运用多变量形态度量学分析方法,对太湖、洪泽湖及南四湖3个湖泊湖鲚(Coilia ectenes)种群的形态变异进行了分析.聚类分析表明,南四湖种群与洪泽湖种群形态最为接近,聚为一支,太湖种群变异最大,成为相对独立的一支;主成分分析表明,不同湖泊湖鲚种群形态度量参数有重叠,但太湖种群比其他种群形态趋异程度大,已有一定程度的形态分化,分析筛选出前3个主成分的累积贡献率为52.5％;判别分析采用8个形态变量,分别构建了3个种群的判别函数,其综合判别准确率为80.6％.%Using the multivariate raorphometrics, the morphological variations were investigated among three geographical populations of Coilia ectenes, including the population from Taihu Lake, Hongzehu Lake, and Nansihu Lake. Cluster analysis showed that the morphological characters were similar between the populations of Hongzehu Lake and Nansihu Lake, but quite different of the Taihu Lake population, thus, formed two independent clades. The principal component analysis showed that the three populations shared some morphological characters, but there were distinct differences between the population in Taihu Lake and the other lakes. A toltal of 8 principal components were constructed, the cumulative contribution of this first three principal component was 52.5%. Using the eight variances, three discriminant functions for those three populations were constructed, and the results showed that the prediction accuracy was 80.6%.
展开▼
