Species distribution models (SDMs) are numerical tools that combine observations of
species occurrence or abundance with environmental estimates. They are used to gain …

Efforts to anticipate threats to biodiversity take the form of species richness predictions
(SRPs) based on simple correlations with current climate and habitat area. We review the …

Occupancy Estimation and Modeling: Inferring Patterns and Dynamics of Species
Occurrence, Second Edition, provides a synthesis of model-based approaches for analyzing …

We offer suggestions to avoid misuse of information-theoretic methods in wildlife laboratory
and field studies. Our suggestions relate to basic science issues and the need to ask deeper …

The Genetic Algorithm for Rule-Set Prediction (GARP) is one of several current approaches
to modeling species' distributions using occurrence records and environmental data …

For many applications the continuous prediction afforded by species distribution modeling
must be converted to a map of presence or absence, so a threshold probability indicative of …

Climate change and habitat destruction are two of the greatest threats to global biodiversity.
Lattice models have been used to investigate how hypothetical species with different …

Logistic regression is an important tool for wildlife habitat‐selection studies, but the method
frequently has been misapplied due to an inadequate understanding of the logistic model …

The status of many carnivore populations is of growing concern to scientists and
conservationists, making the need for data pertaining to carnivore distribution, abundance …

The size and growth of the human population are often cited as key factors in threats to
Earth's biodiversity, yet the extent of their contribution to the endangerment and extinction of …