文献类型：期刊文献

中文题名：生态梯度轴(EGA)用于林木生态遗传的研究——PCA方法估算EGAPC_r

英文题名：STUDY ON THE APPLICATION OF ECOLOGICAL GRADIENT AXES(EGA) IN FOREST ECOLOGICAL GENETICS——EGA(PCr) ESTIMATED BY USING PCA METHOD

作者：顾万春[1] 王维胜[1] 李斌[1] 郭文英[1]

第一作者：顾万春

机构：[1]中国林科院林业研究所

年份：1992

卷号：12

期号：4

起止页码：332-340

中文期刊名：生态学报

外文期刊名：Acta Ecologica Sinica

收录：CSTPCD;;Scopus;北大核心:【北大核心1992】；CSCD:【CSCD2011_2012】；

语种：中文

中文关键词：主成分;生态梯度;生态梯度轴;梯度变异;林木;生态遗传;EGAPCr

外文关键词：principal components, ecological gradient, ecological gradiebt axes, gradient variation.

分类号：S718.46;S718.45

摘要：n个群体的p维环境因子主成分分析(PCA),Z=U'X,恢复原始数据线性表达成。依据λ值,取前1—Υ个主成分,1≤Υ≤p,将p维环境因子降维成1元向量,建立前Υ个主成分的生态梯度轴[EGA(PC_r)],估算误差为d_(i)。对白榆全分布区20个群体的样点6维环境因子PCA求算的EGA(PC_r),取r=1,2,3,建立3个生态梯度轴,累计贡献率依次为63.8％,84.3％和96.0％,都能较好的代表环境因子。EGA(PC_r)在揭示群体7个性状的梯度变异中得到验证,并能用于判别种群变异模式。
Principal components (Z=U'X) of p-dimensional environmental factors in few populations were turned into a linear expression of primary data(X = UZ). The estimate error was named dj. EGA(PCr)s were calculated according to principal component analysis (PCA) of 6-dimensional environmental factors among the twenty provenances of American elm.The cumulative contributions of 3 .EGA(PCR)s selected according to eigenvalue were 63.8%, 84.3% and 96.0%, respectively. Most information from environmental factors was contained in these 3 GEA(PCr)S EGA(PCr)method was tested well in investigated population gradient variabiltiy of 7 traits and could be used to identify the model of population gradient variation.