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Eco-evolutionary dynamics of dispersal in spatially heterogeneous environments

Evolutionary changes in natural populations are often so fast that the evolutionary dynamics may influence ecological population dynamics and vice versa. Here we construct an eco-evolutionary model for dispersal by combining a stochastic patch occupancy metapopulation model with a model for changes...

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Detalles Bibliográficos
Autores principales: Hanski, Ilkka, Mononen, Tommi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Blackwell Publishing Ltd 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3187866/
https://www.ncbi.nlm.nih.gov/pubmed/21794053
http://dx.doi.org/10.1111/j.1461-0248.2011.01671.x
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author Hanski, Ilkka
Mononen, Tommi
author_facet Hanski, Ilkka
Mononen, Tommi
author_sort Hanski, Ilkka
collection PubMed
description Evolutionary changes in natural populations are often so fast that the evolutionary dynamics may influence ecological population dynamics and vice versa. Here we construct an eco-evolutionary model for dispersal by combining a stochastic patch occupancy metapopulation model with a model for changes in the frequency of fast-dispersing individuals in local populations. We test the model using data on allelic variation in the gene phosphoglucose isomerase (Pgi), which is strongly associated with dispersal rate in the Glanville fritillary butterfly. Population-specific measures of immigration and extinction rates and the frequency of fast-dispersing individuals among the immigrants explained 40% of spatial variation in Pgi allele frequency among 97 local populations. The model clarifies the roles of founder events and gene flow in dispersal evolution and resolves a controversy in the literature about the consequences of habitat loss and fragmentation on the evolution of dispersal.
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spelling pubmed-31878662011-10-12 Eco-evolutionary dynamics of dispersal in spatially heterogeneous environments Hanski, Ilkka Mononen, Tommi Ecol Lett Letters Evolutionary changes in natural populations are often so fast that the evolutionary dynamics may influence ecological population dynamics and vice versa. Here we construct an eco-evolutionary model for dispersal by combining a stochastic patch occupancy metapopulation model with a model for changes in the frequency of fast-dispersing individuals in local populations. We test the model using data on allelic variation in the gene phosphoglucose isomerase (Pgi), which is strongly associated with dispersal rate in the Glanville fritillary butterfly. Population-specific measures of immigration and extinction rates and the frequency of fast-dispersing individuals among the immigrants explained 40% of spatial variation in Pgi allele frequency among 97 local populations. The model clarifies the roles of founder events and gene flow in dispersal evolution and resolves a controversy in the literature about the consequences of habitat loss and fragmentation on the evolution of dispersal. Blackwell Publishing Ltd 2011-10 /pmc/articles/PMC3187866/ /pubmed/21794053 http://dx.doi.org/10.1111/j.1461-0248.2011.01671.x Text en Copyright © 2011 Blackwell Publishing Ltd/CNRS http://creativecommons.org/licenses/by/2.5/ Re-use of this article is permitted in accordance with the Creative Commons Deed, Attribution 2.5, which does not permit commercial exploitation.
spellingShingle Letters
Hanski, Ilkka
Mononen, Tommi
Eco-evolutionary dynamics of dispersal in spatially heterogeneous environments
title Eco-evolutionary dynamics of dispersal in spatially heterogeneous environments
title_full Eco-evolutionary dynamics of dispersal in spatially heterogeneous environments
title_fullStr Eco-evolutionary dynamics of dispersal in spatially heterogeneous environments
title_full_unstemmed Eco-evolutionary dynamics of dispersal in spatially heterogeneous environments
title_short Eco-evolutionary dynamics of dispersal in spatially heterogeneous environments
title_sort eco-evolutionary dynamics of dispersal in spatially heterogeneous environments
topic Letters
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3187866/
https://www.ncbi.nlm.nih.gov/pubmed/21794053
http://dx.doi.org/10.1111/j.1461-0248.2011.01671.x
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