Linking landscape characteristics to local grizzly bear abundance using multiple detection methods in a hierarchical model

Animal Conservation

Volumn 14, Issue 6, 2011, Pages 652-664

  Graves, T A ^a   Kendall, K C ^b   Royle, J A ^c   Stetz, J B ^d   Macleod, A C ^d  

^a NORTHERN ARIZONA UNIVERSITY   (United States)

^b Glacier National Park   (United States)

^c PATUXENT WILDLIFE RESEARCH CENTER   (United States)

^d UNIVERSITY OF MONTANA   (United States)

Author keywords

Bayesian; Density; Detection probability; Glacier National Park; Habitat use; Montana; Spatial mark recapture; Ursus arctos

Indexed keywords

ABUNDANCE; AUTOCORRELATION; BAYESIAN ANALYSIS; BEAR; DETECTION METHOD; HABITAT SELECTION; HABITAT USE; HIERARCHICAL SYSTEM; LANDSCAPE ECOLOGY; MARK-RECAPTURE METHOD; MARKOV CHAIN; MONTE CARLO ANALYSIS; NUMERICAL MODEL; POPULATION DENSITY; SAMPLING;

GLACIER NATIONAL PARK [MONTANA]; MONTANA; UNITED STATES;

HEVEA BRASILIENSIS; URSUS ARCTOS;

EID: 84155189185     PISSN: 13679430     EISSN: 14691795     Source Type: Journal    
DOI: 10.1111/j.1469-1795.2011.00471.x     Document Type: Article

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