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ssdm : An r package to predict distribution of species richness and composition based on stacked species distribution models
Author(s) -
Schmitt Sylvain,
Pouteau Robin,
Justeau Dimitri,
Boissieu Florian,
Birnbaum Philippe
Publication year - 2017
Publication title -
methods in ecology and evolution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.425
H-Index - 105
ISSN - 2041-210X
DOI - 10.1111/2041-210x.12841
Subject(s) - range (aeronautics) , distribution (mathematics) , computer science , r package , species richness , species distribution , interface (matter) , selection (genetic algorithm) , engineering , ecology , mathematics , biology , machine learning , computational science , mathematical analysis , bubble , maximum bubble pressure method , habitat , parallel computing , aerospace engineering
There is growing interest among conservationists in biodiversity mapping based on stacked species distribution models ( SSDM s), 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 SSDM s to a wide range of conservation scientists and practitioners.