Predictive modelling has been used to analyze species geographic distribution through extrapolation of environmental characteristics of known occurrence areas. Interest in this kind of modelling is derived from the need for rapid and well-grounded answers to the threats faced by species due to habitat loss, exotic species invasion, climate changes, and others. This article provides an overall view of recent advances in modelling and aims to encourage the discussion and application of this method that can help with basic biological knowledge acquisition as well as with public policies aimed at their conservation.
CITATION STYLE
Giannini, T. C., Siqueira, M. F., Acosta, A. L., Barreto, F. C. C., Saraiva, A. M., & Alves-Dos-Santos, I. (2012). Current challenges of species distribution predictive modeling. Rodriguesia. Instituto de Pesquisas Jardim Botanico do Rio de Janeiro. https://doi.org/10.1590/s2175-78602012000300017
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