环境因子对东南太平洋智利竹䇲鱼渔场时空分布异质性影响  

Study on spatial heterogeneity effect of environmental factors on distribution of Chilean jack mackerel in Southeast Pacific Ocean

作　　者：白思琦 邹晓荣[1,2] 张鹏[1] 丁鹏 BAI Siqi;ZOU Xiaorong;ZHANG Peng;DING Peng(College of Marine Sciences,Shanghai Ocean University,Shanghai 201306,China;National Engineering Research Center for Oceanic Fisheries/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]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省部共建教育部重点实验室/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1期17-24,共8页South China Fisheries Science

基　　金：国家高技术研究发展计划(863计划)项目“竹䇲鱼资源高效利用关键技术研究”(2012AA092301);上海市重点学科建设项目(S30702)。

摘　　要：基于2012—2018年4—8月我国东南太平洋智利竹䇲鱼(Trachurus murphyi)渔捞日志数据,应用地理权重回归模型(GWR)探究智利竹䇲鱼渔场资源分布与环境因子的空间异质性关系。结果表明,环境因子海面温度基于GWR模型回归的拟合优度为0.54,校正的拟合优度为0.34,赤池信息准则(Akaike Information Criterion,AIC)值为1022.08;叶绿素a浓度基于GWR模型回归的拟合优度为0.48,校正的拟合优度为0.36,AIC值为2321.95;海面温度异常值的拟合优度为0.74,校正的拟合优度为0.58,AIC值为2268.07;海面高度异常值的拟合优度为0.72,校正的拟合优度为0.59,AIC值为2201.93;作业水深的拟合优度为0.46,校正的拟合优度为0.42,AIC值为2675.07;海面温度异常对东南太平洋智利竹䇲鱼渔场时空分布影响最大。GWR模型便于发现资源分布的“热点”海域,可为我国智利竹筴鱼渔船生产提供科学依据。Based on the fishery data of Chilean jack mackerel(Trachurus murphyi)in the Southeast Pacific Ocean from 2012 to 2018,the geographically weighted regression(GWR)model was applied to analyze the spatial heterogeneity relationship between fishing ground distribution and environmental factors.The results show that the goodness of fit(R2)between CPUE and sea surface temperature(SST),chlorophyll a concentration(Chl-a),sea surface temperature anomaly(SSTA),sea surface height anomaly(SSHA),gear depth were 0.54,0.48,0.74,0.72 and 0.46,respectively.The adjusted R2 between CPUE and SST,Chl-a,SSTA,SSHA,gear depth were 0.34,0.36,0.58,0.59 and 0.42,respectively.The Akaike information criterion(AIC)between CPUE and SST,Chl-a,SSTA,SSHA,gear depth were 1022.08,2321.95,2268.07,2201.93 and 2675.07,respectively.SSTA is more influential than the other environmental factors on the spatio-temporal distribution of Chilean jack mackerel fishing grounds in the Southeast Pacific Ocean.The GWR model is used to explore the"hot spot"zones and can provide a scientific basis for the production of Chilean jack mackerel.

关 键 词：智利竹䇲鱼 东南太平洋 地理权重回归模型 空间异质性 

分 类 号：S934[农业科学—渔业资源]