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首页> 外文期刊>Canadian Journal of Fisheries and Aquatic Sciences >Influence of oceanographic variability on recruitment of yellowfin tuna (Thunnus albacares) in the western and central Pacific Ocean
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Influence of oceanographic variability on recruitment of yellowfin tuna (Thunnus albacares) in the western and central Pacific Ocean

机译:海洋变化对太平洋中西部太平洋金枪鱼(Thunnus albacares)募集的影响

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摘要

Recruitment estimates for yellowfin tuna (Thunnus albacares) in the western and central Pacific Ocean (WCPO), derived from a stock assessment model, are highly variable seasonally, interannually, and over decadal periods. A generalized linear model (GLM) was developed that predicts the variation in yellowfin tuna recruitment in response to a range of oceanographic variables. The GLM model accounted for 54% of the variation in quarterly recruitment for the period 1980-2003, with the inclusion of seven different oceanographic variables derived from a zone within the northwestern equatorial region of the WCPO. The robustness of the recruitment model was investigated by cross-validation. The GLM was complemented by a cluster analysis approach that identified five principal oceanographic states within the northwestern zone selected by the GLM. Incorporation of the recent GLM recruitment indices in the yellowfin tuna stock assessment model is likely to improve the precision of estimates of current and projected (next 1-2 years) biomass and exploitation rates. In a broader context, the recruitment model provides a tool to investigate how yellowfin tuna recruitment might vary in response to short- and long-term variation in the oceanographic conditions of the WCPO.
机译:根据种群评估模型得出的西太平洋和中部太平洋(WCPO)的黄鳍金枪鱼(Thunnus albacares)的招聘估算在季节,年际和十年间变化很大。建立了一个广义线性模型(GLM),该模型预测了响应一系列海洋变量的黄鳍金枪鱼招募的变化。 GLM模型占1980-2003年期间季度招聘变化的54%,其中包括来自WCPO西北赤道区域内某个区域的七个不同的海洋学变量。通过交叉验证研究了招聘模型的鲁棒性。 GLM通过聚类分析方法得到补充,该分析方法确定了GLM选择的西北区域内的五个主要海洋学州。在黄鳍金枪鱼种群评估模型中纳入最新的GLM招聘指数可能会提高当前和预计(未来1-2年)生物量和开发速率的估算精度。在更广泛的背景下,征聘模型提供了一种工具,用于调查黄鳍金枪鱼的征聘可能会如何响应WCPO海洋条件的短期和长期变化而变化。

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