Reporting specific modelling methods and metadata is essential to the reproducibility of
ecological studies, yet guidelines rarely exist regarding what information should be noted …

Understanding and forecasting species' geographic distributions in the face of global
change is a central priority in biodiversity science. The existing view is that one must choose …

The increasing use of species distribution modeling (SDM) has raised new concerns
regarding the inaccuracies, misunderstanding, and misuses of this important tool. One of …

A large array of species distribution model (SDM) approaches has been developed for
explaining and predicting the occurrences of individual species or species assemblages …

Maximum entropy modeling (Maxent) is a widely used algorithm for predicting species
distributions across space and time. Properly assessing the uncertainty in such predictions …

There is no consensus on when biotic interactions impact the range limits of species.
Starting from MacArthur's use of invasibility to understand how biotic interactions influence …

Predictions from species distribution models (SDMs) are commonly used in support of
environmental decision-making to explore potential impacts of climate change on …

There is an urgent need to understand species and community responses to climatic and
ecological changes to predict biodiversity patterns given anticipated global change. The …

Macroecologists and biogeographers continue to predict the distribution of species across
space based on the relationship between biotic processes and environmental variables …

Species distribution models (SDMs) are basic tools in ecology, biogeography, and
biodiversity. The usefulness of SDMs has expanded beyond the realm of ecological …