Ontology highlight
ABSTRACT: Background
Understanding the selection of environmental conditions by animals requires knowledge of where they are, but also of where they could have been. Presence data can be accurately estimated by direct sampling, sightings, or through electronic tag deployments. However, absence data are harder to determine because absences are challenging to measure in an uncontrolled setting. To address this problem, ecologists have developed different methods for generating pseudo-absence data relying on theoretical movement models. These null models represent the movement of environmentally naive individuals, creating a set of locations that animals could have been if they were not exhibiting environmental selection.Methods
Here, we use four different kinds of null animal movement
SUBMITTER: Pinti J
PROVIDER: S-EPMC9798696 | biostudies-literature | 2022 Dec
REPOSITORIES: biostudies-literature