Quantitative evaluations to optimize complexity have become standard for avoiding
overfitting of ecological niche models (ENMs) that estimate species' potential geographic …

Ecological data often show temporal, spatial, hierarchical (random effects), or phylogenetic
structure. Modern statistical approaches are increasingly accounting for such dependencies …

Species distribution modeling (SDM) is widely used in ecology and conservation. Currently,
the most available data for SDM are species presence‐only records (available through …

Invertebrates constitute the majority of animal species and are critical for ecosystem
functioning and services. Nonetheless, global invertebrate biodiversity patterns and their …

Chilgoza pine is an economically and ecologically important evergreen coniferous tree
species of the dry and rocky temperate zone, and a native of south Asia. This species is …

This software note announces a new open‐source release of the Maxent software for
modeling species distributions from occurrence records and environmental data, and …

When applied to structured data, conventional random cross-validation techniques can lead
to underestimation of prediction error, and may result in inappropriate model selection. We …

SDMtoolbox 2.0 is a software package for spatial studies of ecology, evolution, and genetics.
The release of SDMtoolbox 2.0 allows researchers to use the most current ArcGIS software …

Aim Species distribution modelling, a family of statistical methods that predicts species
distributions from a set of occurrences and environmental predictors, is now routinely …

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