2007
DOI: 10.2193/2006-037
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Modeling Habitat Occupancy of Orange‐Crowned Warblers in Managed Forests of Oregon and Washington, USA

Abstract: As part of a habitat management planning process for commercially managed forests, we developed and evaluated habitat occupancy models for the orange‐crowned warbler (Vermivora celata), a conservation priority species in Oregon and Washington, USA. We used repeated surveys to classify a random sample of managed conifer stands at the McKenzie, PeEll, and Tolt study sites in western Oregon and Washington as either occupied or unoccupied during 1994–1995. We modeled occupancy and detection probabilities as a func… Show more

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Cited by 27 publications
(19 citation statements)
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“…In the second stage, we created a set of candidate models to test the effects of the measured landscape variables on the variation seen in occupancy (ψ) among survey sites, given the modeled detection probabilities (Kroll et al 2007;Henneman and Andersen 2009;Hansen et al 2011). We grouped variables together in candidate models to test hypotheses on whether raptor presence was associated with broader patterns of land cover.…”
Section: Modeling Habitat Associationsmentioning
confidence: 99%
“…In the second stage, we created a set of candidate models to test the effects of the measured landscape variables on the variation seen in occupancy (ψ) among survey sites, given the modeled detection probabilities (Kroll et al 2007;Henneman and Andersen 2009;Hansen et al 2011). We grouped variables together in candidate models to test hypotheses on whether raptor presence was associated with broader patterns of land cover.…”
Section: Modeling Habitat Associationsmentioning
confidence: 99%
“…For example, several avian species, including leaf‐gleaning and shrub‐nesting birds, occurring in our study region have shown strong sensitivities to management intensity in correlative (Morrison & Meslow ; Kroll et al . ) and experimental studies (Betts et al . ).…”
Section: Introductionmentioning
confidence: 99%
“…In this perspective, our results demonstrate the added value of occupancy models not only in evaluating species distribution patterns (McKenzie et al 2002), but also as a powerful tool to design grid-based population sampling for a variety of taxonomic groups, especially when detection probability needs to be maximized for analytical purposes. In fact, occupancy models are originally meant to estimate species occupancy rates (e.g., Kroll et al 2007;Mortelliti and Boitani 2007), and detection probability is therefore nothing more than a nuisance parameter. However, they can also be applied to test hypotheses concerning the main factors influencing detection probability, as recently done for bears (Boulanger et al 2008b) and other species as well (Pecari tajatu: Longoria and Weckerly 2007; butterflies: Pellet 2008).…”
Section: Discussionmentioning
confidence: 99%