Literature DB >> 20214914

Demographic stochasticity versus spatial variation in the competition between fast and slow dispersers.

Jack N Waddell1, Leonard M Sander, Charles R Doering.   

Abstract

Dispersal is an important strategy that allows organisms to locate and exploit favorable habitats. The question arises: given competition in a spatially heterogeneous landscape, what is the optimal rate of dispersal? Continuous population models predict that a species with a lower dispersal rate always drives a competing species to extinction in the presence of spatial variation of resources. However, the introduction of intrinsic demographic stochasticity can reverse this conclusion. We present a simple model in which competition between the exploitation of resources and stochastic fluctuations leads to victory by either the faster or slower of two species depending on the environmental parameters. A simplified limiting case of the model, analyzed by closing the moment and correlation hierarchy, quantitatively predicts which species will win in the complete model under given parameters of spatial variation and average carrying capacity. 2010 Elsevier Inc. All rights reserved.

Mesh:

Year:  2010        PMID: 20214914     DOI: 10.1016/j.tpb.2010.03.001

Source DB:  PubMed          Journal:  Theor Popul Biol        ISSN: 0040-5809            Impact factor:   1.570


  5 in total

1.  Demographic stochasticity and evolution of dispersion I. Spatially homogeneous environments.

Authors:  Yen Ting Lin; Hyejin Kim; Charles R Doering
Journal:  J Math Biol       Date:  2014-03-29       Impact factor: 2.259

2.  Demographic stochasticity and evolution of dispersion II: spatially inhomogeneous environments.

Authors:  Yen Ting Lin; Hyejin Kim; Charles R Doering
Journal:  J Math Biol       Date:  2014-03-27       Impact factor: 2.259

3.  Diffusion-driven enhancement of the antibiotic resistance selection window.

Authors:  Ayari Fuentes-Hernández; Anastasia Hernández-Koutoucheva; Alán F Muñoz; Raúl Domínguez Palestino; Rafael Peña-Miller
Journal:  J R Soc Interface       Date:  2019-09-11       Impact factor: 4.118

4.  Tuning Spatial Profiles of Selection Pressure to Modulate the Evolution of Drug Resistance.

Authors:  Maxwell G De Jong; Kevin B Wood
Journal:  Phys Rev Lett       Date:  2018-06-08       Impact factor: 9.161

5.  Habitat heterogeneities versus spatial type frequency variances as driving forces of dispersal evolution.

Authors:  Sebastian Novak
Journal:  Ecol Evol       Date:  2014-11-27       Impact factor: 2.912

  5 in total

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