Shine Richard
School of Biological Sciences A08, The University of Sydney, 2006, NSW, Australia.
Oecologia. 1996 Sep;107(4):484-489. doi: 10.1007/BF00333939.
I recently attempted to investigate interspecific patterns in ecological traits of Australian snakes using univariate statistical techniques (Shine 1994), but high intercorrelations among variables (especially with mean adult body size) made it difficult to interpret the observed patterns. In the present paper, I attempt to tease apart causal factors using multivariate (path) analysis on the same data set (103 species, based on dissection of >22000 museum specimens). Two separate path analyses were conducted: one that treated each species as an independent unit (and thus, ignored phylogeny) and the other based on independent phylogenetic contrasts. Path coefficients from the two types of analyses were similar in magnitude, and highly correlated with each other, suggesting that most interspecific patterns among traits may reflect functional association rather than phylogenetic conservatism. Path analysis showed that indirect effects of one variable upon another (i.e., mediated via other traits) were often stronger than direct effects. Thus, even when two variables appeared to be uncorrelated in the univariate analysis, this apparent lack of relationship sometimes masked strong but conflicting indirect effects. For example, a tradeoff between clutch size and offspring size tends to mask the direct effect of mean adult body size on clutch size. Path analysis may also suggest original causal hypotheses. For example, interspecific allometry of sexual size dimorphism (as seen in Australian snakes, and many other animal groups) may result from a strong effect of another allometrically-tied trait (offspring size) on growth trajectories of females.
我最近尝试使用单变量统计技术研究澳大利亚蛇类生态特征的种间模式(Shine,1994),但变量之间的高相关性(尤其是与成年个体平均体型相关)使得难以解释观察到的模式。在本文中,我尝试使用多元(路径)分析对同一数据集(基于对超过22000个博物馆标本的解剖,涉及103个物种)梳理因果因素。进行了两项独立的路径分析:一项将每个物种视为独立单元(因此忽略了系统发育),另一项基于独立的系统发育对比。两种分析类型的路径系数在大小上相似,且彼此高度相关,这表明性状之间的大多数种间模式可能反映了功能关联而非系统发育保守性。路径分析表明,一个变量对另一个变量的间接影响(即通过其他性状介导)往往比直接影响更强。因此,即使在单变量分析中两个变量似乎不相关,这种明显的缺乏关系有时也会掩盖强烈但相互冲突的间接影响。例如,窝卵数和后代大小之间的权衡往往会掩盖成年个体平均体型对窝卵数的直接影响。路径分析还可能提出原始的因果假设。例如,性大小二态性的种间异速生长(如在澳大利亚蛇类以及许多其他动物群体中所见)可能是由于另一个异速生长相关性状(后代大小)对雌性生长轨迹的强烈影响所致。