A General Framework for the Analysis of Animal Resource Selection from Telemetry Data


Autoria(s): Johnson, Devin S.; Thomas, Dana L.; Ver Hoef, Jay M.; Christ, Aaron
Data(s)

01/09/2008

Resumo

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 auto-correlated; 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.

Formato

application/pdf

Identificador

http://digitalcommons.unl.edu/usdeptcommercepub/190

http://digitalcommons.unl.edu/cgi/viewcontent.cgi?article=1194&context=usdeptcommercepub

Publicador

DigitalCommons@University of Nebraska - Lincoln

Fonte

Publications, Agencies and Staff of the U.S. Department of Commerce

Palavras-Chave #Environmental Sciences
Tipo

text