%0 Journal Article
%9 ACL : Articles dans des revues avec comité de lecture répertoriées par l'AERES
%A Schmitt, S.
%A Pouteau, R.
%A Justeau, D.
%A Boissieu, Florian de
%A Birnbaum, P.
%T SSDM : an R package to predict distribution of species richness and composition based on stacked species distribution models
%D 2017
%L fdi:010071870
%G ENG
%J Methods in Ecology and Evolution
%@ 2041-210X
%K bioinformatics ; community ecology ; conservation ; habitats ; modelling ; software
%K MONDE ; NOUVELLE CALEDONIE
%M ISI:000417239200016
%N 12
%P 1795-1803
%R 10.1111/2041-210x.12841
%U https://www.documentation.ird.fr/hor/fdi:010071870
%> https://www.documentation.ird.fr/intranet/publi/2017/12/010071870.pdf
%V 8
%W Horizon (IRD)
%X 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.
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