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Position: Home > Articles > 中国大陆阿根廷滑柔鱼鱿钓渔业CPUE标准化 Journal of Fisheries of China 2013,37 (6) 951-960

中国大陆阿根廷滑柔鱼鱿钓渔业CPUE标准化

作  者:
陆化杰;陈新军;曹杰;李纲;田思泉;刘必林;方舟
单  位:
上海海洋大学海洋科学学院
关键词:
阿根廷滑柔鱼;CPUE标准化;广义线性模型;广义加性模型;中国大陆
摘  要:
阿根廷滑柔鱼是我国重要的头足类渔业之一,单位捕捞努力量渔获量(CPUE)标准化是对其资源进行评估的重要内容.研究根据2000-2010年中国大陆在西南大西洋的鱿钓产量统计数据和卫星遥感获得的海洋环境数据(表温,表温水平梯度,海面高度,叶绿素浓度),利用广义线性模型(general linear model,GLM)和广义加性模型(generalized additive model,GAM)对中国大陆西南大西洋阿根廷滑柔鱼渔业CPUE标准化.GLM模型结果表明,年、纬度、表温以及交互项年与纬度对CPUE影响最大.GAM模型研究结果则表明年、月、经度、纬度、表温、海面高度以及交互项年与纬度、年与经度对CPUE影响较大.根据AIC准则,包含上述8个显著变量的GAM模型为最佳模型,对CPUE的解释率为49.20%.高CPUE出现在夏季表温为12~16℃、海面高度为-20~20 cm和46.5°~48.5°S范围内.研究表明,GAM模型较GLM模型更适合用于西南大西洋阿根廷滑柔鱼渔业CPUE标准化.
单  位:
College of Marine Sciences,Shanghai Ocean University,Shanghai 201306,China%National Engineering Research Center for Ocenic Fisheries,Shanghai Ocean University,Shanghai 201306,China%Key Laboratory of Sustainable Exploitation of Oceanic Fisheries Resources,Ministry of Education,Shanghai Ocean University,Shanghai 201306,China
关键词:
Illex argentinus%CPUE%generalized linear model(GLM)%generalized additive model(GAM)%Chinese Mainland
摘  要:
Illex argentinus is one of the most important squid-jigging fishery of Chinese Mainland in Southw est Atlantic Ocean.It is necessary to standardize the catch per unit effort(CPUE) in the stock assessment.Generalized linear models(GLM) and generalized additive models(GAM) w ere used to standardize catch per unit effort(CPUE) of Illex argentinus for Chinese squid-jigging fishery in the southw est Atlantic Ocean based on the production data from 2000 to 2010 collected by Chinese Squid-jigging Technology Working Group and the environmental variables including sea surface temperature(SST),sea surface height(SSH) and chlorophyll-a(Chl-a).The GLM analysis indicated that the importance of four variables ranked by decreasing magnitude: Year,Latitude,Year * Latitude and SST.How ever,the GAM show ed that the model including Year,Month,Longitude,Latitude,SST,SSH,Year * Latitude and Year * Longitude w as the optimal model based on AIC and could explain 49.20% of the variance in nominal CPUE.GAM analysis indicated that high CPUEs w ere found in the area betw een 46.5° and 48.5°S at SST ranging from 12 ℃ to 16 ℃ and SSH ranging form-20 to 20 cm in summer.In this study,GAM tended to be more suitable than GLM in analysis of CPUE.

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