@article {6690,
	title = {Detecting outliers in species distribution data: Some caveats and clarifications on a virtual species study},
	journal = {Journal of Biogeography},
	volume = {46},
	year = {2019},
	month = {Feb-09-2019},
	pages = {2141 - 2144},
	issn = {0305-0270},
	doi = {10.1111/jbi.13626},
	url = {https://onlinelibrary.wiley.com/doi/full/10.1111/jbi.13626},
	author = {Meynard, Christine N. and Kaplan, David M. and Leroy, Boris},
	editor = {Pearman, Peter B.}
}
@article {6692,
	title = {Testing methods in species distribution modelling using virtual species: what have we learnt and what are we missing?},
	journal = {Ecography},
	volume = {42},
	year = {2019},
	month = {May-12-2020},
	pages = {2021 - 2036},
	issn = {0906-7590},
	doi = {10.1111/ecog.04385},
	url = {https://onlinelibrary.wiley.com/doi/10.1111/ecog.04385},
	author = {Meynard, Christine N. and Leroy, Boris and Kaplan, David M.}
}
@article {6686,
	title = {Without quality presence-absence data, discrimination metrics such as TSS can be misleading measures of model performance},
	journal = {Journal of Biogeography},
	volume = {45},
	year = {2018},
	month = {Jan-09-2018},
	pages = {1994 - 2002},
	doi = {10.1111/jbi.2018.45.issue-910.1111/jbi.13402},
	url = {http://doi.wiley.com/10.1111/jbi.2018.45.issue-9http://doi.wiley.com/10.1111/jbi.13402http://onlinelibrary.wiley.com/wol1/doi/10.1111/jbi.13402/fullpdfhttps://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111\%2Fjbi.13402},
	author = {Leroy, Boris and Delsol, Robin and Hugueny, Bernard and Meynard, Christine N. and Barhoumi, Ch{\'e}{\"\i}ma and Barbet-Massin, Morgane and Bellard, C{\'e}line}
}
@article {3829,
	title = {virtualspecies, an R package to generate virtual species distributions},
	journal = {Ecography},
	volume = {39},
	year = {2016},
	pages = {599-607},
	abstract = {virtualspecies is a freely available package for R designed to generate virtual species distributions, a procedure increasingly used in ecology to improve species distribution models. This package combines the existing methodological approaches with the objective of generating virtual species distributions with increased ecological realism. The package includes (1) generating the probability of occurrence of a virtual species from a spatial set of environmental conditions (i.e., environmental suitability), with two different approaches; (2) converting the environmental suitability into presence-absence with a probabilistic approach; (3) introducing dispersal limitations in the realised virtual species distributions and (4) sampling occurrences with different biases in the sampling procedure. The package was designed to be extremely flexible, to allow users to simulate their own defined species-environment relationships, as well as to provide a fine control over every simulation parameter. The package also includes a function to generate random virtual species distributions. We provide a simple example in this paper showing how increasing ecological realism of the virtual species impacts the predictive performance of species distribution models. We expect that this new package will be valuable to researchers willing to test techniques and protocols of species distribution models as well as various biogeographical hypotheses.},
	doi = {10.1111/ecog.01388},
	url = {https://onlinelibrary.wiley.com/doi/full/10.1111/ecog.01388},
	author = {Leroy, Boris and Meynard, Christine N. and Bellard, C{\'e}line and Courchamp, Franck}
}
