Literature DB >> 21945147

The roles of spatial heterogeneity and adaptive movement in stabilizing (or destabilizing) simple metacommunities.

Lasse Ruokolainen1, Peter A Abrams, Kevin S McCann, Brian J Shuter.   

Abstract

Adaptive consumer movement and between-patch heterogeneity have both been suggested to reduce population fluctuations in spatially subdivided systems. These conjectures are explored using models of two-patch consumer-resource systems with fitness dependent consumer movement and cyclic dynamics in at least one of the patches; neither conjecture applies generally to such systems. Under relatively low heterogeneity, highly accurate and rapid adaptive movement most often increases both the between-patch correlation of density and the variation in the total density of both species compared to a similar system having a low rate of random movement. However, such adaptive movement can decrease between-patch correlation and global population variability when (1) the consumer's movement is moderately sensitive to fitness differences and heterogeneity is relatively low, or (2) one of the patches would be stable in isolation, and the stable patch supports a sufficiently large consumer population. In both cases, the dynamics are typically either a stable equilibrium or a simple anti-phase cycle with low variation in total population size. Under adaptive movement, population variability is often lowest for intermediate levels of heterogeneity, but monotonic increases or decreases with increasing spatial heterogeneity are possible, depending on the fitness sensitivity of movement and how the characteristic that differs between patches affects within-patch stability and population size. High rates of random movement can lead to greater stability than adaptive movement when consumers are very efficient.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21945147     DOI: 10.1016/j.jtbi.2011.09.004

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  4 in total

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Authors:  Wei-Ting Lin; Chih-hao Hsieh; Takeshi Miki
Journal:  PLoS One       Date:  2013-02-01       Impact factor: 3.240

  4 in total

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