A General Framework for the Analysis of Animal Resource Selection from Telemetry Data
Article first published online: 28 NOV 2007
© 2008, The International Biometric Society
Volume 64, Issue 3, pages 968–976, September 2008
How to Cite
Johnson, D. S., Thomas, D. L., Ver Hoef, J. M. and Christ, A. (2008), A General Framework for the Analysis of Animal Resource Selection from Telemetry Data. Biometrics, 64: 968–976. doi: 10.1111/j.1541-0420.2007.00943.x
- Issue published online: 18 AUG 2008
- Article first published online: 28 NOV 2007
- Received March 2007. Revised July 2007. Accepted September 2007.
- Brown bear;
- Discrete choice;
- Resource selection;
Summary We propose a general framework for the analysis of animal telemetry data through the use of weighted distributions. It is shown that several interpretations of resource selection functions arise when constructed from the ratio of a use and availability distribution. Through the proposed general framework, several popular resource selection models are shown to be special cases of the general model by making assumptions about animal movement and behavior. The weighted distribution framework is shown to be easily extended to readily account for telemetry data that are highly autocorrelated; as is typical with use of new technology such as global positioning systems animal relocations. An analysis of simulated data using several models constructed within the proposed framework is also presented to illustrate the possible gains from the flexible modeling framework. The proposed model is applied to a brown bear data set from southeast Alaska.