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1 April 2011 Density Estimation in a Wolverine Population using Spatial Capture-Recapture Models
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Classical closed-population capture—recapture models do not accommodate the spatial information inherent in encounter history data obtained from camera-trapping studies. As a result, individual heterogeneity in encounter probability is induced, and it is not possible to estimate density objectively because trap arrays do not have a well-defined sample area. We applied newly-developed, capture—recapture models that accommodate the spatial attribute inherent in capture—recapture data to a population of wolverines (Gulo gulo) in Southeast Alaska in 2008. We used camera-trapping data collected from 37 cameras in a 2,140-km2 area of forested and open habitats largely enclosed by ocean and glacial icefields. We detected 21 unique individuals 115 times. Wolverines exhibited a strong positive trap response, with an increased tendency to revisit previously visited traps. Under the trap-response model, we estimated wolverine density at 9.7 individuals/1,000 km2 (95% Bayesian CI: 5.9–15.0). Our model provides a formal statistical framework for estimating density from wolverine camera-trapping studies that accounts for a behavioral response due to baited traps. Further, our model-based estimator does not have strict requirements about the spatial configuration of traps or length of trapping sessions, providing considerable operational flexibility in the development of field studies.

© 2011 The Wildlife Society.
J. Andrew Royle, Audrey J. Magoun, Beth Gardner, Patrick Valkenburg, and Richard E. Lowell "Density Estimation in a Wolverine Population using Spatial Capture-Recapture Models," Journal of Wildlife Management 75(3), 604-611, (1 April 2011).
Received: 18 February 2010; Accepted: 1 July 2010; Published: 1 April 2011

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