Dynamic Occupancy Models
Dynamic Occupancy Models is a statistical modeling framework within ecological inference that explicitly accounts for temporal changes in species presence at spatially discrete sites by incorporating processes of colonization and local extinction while distinguishing detection probabilities from true occupancy states.
176
Publications
9.7K
Citations
695
Authors
332
Institutions
Publications per year
2017–2026
94
Parents
176
Impacts of neonicotinoid use on long-term population changes in wild bees in England
Ben A. Woodcock, James M. Bullock, David B. Roy et al. · Nature Communications · 2016 · 527 citations · Full text
Life Sciences, Ecology, Entomology +14
A BAYESIAN STATE-SPACE FORMULATION OF DYNAMIC OCCUPANCY MODELS
J. Andrew Royle, Marc Kéry · Ecology · 2007 · 444 citations
1–5 of 176
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332
United States Geological Survey
Reston, United States
24 h-index
96 publications
4.8K citations
Colorado State University
Fort Collins, United States
13 h-index
24 publications
1K citations
Oregon State University
Corvallis, United States
9 h-index
25 publications
982 citations

Centre National de la Recherche Scientifique
Paris, France
8 h-index
22 publications
905 citations

Swiss Ornithological Institute
Sempach, Switzerland
8 h-index
14 publications
914 citations
University of Florida
Gainesville, United States
8 h-index
10 publications
691 citations

US Forest Service
Washington, United States
7 h-index
10 publications
680 citations
University of Zurich
Zurich, Switzerland
7 h-index
8 publications
242 citations
1–8 of 332
9 publications · 394 citations
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9 publications · 385 citations
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8 publications · 996 citations
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8 publications · 205 citations
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7 publications · 276 citations
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