Hawthorne Beyer

The interpretation of habitat preference metrics under use-availability designs

Beyer, H.L., Haydon, D.T., Morales, J.M., Frair, J.L., Hebblewhite, M., Mitchell, M. and Matthiopoulos, J. 2010. The interpretation of habitat preference metrics under use-availability designs. Philosophical Transactions of the Royal Society B 365, 2245–2254.

Received 2011 Outstanding Article Award from The Wildlife Society

Abstract

Models of habitat preference are widely used to quantify animal – habitat relationships, to describe and predict differential space use by animals, and to identify habitat that is important to an animal (i.e. that is assumed to influence fitness). Quantifying habitat preference involves the statistical comparison of samples of habitat use and availability. Preference is therefore contingent upon both of these samples. The inferences that can be made from use versus availability designs are influenced by subjectivity in defining what is available to the animal, the problem of quantifying the accessibility of available resources and the framework in which preference is modelled. Here, we describe these issues, document the conditional nature of preference and establish the limits of inferences that can be drawn from these analyses. We argue that preference is not interpretable as reflecting the intrinsic behavioural motivations of the animal, that estimates of preference are not directly comparable among different samples of availability and that preference is not necessarily correlated with the value of habitat to the animal. We also suggest that preference is context-dependent and that functional responses in preference resulting from changing availability are expected. We conclude by describing advances in analytical methods that begin to resolve these issues.

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Australian Research Council DECRA Research Fellow

Email: hawthorne -at- spatialecology.com or h.beyer -at- uq.edu.au

Affiliations:

ARC Centre of Excellence for Environmental Decisions &

Centre for Biodiversity and Conservation Science &

Environmental Decisions Group,

School of Biological Sciences, Goddard Building

University of Queensland

Brisbane, Queensland 4072 Australia