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当前位置: 首页 > 文章 > 阿根廷滑柔鱼(Illex argentinus)适宜栖息地模型比较及其在渔场预报中的应用 渔业科学进展 2015,36 (3) 8-13
Position: Home > Articles > Comparison Habitat Suitability Index Model of Illex argentinus and Its Application into Fishing Ground Forecasting Progress in Fishery Sciences 2015,36 (3) 8-13

阿根廷滑柔鱼(Illex argentinus)适宜栖息地模型比较及其在渔场预报中的应用

作  者：
丁琪;陈新军;汪金涛
单  位：
上海海洋大学海洋科学学院上海
关键词：
阿根廷滑柔鱼;西南大西洋;栖息地指数;海洋环境;渔场分布;外包络法
摘  要：
根据2003–2007年1–5月西南大西洋阿根廷滑柔鱼生产统计数据以及表温(SST)、海面高度(SSH)等海洋遥感数据,以作业次数为基础采用外包络法建立SST、SSH的适应性指数模型。分别采用算术平均法(AMM)和几何平均法(GMM)建立栖息地指数(HSI)模型,并对2003–2007年1–5月的HSI值与实际产量和作业次数作比较。研究结果显示,AMM和GMM均拟合较好,HSI>0.6时,AMM的产量和作业次数比例分别为86.75%和89.82%;GMM的产量和作业次数比例分别为84.30%和85.80%,AMM稍优于GMM。利用2008年1–5月的阿根廷滑柔鱼生产数据进行实证分析,结果显示,作业渔场主要分布在HIS>0.6的海域,其产量占总产量的64%以上,作业次数占总作业次数的68%以上;基于SST和SSH的AMM栖息地指数模型可用于阿根廷滑柔鱼中心渔场的实时动态预报,为该资源的高效开发提供科学依据。
译  名：
Comparison Habitat Suitability Index Model of Illex argentinus and Its Application into Fishing Ground Forecasting
作  者：
DING Qi;CHEN Xinjun;WANG Jintao;College of Marine Sciences, Shanghai Ocean University;Collaborative Innovation Center for Distant-Water Fisheries;National Distant-Water Fisheries Engineering Research Center, Shanghai Ocean University;Key Laboratory of Sustainable Exploitation of Oceanic Fisheries Resources, Ministry of Education, Shanghai Ocean University;
关键词：
Illex argentinus;;Southwest Atlantic Ocean;;Habitat suitability index;;Marine environment;;Fishing ground distribution;;Envelope method
摘  要：
According to the catch data of I. argentinus from Chinese squid jigging fishery in the Southwest Atlantic Ocean from January to May of 2003-2007 and the combination of sea surface temperature(SST) and sea surface height(SSH), fishing times-based Suitability Index(SI) Models were estimated by using the method of Data Envelopment Analysis. Using Arithmetic Mean Model(AMM) and Geometric Mean Model(GMM), the integrated habitat suitability index(HSI) was established based on SST and SSH. HSI values were compared with the actual catch and fishing times from January to May of 2003-2007. The results showed that both AMM and GMM were fitted well. When HSI is more than 0.6, AMM results indicated that the percentage of catch and fishing effort were 86.75% and 89.82% respectively, and GMM results revealed that the percentage of catch and fishing times were 84.30% and 85.80% respectively. AMM was slightly better than GMM to analyze the actual fishing data from 2003-2007. The HSI value in 2008 by AMM was further verified by the catch data. When HSI is bigger than 0.6, the percentage of catch and fishing times reached 64% and 68% respectively. Thus, AMM-based HSI model can be used to predict the real-time dynamic fishing ground of I. argentinus in the Southwest Atlantic Ocean, which would provide scientific guidance for its efficient exploitation.

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