Sampling Heterogeneity

Sampling Heterogeneity is a methodological construct in taxon sampling design that characterizes the uneven distribution of sampling effort across taxonomic groups or phylogenetic lineages, thereby influencing the representativeness and bias of biodiversity inferences.

97

Publications

8K

Citations

318

Authors

166

Institutions

Publications per year

2017–2026

13

Authors

318

  1. DP
    David P. Larsen

    Environmental Protection Agency, United States

    3 publications · 201 citations

    3

    h-index

  2. AC
    Anne Chao

    National Tsing Hua University, Taiwan

    2 publications · 207 citations

    2

    h-index

  3. KH
    Kim H. Esbensen

    Aalborg University, Denmark

    2 publications · 42 citations

    2

    h-index

  4. PA
    Peter A. Biro

    Deakin University, Australia

    2 publications · 283 citations

    2

    h-index

  5. CA
    Carlos A. Peres

    University of East Anglia, United Kingdom

    2 publications · 34 citations

    2

    h-index

1–5 of 318

Venues

  1. Ecology

    5 publications · 423 citations

    5

    h-index

  2. Molecular Biology and Evolution

    MBE · 3 publications · 149 citations

    3

    h-index

  3. Oikos

    3 publications · 534 citations

    3

    h-index

  4. Ecological Modelling

    3 publications · 1.4K citations

    3

    h-index

  5. Folia Geobotanica

    3 publications · 180 citations

    3

    h-index

1–5