红树蚬与歪红树蚬形态差异分析

【目的】从形态上区分红树蚬(Polymesoda erosa)和歪红树蚬(Polymesoda expansa)。【方法】运用多变量形态度量学分析方法,采用14项生物学形态性状指标比较广西廉州湾草头村红树林的红树蚬与歪红树蚬的差异。【结果】方差分析结果显示,1个比例性状达到差异显著水平(P0.05),12个比例性状达到差异极显著水平(P0.01)。主成分分析构建了4个主成分,第1主成分贡献率为30.70%,第2主成分贡献率为17.76%,第3主成分贡献率为10.11%,第4主成分贡献率为7.80%,累计贡献率为66.37%。逐步判别分析建立判别函数,其判别准确率p1为81.7%~89.0%,p2为81.7%~87.5%,综合判别率为86.0%。【结论】壳高、壳宽、韧带长、韧带宽等性状决定红树蚬和歪红树蚬两个种间的形态差异,判别方程可以有效将上述种群区分开来。

Analysis on the Morphological Difference between Polymesoda erosa and Polymesoda expansa

Objective] To explore the morphological difference between Polymesoda erosa and Polymesoda expansa.Methods] Fourteen morphological properties of the two populations of P.erosa and P.expansa were collected in mangroves at Lianzhou Bay of Guangxi for identifying the morphological difference between the two clams by multivariate morphometrics.Results] ANOVA results revealed that the difference in one morphometric property between the two clams were significant (P<0.05),and differences in other twelve morphometric properties between the two clams were highly significant (P<0.01).Four principal components were identified through principal component analysis (PCA) and their contribution rates were 30.70%,17.76%,10.11% and 7.80% respectively,accounting for 66.37% accumulation contribution rate.Dependent discriminate functions for principal component 1 and 2 were developed through stepwise discriminant analysis, and discriminant accuracy of two species were 81.7%~89.0% and 81.7%~87.5% respectively. The average was 86%.Conclusion] The dominant factors were shell width,shell height,ligament length, ligament width and etc.Our findings provided an effective method for separating P.erosa and P.expansa .