Density Estimation in a Wolverine Population using Spatial Capture-Recapture Models
By J. Andrew Royle, Audrey J. Magoun, Beth Gardner, P. Valkenburg, Richard E. Lowell. 2011
96 citations recorded by the source corpus.
ABSTRACT 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.
Subfields: Ecological Modeling, Ecology
View Paper: https://www.semanticscholar.org/paper/3933b1aec55f721408f030222b2831e37f256021
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Citations in the corpus
- The wolverine's niche: linking reproductive chronology, caching, competition, and climate (2012, methodology): “We also used personal knowledge related to the timing of reproductive events obtained during wolverine field studies that we conducted (Inman et al. 2012; Magoun 1985; Mattisson 2011; Persson 2003; Persson et al. 2006; Royle et al. 2011).”
- Towards good practice guidance in using camera‐traps in ecology: influence of sampling design on validity of ecological inferences (2013, background): “…studies usually use movement- instead of time-triggered cameras (e.g. Bowkett, Rovero &Marshall 2007; De Bondi et al. 2010; Linkie & Ridout 2011; Royle et al. 2011), it is important to note that movementtriggered cameras recorded overall a lower number of daily presences than time-triggered…”