Alexandre H. Hirzel

TL;DR: In this paper, the authors describe six different statistical approaches to infer correlates of species distributions, for both presence/absence (binary response) and species abundance data (poisson or normally distributed response), while accounting for spatial autocorrelation in model residuals: autocovariate regression; spatial eigenvector mapping; generalised least squares; (conditional and simultaneous) autoregressive models and generalised estimating equations.

TL;DR: In this paper, a multivariate approach to the study of geographic species dis- tribution which does not require absence data is proposed, based on Hutchinson's concept of the ecological niche, which compares the distribution of localities where the focal species was observed to a reference set describing the whole study area.

TL;DR: In this article, the authors compare existing and new presence-only evaluators to usual presence/absence measures and propose a continuous Boyce index, which is a threshold independent evaluator for evaluating generalised linear models.

TL;DR: In this article, the authors compared the performance of ENFA and generalized linear models (GLM) on a set of forest species with similar habitat requirements, but with varying occurrence rates (prevalence) and niche positions (marginality).

TL;DR: A selectively reviewed the literature for habitat suitability studies that directly addressed four common facets of niche theory: niche characteristics, niche interactions, community-wide processes and niche evolution, and a list of pointers to key niche-theory concepts and a wide palette of related HSM studies.