Stochastic Forest Modeling

Stochastic Forest Modeling is a computational modeling framework that belongs to the class of forest simulation methods, distinguished by its explicit incorporation of probabilistic processes to represent uncertainty in forest dynamics, growth, and disturbance regimes.

167

Publications

7.3K

Citations

531

Authors

274

Institutions

Publications per year

2017–2026

40

Variants

Stochastic Forest Modelling

Authors

531

  1. PR
    Petras Rupšys

    Aleksandras Stulginskis University, Lithuania

    6 publications · 102 citations

    6

    h-index

  2. JB
    Joseph Buongiorno

    University of Wisconsin–Madison, United States

    6 publications · 213 citations

    6

    h-index

  3. MZ
    Mo Zhou

    West Virginia University, United States

    4 publications · 150 citations

    4

    h-index

  4. HL
    Heike Lischke

    Swiss Federal Institute for Forest, Snow and Landscape Research, Switzerland

    4 publications · 98 citations

    4

    h-index

  5. PD
    Philippe De Reffye

    Centre de Coopération Internationale en Recherche Agronomique pour le Développement, France

    3 publications · 72 citations

    3

    h-index

1–5 of 531

Venues

  1. Forest Science

    16 publications · 563 citations

    14

    h-index

  2. Ecological Modelling

    13 publications · 897 citations

    13

    h-index

  3. Canadian Journal of Forest Research

    11 publications · 621 citations

    11

    h-index

  4. Annals of Forest Science

    6 publications · 183 citations

    6

    h-index

  5. Forest Ecology and Management

    6 publications · 383 citations

    6

    h-index

1–5