Scenario-based Landscape Modeling

Scenario-Based Landscape Modeling is a predictive modeling framework within landscape change science that systematically projects future landscape configurations by simulating spatially explicit dynamics under alternative plausible assumptions about driving forces, thereby differentiating itself from deterministic or single-outcome models through its reliance on multiple, internally consistent scenarios.

79

Publications

4K

Citations

362

Authors

181

Institutions

Publications per year

2017–2026

33

Authors

362

  1. JS
    Janet Silbernagel

    University of Wisconsin–Madison, United States

    2 publications · 47 citations

    2

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  2. MJ
    M. Jane Bunting

    University of Hull, United Kingdom

    2 publications · 284 citations

    2

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  3. AL
    Andrew Lovett

    University of East Anglia, United Kingdom

    2 publications · 107 citations

    2

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  4. VP
    Václav Petráš

    North Carolina State University, United States

    2 publications · 41 citations

    2

    h-index

  5. JD
    Jordan Dornbierer

    United States Geological Survey, United States

    2 publications · 41 citations

    2

    h-index

1–5 of 362

Venues

  1. Landscape and Urban Planning

    7 publications · 386 citations

    7

    h-index

  2. Land

    6 publications · 165 citations

    6

    h-index

  3. Landscape Ecology

    5 publications · 391 citations

    5

    h-index

  4. Environmental Modelling & Software

    4 publications · 228 citations

    4

    h-index

  5. 3

    h-index

1–5