Schmitt Sylvain, Pouteau Robin, Justeau-Allaire Dimitri, De Boissien Florian, Birnbaum Philippe, Baumbach Lukas.
2019. SSDM: An R package to predict distribution of species richness and composition based on stacked species distribution model.
In : International Biogeography Society Abstract Book - 2019 Humboldt Meeting. Bonaccorso E. (ed.), Guayasamin J.M. (ed.), Hoorn C. (ed.), Faller K. (ed.), Ortega-Andrade H.M. (ed.)
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Version publiée
- Anglais
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Résumé : 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 communitylevel model. However, no user-friendly interface specifically designed to provide the basic tools needed to fit such models was available until now. 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. 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. The package includes a graphical user interface to extend the use of SSDMs to a wide range of conservation scientists and practitioners.
Auteurs et affiliations
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Schmitt Sylvain, CIRAD-ES-UPR Forêts et sociétés (FRA)
ORCID: 0000-0001-7759-7106
- Pouteau Robin, Taizhou Univeristy (CHN)
- Justeau-Allaire Dimitri
- De Boissien Florian
- Birnbaum Philippe, CIRAD-BIOS-UMR AMAP (FRA)
- Baumbach Lukas, Université de Fribourg (CHE)
Source : Cirad-Agritrop (https://agritrop.cirad.fr/610686/)
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