Literature DB >> 19289134

Accelerating invasion rates result from the evolution of density-dependent dispersal.

Justin M J Travis1, Karen Mustin, Tim G Benton, Calvin Dytham.   

Abstract

Evolutionary processes play an important role in shaping the dynamics of range expansions, and selection on dispersal propensity has been demonstrated to accelerate rates of advance. Previous theory has considered only the evolution of unconditional dispersal rates, but dispersal is often more complex. For example, many species emigrate in response to crowding. Here, we use an individual-based model to investigate the evolution of density dependent dispersal into empty habitat, such as during an invasion. The landscape is represented as a lattice and dispersal between populations follows a stepping-stone pattern. Individuals carry three 'genes' that determine their dispersal strategy when experiencing different population densities. For a stationary range we obtain results consistent with previous theoretical studies: few individuals emigrate from patches that are below equilibrium density. However, during the range expansion of a previously stationary population, we observe evolution towards dispersal strategies where considerable emigration occurs well below equilibrium density. This is true even for moderate costs to dispersal, and always results in accelerating rates of range expansion. Importantly, the evolution we observe at an expanding front depends upon fitness integrated over several generations and cannot be predicted by a consideration of lifetime reproductive success alone. We argue that a better understanding of the role of density dependent dispersal, and its evolution, in driving population dynamics is required especially within the context of range expansions.

Mesh:

Year:  2009        PMID: 19289134     DOI: 10.1016/j.jtbi.2009.03.008

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


  31 in total

1.  Risky movement increases the rate of range expansion.

Authors:  K A Bartoń; T Hovestadt; B L Phillips; J M J Travis
Journal:  Proc Biol Sci       Date:  2011-09-28       Impact factor: 5.349

2.  Density-regulated population dynamics and conditional dispersal alter the fate of mutations occurring at the front of an expanding population.

Authors:  T Münkemüller; M J Travis; O J Burton; K Schiffers; K Johst
Journal:  Heredity (Edinb)       Date:  2010-08-18       Impact factor: 3.821

3.  The relevance of conditional dispersal for bacterial colony growth and biodegradation.

Authors:  Thomas Banitz; Karin Johst; Lukas Y Wick; Ingo Fetzer; Hauke Harms; Karin Frank
Journal:  Microb Ecol       Date:  2011-08-09       Impact factor: 4.552

4.  On the evolution of dispersal via heterogeneity in spatial connectivity.

Authors:  Renato Henriques-Silva; Frédéric Boivin; Vincent Calcagno; Mark C Urban; Pedro R Peres-Neto
Journal:  Proc Biol Sci       Date:  2015-03-22       Impact factor: 5.349

5.  Quantifying the reliability of dispersal paths in connectivity networks.

Authors:  Karlo Hock; Peter J Mumby
Journal:  J R Soc Interface       Date:  2015-04-06       Impact factor: 4.118

Review 6.  An empiricist's guide to theoretical predictions on the evolution of dispersal.

Authors:  Anne Duputié; François Massol
Journal:  Interface Focus       Date:  2013-12-06       Impact factor: 3.906

7.  Flight capacity increases then declines from the core to the margins of an invasive species' range.

Authors:  Andrew C Merwin
Journal:  Biol Lett       Date:  2019-11-20       Impact factor: 3.703

8.  Variation within and between closely related species uncovers high intra-specific variability in dispersal.

Authors:  Virginie M Stevens; Sandrine Pavoine; Michel Baguette
Journal:  PLoS One       Date:  2010-06-15       Impact factor: 3.240

9.  Density-dependence across dispersal stages in a hermaphrodite land snail: insights from discrete choice models.

Authors:  Maxime Dahirel; Michalis Vardakis; Armelle Ansart; Luc Madec
Journal:  Oecologia       Date:  2016-05-02       Impact factor: 3.225

10.  Evolution with stochastic fitness and stochastic migration.

Authors:  Sean H Rice; Anthony Papadopoulos
Journal:  PLoS One       Date:  2009-10-09       Impact factor: 3.240

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