Literature DB >> 18717636

Competition-similarity relationships and the nonlinearity of competitive effects in consumer-resource systems.

Peter A Abrams1, Claus Rueffler, Russell Dinnage.   

Abstract

Much previous ecological and evolutionary theory about exploitative competition for a continuous spectrum of resources has used the Lotka-Volterra model with competition coefficients given by a Gaussian function of niche separation. Using explicit consumer-resource models, we show that the Lotka-Volterra model and the assumption of a Gaussian competition-similarity relationship both fail to reflect the impact of strong resource depletion, which typically reduces the influence of the most heavily used resources on the competitive interaction. Taking proper account of resource depletion reveals that strong exploitative competition between efficient consumers is usually a highly nonlinear interaction, implying that a single measure is no longer sufficient to characterize the process. The nonlinearity usually entails weak coupling of competing species when their abundances are high and equal. Rare invaders are likely to have effects on abundant residents much larger than those of the resident on the invader. Asymmetrical utilization curves often produce asymmetrical competition coefficients. Competition coefficients are typically non-Gaussian and are often nonmonotonic functions of niche separation. Utilization curve shape and resource growth functions can have major effects on competition-similarity relationships. A variety of previous theoretical findings need to be reassessed in light of these results.

Mesh:

Year:  2008        PMID: 18717636     DOI: 10.1086/590963

Source DB:  PubMed          Journal:  Am Nat        ISSN: 0003-0147            Impact factor:   3.926


  5 in total

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Journal:  Proc Biol Sci       Date:  2011-06-08       Impact factor: 5.349

2.  Direct competition results from strong competition for limited resource.

Authors:  Sepideh Mirrahimi; Benoît Perthame; Joe Yuichiro Wakano
Journal:  J Math Biol       Date:  2013-02-26       Impact factor: 2.259

3.  Experimentally testing and assessing the predictive power of species assembly rules for tropical canopy ants.

Authors:  Tom M Fayle; Paul Eggleton; Andrea Manica; Kalsum M Yusah; William A Foster
Journal:  Ecol Lett       Date:  2015-01-27       Impact factor: 9.492

4.  Stability criteria for complex microbial communities.

Authors:  Stacey Butler; James P O'Dwyer
Journal:  Nat Commun       Date:  2018-07-30       Impact factor: 14.919

5.  Generalizing clusters of similar species as a signature of coexistence under competition.

Authors:  Rafael D'Andrea; Maria Riolo; Annette M Ostling
Journal:  PLoS Comput Biol       Date:  2019-01-22       Impact factor: 4.475

  5 in total

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