Hantson S. auteur aut IRD Arneth A. auteur aut IRD Harrison S. P. auteur aut IRD Kelley D. I. auteur aut IRD Prentice I. C. auteur aut IRD Rabin S. S. auteur aut IRD Archibald S. auteur aut IRD Mouillot Florent auteur aut IRD Arnold S. R. auteur aut IRD Artaxo P. auteur aut IRD Bachelet D. auteur aut IRD Ciais P. auteur aut IRD Forrest M. auteur aut IRD Friedlingstein P. auteur aut IRD Hickler T. auteur aut IRD Kaplan J. O. auteur aut IRD Kloster S. auteur aut IRD Knorr W. auteur aut IRD Lasslop G. auteur aut IRD Li F. auteur aut IRD Mangeon S. auteur aut IRD Melton J. R. auteur aut IRD Meyn A. auteur aut IRD Sitch S. auteur aut IRD Spessa A. auteur aut IRD van der Werf G. R. auteur aut IRD Voulgarakis A. auteur aut IRD Yue C. auteur aut IRD text journalArticle eng text/pdf reformatted digital access Biomass burning impacts vegetation dynamics, biogeochemical cycling, atmospheric chemistry, and climate, with sometimes deleterious socio-economic impacts. Under future climate projections it is often expected that the risk of wildfires will increase. Our ability to predict the magnitude and geographic pattern of future fire impacts rests on our ability to model fire regimes, using either well-founded empirical relationships or process-based models with good predictive skill. While a large variety of models exist today, it is still unclear which type of model or degree of complexity is required to model fire adequately at regional to global scales. This is the central question underpinning the creation of the Fire Model Intercomparison Project (FireMIP), an international initiative to compare and evaluate existing global fire models against benchmark data sets for present-day and historical conditions. In this paper we review how fires have been represented in fire-enabled dynamic global vegetation models (DGVMs) and give an overview of the current state of the art in fire-regime modelling. We indicate which challenges still remain in global fire modelling and stress the need for a comprehensive model evaluation and outline what lessons may be learned from FireMIP. specialized MONDE 082 020 021 13 11 3359-3375 2016 1726-4170 https://www.documentation.ird.fr/hor/fdi:010067663 10.5194/bg-13-3359-2016 1726-4170 [F B010067663] https://www.documentation.ird.fr/hor/fdi:010067663 https://horizon.documentation.ird.fr/exl-doc/pleins_textes/divers16-08/010067663.pdf IRD - Base Horizon / Pleins textes 2016-09-05 2017-08-23 fdi:010067663 fre