利用栖息地适宜指数分析秘鲁外海茎柔鱼渔场分布
Forecasting fishing ground of Dosidicus gigas based on habitat suitability index off Peru
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摘要: 根据2003—2007年秘鲁外海茎柔鱼渔获数据以及海洋环境数据 ,利用主成分分析法确定各环境因子的权重,分别采用权重求和法和几何平均法进行栖息地适宜指数(HSI)建模分析,选择最优模型进行实证分析,结果表明,权重最高的环境因子为SST,最小的为Chl-a浓度。HSI值较高的海区一般位于200海里专属经济区外附近海域。经统计比较,用权重求和法计算所得HSI值好于几何平均法。利用2008年茎柔鱼生产数据进行实证分析,产量和作业次数随HSI值升高而增加,权重求和法的HSI模型可用于茎柔鱼渔场的实时动态预报。分析还显示, HSI分布情况与研究海域的的海洋环境密切相关,HSI不小于0.8的海区一般处在水团交汇处。Abstract: According to the catch data of Dosidicus gigas and the marine environmental data, i.e.,sea surface temperature (SST), sea surface temperature horizontal gradient (SSTHG), sea surface salinity (SSS), sea surface height (SSH), chlorophyll (Chl-a) concentration in the fishing ground outside EEZ of Peru during 2003 to 2007, the method of principal component analysis was used to determine the weight of environmental factors, the weighted sum method and the geometric mean method were used to model habitat suitability index (HSI), and the optimal model was selected for an empirical analysis. The results show that the highest weight with the environmental factors for SST, the smallest for the Chl-a concentration. The high value of HSI estimated from the weighted sum method and the geometric mean method is generally distributed in the waters outside the 200 n mile exclusive economic zone. Based on the statistical comparison, the weighted sum method is better than the geometric mean method in the HSI calculation.The empirical analysis also shows that the weighted sum for estimating HSI is better suited to speculate fishing ground in 2008 since the average yield increase with the higher HSI values, which suggests that weighted sum method for estimating HSI can be used to predict the real-time dynamic fishing ground of Dosidicus gigas. The results also reveal that the putative HSI is closely related with marine environment, and the area with the HSI value above 0.8 is located at the mixture water.
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