Forest Uncertainty

Forest Uncertainty is a form of uncertainty in forest economics that denotes imperfect or incomplete knowledge about future ecological, market, and policy conditions affecting forest growth, yields, prices, and ecosystem services, including situations where relevant future states or their probabilities are only partially known or fundamentally unknowable.

494

Publications

25.5K

Citations

1.6K

Authors

655

Institutions

Publications per year

2017–2026

153

Authors

1.6K

  1. AK
    Annika Kangas

    University of Helsinki, Finland

    15 publications · 415 citations

    13

    h-index

  2. RE
    Ronald E. McRoberts

    Northern Research Station, United States

    12 publications · 583 citations

    12

    h-index

  3. TK
    Thomas Knoke

    Technical University of Munich, Germany

    9 publications · 376 citations

    9

    h-index

  4. JK
    Jyrki Kangas

    Joensuu Science Park, Finland

    9 publications · 523 citations

    9

    h-index

  5. MH
    Marc Hanewinkel

    University of Freiburg, Germany

    8 publications · 874 citations

    8

    h-index

1–5 of 1.6K

Venues

  1. Forest Ecology and Management

    35 publications · 2.9K citations

    26

    h-index

  2. Forest Science

    29 publications · 1.6K citations

    24

    h-index

  3. Canadian Journal of Forest Research

    36 publications · 1K citations

    19

    h-index

  4. Remote Sensing of Environment

    13 publications · 1.6K citations

    13

    h-index

  5. Forest Policy and Economics

    FPE · 15 publications · 630 citations

    13

    h-index

1–5