Lovegrove Barry G
School of Biological and Conservation Sciences, University of KwaZulu-Natal, Private Bag X01, Scottsville 3209, South Africa.
Physiol Biochem Zool. 2004 Nov-Dec;77(6):916-28. doi: 10.1086/425189.
The locomotor performance (absolute maximum running speed [MRS]) of 120 mammals was analyzed for four different locomotor modes (plantigrade, digitigrade, unguligrade, and lagomorph-like) in terms of body size and basal metabolic rate (BMR). Analyses of conventional species data showed that the MRS of plantigrade and digitigrade mammals and lagomorphs increases with body mass, whereas that of unguligrade mammals decreases with body mass. These trends were confirmed in plantigrade mammals and lagomorphs using phylogenetically independent contrasts. Multiple regression analyses of MRS contrasts (dependent variable) as a function of body mass and BMR contrasts (predictor variables) revealed that BMR was a significant predictor of MRS in the complete data set, as well as in plantigrade and nonplantigrade mammals. However, there was severe multicollinearity in the nonplantigrade model that may influence the interpretation of these models. Although these data show mass-independent correlation between BMR and MRS, they are not necessarily indicative of a cause-effect relationship. However, the analyses do identify a negligible role of body size associated with MRS once phylogenetic and BMR effects are controlled, suggesting that the body size increase in large mammals over time (i.e., Cope's rule) can probably rule out MRS as a driving variable.
针对120种哺乳动物,从体型和基础代谢率(BMR)方面,对四种不同的运动模式(跖行、趾行、蹄行和兔形类)的运动表现(绝对最大奔跑速度[MRS])进行了分析。对传统物种数据的分析表明,跖行和趾行哺乳动物以及兔形类的MRS随体重增加而增加,而蹄行哺乳动物的MRS随体重增加而降低。使用系统发育独立对比法在跖行哺乳动物和兔形类中证实了这些趋势。将MRS对比(因变量)作为体重和BMR对比(预测变量)的函数进行多元回归分析发现,在完整数据集中以及在跖行和非跖行哺乳动物中,BMR都是MRS的显著预测因子。然而,非跖行模型中存在严重的多重共线性,这可能会影响对这些模型的解释。尽管这些数据显示了BMR与MRS之间与体重无关的相关性,但它们不一定表明存在因果关系。然而,这些分析确实表明,一旦控制了系统发育和BMR效应,与MRS相关的体型作用可忽略不计,这表明大型哺乳动物随时间推移的体型增大(即柯普法则)可能排除了MRS作为驱动变量的可能性。