Maximum entropy (Maxent) modeling has great potential for identifying distributions and
habitat selection of wildlife given its reliance on only presence locations. Recent studies …

Reporting specific modelling methods and metadata is essential to the reproducibility of
ecological studies, yet guidelines rarely exist regarding what information should be noted …

MaxEnt is a program for modelling species distributions from presence‐only species
records. This paper is written for ecologists and describes the MaxEnt model from a …

Recent studies have demonstrated a need for increased rigour in building and evaluating
ecological niche models (ENM s) based on presence‐only occurrence data. Two major …

Spatial thinning of species occurrence records can help address problems associated with
spatial sampling biases. Ideally, thinning removes the fewest records necessary to …

This book provides a first synthetic view of an emerging area of ecology and biogeography,
linking individual-and population-level processes to geographic distributions and …

Aim Models of species niches and distributions have become invaluable to biogeographers
over the past decade, yet several outstanding methodological issues remain. Here we …

This study employs spatial filtering of occurrence data with the aim of reducing overfitting to
sampling bias in ecological niche models (ENMs). Sampling bias in geographic space leads …

Using known occurrences of species and correlational modeling approaches has become a
common paradigm in broad-scale ecology and biogeography, yet important aspects of the …

Aim Species distribution models have been widely used to tackle ecological, evolutionary
and conservation problems. Most species distribution modelling techniques produce …