Testing the metabolic theory of ecology

Charles A. Price*, Joshua S. Weitz, Van M. Savage, James Stegen, Andrew Clarke, David A. Coomes, Peter S. Dodds, Rampal S. Etienne, Andrew J. Kerkhoff, Katherine McCulloh, Karl J. Niklas, Han Olff, Nathan G. Swenson

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

114 Citations (Scopus)
98 Downloads (Pure)

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.

Original languageEnglish
Pages (from-to)1465-1474
Number of pages10
JournalEcology Letters
Volume15
Issue number12
DOIs
Publication statusPublished - Dec-2012

Keywords

  • Allometry
  • fractal
  • kleiber curve
  • metabolic theory
  • metabolism
  • scaling theory
  • WBE model
  • GENERAL QUANTITATIVE THEORY
  • SCALING LAWS
  • ALLOMETRIC COVARIATION
  • TEMPERATURE-DEPENDENCE
  • MATHEMATICALLY CORRECT
  • BIOLOGICALLY RELEVANT
  • FOREST STRUCTURE
  • ENQUISTS MODEL
  • FRACTAL MODEL
  • PLANT-GROWTH

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