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Joint evolution of dispersal and connectivity.
Petteri Karisto1,2, Éva Kisdi1
1Department of Mathematics and Statistics, University of Helsinki, PO Box 68, FIN-00014, Helsinki, Finland.
Evolution; International Journal of Organic Evolution
|October 23, 2019
Summary
Populations in fragmented habitats evolve diverse dispersal strategies, favoring distinct connectivity patterns over dispersal rates. Solitary habitats are crucial for maintaining global dispersal and overall population connectivity.
Area of Science:
- Ecology
- Evolutionary Biology
- Population Dynamics
Background:
- Functional connectivity is vital for population persistence in fragmented landscapes.
- Evolutionary studies often focus on dispersal propensity, neglecting traits influencing disperser distribution.
- Understanding how evolution shapes functional connectivity is crucial for conservation.
Purpose of the Study:
- To model how evolution shapes functional connectivity in heterogeneous landscapes.
- To investigate the role of site clustering and isolation on dispersal evolution.
- To identify key traits under selection that influence population connectivity.
Main Methods:
- A simple mathematical model was developed to simulate population dynamics and evolution.
- The model incorporated heterogeneous landscapes with clustered and solitary sites.
- Evolutionary stable strategies were analyzed under varying structural connectivity.
Main Results:
- Evolutionarily stable populations showed strains differentiated by connectivity patterns (local vs. global dispersal).
- Selection favored diversification in dispersal patterns, not necessarily dispersal rates.
- Solitary, isolated sites were found to be critical for maintaining global dispersal.
Conclusions:
- Evolution drives diversification in dispersal strategies, emphasizing connectivity patterns.
- Habitat heterogeneity, particularly solitary sites, plays a key role in maintaining functional connectivity.
- Conservation strategies should consider the role of seemingly isolated habitats in supporting metapopulation dynamics.
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