Evolution of dispersal under variable connectivity

Show full item record



Permalink

http://hdl.handle.net/10138/234479

Citation

Karisto , P & Kisdi , E 2017 , ' Evolution of dispersal under variable connectivity ' , Journal of Theoretical Biology , vol. 419 , pp. 52-65 . https://doi.org/10.1016/j.jtbi.2016.11.007

Title: Evolution of dispersal under variable connectivity
Author: Karisto, Petteri; Kisdi, Eva
Contributor organization: Department of Mathematics and Statistics
Date: 2017-04-21
Language: eng
Number of pages: 14
Belongs to series: Journal of Theoretical Biology
ISSN: 0022-5193
DOI: https://doi.org/10.1016/j.jtbi.2016.11.007
URI: http://hdl.handle.net/10138/234479
Abstract: The pattern of connectivity between local populations or between microsites supporting individuals within a population is a poorly understood factor affecting the evolution of dispersal. We modify the well-known Hamilton May model of dispersal evolution to allow for variable connectivity between microsites. For simplicity, we assume that the microsites are either solitary, i.e., weakly connected through costly dispersal, or part of a well-connected cluster of sites with low-cost dispersal within the cluster. We use adaptive dynamics to investigate the evolution of dispersal, obtaining analytic results for monomorphic evolution and numerical results for the co-evolution of two dispersal strategies. A monomorphic population always evolves to a unique singular dispersal strategy, which may be an evolutionarily stable strategy or an evolutionary branching point. Evolutionary branching happens if the contrast between connectivities is sufficiently high and the solitary microsites are common. The dimorphic evolutionary singularity, when it exists, is always evolutionarily and convergence stable. The model exhibits both protected and unprotected dimorphisms of dispersal strategies, but the dimorphic singularity is always protected. Contrasting connectivities can thus maintain dispersal polymorphisms in temporally stable environments.
Subject: Adaptive dynamics
Dispersal polymorphism
Evolutionary branching
Kin competition
Patch connectivity
STRUCTURED METAPOPULATIONS
COMPETITIVE-EXCLUSION
DEPENDENT DISPERSAL
ADAPTIVE DYNAMICS
STABLE HABITATS
POPULATIONS
STRATEGIES
DISTANCE
FITNESS
MODELS
1181 Ecology, evolutionary biology
111 Mathematics
Peer reviewed: Yes
Usage restriction: openAccess
Self-archived version: acceptedVersion


Files in this item

Total number of downloads: Loading...

Files Size Format View
Karisto_Kisdi_2017_JTB_AuthorVersion.pdf 887.4Kb PDF View/Open

This item appears in the following Collection(s)

Show full item record