SimAdapt: an individual-based genetic model for simulating landscape management impacts on populations

Authors

  • François Rebaudo,

    Corresponding author
    1. Biodiversité et évolution des complexes plantes-insectes ravageurs-antagonistes, IRD-BEI-UR072, Gif-sur-Yvette Cedex, France
    2. Laboratoire Évolution Génome et Spéciation, CNRS-LEGS-UPR9034, Gif-sur-Yvette Cedex, France
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  • Arnaud Le Rouzic,

    1. Laboratoire Évolution Génome et Spéciation, CNRS-LEGS-UPR9034, Gif-sur-Yvette Cedex, France
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  • Stéphane Dupas,

    1. Biodiversité et évolution des complexes plantes-insectes ravageurs-antagonistes, IRD-BEI-UR072, Gif-sur-Yvette Cedex, France
    2. Laboratoire Évolution Génome et Spéciation, CNRS-LEGS-UPR9034, Gif-sur-Yvette Cedex, France
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  • Jean-François Silvain,

    1. Biodiversité et évolution des complexes plantes-insectes ravageurs-antagonistes, IRD-BEI-UR072, Gif-sur-Yvette Cedex, France
    2. Laboratoire Évolution Génome et Spéciation, CNRS-LEGS-UPR9034, Gif-sur-Yvette Cedex, France
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  • Myriam Harry,

    1. Laboratoire Évolution Génome et Spéciation, CNRS-LEGS-UPR9034, Gif-sur-Yvette Cedex, France
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  • Olivier Dangles

    1. Biodiversité et évolution des complexes plantes-insectes ravageurs-antagonistes, IRD-BEI-UR072, Gif-sur-Yvette Cedex, France
    2. Laboratoire Évolution Génome et Spéciation, CNRS-LEGS-UPR9034, Gif-sur-Yvette Cedex, France
    3. Facultad de Ciencias Naturales y Biológicas, Pontificia Universidad Católica del Ecuador, Quito, Ecuador
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Summary

  1. Simulation models are essential tools in landscape genetics to study how genetic processes are affected by landscape heterogeneity. However, there is still a need to develop different simulation approaches in landscape genetics, so that users may dispose of additional programs to explore further the impact of land-use and land-cover changes on population genetics.
  2. We developed a spatially explicit, individual-based, forward-time, landscape-genetic simulation model combined with a landscape cellular automaton to represent evolutionary processes of adaptation and population dynamics in changing landscapes, using the NetLogo environment.
  3. This simulation model represents a unique tool for scientists and scholars looking for a practical and pedagogical framework to explore both empirical and theoretical situations.

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