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

Aim The idea of combining predictions from different models into an ensemble has gained
considerable popularity in species distribution modelling, partly due to free and …

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 …

Species distribution models (SDMs) constitute the most common class of models across
ecology, evolution and conservation. The advent of ready‐to‐use software packages and …

The use of correlative ecological niche models has highly increased in the last decade.
Despite all literature and textbooks in this field, few practical guidelines exist on the correct …

Marine phytoplankton and zooplankton form the basis of the ocean's food-web, yet the
impacts of climate change on their biodiversity are poorly understood. Here, we use an …

Habitat‐selection analyses allow researchers to link animals to their environment via habitat‐
selection or step‐selection functions, and are commonly used to address questions related …

Ecological niche models (ENMs) are widely used statistical methods to estimate various
types of species niches. After lecturing several editions of introductory courses on ENMs 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 …

Predictive performance is important to many applications of species distribution models
(SDMs). The SDM 'ensemble'approach, which combines predictions across different …