BG Biogeosciences BG Biogeosciences 1726-4189 Copernicus Publications Göttingen, Germany 10.5194/bg-7-1991-2010 The influence of vegetation, fire spread and fire behaviour on biomass burning and trace gas emissions: results from a process-based model Thonicke K. 1 2 3 9 Spessa A. 1 4 Prentice I. C. 1 5 6 7 Harrison S. P. 2 6 Dong L. 5 Carmona-Moreno C. 8 formerly Max Planck Institute for Biogeochemistry, Hans-Knöll-Straße 10, Jena, 07701, Germany School of Geographical Sciences, University of Bristol, University Road, Bristol, BS8 1SS, UK Department of Biological Sciences, Macquarie University, North Ryde, NSW 2109, Australia Grantham Institute for Climate Change, and Division of Biology, Imperial College, Silwood Park Campus, Ascot, SL5 7PY, UK Potsdam Institute for Climate Impact Research (PIK) e.V., Telegraphenberg A31, Potsdam, 14473, Germany National Centre for Atmospheric Sciences (NCAS), NCAS-Climate, University of Reading, Earley Gate, Reading, RG6 6BB, UK QUEST, Department of Earth Sciences, University of Bristol, Wills Memorial Building, Queen's Road, Bristol, BS8 1RJ, UK Global Vegetation Monitoring Unit, Joint Research Centre Ispra, Ispra, Italy now at: Potsdam Institute for Climate Impact Research (PIK) e.V., Telegraphenberg A31, Potsdam, 14473, Germany 23 06 2010 7 6 1991 2011 Copyright: © 2010 K. Thonicke et al. 2010 This work is licensed under the Creative Commons Attribution 3.0 Unported License. To view a copy of this licence, visit https://creativecommons.org/licenses/by/3.0/ This article is available from https://bg.copernicus.org/articles/7/1991/2010/bg-7-1991-2010.html The full text article is available as a PDF file from https://bg.copernicus.org/articles/7/1991/2010/bg-7-1991-2010.pdf

A process-based fire regime model (SPITFIRE) has been developed, coupled with ecosystem dynamics in the LPJ Dynamic Global Vegetation Model, and used to explore fire regimes and the current impact of fire on the terrestrial carbon cycle and associated emissions of trace atmospheric constituents. The model estimates an average release of 2.24 Pg C yr<sup>−1</sup> as CO<sub>2</sub> from biomass burning during the 1980s and 1990s. Comparison with observed active fire counts shows that the model reproduces where fire occurs and can mimic broad geographic patterns in the peak fire season, although the predicted peak is 1–2 months late in some regions. Modelled fire season length is generally overestimated by about one month, but shows a realistic pattern of differences among biomes. Comparisons with remotely sensed burnt-area products indicate that the model reproduces broad geographic patterns of annual fractional burnt area over most regions, including the boreal forest, although interannual variability in the boreal zone is underestimated.

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