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 …

Agricultural expansion to meet humanity's growing needs for food and materials is a leading
driver of land-use change, exacerbating climate change and biodiversity loss. Seaweed …

Freshwater ecosystems are sensitive to disturbances related to human activities, such as
climate and land-use changes. To predict and understand the potential impacts of these …

Species distribution models (SDMs) are practical tools to assess the habitat suitability of
species with numerous applications in environmental management and conservation …

Livestock rearing is a major source of livelihood for food and income in dryland Asia.
Increasing livestock density (LSKD) affects ecosystem structure and function, amplifies the …

Aim To assess whether flexible species distribution models that perform well at nearby
testing locations still perform strongly when evaluated on spatially separated testing data …

Species distribution models, also known as ecological niche models or habitat suitability
models, have become commonplace for addressing fundamental and applied biodiversity …

Species distribution modelling (SDM) is an important tool to examine the possible change in
the population range and/or niche-shift under current environment and predicted climate …

Highlights•Insect ecological projections have grown, increasingly incorporating best
practices.•Correlative studies continue to dominate, complicating interpretability•Projections …

Citizen science and spatial ecology analyses can inform species distributions, habitat
preferences, and threats in elusive and endangered species such as seahorses. Through a …