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

Authors

695

  1. JD
    James D. Nichols

    United States Geological Survey, United States

    12 publications · 975 citations

    12

    h-index

  2. LL
    Larissa L. Bailey

    Colorado State University, United States

    10 publications · 495 citations

    10

    h-index

  3. MK
    Marc Kéry

    Swiss Ornithological Institute, Switzerland

    7 publications · 719 citations

    7

    h-index

  4. JE
    James E. Hines

    United States Geological Survey, United States

    7 publications · 569 citations

    7

    h-index

  5. OG
    Olivier Giménez

    Centre d'Écologie Fonctionnelle et Évolutive, France

    6 publications · 174 citations

    6

    h-index

1–5 of 695

Venues

  1. Journal of Applied Ecology

    9 publications · 394 citations

    9

    h-index

  2. Ecography

    9 publications · 385 citations

    9

    h-index

  3. Ecology

    8 publications · 996 citations

    8

    h-index

  4. PLoS ONE

    8 publications · 205 citations

    8

    h-index

  5. Ecological Applications

    7 publications · 276 citations

    7

    h-index

1–5