Alberto Jiménez-Valverde

TL;DR: The area under the receiver operating characteristic (ROC) curve, known as the AUC, is currently considered to be the standard method to assess the accuracy of predictive distribution models as discussed by the authors.

TL;DR: This paper explored the conceptual and empirical reasons behind choice of extent of study area in such analyses, and offer practical, but conceptually justified, reasoning for such decisions, and asserted that the area that has been accessible to the species of interest over relevant time periods represents the ideal area for model development, testing, and comparison.

TL;DR: Four threshold criteria are compared for a wide range of sample sizes and prevalences, modeling a virtual species in order to avoid the omnipresent error sources that the use of real species data implies.

TL;DR: This work highlights that, in the case of invasive species, distributional predictions should aim to derive the best hypothesis of the potential distribution of the species by using all distributional information available, including information from both the native range and other invaded regions.

TL;DR: This work discusses three important topics that must be kept in mind when modelling species distributions, namely the distinction between potential and realized distribution, the effect of the relative occurrence area of the species on the results of the evaluation of model performance, and the general inaccuracy of the predictions of the realized distribution provided by species distribution modelling methods.