Considering ecological dynamics in resource selection functions
Article first published online: 1 SEP 2009
© 2009 The Authors. Journal compilation © 2009 British Ecological Society
Journal of Animal Ecology
Volume 79, Issue 1, pages 4–12, January 2010
How to Cite
McLoughlin, P. D., Morris, D. W., Fortin, D., Vander Wal, E. and Contasti, A. L. (2010), Considering ecological dynamics in resource selection functions. Journal of Animal Ecology, 79: 4–12. doi: 10.1111/j.1365-2656.2009.01613.x
- Issue published online: 11 DEC 2009
- Article first published online: 1 SEP 2009
- Received 8 December 2008; accepted 28 July 2009 Handling Editor: Tim Coulson
- density-dependent habitat selection;
- functional response;
- logistic regression;
- random effects;
- resource selection function;
1. Describing distribution and abundance is requisite to exploring interactions between organisms and their environment. Recently, the resource selection function (RSF) has emerged to replace many of the statistical procedures used to quantify resource selection by animals.
2. A RSF is defined by characteristics measured on resource units such that its value for a unit is proportional to the probability of that unit being used by an organism. It is solved using a variety of techniques, particularly the binomial generalized linear model.
3. Observing dynamics in a RSF – obtaining substantially different functions at different times or places for the same species – alerts us to the varying ecological processes that underlie resource selection.
4. We believe that there is a need for us to reacquaint ourselves with ecological theory when interpreting RSF models. We outline a suite of factors likely to govern ecologically based variation in a RSF. In particular, we draw attention to competition and density-dependent habitat selection, the role of predation, longitudinal changes in resource availability and functional responses in resource use.
5. How best to incorporate governing factors in a RSF is currently in a state of development; however, we see promise in the inclusion of random as well as fixed effects in resource selection models, and matched case–control logistic regression.
6. Investigating the basis of ecological dynamics in a RSF will allow us to develop more robust models when applied to forecasting the spatial distribution of animals. It may also further our understanding of the relative importance of ecological interactions on the distribution and abundance of species.