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 …

CONSERVATION BIOGEOGRAPHY The Earth's ecosystems are in the midst of an
unprecedented period of change as a result of human action. Many habitats have been …