首页 | 本学科首页   官方微博 | 高级检索  
   检索      


virtualspecies,an R package to generate virtual species distributions
Authors:Boris Leroy  Christine N Meynard  Céline Bellard  Franck Courchamp
Institution:1. Ecologie, Systématique and Evolution, UMR CNRS 8079, Univ. Paris‐Sud, Orsay Cedex, France;2. Unité Biologie des Organismes et Ecosystèmes Aquatiques (BOREA, UMR 7208), Muséum national d'Histoire naturelle, Univ. Pierre et Marie Curie, Univ. de Caen Basse‐Normandie, CNRS, IRD, Sorbonne Univ., Paris, France;3. INRA, UMR CBGP (INRA/IRD/Cirad/Montpellier SupAgro), 755 Av. du Campus Agropolis, CS 30016, France;4. Virginia Inst. of Marine Science, College of William and Mary, PO Box 1346, Gloucester Point, USA;5. Centre for Biodiversity and Environment Research, Dept of Genetics, Evolution and Environment, Univ. College London, London, UK;6. Dept of Ecology and Evolutionary Biology and Center for Tropical Research, Inst. of the Environment and Sustainability, Univ. of California Los Angeles, USA
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.
Keywords:
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号