Reviews and Synthesis
Testing the metabolic theory of ecology
Article first published online: 30 AUG 2012
DOI: 10.1111/j.1461-0248.2012.01860.x
© 2012 Blackwell Publishing Ltd/CNRS
Additional Information
How to Cite
Ecology Letters (2012)
Publication History
- Issue published online: 15 OCT 2012
- Article first published online: 30 AUG 2012
- Manuscript Accepted: 1 AUG 2012
- Manuscript Revised: 30 APR 2012
- Manuscript Received: 28 MAR 2012
Funded by
- Australian Research Council (ARC)
- Burroughs Wellcome Fund
- NSF DEB. Grant Number: 1021010
- NSF Postdoctoral Fellowship in Biological Informatics. Grant Number: DBI-0906005
- Netherlands Organization for Scientific Research (NWO). Grant Number: DMS-0827208
- National Science Foundation. Grant Number: IBN 09-19871
Keywords:
- Allometry;
- fractal;
- kleiber curve;
- metabolic theory;
- metabolism;
- scaling theory;
- WBE model
Abstract
The metabolic theory of ecology (MTE) predicts the effects of body size and temperature on metabolism through considerations of vascular distribution networks and biochemical kinetics. MTE has also been extended to characterise processes from cellular to global levels. MTE has generated both enthusiasm and controversy across a broad range of research areas. However, most efforts that claim to validate or invalidate MTE have focused on testing predictions. We argue that critical evaluation of MTE also requires strong tests of both its theoretical foundations and simplifying assumptions. To this end, we synthesise available information and find that MTE's original derivations require additional assumptions to obtain the full scope of attendant predictions. Moreover, although some of MTE's simplifying assumptions are well supported by data, others are inconsistent with empirical tests and even more remain untested. Further, although many predictions are empirically supported on average, work remains to explain the often large variability in data. We suggest that greater effort be focused on evaluating MTE's underlying theory and simplifying assumptions to help delineate the scope of MTE, generate new theory and shed light on fundamental aspects of biological form and function.

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