The random forest (RF) algorithm is an ensemble of classification or regression trees and is
widely used, including for species distribution modelling (SDM). Many researchers use …

Paeonia (Paeoniaceae), an economically important plant genus, includes many popular
ornamentals and medicinal plant species used in traditional Chinese medicine. Little is …

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 …

This study aimed to develop a novel framework for risk assessment of nitrate groundwater
contamination by integrating chemical and statistical analysis for an arid region. A standard …

Species distribution models (SDM s) are used to inform a range of ecological,
biogeographical and conservation applications. However, users often underestimate the …

Species distribution models (SDMs) are widely used to predict the occurrence of species.
Because SDMs generally use presence‐only data, validation of the predicted distribution …

Abstract Information on where species occur is an important component of conservation and
management decisions, but knowledge of distributions is often coarse or incomplete …

Statistical and now machine learning prediction methods have been gaining popularity in
the field of landslide susceptibility modeling. Particularly, these data driven approaches …

Recent shifts in the geographic distribution of marine species have been linked to shifts in
preferred thermal habitats. These shifts in distribution have already posed challenges for …

Presence‐only data present challenges for selecting thresholds to transform species
distribution modeling results into binary outputs. In this article, we compare two recently …