THE ANALYSIS OF VEGETATION-ENVIRONMENT RELATIONSHIPS BY CANONICAL CORRESPONDENCE-ANALYSIS
THE ANALYSIS OF VEGETATION-ENVIRONMENT RELATIONSHIPS BY CANONICAL CORRESPONDENCE-ANALYSIS
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DOI：
10.1007/bf00038688
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发表时间：
1987-04-30
期刊：
影响因子：
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通讯作者：
TER BRAAK, CJF
中科院分区：
文献类型：
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作者：
TER BRAAK, CJF
典范对应分析（CCA）是加权平均排序法的多元扩展，是一种简单的物种排序方法，可用于沿着环境变量排序。CCA构建了环境变量的线性组合，沿着这些线性组合，物种的分布被最大程度地分离。CCA产生的特征值测量这种分离。顾名思义，CCA也是一种对应分析技术，但其中排序轴被限制为环境变量的线性组合。由CCA生成的排序图不仅可视化了群落变化的模式（如在标准排序中），而且还可视化了物种沿着环境变量分布的主要特征。应用表明，CCA既可以用于检测物种与环境的关系，并调查有关物种对环境变量的响应的具体问题。群落生态学中的问题，通常被研究的“间接”梯度分析（即排序后的外部解释的轴），现在可以回答更直接的CCA。
Canonical correspondence analysis (CCA) is introduced as a multivariate extension ofweighted averaging ordination, which is a simple method for arranging species along environmental variables. CCA constructs those linear combinations of environmental variables, along which the distributions of the species are maximally separated. The eigenvalues produced by CCA measure this separation.As its name suggests, CCA is also a correspondence analysis technique, but one in which the ordination axes are constrained to be linear combinations of environmental variables. The ordination diagram generated by CCA visualizes not only a pattern of community variation (as in standard ordination) but also the main features of the distributions of species along the environmental variables. Applications demonstrate that CCA can be used both for detecting species-environment relations, and for investigating specific questions about the response of species to environmental variables. Questions in community ecology that have typically been studied by ‘indirect’ gradient analysis (i.e. ordination followed by external interpretation of the axes) can now be answered more directly by CCA.