Biomass burning fuel consumption rates: a field measurement database

Detalhes bibliográficos
Autor(a) principal: van Leeuwen, Thijs Thomas
Data de Publicação: 2014
Outros Autores: van der Werf, Guido R., Hoffmann, Anja A., Detmers, Rob G., Rücker, Gernot, French, Nancy H. F., Archibald, Sally, Carvalho Junior, João Andrade de [UNESP], Cook, Garry D., Groot, William J. de, Hély, C., Kasischke, Eric S., Kloster, Silvia, McCarty, Jessica L., Pettinari, Maria Lucrecia, Savadogo, Patrice, Alvarado, Ernesto C., Boschetti, Luigi, Manuri, Solichin, Meyer, C. P., Siegert, Florian, Trollope, Lynne A., Trollope, Winston S. W.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://www.biogeosciences.net/11/7305/2014/bg-11-7305-2014.html
http://hdl.handle.net/11449/130193
Resumo: Landscape fires show large variability in the amount of biomass or fuel consumed per unit area burned. Fuel consumption (FC) depends 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 is usually modeled or taken selectively from the literature. We compiled the peerreviewed literature on FC for various biomes and fuel categories to understand FC and its variability better, and to provide a database that can be used to constrain biogeochemical models with fire modules. We compiled in total 77 studies covering 11 biomes including savanna (15 studies, average FC of 4.6 t DM (dry matter) ha 1 with a standard deviation of 2.2), tropical forest (n = 19, FC = 126 +/- 77), temperate forest (n = 12, FC = 58 +/- 72), boreal forest (n = 16, FC = 35 +/- 24), pasture (n = 4, FC = 28 +/- 9.3), shifting cultivation (n = 2, FC = 23, with a range of 4.0-43), crop residue (n = 4, FC = 6.5 +/- 9.0), chaparral (n = 3, FC = 27 +/- 19), tropical peatland (n = 4, FC = 314 +/- 196), boreal peatland (n = 2, FC = 42 [42-43]), and tundra (n = 1, FC = 40). Within biomes the regional variability in the number of measurements was sometimes large, with e. g. only three measurement locations in boreal Russia and 35 sites in North America. Substantial regional differences in FC were found within the defined biomes: for example, FC of temperate pine forests in the USA was 37% lower 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, not only between biomes but also within biomes and fuel classes. This implies that substantial uncertainties are associated with using biome-averaged values to represent FC for whole biomes. Comparing the compiled FC values with co-located Global Fire Emissions Database version 3 (GFED3) FC indicates that modeling studies that aim to represent variability in FC also within biomes, still require improvements as they have difficulty in representing the dynamics governing FC.
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spelling Biomass burning fuel consumption rates: a field measurement databaseLandscape fires show large variability in the amount of biomass or fuel consumed per unit area burned. Fuel consumption (FC) depends 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 is usually modeled or taken selectively from the literature. We compiled the peerreviewed literature on FC for various biomes and fuel categories to understand FC and its variability better, and to provide a database that can be used to constrain biogeochemical models with fire modules. We compiled in total 77 studies covering 11 biomes including savanna (15 studies, average FC of 4.6 t DM (dry matter) ha 1 with a standard deviation of 2.2), tropical forest (n = 19, FC = 126 +/- 77), temperate forest (n = 12, FC = 58 +/- 72), boreal forest (n = 16, FC = 35 +/- 24), pasture (n = 4, FC = 28 +/- 9.3), shifting cultivation (n = 2, FC = 23, with a range of 4.0-43), crop residue (n = 4, FC = 6.5 +/- 9.0), chaparral (n = 3, FC = 27 +/- 19), tropical peatland (n = 4, FC = 314 +/- 196), boreal peatland (n = 2, FC = 42 [42-43]), and tundra (n = 1, FC = 40). Within biomes the regional variability in the number of measurements was sometimes large, with e. g. only three measurement locations in boreal Russia and 35 sites in North America. Substantial regional differences in FC were found within the defined biomes: for example, FC of temperate pine forests in the USA was 37% lower 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, not only between biomes but also within biomes and fuel classes. This implies that substantial uncertainties are associated with using biome-averaged values to represent FC for whole biomes. Comparing the compiled FC values with co-located Global Fire Emissions Database version 3 (GFED3) FC indicates that modeling studies that aim to represent variability in FC also within biomes, still require improvements as they have difficulty in representing the dynamics governing FC.Vrije Universiteit Amsterdam, Faculty of Earth and Life SciencesMichigan Technological University, Michigan Tech Research InstituteUniversity of the Witwatersrand, School of Animal, Plant and Environmental SciencesUniversité Montpellier, Centre de Bio-Archéologie et d'Écologie, Paléoenvironnements et Chronoécologie, Institut de BotaniqueUniversity of Maryland, Department of Geographical SciencesUniversidad de Alcalá, Environmental Remote Sensing Research Group, Department of Geology, Geography and EnvironmentUniversity of Washington, School of Environmental and Forest SciencesUniversity of Idaho, College of Natural ResourcesThe Australian National University, Fenner School of Environment and SocietyLudwig Maximilian University, Biology Department II, GeoBio CenterUniversidade Estadual Paulista, Departamento de Energia, Faculdade de Engenharia de GuaratinguetáCopernicus Gesellschaft MbhVrije Universiteit AmsterdamIndependent Expert for Integrated Fire and Natural Resource ManagementNetherlands Institute for Space ResearchZEBRIS GbRMichigan Technological UniversityCouncil for Scientific and Industrial ResearchUniversity of the WitwatersrandUniversidade Estadual Paulista (Unesp)CSIRO Land and WaterCanadian Forest ServiceUniversité Montpellier 2University of MarylandMax Planck Institute for MeteorologyUniversidad de AlcaláWorld Agroforestry CentreUniversity of WashingtonUniversity of IdahoThe Australian National UniversityCSIRO Marine and Atmospheric ResearchLudwig Maximilian UniversityWorking On Fire Internationalvan Leeuwen, Thijs Thomasvan der Werf, Guido R.Hoffmann, Anja A.Detmers, Rob G.Rücker, GernotFrench, Nancy H. F.Archibald, SallyCarvalho Junior, João Andrade de [UNESP]Cook, Garry D.Groot, William J. deHély, C.Kasischke, Eric S.Kloster, SilviaMcCarty, Jessica L.Pettinari, Maria LucreciaSavadogo, PatriceAlvarado, Ernesto C.Boschetti, LuigiManuri, SolichinMeyer, C. P.Siegert, FlorianTrollope, Lynne A.Trollope, Winston S. W.2015-11-03T15:30:06Z2015-11-03T15:30:06Z2014-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article7305-7329application/pdfhttp://www.biogeosciences.net/11/7305/2014/bg-11-7305-2014.htmlBiogeosciences. Gottingen: Copernicus Gesellschaft Mbh, v. 11, n. 24, p. 7305-7329, 2014.1726-4170http://hdl.handle.net/11449/13019310.5194/bg-11-7305-2014WOS:000347959800010WOS000347959800010.pdfWeb of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengBiogeosciences3.4412,072info:eu-repo/semantics/openAccess2023-11-20T06:12:17Zoai:repositorio.unesp.br:11449/130193Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462023-11-20T06:12:17Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Biomass burning fuel consumption rates: a field measurement database
title Biomass burning fuel consumption rates: a field measurement database
spellingShingle Biomass burning fuel consumption rates: a field measurement database
van Leeuwen, Thijs Thomas
title_short Biomass burning fuel consumption rates: a field measurement database
title_full Biomass burning fuel consumption rates: a field measurement database
title_fullStr Biomass burning fuel consumption rates: a field measurement database
title_full_unstemmed Biomass burning fuel consumption rates: a field measurement database
title_sort Biomass burning fuel consumption rates: a field measurement database
author van Leeuwen, Thijs Thomas
author_facet van Leeuwen, Thijs Thomas
van der Werf, Guido R.
Hoffmann, Anja A.
Detmers, Rob G.
Rücker, Gernot
French, Nancy H. F.
Archibald, Sally
Carvalho Junior, João Andrade de [UNESP]
Cook, Garry D.
Groot, William J. de
Hély, C.
Kasischke, Eric S.
Kloster, Silvia
McCarty, Jessica L.
Pettinari, Maria Lucrecia
Savadogo, Patrice
Alvarado, Ernesto C.
Boschetti, Luigi
Manuri, Solichin
Meyer, C. P.
Siegert, Florian
Trollope, Lynne A.
Trollope, Winston S. W.
author_role author
author2 van der Werf, Guido R.
Hoffmann, Anja A.
Detmers, Rob G.
Rücker, Gernot
French, Nancy H. F.
Archibald, Sally
Carvalho Junior, João Andrade de [UNESP]
Cook, Garry D.
Groot, William J. de
Hély, C.
Kasischke, Eric S.
Kloster, Silvia
McCarty, Jessica L.
Pettinari, Maria Lucrecia
Savadogo, Patrice
Alvarado, Ernesto C.
Boschetti, Luigi
Manuri, Solichin
Meyer, C. P.
Siegert, Florian
Trollope, Lynne A.
Trollope, Winston S. W.
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Vrije Universiteit Amsterdam
Independent Expert for Integrated Fire and Natural Resource Management
Netherlands Institute for Space Research
ZEBRIS GbR
Michigan Technological University
Council for Scientific and Industrial Research
University of the Witwatersrand
Universidade Estadual Paulista (Unesp)
CSIRO Land and Water
Canadian Forest Service
Université Montpellier 2
University of Maryland
Max Planck Institute for Meteorology
Universidad de Alcalá
World Agroforestry Centre
University of Washington
University of Idaho
The Australian National University
CSIRO Marine and Atmospheric Research
Ludwig Maximilian University
Working On Fire International
dc.contributor.author.fl_str_mv van Leeuwen, Thijs Thomas
van der Werf, Guido R.
Hoffmann, Anja A.
Detmers, Rob G.
Rücker, Gernot
French, Nancy H. F.
Archibald, Sally
Carvalho Junior, João Andrade de [UNESP]
Cook, Garry D.
Groot, William J. de
Hély, C.
Kasischke, Eric S.
Kloster, Silvia
McCarty, Jessica L.
Pettinari, Maria Lucrecia
Savadogo, Patrice
Alvarado, Ernesto C.
Boschetti, Luigi
Manuri, Solichin
Meyer, C. P.
Siegert, Florian
Trollope, Lynne A.
Trollope, Winston S. W.
description Landscape fires show large variability in the amount of biomass or fuel consumed per unit area burned. Fuel consumption (FC) depends 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 is usually modeled or taken selectively from the literature. We compiled the peerreviewed literature on FC for various biomes and fuel categories to understand FC and its variability better, and to provide a database that can be used to constrain biogeochemical models with fire modules. We compiled in total 77 studies covering 11 biomes including savanna (15 studies, average FC of 4.6 t DM (dry matter) ha 1 with a standard deviation of 2.2), tropical forest (n = 19, FC = 126 +/- 77), temperate forest (n = 12, FC = 58 +/- 72), boreal forest (n = 16, FC = 35 +/- 24), pasture (n = 4, FC = 28 +/- 9.3), shifting cultivation (n = 2, FC = 23, with a range of 4.0-43), crop residue (n = 4, FC = 6.5 +/- 9.0), chaparral (n = 3, FC = 27 +/- 19), tropical peatland (n = 4, FC = 314 +/- 196), boreal peatland (n = 2, FC = 42 [42-43]), and tundra (n = 1, FC = 40). Within biomes the regional variability in the number of measurements was sometimes large, with e. g. only three measurement locations in boreal Russia and 35 sites in North America. Substantial regional differences in FC were found within the defined biomes: for example, FC of temperate pine forests in the USA was 37% lower 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, not only between biomes but also within biomes and fuel classes. This implies that substantial uncertainties are associated with using biome-averaged values to represent FC for whole biomes. Comparing the compiled FC values with co-located Global Fire Emissions Database version 3 (GFED3) FC indicates that modeling studies that aim to represent variability in FC also within biomes, still require improvements as they have difficulty in representing the dynamics governing FC.
publishDate 2014
dc.date.none.fl_str_mv 2014-01-01
2015-11-03T15:30:06Z
2015-11-03T15:30:06Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://www.biogeosciences.net/11/7305/2014/bg-11-7305-2014.html
Biogeosciences. Gottingen: Copernicus Gesellschaft Mbh, v. 11, n. 24, p. 7305-7329, 2014.
1726-4170
http://hdl.handle.net/11449/130193
10.5194/bg-11-7305-2014
WOS:000347959800010
WOS000347959800010.pdf
url http://www.biogeosciences.net/11/7305/2014/bg-11-7305-2014.html
http://hdl.handle.net/11449/130193
identifier_str_mv Biogeosciences. Gottingen: Copernicus Gesellschaft Mbh, v. 11, n. 24, p. 7305-7329, 2014.
1726-4170
10.5194/bg-11-7305-2014
WOS:000347959800010
WOS000347959800010.pdf
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Biogeosciences
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dc.publisher.none.fl_str_mv Copernicus Gesellschaft Mbh
publisher.none.fl_str_mv Copernicus Gesellschaft Mbh
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