SSDM : An R package to predict distribution of species richness and composition based on stacked species distribution models

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. 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.

Bibliographic Details

Main Authors:	Schmitt, Sylvain, Pouteau, Robin, Justeau-Allaire, Dimitri, De Boissieu, Florian, Birnbaum, Philippe
Format:	article biblioteca
Language:	eng
Subjects:	P01 - Conservation de la nature et ressources foncières, U10 - Informatique, mathématiques et statistiques, F70 - Taxonomie végétale et phytogéographie, distribution des populations, modélisation, biodiversité, bioinformatique, logiciel, écologie animale, phytoécologie, écologie des populations, http://aims.fao.org/aos/agrovoc/c_6113, http://aims.fao.org/aos/agrovoc/c_230ab86c, http://aims.fao.org/aos/agrovoc/c_33949, http://aims.fao.org/aos/agrovoc/c_37958, http://aims.fao.org/aos/agrovoc/c_24008, http://aims.fao.org/aos/agrovoc/c_427, http://aims.fao.org/aos/agrovoc/c_5963, http://aims.fao.org/aos/agrovoc/c_37336,
Online Access:	http://agritrop.cirad.fr/597712/ http://agritrop.cirad.fr/597712/1/597712.pdf
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