Van Leeuwen, TTVan der Werf, GRHoffmann, AADetmers, RGRücker, GFrench, NHFArchibald, SCarvalho Jr, JACook, GDDe Groot, WJHély, CKasischke, ESKloster, SMcCarty, JLPettinari, MLSavadogo, PAlvarado, ECBoschetti, LManuri, SMeyer, CPSiegert, FTrollope, LATrollope, WSW2014-11-112014-11-112014Van Leeuwen, T.T, Van der Werf, G.R, Hoffmann, A.A, Detmers, R.G, Rücker, G, French, N.H.F, Archibald, S, Carvalho Jr, J.A, Cook, G.D, De Groot, W.J, Hély, C, Kasischke, E.S, Kloster, S, McCarty, J.L, Pettinari, M.L, Savadogo, P, Alvarado, E.C, Boschetti, L, Manuri, S, Meyer, C.P, Siegert, F, Trollope, L.A and Trollope, W.S.W. 2014. Biomass burning fuel consumption rates: a field measurement database. Biogeosciences Discussions, vol. 11, pp 8115–81801810-6277http://www.biogeosciences-discuss.net/11/8115/2014/bgd-11-8115-2014.pdfhttp://hdl.handle.net/10204/7767Copyright: 2014 European Geosciences Union (EGU). This is an OA journal. The journal authorizes the publication of the information herewith contained. Published in Biogeosciences Discussions, vol. 11, pp 8115–8180Landscape fires show large variability in the amount of biomass or fuel consumed per unit area burned. These fuel consumption (FC) rates depend on the biomass available to burn and the fraction of the biomass that is actually combusted, and can be combined with estimates of area burned to assess emissions. While burned area can be detected from space and estimates are becoming more reliable due to improved algorithms and sensors, FC rates are either modeled or taken selectively from the literature. We compiled the peer-reviewed literature on FC rates for various biomes and fuel categories to better understand FC rates and variability, and to provide a database that can be used to constrain biogeochemical models with fire modules. We compiled in total 76 studies covering 10 biomes including savanna (15 studies, average FC of 4.6 t DM (dry matter) ha(sup-1)), tropical forest (n = 19, FC = 126), temperate forest (n = 11, FC = 93), boreal forest (n = 16, FC = 39), pasture (n = 6, FC = 28), crop residue (n = 4, FC = 6.5), chaparral (n = 2, FC = 32), tropical peatland (n = 4, FC = 314), boreal peatland (n = 2, FC = 42), and tundra (n = 1, FC = 40). Within biomes the regional variability in the number of measurements was sometimes large, with e.g. only 3 measurement locations in boreal Russia and 35 sites in North America. Substantial regional differences were found within the defined biomes: for example FC rates of temperate pine forests in the USA were 38% higher than Australian forests dominated by eucalypt trees. Besides showing the differences between biomes, FC estimates were also grouped into different fuel classes. Our results highlight the large variability in FC rates, not only between biomes but also within biomes and fuel classes. This implies that care should be taken with using averaged values, and our comparison with FC rates from GFED3 indicates that also modeling studies have difficulty in representing the dynamics governing FC.enLandscape firesBiomass fuel consumptionSavanna firesForrestsBiomass burning fuel consumption rates: a field measurement databaseArticleVan Leeuwen, T., Van der Werf, G., Hoffmann, A., Detmers, R., Rücker, G., French, N., ... Trollope, W. (2014). Biomass burning fuel consumption rates: a field measurement database. http://hdl.handle.net/10204/7767Van Leeuwen, TT, GR Van der Werf, AA Hoffmann, RG Detmers, G Rücker, NHF French, S Archibald, et al "Biomass burning fuel consumption rates: a field measurement database." (2014) http://hdl.handle.net/10204/7767Van Leeuwen T, Van der Werf G, Hoffmann A, Detmers R, Rücker G, French N, et al. Biomass burning fuel consumption rates: a field measurement database. 2014; http://hdl.handle.net/10204/7767.TY - Article AU - Van Leeuwen, TT AU - Van der Werf, GR AU - Hoffmann, AA AU - Detmers, RG AU - Rücker, G AU - French, NHF AU - Archibald, S AU - Carvalho Jr, JA AU - Cook, GD AU - De Groot, WJ AU - Hély, C AU - Kasischke, ES AU - Kloster, S AU - McCarty, JL AU - Pettinari, ML AU - Savadogo, P AU - Alvarado, EC AU - Boschetti, L AU - Manuri, S AU - Meyer, CP AU - Siegert, F AU - Trollope, LA AU - Trollope, WSW AB - Landscape fires show large variability in the amount of biomass or fuel consumed per unit area burned. These fuel consumption (FC) rates depend on the biomass available to burn and the fraction of the biomass that is actually combusted, and can be combined with estimates of area burned to assess emissions. While burned area can be detected from space and estimates are becoming more reliable due to improved algorithms and sensors, FC rates are either modeled or taken selectively from the literature. We compiled the peer-reviewed literature on FC rates for various biomes and fuel categories to better understand FC rates and variability, and to provide a database that can be used to constrain biogeochemical models with fire modules. We compiled in total 76 studies covering 10 biomes including savanna (15 studies, average FC of 4.6 t DM (dry matter) ha(sup-1)), tropical forest (n = 19, FC = 126), temperate forest (n = 11, FC = 93), boreal forest (n = 16, FC = 39), pasture (n = 6, FC = 28), crop residue (n = 4, FC = 6.5), chaparral (n = 2, FC = 32), tropical peatland (n = 4, FC = 314), boreal peatland (n = 2, FC = 42), and tundra (n = 1, FC = 40). Within biomes the regional variability in the number of measurements was sometimes large, with e.g. only 3 measurement locations in boreal Russia and 35 sites in North America. Substantial regional differences were found within the defined biomes: for example FC rates of temperate pine forests in the USA were 38% higher than Australian forests dominated by eucalypt trees. Besides showing the differences between biomes, FC estimates were also grouped into different fuel classes. Our results highlight the large variability in FC rates, not only between biomes but also within biomes and fuel classes. This implies that care should be taken with using averaged values, and our comparison with FC rates from GFED3 indicates that also modeling studies have difficulty in representing the dynamics governing FC. DA - 2014 DB - ResearchSpace DP - CSIR KW - Landscape fires KW - Biomass fuel consumption KW - Savanna fires KW - Forrests LK - https://researchspace.csir.co.za PY - 2014 SM - 1810-6277 T1 - Biomass burning fuel consumption rates: a field measurement database TI - Biomass burning fuel consumption rates: a field measurement database UR - http://hdl.handle.net/10204/7767 ER -