In recent years, the use of ecological niche models (ENMs) and species distribution models
(SDMs) to explore the patterns and processes behind observed distribution of species has …

Predictive models are central to many scientific disciplines and vital for informing
management in a rapidly changing world. However, limited understanding of the accuracy …

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 …

In the marine environment Species Distribution Models (SDMs) have been used in hundreds
of papers for predicting the present and future geographic range and environmental niche of …

Species distribution models have been used to predict the distribution of invasive species for
conservation planning. Understanding spatial transferability of niche predictions is critical to …

Seaweed assemblages represent the dominant autotrophic biomass in many coastal
environments, playing a central structural and functional role in several ecosystems. In …

Abstract Machine learning has become popular in ecology but its use has remained
restricted to predicting, rather than understanding, the natural world. Many researchers …

Species distribution models (SDMs) predict the probability of species occurrence based on
their statistical relationships with environmental variables. Many studies have compared …

Spodoptera frugiperda is a serious agricultural pest native to tropical and subtropical areas
of the Americas. It has a broad host suitability range, disperses rapidly, and has now …