title: Testing the metabolic theory of ecology: allometric scaling exponents in mammals.
abstract: Many fundamental traits of species measured at different levels of biological organization appear to scale as a power law to body mass (M) with exponents that are multiples of 1/4. Recent work has united these relationships in a "metabolic theory of ecology" (MTE) that explains the pervasiveness of quarter-power scaling by its dependence on basal metabolic rate (B), which scales as M(0.75). Central to the MTE is theory linking the observed -0.25 scaling of maximum population growth rate (rm) and body mass to the 0.75 scaling of metabolic rate and body mass via relationships with age at first reproduction (alpha) derived from a general growth model and demographic theory. We used this theory to derive two further predictions: that age at first reproduction should scale inversely to mass-corrected basal metabolic rate alpha infinity (B/M)(-l) such that rm infinity (B/M)1. We then used phylogenetic generalized least squares and model selection methods to test the predicted scaling relationships using data from 1197 mammalian species. There was a strong phylogenetic signal in these data, highlighting the need to account for phylogeny in allometric studies. The 95% confidence intervals included, or almost included, the scaling exponent predicted by MTE for B infinity M(0.75), rm infinity M(-0.25), and rm infinity alpha(-1), but not for alpha infinity M(0.25) or the two predictions that we generated. Our results highlight a mismatch between theory and observation and imply that the observed -0.25 scaling of maximum population growth rate and body mass does not arise via the mechanism proposed in the MTE.
authors.affiliation: Bio-Protection and Ecology Division, P.O. Box 84, Lincoln University, Lincoln 7647, New Zealand. duncanr@lincoln.ac.nz
authors.forename: Richard P
authors.initials: RP
authors.lastname: Duncan
authors.forename: David M
authors.initials: DM
authors.lastname: Forsyth
authors.forename: Jim
authors.initials: J
authors.lastname: Hone
mesh_terms: D000367:Age Factors; D000818:Animals; D001481:Basal Metabolism / Q000502:physiology*; D001699:Biometry; D049628:Body Size / Q000502:physiology*; D004463:Ecology; D008322:Mammals / Q000502:physiology*; D008954:Models, Biological; D011158:Population Growth