Height Model Selection

Height Model Selection is a methodological process in allometric modeling that involves the systematic evaluation and choice of optimal mathematical models to predict tree height from diameter measurements based on statistical, biological, and ecological criteria.

9

Publications

237

Citations

18

Authors

11

Institutions

Publications per year

2017–2026

1

Authors

18

  1. LF
    Lei Fa

    Xingtai University, China

    1 publications · 14 citations

    1

    h-index

  2. LF
    Luís Fontes

    University of Lisbon, Portugal

    1 publications · 30 citations

    1

    h-index

  3. TM
    Tara M. Barrett

    Pacific Northwest Research Station, United States

    1 publications · 10 citations

    1

    h-index

  4. PM
    Peter Marshall

    University of British Columbia, Canada

    1 publications · 13 citations

    1

    h-index

  5. CG
    Charlotte G. Kenchington

    University of Cambridge, United Kingdom

    1 publications · 62 citations

    1

    h-index

1–5 of 18

Venues

  1. Forest Ecology and Management

    3 publications · 98 citations

    3

    h-index

  2. 1

    h-index

  3. 1

    h-index

  4. Canadian Journal of Forest Research

    1 publications · 10 citations

    1

    h-index

  5. Nature Ecology & Evolution

    1 publications · 62 citations

    1

    h-index

1–5