Movement-based estimation and visualization of space use in 3D for wildlife ecology and conservation
PLoS ONE
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Abstract
Advances in digital biotelemetry technologies are enabling the collection of bigger and more accurate data on the movements of free-ranging wildlife in space and time. Although many biotelemetry devices record 3D location data with x, y, and z coordinates from tracked animals, the third z coordinate is typically not integrated into studies of animal spatial use. Disregarding the vertical component may seriously limit understanding of animal habitat use and niche separation. We present novel movement-based kernel density estimators and computer visualization tools for generating and exploring 3D home ranges based on location data. We use case studies of three wildlife species – giant panda, dugong, and California condor – to demonstrate the ecological insights and conservation management benefits provided by 3D home range estimation and visualization for terrestrial, aquatic, and avian wildlife research.
| Publication type | Article |
|---|---|
| Publication Subtype | Journal Article |
| Title | Movement-based estimation and visualization of space use in 3D for wildlife ecology and conservation |
| Series title | PLoS ONE |
| DOI | 10.1371/journal.pone.0101205 |
| Volume | 9 |
| Issue | 7 |
| Year Published | 2014 |
| Language | English |
| Publisher | Public Library of Science |
| Publisher location | San Francisco, CA |
| Contributing office(s) | Western Ecological Research Center |
| Description | HTML Document |
| Larger Work Type | Article |
| Larger Work Subtype | Journal Article |
| Larger Work Title | PLoS ONE |
| Google Analytic Metrics | Metrics page |