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

Authors

108

  1. MF
    Ma Feilong

    Dartmouth College, United States

    2 publications · 113 citations

    2

    h-index

  2. CD
    Claudia Dislich

    Helmholtz Centre for Environmental Research, Germany

    2 publications · 90 citations

    2

    h-index

  3. SA
    Samuel A. Cushman

    Rocky Mountain Research (United States), United States

    2 publications · 100 citations

    2

    h-index

  4. JV
    James V. Haxby

    National Institute on Aging, United States

    2 publications · 113 citations

    2

    h-index

  5. KF
    Karin Frank

    Helmholtz Centre for Environmental Research, Germany

    2 publications · 90 citations

    2

    h-index

1–5 of 108

Venues

  1. Ecological Modelling

    4 publications · 328 citations

    4

    h-index

  2. PLoS ONE

    2 publications · 90 citations

    3

    h-index

  3. Biological Conservation

    2 publications · 66 citations

    2

    h-index

  4. Scientific Reports

    2 publications · 134 citations

    2

    h-index

  5. Ecology

    1 publications · 65 citations

    1

    h-index

1–5