Indicator Species Modeling

Indicator Species Modeling is a computational or statistical framework that distinguishes itself by predicting or inferring the presence, abundance, or ecological status of indicator species based on environmental variables, species interactions, or ecosystem conditions.

11

Publications

1.3K

Citations

49

Authors

23

Institutions

Publications per year

2017–2026

3

Authors

49

  1. EF
    Erica Fleishman

    Stanford University, United States

    2 publications · 177 citations

    2

    h-index

  2. RM
    Ralph Mac Nally

    Monash University, Australia

    2 publications · 177 citations

    2

    h-index

  3. JR
    James R. Thomson

    Monash University, Australia

    1 publications · 129 citations

    1

    h-index

  4. BM
    Briony Mamo

    University of Hong Kong, Hong Kong SAR China

    1 publications · 36 citations

    1

    h-index

  5. RB
    R.G.H. Bunce

    Estonian University of Life Sciences, Estonia

    1 publications · 20 citations

    1

    h-index

1–5 of 49

Venues

  1. Ecological Indicators

    3 publications · 112 citations

    3

    h-index

  2. PLoS ONE

    2 publications · 128 citations

    2

    h-index

  3. Conservation Biology

    1 publications · 129 citations

    1

    h-index

  4. Ecological Applications

    1 publications · 48 citations

    1

    h-index

  5. Annales Botanici Fennici

    1 publications · 20 citations

    1

    h-index

1–5