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Uncertainty analysis of climate change mitigation options in the forestry sector using a generic carbon budget model

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  • Böttcher, Hannes
  • Freibauer, Annette
  • Obersteiner, Michael
  • Schulze, Ernst-Detlef

Abstract

Industrialized countries agreed on a reduction of greenhouse gas emissions under the Kyoto Protocol. Many countries elected forest management activities and the resulting net balance of carbon emissions and removals of non-CO2 greenhouse gases by forest management in their climate change mitigation measures. In this paper a generic dynamic forestry model (FORMICA) is presented. It has an empirical basis. Several modules trace C pools relevant for the Kyoto Protocol and beyond: biomass, litter, deadwood and soil, and harvested wood products. The model also accounts for the substitution of fossil fuels by wood products and bioenergy.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:ecomod:v:213:y:2008:i:1:p:45-62
    DOI: 10.1016/j.ecolmodel.2007.11.007
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    References listed on IDEAS

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    1. Brainard, Julii & Lovett, Andrew & Bateman, Ian, 2006. "Sensitivity analysis in calculating the social value of carbon sequestered in British grown Sitka spruce," Journal of Forest Economics, Elsevier, vol. 12(3), pages 201-228, December.
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    Cited by:

    1. Braun, Martin & Winner, Georg & Schwarzbauer, Peter & Stern, Tobias, 2016. "Apparent Half-Life-Dynamics of Harvested Wood Products (HWPs) in Austria: Development and analysis of weighted time-series for 2002 to 2011," Forest Policy and Economics, Elsevier, vol. 63(C), pages 28-34.
    2. 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.
    3. Pilli, Roberto & Grassi, Giacomo & Kurz, Werner A. & Smyth, Carolyn E. & Blujdea, Viorel, 2013. "Application of the CBM-CFS3 model to estimate Italy's forest carbon budget, 1995–2020," Ecological Modelling, Elsevier, vol. 266(C), pages 144-171.
    4. Anthony G. Patt & Elke U. Weber, 2014. "Perceptions and communication strategies for the many uncertainties relevant for climate policy," Wiley Interdisciplinary Reviews: Climate Change, John Wiley & Sons, vol. 5(2), pages 219-232, March.
    5. H. Böttcher & A. Freibauer & Y. Scholz & V. Gitz & Philippe Ciais & M. Mund & T. Wutzler & E.-D. Schulze, 2012. "Setting priorities for land management to mitigate climate change," Post-Print hal-00716172, HAL.
    6. Zell, Jürgen & Kändler, Gerald & Hanewinkel, Marc, 2009. "Predicting constant decay rates of coarse woody debris—A meta-analysis approach with a mixed model," Ecological Modelling, Elsevier, vol. 220(7), pages 904-912.
    7. 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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