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      <source-app name="Horizon">Horizon</source-app>
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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="normal" font="default" size="100%">Schmitt, S.</style>
          </author>
          <author>
            <style face="normal" font="default" size="100%">Pouteau, R.</style>
          </author>
          <author>
            <style face="normal" font="default" size="100%">Justeau, D.</style>
          </author>
          <author>
            <style face="bold" font="default" size="100%">Boissieu, Florian de</style>
          </author>
          <author>
            <style face="normal" font="default" size="100%">Birnbaum, P.</style>
          </author>
        </authors>
      </contributors>
      <titles>
        <title>SSDM : an R package to predict distribution of species richness and composition based on stacked species distribution models</title>
        <secondary-title>Methods in Ecology and Evolution</secondary-title>
      </titles>
      <pages>1795-1803</pages>
      <keywords>
        <keyword>bioinformatics</keyword>
        <keyword>community ecology</keyword>
        <keyword>conservation</keyword>
        <keyword>habitats</keyword>
        <keyword>modelling</keyword>
        <keyword>software</keyword>
        <keyword>MONDE</keyword>
        <keyword>NOUVELLE CALEDONIE</keyword>
      </keywords>
      <dates>
        <year>2017</year>
      </dates>
      <call-num>fdi:010071870</call-num>
      <language>ENG</language>
      <periodical>
        <full-title>Methods in Ecology and Evolution</full-title>
      </periodical>
      <isbn>2041-210X</isbn>
      <accession-num>ISI:000417239200016</accession-num>
      <number>12</number>
      <electronic-resource-num>10.1111/2041-210x.12841</electronic-resource-num>
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          <url>https://www.documentation.ird.fr/hor/fdi:010071870</url>
        </related-urls>
        <pdf-urls>
          <url>https://www.documentation.ird.fr/intranet/publi/2017/12/010071870.pdf</url>
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      </urls>
      <volume>8</volume>
      <remote-database-provider>Horizon (IRD)</remote-database-provider>
      <abstract>1. There is growing interest among conservationists in biodiversity mapping based on stacked species distribution models (SSDMs), a method that combines multiple individual species distribution models to produce a community-level model. However, no user-friendly interface specifically designed to provide the basic tools needed to fit such models was available until now. 2. The ssdm package is a computer platform implemented in r providing a range of methodological approaches and parameterisation at each step in building the SSDM: e.g. pseudo-absence selection, variable contribution and model accuracy assessment, inter-model consensus forecasting, species assembly design, and calculation of weighted endemism. 3. The object-oriented design of the package is such that: users can modify existing methods, extend the framework by implementing new methods, and share them to be reproduced by others. 4. The package includes a graphical user interface to extend the use of SSDMs to a wide range of conservation scientists and practitioners.</abstract>
      <custom6>082 ; 020</custom6>
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