Statistical Abundance Estimation

Statistical Abundance Estimation is a quantitative methodological framework within population ecology that uses statistical models to infer the absolute or relative number of individuals in a population from sample data, distinguished by its reliance on probabilistic inference and sampling theory to account for detection uncertainty and spatial heterogeneity.

214

Publications

27.9K

Citations

560

Authors

250

Institutions

Publications per year

2017–2026

29

Authors

560

  1. KP
    Kenneth P. Burnham

    Colorado State University, United States

    6 publications · 2.1K citations

    6

    h-index

  2. RM
    Robert M. Dorazio

    United States Geological Survey, United States

    5 publications · 407 citations

    5

    h-index

  3. MK
    Marc Kéry

    Swiss Ornithological Institute, Switzerland

    5 publications · 488 citations

    5

    h-index

  4. JR
    John R. Skalski

    University of Washington, United States

    5 publications · 109 citations

    5

    h-index

  5. ST
    S. T. Buckland

    University of St Andrews, United Kingdom

    4 publications · 1.9K citations

    4

    h-index

1–5 of 560

Venues

  1. Biometrics

    28 publications · 8.4K citations

    22

    h-index

  2. Journal of Wildlife Management

    13 publications · 728 citations

    12

    h-index

  3. Ecology

    10 publications · 3.3K citations

    10

    h-index

  4. Ecological Modelling

    10 publications · 820 citations

    10

    h-index

  5. 6

    h-index

1–5