Title |
Movement-Based Estimation and Visualization of Space Use in 3D for Wildlife Ecology and Conservation
|
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Published in |
PLOS ONE, July 2014
|
DOI | 10.1371/journal.pone.0101205 |
Pubmed ID | |
Authors |
Jeff A. Tracey, James Sheppard, Jun Zhu, Fuwen Wei, Ronald R. Swaisgood, Robert N. Fisher |
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. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Canada | 2 | 67% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Science communicators (journalists, bloggers, editors) | 1 | 33% |
Members of the public | 1 | 33% |
Scientists | 1 | 33% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 6 | 3% |
Brazil | 3 | 1% |
Austria | 1 | <1% |
Australia | 1 | <1% |
Colombia | 1 | <1% |
Belize | 1 | <1% |
Portugal | 1 | <1% |
Thailand | 1 | <1% |
Canada | 1 | <1% |
Other | 0 | 0% |
Unknown | 209 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 48 | 21% |
Student > Master | 42 | 19% |
Student > Ph. D. Student | 41 | 18% |
Student > Bachelor | 19 | 8% |
Student > Doctoral Student | 14 | 6% |
Other | 25 | 11% |
Unknown | 36 | 16% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 109 | 48% |
Environmental Science | 48 | 21% |
Earth and Planetary Sciences | 9 | 4% |
Social Sciences | 5 | 2% |
Veterinary Science and Veterinary Medicine | 3 | 1% |
Other | 8 | 4% |
Unknown | 43 | 19% |