Allometric estimation of metabolic rates in animals

White, Craig R. (2011) Allometric estimation of metabolic rates in animals. Comparative Biochemistry and Physiology - Part A: Molecular & Integrative Physiology, 158 3: 346-357. doi:10.1016/j.cbpa.2010.10.004

Author White, Craig R.
Title Allometric estimation of metabolic rates in animals
Journal name Comparative Biochemistry and Physiology - Part A: Molecular & Integrative Physiology   Check publisher's open access policy
ISSN 1095-6433
Publication date 2011-03
Year available 2010
Sub-type Article (original research)
DOI 10.1016/j.cbpa.2010.10.004
Volume 158
Issue 3
Start page 346
End page 357
Total pages 12
Place of publication New York, NY, U.S.A.
Publisher Elsevier
Collection year 2011
Language eng
Formatted abstract
The relationship between body mass (M) and metabolic rate (MR) typically accounts for most (> 90%) of the inter-specific variation in MR. As such, when measurement of a species of interest is not possible, its MR can often be predicted using M. However, choosing an appropriate relationship to make such predictions is critical, and the choice is complicated by ongoing debate about the structure of the relationship between M and MR. The present study examines a range of methods including ordinary least squares (OLS), reduced major axis (RMA), and phylogenetically-informed (PI) approaches for estimating log(MR) from log(M), as well as non-linear approaches for estimating the relationship between MR and M without the need for log-transformation. Using data for the basal metabolic rates of mammals, it is shown that RMA regression overestimates the scaling exponent of MR (b, where MR = aMb), suggesting that OLS regression is appropriate for these data. PI approaches are preferred over non-PI ones, and the best estimates of log(MR) are obtained by including information on body temperature, climate, habitat, island endemism, and use of torpor in addition to log(M). However, the use of log-transformed data introduces bias into estimates of MR, while the use of non-linear regression underestimates MR for small mammals. This suggests that no single relationship is appropriate for describing the relationship between MR and M for all mammals, and that relationships for more narrow taxonomic groups or body mass ranges should be used when predicting MR from M. © 2010.
Keyword Independent contrasts
Ordinary least squares
Reduced major axis
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ
Additional Notes Available online 10 October, 2010.

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2011 Collection
School of Biological Sciences Publications
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Created: Fri, 28 Jan 2011, 18:44:53 EST by Dr Craig White on behalf of School of Biological Sciences