Literature DB >> 24682331

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

Yen Ting Lin1, Hyejin Kim, Charles R Doering.   

Abstract

The selection of dispersion is a classical problem in ecology and evolutionary biology. Deterministic dynamical models of two competing species differing only in their passive dispersal rates suggest that the lower mobility species has a competitive advantage in inhomogeneous environments, and that dispersion is a neutral characteristic in homogeneous environments. Here we consider models including local population fluctuations due to both individual movements and random birth and death events to investigate the effect of demographic stochasticity on the competition between species with different dispersal rates. In this paper, the first of two, we focus on homogeneous environments where deterministic models predict degenerate dynamics in the sense that there are many (marginally) stable equilibria with the species' coexistence ratio depending only on initial data. When demographic stochasticity is included the situation changes. A novel large carrying capacity ([Formula: see text]) asymptotic analysis, confirmed by direct numerical simulations, shows that a preference for faster dispersers emerges on a precisely defined [Formula: see text] time scale. We conclude that while there is no evolutionarily stable rate for competitors to choose in these models, the selection mechanism quantified here is the essential counterbalance in spatially inhomogeneous models including demographic fluctuations which do display an evolutionarily stable dispersal rate.

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Year:  2014        PMID: 24682331     DOI: 10.1007/s00285-014-0776-9

Source DB:  PubMed          Journal:  J Math Biol        ISSN: 0303-6812            Impact factor:   2.259


  4 in total

1.  Two-patch population models with adaptive dispersal: the effects of varying dispersal speeds.

Authors:  Ross Cressman; Vlastimil Křivan
Journal:  J Math Biol       Date:  2012-06-02       Impact factor: 2.259

2.  Fluctuations and dispersal rates in population dynamics.

Authors:  David A Kessler; Leonard M Sander
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2009-10-06

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

Authors:  Jack N Waddell; Leonard M Sander; Charles R Doering
Journal:  Theor Popul Biol       Date:  2010-03-07       Impact factor: 1.570

4.  Minimizing the population extinction risk by migration.

Authors:  Michael Khasin; Baruch Meerson; Evgeniy Khain; Leonard M Sander
Journal:  Phys Rev Lett       Date:  2012-09-27       Impact factor: 9.161

  4 in total
  5 in total

1.  Scaling methods for accelerating kinetic Monte Carlo simulations of chemical reaction networks.

Authors:  Yen Ting Lin; Song Feng; William S Hlavacek
Journal:  J Chem Phys       Date:  2019-06-28       Impact factor: 3.488

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.  Demographic noise can reverse the direction of deterministic selection.

Authors:  George W A Constable; Tim Rogers; Alan J McKane; Corina E Tarnita
Journal:  Proc Natl Acad Sci U S A       Date:  2016-07-22       Impact factor: 11.205

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.  Slow expanders invade by forming dented fronts in microbial colonies.

Authors:  Hyunseok Lee; Jeff Gore; Kirill S Korolev
Journal:  Proc Natl Acad Sci U S A       Date:  2022-01-04       Impact factor: 12.779

  5 in total

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