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机构地区:[1]重庆文理学院林学与生命科学学院,重庆永川402168 [2]广西红树林保护与利用重点实验室、广西科学院广西红树林研究中心,广西北海536000
出 处:《四川动物》2015年第4期481-488,共8页Sichuan Journal of Zoology
基 金:广西红树林保护与利用重点实验室基金资助(GKLMC-201205);“红树林和海草生态系统保育与生态监测”特聘专家岗位专项
摘 要:针对双齿近相手蟹Perisesarma bidens 9个群体(龙海、深圳、珠海、阳江、徐闻、企水、清澜港、北海、防城港)228只个体的22项形态比例参数,采用聚类分析、判别分析和主成分分析对群体间形态差异进行了比较。结果表明,聚类分析不能把群体明显地分群;9个群体提取的6个主成分的累积贡献率为84.09%,第一、二主成分绘制的散点图显示,各群体互相重叠,无法区分开来;综合判别准确率为40.8%,判别准确率不高,无法有效地运用判别函数依据个体形态特征进行分类;单因子方差分析显示,各群体大多数变量的差异具有统计学意义(P<0.05),说明双齿近相手蟹群体间个体形态有一定差异,可能是受环境影响;差异系数(CD)值均小于亚种分类的阈值1.28,说明群体间的形态差异小,未达到亚种水平。Twenty-two proportional parameters of morphometric characters were analyzed by the cluster analysis,discriminatory analysis and principle component analysis to reveal the morphological variations among nine geographical populations of Perisesarma bidens( 228 individuals) from Longhai,Shenzhen,Zhuhai,Yangjiang,Xuwen,Qinshui,Qinglan Barbor,Beihai and Fangcheng Port. The result of cluster analysis showed that P. bidens could not be divided. The result of principle component analysis indicated that six principle components were constructed by factor loading,and the cumulative contribution ratio was 84. 09%. Scatter plots of scores on the first and second principle component showed that there were overlapped species in the nine populations,and could not be distinguished. The total accuracy of discrimination was not high( 40. 8%),suggested that the individuals could not be effectively classified into their own population based on individual morphological characteristics as analyzed by discriminant function. One-Way ANOVA result revealed that there were significant differences( P〈0. 05) among populations in most morphological characteristics,suggested that there were differences of morphological characteristics in individuals,and these were likely due to the influence of environment. The coefficients of difference( CD) among the nine populations were lower than 1. 28( a well-known critical value of subspecies),suggested that there was no significant difference of morphological characteristics among the nine populations.
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