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我国南海4个真曲巴非蛤自然种群的形态差异分析
引用本文:刘建勇,孙成波,李文,吴继兴.我国南海4个真曲巴非蛤自然种群的形态差异分析[J].热带生物学报,2010,1(1):72-77.
作者姓名:刘建勇  孙成波  李文  吴继兴
作者单位:广东海洋大学,水产学院,广东,湛江524088 
摘    要:采用3种多元分析方法,对我国南海区4个真曲巴非蛤种群的8个形态性状进行比较研究。聚类分析和主成分分析结果表明,广东湛江、海南海口和广东阳江种群的形态最接近,广西北海种群的趋异程度最大。主成分分析构建了2个主成分,贡献率:第1主成分为32.840%,第2主成分为26.106%,累积贡献率为58.945%。判别分析结果表明,4个种群间形态差异显著(P0.01)。建立了4个种群的真曲巴非蛤的判别函数,判别准确率P1为46.7%~100%,P2为40.5%~96.7%,而综合判别率为64.7%。Mantel检验结果表明,欧氏距离与地理直线距离无明显相关性(r=0.0974,P=0.5770)。

关 键 词:真曲巴非蛤  自然种群  形态差异  多元分析

Morphological Variations Analysis of Different Populations of Paphia euglypta Along South China Sea
LIU Jian-yong,SUN Cheng-bo,LI Wen,WU Ji-xing.Morphological Variations Analysis of Different Populations of Paphia euglypta Along South China Sea[J].Journal of Tropical Biology,2010,1(1):72-77.
Authors:LIU Jian-yong  SUN Cheng-bo  LI Wen  WU Ji-xing
Institution:( Fisheries College of Guangdong Ocean University, Zhanjiang 524088, China)
Abstract:Three mulitivariation analysis methods (cluster analysis, principal component analysis and discriminate analysis) were used to compare the morphological characters of four populations Yangjiang, Zhanjiang, Haikou and Beihai. The results of clusters analysis and principal of Paphia euglypta in component analysis indicated that the morphological characters were similar among the populations in Yangjiang, Zhanjiang and Haikou, but quite different from that of Beihai. In the principal component analysis, two principal components were constructed, the contributory ratio of the first principal component was 32. 840%, that of the second principal component was 26. 106%, and the cumulative contributory ratio was 58. 945%. The results of discriminant analysis revealed that there were significant differences among the four populations ( P 〈 0.01 ). The identification accuracy was 46.7% - 100% (P1) and 40.5% -96.7% (P2). The total discriminant accuracy was 64.7%. The Mantel test results showed that Euclidean distance was positively correlated with geographical distance ( r = 0. 0974, P = 0. 5770).
Keywords:Paphia euglypta  population  morphological variation  mulitivariation analysis
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