论文信息 - SDMvspecies: a software for creating virtual species for species distribution modelling

SDMvspecies: a software for creating virtual species for species distribution modelling

The following is a report on software developed to create virtual species for the study of species distribution modelling (SDM). SDMvspecies provides several methods to create virtual species. The package is designed to be simple and intuitive, even for users who are not familiar with the R language. SDMvspecies is available online free of charge from .

[1] J. Lobo,et al. Threshold criteria for conversion of probability of species presence to either–or presence–absence , 2007 .

[2] A. Peterson. Ecological niche conservatism: a time‐structured review of evidence , 2011 .

[3] J. Lobo,et al. Exploring the effects of quantity and location of pseudo-absences and sampling biases on the performance of distribution models with limited point occurrence data , 2011 .

[4] A. Peterson,et al. The crucial role of the accessible area in ecological niche modeling and species distribution modeling , 2011 .

[5] C. Meynard,et al. Using virtual species to study species distributions and model performance , 2013 .

[6] F. Jiguet,et al. Selecting pseudo‐absences for species distribution models: how, where and how many? , 2012 .

[7] A. Hirzel,et al. Assessing habitat-suitability models with a virtual species , 2001 .

[8] Robert P. Anderson,et al. Environmental filters reduce the effects of sampling bias and improve predictions of ecological niche models , 2014 .

[9] Q. Guo,et al. How to assess the prediction accuracy of species presence–absence models without absence data? , 2013 .

[10] J. L. Parra,et al. Very high resolution interpolated climate surfaces for global land areas , 2005 .