生态梯度轴(EGA)用于林木生态遗传的研究——CA方法估算EGA(CA1)和EGA(r2)
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STUDY ON THE APPLICATION OF ECOLOGICAL GRADIENT AXES(EGA) IN FOREST ECOLOGICAL GENETICS-USING CA METHOD TO ESTIMATE EGA1) and EGA(r2)
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    摘要:

    应用典型相关的原理和技术,将多元地理坐标和生态因子降维成1元,研究提出2个生态梯度轴(EGA);EGA(CA1)和EGA(r2)。通过白榆20个种源的2个EGA估算,它们与6个环境因子平均相关系数为0.8551和0.8804,复相关系数0.9998和0.9985,很好地综合了诸环境因子在对群体7个性状分析结果,EGA能很好描述梯度变异,证明了白榆种群属于连续变异模式。

    Abstract:

    The multivarible geographic coordinates and ecological factors were reduced to a single element by using the principle and technology of canonical correlation. Two ecological gradient axes (EGA) were suggested: EGA(CA) and EGA(r2). These two EGA were calculated among twenty provenances of American elm. The average correlation coefficients between the two EGA and six environmental factors were 0.8551 and 0.8604.The multiple correlation coefficients were 0.9998 and 0.9985,respectively All environmental factor...

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顾万春,王维胜,李斌,郭文英.生态梯度轴(EGA)用于林木生态遗传的研究——CA方法估算EGA(CA1)和EGA(r2).生态学报,1993,13(2):148~156

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