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Forest wildfire emissions using the Canadian Fire Effects Model within the Generic Carbon Budget Model

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  • Smyth, C.
  • Fellows, M.
  • Cantin, A.

Abstract

This study integrated the Canadian Fire Effects Model (CanFIRE) within the Generic Carbon Budget Model (GCBM) to improve greenhouse gas (GHG) emissions from future wildfires. The new framework estimates wildland fire combustion emissions and mortality using species-specific algorithms for 11 tree species. We tested this framework on a national forest carbon simulation and compared the results to a previous study that used general combustion and mortality impacts for different regions. Our findings indicate that the new framework results in higher emissions estimates, mainly from the soil organic horizon. This framework is available as a GCBM module, offering a tool for wildfire and carbon studies in dynamic landscapes and analyzing wildfire management strategies and their potential to reduce GHG emissions

Suggested Citation

  • Smyth, C. & Fellows, M. & Cantin, A., 2026. "Forest wildfire emissions using the Canadian Fire Effects Model within the Generic Carbon Budget Model," Ecological Modelling, Elsevier, vol. 514(C).
  • Handle: RePEc:eee:ecomod:v:514:y:2026:i:c:s0304380026000189
    DOI: 10.1016/j.ecolmodel.2026.111490
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    References listed on IDEAS

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    1. Kurz, W.A. & Dymond, C.C. & White, T.M. & Stinson, G. & Shaw, C.H. & Rampley, G.J. & Smyth, C. & Simpson, B.N. & Neilson, E.T. & Trofymow, J.A. & Metsaranta, J. & Apps, M.J., 2009. "CBM-CFS3: A model of carbon-dynamics in forestry and land-use change implementing IPCC standards," Ecological Modelling, Elsevier, vol. 220(4), pages 480-504.
    2. Brendan Byrne & Junjie Liu & Kevin W. Bowman & Madeleine Pascolini-Campbell & Abhishek Chatterjee & Sudhanshu Pandey & Kazuyuki Miyazaki & Guido R. Werf & Debra Wunch & Paul O. Wennberg & Coleen M. Ro, 2024. "Carbon emissions from the 2023 Canadian wildfires," Nature, Nature, vol. 633(8031), pages 835-839, September.
    3. Bibek Subedi & Alexandre Morneau & Luc LeBel & Shuva Gautam & Guillaume Cyr & Roxanne Tremblay & Jean-François Carle, 2025. "An XGBoost-Based Machine Learning Approach to Simulate Carbon Metrics for Forest Harvest Planning," Sustainability, MDPI, vol. 17(12), pages 1-18, June.
    4. White, Thomas & Luckai, Nancy & Larocque, Guy R. & Kurz, Werner A. & Smyth, Carolyn, 2008. "A practical approach for assessing the sensitivity of the Carbon Budget Model of the Canadian Forest Sector (CBM-CFS3)," Ecological Modelling, Elsevier, vol. 219(3), pages 373-382.
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