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Classical metapopulation dynamics and eco-evolutionary feedbacks in dendritic networks


Fronhofer, Emanuel A; Altermatt, Florian (2017). Classical metapopulation dynamics and eco-evolutionary feedbacks in dendritic networks. Ecography, 40(12):1455-1466.

Abstract

Eco-evolutionary dynamics are now recognized to be highly relevant for population and community dy- namics. However, the impact of evolutionary dynamics on spatial patterns, such as the occurrence of clas- sical metapopulation dynamics, is less well appreciated. Here, we analyse the evolutionary consequences of spatial network connectivity and topology for dispersal strategies and quantify the eco-evolutionary feedback in terms of altered classical metapopulation dynamics. We find that network properties, such as topology and connectivity, lead to predictable spatio-temporal correlations in fitness expectations. These spatio-temporally stable fitness patterns heavily impact evolutionarily stable dispersal strategies and lead to eco-evolutionary feedbacks on landscape level metrics, such as the number of occupied patches, the number of extinctions and recolonizations as well as metapopulation extinction risk and genetic struc- ture. Our model predicts that classical metapopulation dynamics are more likely to occur in dendritic networks, and especially in riverine systems, compared to other types of landscape configurations. As it remains debated whether classical metapopulation dynamics are likely to occur in nature at all, our work provides an important conceptual advance for understanding the occurrence of classical metapopulation dynamics which has implications for conservation and management of spatially structured populations.

Abstract

Eco-evolutionary dynamics are now recognized to be highly relevant for population and community dy- namics. However, the impact of evolutionary dynamics on spatial patterns, such as the occurrence of clas- sical metapopulation dynamics, is less well appreciated. Here, we analyse the evolutionary consequences of spatial network connectivity and topology for dispersal strategies and quantify the eco-evolutionary feedback in terms of altered classical metapopulation dynamics. We find that network properties, such as topology and connectivity, lead to predictable spatio-temporal correlations in fitness expectations. These spatio-temporally stable fitness patterns heavily impact evolutionarily stable dispersal strategies and lead to eco-evolutionary feedbacks on landscape level metrics, such as the number of occupied patches, the number of extinctions and recolonizations as well as metapopulation extinction risk and genetic struc- ture. Our model predicts that classical metapopulation dynamics are more likely to occur in dendritic networks, and especially in riverine systems, compared to other types of landscape configurations. As it remains debated whether classical metapopulation dynamics are likely to occur in nature at all, our work provides an important conceptual advance for understanding the occurrence of classical metapopulation dynamics which has implications for conservation and management of spatially structured populations.

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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Evolutionary Biology and Environmental Studies
Dewey Decimal Classification:570 Life sciences; biology
590 Animals (Zoology)
Uncontrolled Keywords:classicalmetapopulations,Levinsmetapopulations,network,dispersal,river,eco-evolutionary dynamics
Language:English
Date:December 2017
Deposited On:05 Jan 2018 20:29
Last Modified:18 Apr 2018 11:49
Publisher:Wiley-Blackwell Publishing, Inc.
ISSN:0906-7590
Funders:EAF and FA thank Eawag and the Swiss National Science Foundation (grant no. PP00P3_150698 to FA) for funding.
OA Status:Green
Publisher DOI:https://doi.org/10.1111/ecog.02761
Project Information:
  • : FunderSNSF
  • : Grant ID
  • : Project TitleEAF and FA thank Eawag and the Swiss National Science Foundation (grant no. PP00P3_150698 to FA) for funding.

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