Is complex allometry in field metabolic rates of mammals a statistical artifact?

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• 作者：Gary C. Packard ; ^{Gary.Packard@colostate.edu}
• 关键词：Allometry ; Field metabolic rates ; Logarithms ; Mammals ; Nonlinear regression ; Scaling
• 刊名：Comparative Biochemistry and Physiology Part A: Molecular & Integrative Physiology
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：203
• 期：Complete
• 页码：322-327
• 全文大小：468 K
• 卷排序：203

文摘

Recent reports indicate that field metabolic rates (FMRs) of mammals conform to a pattern of complex allometry in which the exponent in a simple, two-parameter power equation increases steadily as a dependent function of body mass. The reports were based, however, on indirect analyses performed on logarithmic transformations of the original data. I re-examined values for FMR and body mass for 114 species of mammal by the conventional approach to allometric analysis (to illustrate why the approach is unreliable) and by linear and nonlinear regression on untransformed variables (to illustrate the power and versatility of newer analytical methods). The best of the regression models fitted directly to untransformed observations is a three-parameter power equation with multiplicative, lognormal, heteroscedastic error and an allometric exponent of 0.82. The mean function is a good fit to data in graphical display. The significant intercept in the model may simply have gone undetected in prior analyses because conventional allometry assumes implicitly that the intercept is zero; or the intercept may be a spurious finding resulting from bias introduced by the haphazard sampling that underlies “exploratory” analyses like the one reported here. The aforementioned issues can be resolved only by gathering new data specifically intended to address the question of scaling of FMR with body mass in mammals. However, there is no support for the concept of complex allometry in the relationship between FMR and body size in mammals.