SSDM: An R package to predict distribution of species richness and composition based on stacked species distribution model
Schmitt S., Pouteau R., Justeau-Allaire D., De Boissien F., Birnbaum P., Baumbach L.. 2019. In : Bonaccorso E. (ed.), Guayasamin J.M. (ed.), Hoorn C. (ed.), Faller K. (ed.), Ortega-Andrade H.M. (ed.). International Biogeography Society Abstract Book - 2019 Humboldt Meeting. Quito : IBS, p. 131. Congreso latinoamericano de biogeografia. 2, 2019-08-05/2019-08-09, Quito (Equateur).
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.
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Agents Cirad, auteurs de cette publication :
- Birnbaum Philippe — Bios / UMR AMAP
- Justeau-Allaire Dimitri — Bios / UMR AMAP
- Schmitt Sylvain — Es / UPR Forêts et Sociétés