Regrowth Modeling

Regrowth Modeling is a predictive ecological framework that quantifies the temporal dynamics of forage biomass recovery following defoliation or disturbance, distinguishing itself by integrating species-specific growth parameters, environmental constraints, and management practices to forecast vegetation regrowth in grazed ecosystems.

19

Publications

592

Citations

66

Authors

36

Institutions

Publications per year

2017–2026

3

Authors

66

  1. HB
    Helge Bonesmo

    Agriculture and Agri-Food Canada, Canada

    2 publications · 52 citations

    2

    h-index

  2. QJ
    Qi Jing

    Agriculture and Agri-Food Canada, Canada

    2 publications · 78 citations

    2

    h-index

  3. GB
    Gilles Bélanger

    Agriculture and Agri-Food Canada, Canada

    2 publications · 78 citations

    2

    h-index

  4. TA
    Takashi Asaeda

    Saitama University, Japan

    1 publications · 39 citations

    1

    h-index

  5. RJ
    Robin J. Pakeman

    James Hutton Institute, United Kingdom

    1 publications · 13 citations

    1

    h-index

1–5 of 66

Venues

  1. 1

    h-index

  2. Journal of Applied Ecology

    1 publications · 15 citations

    1

    h-index

  3. 1

    h-index

  4. International Journal of Food Microbiology

    1 publications · 40 citations

    1

    h-index

  5. Agronomy Journal

    1 publications · 32 citations

    1

    h-index

1–5