞努力量渔获量,Catch per unit effort,CPUE)的方差解释率为53.3%,模型拟合的决定系数为0.527。长鳍金枪鱼渔获率与所选取的3个水层温度均呈非线性关系,高渔获区集中分布于17~30℃的表层海域,17~20℃的200 m层海域,9~15℃的400 m层海域,以及他们的交集海线。文章初步得出了南印度洋长鳍金枪鱼空间分布与水深断面温度的关系,可为指导长鳍金枪鱼的合理生产提供技术支撑。Longline tuna fisheries in the Indian Ocean are commerically important for Chinese offshore fisheries.Water temperature at different depths can affect longline albacore catch rates.In this paper,the generalized additive model(GAM)was used to analyze the relationship between the the catch rate of albacore(Thunnus alalunga)and water temperature at different depths based on the fishery data and corresponding Argo buoy data during 2008−2017.The results show that the catch rate of albacore tuna catch rate was significantly affected by the sea surface temperature(0 m),water temperature at depth of 200 and 400 m.The optimal GAM model explained the variance of catch rate(Catch per unit effort)by 53.3%,and the determining coefficient of model was 0.527.The catch rates of albacore tuna had a nonlinear relationship with the temperature of the three selected water layers.High catch areas were concentrated at the surface layer of 17−30℃,200 m deep sea area of 17−20℃,and 400 m deep sea area of 9−15℃,and their intersection areas.We have derived the relationship between the spatial distribution of albacore tuna catch rate in the South Indian Ocean and the temperature of three water depth sections for the first time,and the results provide technical support for guiding the rational production of albacore tuna in the Indian Ocean.
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