Literature DB >> 20353439

Why are metabolic scaling exponents so controversial? Quantifying variance and testing hypotheses.

Nick J B Isaac1, Chris Carbone.   

Abstract

The metabolic theory of ecology links physiology with ecology, and successfully predicts many allometric scaling relationships. In recent years, proponents and critics of metabolic theory have debated vigorously about the scaling of metabolic rate. We show that the controversy arose, in part, because researchers examined the mean exponent separately from the variance. We estimate both quantities simultaneously using linear mixed-effects models and data from 1242 animal species. Metabolic rate scaling converges on the predicted value of 3/4 but is highly heterogeneous: 50% of orders lie outside the range 0.68-0.82. These findings are robust to several forms of statistical uncertainty. We then test competing hypotheses about the variation. Metabolic theory is currently unable to explain differences in scaling among orders, but the patterns are not consistent with competing explanations either. We conclude that current theories are inadequate to explain the full range of metabolic scaling patterns observed in nature.

Mesh:

Year:  2010        PMID: 20353439     DOI: 10.1111/j.1461-0248.2010.01461.x

Source DB:  PubMed          Journal:  Ecol Lett        ISSN: 1461-023X            Impact factor:   9.492


  36 in total

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2.  An information-theoretic approach to evaluating the size and temperature dependence of metabolic rate.

Authors:  Craig R White; Peter B Frappell; Steven L Chown
Journal:  Proc Biol Sci       Date:  2012-06-06       Impact factor: 5.349

3.  Effects of positive interactions, size symmetry of competition and abiotic stress on self-thinning in simulated plant populations.

Authors:  Cheng-Jin Chu; Jacob Weiner; Fernando T Maestre; You-Shi Wang; Charles Morris; Sa Xiao; Jian-Li Yuan; Guo-Zhen Du; Gang Wang
Journal:  Ann Bot       Date:  2010-07-19       Impact factor: 4.357

4.  Estimating the biological half-life for radionuclides in homoeothermic vertebrates: a simplified allometric approach.

Authors:  N A Beresford; J Vives i Batlle
Journal:  Radiat Environ Biophys       Date:  2013-07-12       Impact factor: 1.925

5.  Exploring network scaling through variations on optimal channel networks.

Authors:  Lily A Briggs; Mukkai Krishnamoorthy
Journal:  Proc Natl Acad Sci U S A       Date:  2013-11-11       Impact factor: 11.205

6.  Hindlimb muscle architecture in non-human great apes and a comparison of methods for analysing inter-species variation.

Authors:  Julia P Myatt; Robin H Crompton; Susannah K S Thorpe
Journal:  J Anat       Date:  2011-04-20       Impact factor: 2.610

7.  Taxonomic variation in size-density relationships challenges the notion of energy equivalence.

Authors:  Nick J B Isaac; David Storch; Chris Carbone
Journal:  Biol Lett       Date:  2011-03-30       Impact factor: 3.703

8.  Metabolic theory and taxonomic identity predict nutrient recycling in a diverse food web.

Authors:  Jacob Edward Allgeier; Seth J Wenger; Amy D Rosemond; Daniel E Schindler; Craig A Layman
Journal:  Proc Natl Acad Sci U S A       Date:  2015-04-15       Impact factor: 11.205

9.  Embracing general theory and taxon-level idiosyncrasies to explain nutrient recycling.

Authors:  Diego R Barneche; Andrew P Allen
Journal:  Proc Natl Acad Sci U S A       Date:  2015-05-06       Impact factor: 11.205

10.  Physiological diversity, biodiversity patterns and global climate change: testing key hypotheses involving temperature and oxygen.

Authors:  John I Spicer; Simon A Morley; Francisco Bozinovic
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2019-06-17       Impact factor: 6.237

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