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
Parents
11
Sanford Sillman · Journal of Geophysical Research Atmospheres · 1995 · 790 citations
Using Indicator Species to Predict Species Richness of Multiple Taxonomic Groups
Erica Fleishman, James R. Thomson, Ralph Mac Nally et al. · Conservation Biology · 2005 · 129 citations
Life Sciences, Biology, Ecology +17
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Stanford University
Stanford, United States
2 h-index
3 publications
306 citations

Monash University
Melbourne, Australia
2 h-index
3 publications
306 citations
State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering
Nanjing, China
1 h-index
3 publications
45 citations
Centre for Environment, Fisheries and Aquaculture Science
Lowestoft, United Kingdom
1 h-index
1 publications
76 citations
University of Technology Sydney
Sydney, Australia
1 h-index
1 publications
15 citations
Laboratoire des Sciences de l'Ingénieur, de l'Informatique et de l'Imagerie
Illkirch-Graffenstaden, France
1 h-index
1 publications
15 citations

University of Regina
Regina, Canada
1 h-index
2 publications
38 citations
Universidade de Santiago de Compostela
Santiago de Compostela, Spain
1 h-index
1 publications
76 citations
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3 publications · 112 citations
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2 publications · 128 citations
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1 publications · 129 citations
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1 publications · 48 citations
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1 publications · 20 citations
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