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      <ref-type name="Journal Article">17</ref-type>
      <work-type>ACL : Articles dans des revues avec comité de lecture répertoriées par l'AERES</work-type>
      <contributors>
        <authors>
          <author>
            <style face="bold" font="default" size="100%">Rebaudo, François</style>
          </author>
          <author>
            <style face="normal" font="default" size="100%">Le Rouzic, A.</style>
          </author>
          <author>
            <style face="bold" font="default" size="100%">Dupas, Stéphane</style>
          </author>
          <author>
            <style face="bold" font="default" size="100%">Silvain, Jean-François</style>
          </author>
          <author>
            <style face="normal" font="default" size="100%">Harry, M.</style>
          </author>
          <author>
            <style face="bold" font="default" size="100%">Dangles, Olivier</style>
          </author>
        </authors>
      </contributors>
      <titles>
        <title>SimAdapt : an individual-based genetic model for simulating landscape management impacts on populations</title>
        <secondary-title>Methods in Ecology and Evolution</secondary-title>
      </titles>
      <pages>595-600</pages>
      <keywords>
        <keyword>adaptation</keyword>
        <keyword>ecology</keyword>
        <keyword>forward-time</keyword>
        <keyword>land-use</keyword>
        <keyword>netlogo</keyword>
        <keyword>spatially explicit</keyword>
      </keywords>
      <dates>
        <year>2013</year>
      </dates>
      <call-num>fdi:010060398</call-num>
      <language>ENG</language>
      <periodical>
        <full-title>Methods in Ecology and Evolution</full-title>
      </periodical>
      <isbn>2041-210X</isbn>
      <accession-num>ISI:000320117200012</accession-num>
      <number>6</number>
      <electronic-resource-num>10.1111/2041-210x.12041</electronic-resource-num>
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          <url>https://www.documentation.ird.fr/hor/fdi:010060398</url>
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        <pdf-urls>
          <url>https://www.documentation.ird.fr/intranet/publi/2013/07/010060398.pdf</url>
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      <volume>4</volume>
      <remote-database-provider>Horizon (IRD)</remote-database-provider>
      <abstract>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. 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. 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.</abstract>
      <custom6>082 ; 020</custom6>
      <custom1>UR072</custom1>
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