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Modelling forest management within a global vegetation model—Part 1: Model structure and general behaviour

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  • Bellassen, V.
  • Le Maire, G.
  • Dhôte, J.F.
  • Ciais, P.
  • Viovy, N.

Abstract

This article describes a new forest management module (FMM) that explicitly simulates forest stand growth and management within a process-based global vegetation model (GVM) called ORCHIDEE. The net primary productivity simulated by ORCHIDEE is used as an input to the FMM. The FMM then calculates stand and management characteristics such as stand density, tree size distribution, tree growth, the timing and intensity of thinnings and clear-cuts, wood extraction and litter generated after thinning. Some of these variables are then fed back to ORCHIDEE. These computations are made possible with a distribution-based modelling of individual tree size. The model derives natural mortality from the relative density index (rdi), a competition index based on tree size and stand density. Based on the common forestry management principle of avoiding natural mortality, a set of rules is defined to calculate the recurrent intensity and frequency of forestry operations during the stand lifetime. The new-coupled model is called ORCHIDEE-FM (forest management).

Suggested Citation

  • Bellassen, V. & Le Maire, G. & Dhôte, J.F. & Ciais, P. & Viovy, N., 2010. "Modelling forest management within a global vegetation model—Part 1: Model structure and general behaviour," Ecological Modelling, Elsevier, vol. 221(20), pages 2458-2474.
    • Handle: RePEc:eee:ecomod:v:221:y:2010:i:20:p:2458-2474
    DOI: 10.1016/j.ecolmodel.2010.07.008
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    References listed on IDEAS

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    1. Sebastiaan Luyssaert & E. -Detlef Schulze & Annett Börner & Alexander Knohl & Dominik Hessenmöller & Beverly E. Law & Philippe Ciais & John Grace, 2008. "Old-growth forests as global carbon sinks," Nature, Nature, vol. 455(7210), pages 213-215, September.
    2. Sato, Hisashi & Itoh, Akihiko & Kohyama, Takashi, 2007. "SEIB–DGVM: A new Dynamic Global Vegetation Model using a spatially explicit individual-based approach," Ecological Modelling, Elsevier, vol. 200(3), pages 279-307.
    3. Böttcher, Hannes & Freibauer, Annette & Obersteiner, Michael & Schulze, Ernst-Detlef, 2008. "Uncertainty analysis of climate change mitigation options in the forestry sector using a generic carbon budget model," Ecological Modelling, Elsevier, vol. 213(1), pages 45-62.
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    Cited by:

    1. Sainte-Marie, J. & Saint-André, L. & Nouvellon, Y. & Laclau, J.-P. & Roupsard, O. & le Maire, G. & Delpierre, N. & Henrot, A. & Barrandon, M., 2014. "A new probabilistic canopy dynamics model (SLCD) that is suitable for evergreen and deciduous forest ecosystems," Ecological Modelling, Elsevier, vol. 290(C), pages 121-133.
    2. Bergkvist, John & Lagergren, Fredrik & Linderson, Maj-Lena Finnander & Miller, Paul & Lindeskog, Mats & Jönsson, Anna Maria, 2023. "Modelling managed forest ecosystems in Sweden: An evaluation from the stand to the regional scale," Ecological Modelling, Elsevier, vol. 477(C).
    3. Joetzjer, Emilie & Maignan, Fabienne & Chave, Jérôme & Goll, Daniel & Poulter, Ben & Barichivich, Jonathan & Maréchaux, Isabelle & Luyssaert, Sebastiaan & Guimberteau, Matthieu & Naudts, Kim & Bonal, , 2022. "Effect of tree demography and flexible root water uptake for modeling the carbon and water cycles of Amazonia," Ecological Modelling, Elsevier, vol. 469(C).
    4. Bellassen, V. & le Maire, G. & Guin, O. & Dhôte, J.F. & Ciais, P. & Viovy, N., 2011. "Modelling forest management within a global vegetation model—Part 2: Model validation from a tree to a continental scale," Ecological Modelling, Elsevier, vol. 222(1), pages 57-75.

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