Velocity-based movement modeling for individual and population level inference

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Understanding animal movement and resource selection provides important information about the ecology of the animal, but an animal's movement and behavior are not typically constant in time. We present a velocity-based approach for modeling animal movement in space and time that allows for temporal heterogeneity in an animal's response to the environment, allows for temporal irregularity in telemetry data, and accounts for the uncertainty in the location information. Population-level inference on movement patterns and resource selection can then be made through cluster analysis of the parameters related to movement and behavior. We illustrate this approach through a study of northern fur seal (Callorhinus ursinus) movement in the Bering Sea, Alaska, USA. Results show sex differentiation, with female northern fur seals exhibiting stronger response to environmental variables.

Publication type Article
Publication Subtype Journal Article
Title Velocity-based movement modeling for individual and population level inference
Series title PLoS ONE
DOI 10.1371/journal.pone.0022795
Volume 6
Issue 8
Year Published 2011
Language English
Publisher Public Library of Science
Description 17 p.
Larger Work Title PLoS ONE
First page e22795
Country United States
State Alaska
Other Geospatial Bering Sea
Online Only (Y/N) N
Additional Online Files (Y/N) N
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