Individual-based Connectivity Models
Individual-Based Connectivity Models is a type of landscape connectivity model that simulates movement and interactions across heterogeneous landscapes by explicitly representing individual organisms as autonomous agents with species-specific behavioral and physiological traits, thereby distinguishing it from population- or graph-based approaches that aggregate individuals or simplify movement pathways.
27
Publications
1.2K
Citations
108
Authors
80
Institutions
Publications per year
2017–2026
15
27
Movement rules for individual-based models of stream fish
Steven F. Railsback, Roland H. Lamberson, Bret C. Harvey et al. · Ecological Modelling · 1999 · 198 citations
A stochastic movement simulator improves estimates of landscape connectivity
Aurélie Coulon, Job Aben, Steve C. Palmer et al. · Ecology · 2015 · 65 citations · Full text
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Rocky Mountain Research (United States), United States
2 publications · 100 citations
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1–5 of 108
80

Helmholtz Centre for Environmental Research
Leipzig, Germany
4 h-index
12 publications
553 citations

Centre National de la Recherche Scientifique
Paris, France
3 h-index
7 publications
271 citations

US Forest Service
Washington, United States
3 h-index
3 publications
298 citations

Ghent University
Ghent, Belgium
2 h-index
3 publications
163 citations

University of Aberdeen
Aberdeen, United Kingdom
2 h-index
4 publications
196 citations

École Pratique des Hautes Études
Paris, France
2 h-index
1 publications
65 citations
University of Antwerp
Antwerp, Belgium
2 h-index
7 publications
327 citations
Dartmouth College
Hanover, United States
2 h-index
6 publications
339 citations
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4 publications · 328 citations
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2 publications · 90 citations
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2 publications · 66 citations
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2 publications · 134 citations
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1 publications · 65 citations
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