Analysis of character divergence along environmental gradients and other covariates
Analysis of character divergence along environmental gradients and other covariates
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DOI：
10.1111/j.1558-5646.2007.00063.x
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发表时间：
2007-03-01
期刊：
影响因子：
3.3
通讯作者：
Collyer, Michael L.
中科院分区：
文献类型：
--
作者：
Adams, Dean C.;Collyer, Michael L.
性状移位通常是通过比较同感区和异源区表型差异来确定的。然而，最近，Goldberg和Lande（2006）指出，当表型性状沿环境梯度变化时，标准方法可能无法识别同域特征差异。在这里，我们提出了一种通用的分析程序，用于识别同域特征分歧，同时考虑与环境变量共变的表型变化。我们的方法使用来自广义线性模型的残差随机化，并允许统计比较同域表型分化和异域表型分化，同时考虑沿梯度的表型变异。通过模拟，我们证明了我们的方法正确地识别了共情特征分歧的模式，当它们存在时，不能识别这些模式。我们的分析方法补充并扩展了Goldberg和Lande（2006）的建议，允许对沿环境梯度的特征位移的各种模式进行完整的统计评估，或者同时考虑其他协变量和变化来源。
Character displacement is typically identified by comparing phenotypic differences in sympatry and allopatry. Recently, however, Goldberg and Lande (2006) pointed out that when phenotypic characters vary along an environmental gradient, the standard approach may fail to identify sympatric character divergence. Here we present a general analytical procedure for identifying sympatric character divergence while accounting for phenotypic changes that covary with environmental variables. Our approach uses residual randomization from a generalized linear model, and allows the statistical comparison of sympatric phenotypic divergence to allopatric phenotypic divergence while accounting for phenotypic variation along a gradient. Through simulation we demonstrate that our approach correctly identifies patterns of sympatric character divergence when they are present, and does not identify such patterns when they are not. Our analytical approach complements and extends the suggestions of Goldberg and Lande (2006), by allowing a full statistical assessment of the varied patterns of character displacement along environmental gradients, or while accounting for other covariates and sources of variation.