Literature DB >> 16643300

Size and scaling of predator-prey dynamics.

Joshua S Weitz, Simon A Levin.   

Abstract

We propose a scaled version of the Rosenzweig-MacArthur model using both Type I and Type II functional responses that incorporates the size dependence of interaction rates. Our aim is to link the energetic needs of organisms with the dynamics of interacting populations, for which survival is a result of a game-theoretic struggle for existence. We solve the scaled model of predator-prey dynamics and predict population level characteristics such as the scaling of coexistence size ranges and the optimal predator-prey size ratio. For a broad class of such models, the optimal predator-prey size ratio given available prey of a fixed size is constant. We also demonstrate how scaling predictions of prey density differ under resource limitation vs. predator drawdown. Finally, we show how evolution of predator size can destabilize population dynamics, compare scaling of predator-prey cycles to previous work, as well as discuss possible extensions of the model to multispecies communities.

Mesh:

Year:  2006        PMID: 16643300     DOI: 10.1111/j.1461-0248.2006.00900.x

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


  8 in total

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2.  Dimensionality of consumer search space drives trophic interaction strengths.

Authors:  Samraat Pawar; Anthony I Dell; Van M Savage
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Review 3.  Maternal effects mechanism of population cycling: a formidable competitor to the traditional predator-prey view.

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5.  Examining predator-prey body size, trophic level and body mass across marine and terrestrial mammals.

Authors:  Marlee A Tucker; Tracey L Rogers
Journal:  Proc Biol Sci       Date:  2014-12-22       Impact factor: 5.349

6.  Warming and nitrogen affect size structuring and density dependence in a host-parasitoid food web.

Authors:  Claudio de Sassi; Phillip P A Staniczenko; Jason M Tylianakis
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7.  A method for detecting positive growth autocorrelation without marking individuals.

Authors:  Mollie E Brooks; Michael W McCoy; Benjamin M Bolker
Journal:  PLoS One       Date:  2013-10-28       Impact factor: 3.240

8.  Cryptic population dynamics: rapid evolution masks trophic interactions.

Authors:  Takehito Yoshida; Stephen P Ellner; Laura E Jones; Brendan J M Bohannan; Richard E Lenski; Nelson G Hairston
Journal:  PLoS Biol       Date:  2007-09       Impact factor: 8.029

  8 in total

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