Updated Land Use and Land Cover Information Improves Biomass Burning Emission Estimates
Biomass burning (BB) emissions negatively impact the biosphere and human lives. Orbital remote sensing and modelling are used to estimate BB emissions on regional to global scales, but these estimates are subject to errors related to the parameters, data, and methods available. For example, emission...
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Published in | Fire (Basel, Switzerland) Vol. 6; no. 11; p. 426 |
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Format | Journal Article |
Language | English |
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Abstract | Biomass burning (BB) emissions negatively impact the biosphere and human lives. Orbital remote sensing and modelling are used to estimate BB emissions on regional to global scales, but these estimates are subject to errors related to the parameters, data, and methods available. For example, emission factors (mass emitted by species during BB per mass of dry matter burned) are based on land use and land cover (LULC) classifications that vary considerably across products. In this work, we evaluate how BB emissions vary in the PREP-CHEM-SRC emission estimator tool (version 1.8.3) when it is run with original LULC data from MDC12Q1 (collection 5.1) and newer LULC data from MapBiomas (collection 6.0). We compare the results using both datasets in the Brazilian Amazon and Cerrado biomes during the 2002–2020 time series. A major reallocation of emissions occurs within Brazil when using the MapBiomas product, with emissions decreasing by 788 Gg (−1.91% year−1) in the Amazon and emissions increasing by 371 Gg (2.44% year−1) in the Cerrado. The differences identified are mostly associated with the better capture of the deforestation process in the Amazon and forest formations in Northern Cerrado with the MapBiomas product, as emissions in forest-related LULCs decreased by 5260 Gg in the Amazon biome and increased by 1676 Gg in the Cerrado biome. This is an important improvement to PREP-CHEM-SRC, which could be considered the tool to build South America’s official BB emission inventory and to provide a basis for setting emission reduction targets and assessing the effectiveness of mitigation strategies. |
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AbstractList | Biomass burning (BB) emissions negatively impact the biosphere and human lives. Orbital remote sensing and modelling are used to estimate BB emissions on regional to global scales, but these estimates are subject to errors related to the parameters, data, and methods available. For example, emission factors (mass emitted by species during BB per mass of dry matter burned) are based on land use and land cover (LULC) classifications that vary considerably across products. In this work, we evaluate how BB emissions vary in the PREP-CHEM-SRC emission estimator tool (version 1.8.3) when it is run with original LULC data from MDC12Q1 (collection 5.1) and newer LULC data from MapBiomas (collection 6.0). We compare the results using both datasets in the Brazilian Amazon and Cerrado biomes during the 2002–2020 time series. A major reallocation of emissions occurs within Brazil when using the MapBiomas product, with emissions decreasing by 788 Gg (−1.91% year−1) in the Amazon and emissions increasing by 371 Gg (2.44% year−1) in the Cerrado. The differences identified are mostly associated with the better capture of the deforestation process in the Amazon and forest formations in Northern Cerrado with the MapBiomas product, as emissions in forest-related LULCs decreased by 5260 Gg in the Amazon biome and increased by 1676 Gg in the Cerrado biome. This is an important improvement to PREP-CHEM-SRC, which could be considered the tool to build South America’s official BB emission inventory and to provide a basis for setting emission reduction targets and assessing the effectiveness of mitigation strategies. Biomass burning (BB) emissions negatively impact the biosphere and human lives. Orbital remote sensing and modelling are used to estimate BB emissions on regional to global scales, but these estimates are subject to errors related to the parameters, data, and methods available. For example, emission factors (mass emitted by species during BB per mass of dry matter burned) are based on land use and land cover (LULC) classifications that vary considerably across products. In this work, we evaluate how BB emissions vary in the PREP-CHEM-SRC emission estimator tool (version 1.8.3) when it is run with original LULC data from MDC12Q1 (collection 5.1) and newer LULC data from MapBiomas (collection 6.0). We compare the results using both datasets in the Brazilian Amazon and Cerrado biomes during the 2002–2020 time series. A major reallocation of emissions occurs within Brazil when using the MapBiomas product, with emissions decreasing by 788 Gg (−1.91% year[sup.−1]) in the Amazon and emissions increasing by 371 Gg (2.44% year[sup.−1]) in the Cerrado. The differences identified are mostly associated with the better capture of the deforestation process in the Amazon and forest formations in Northern Cerrado with the MapBiomas product, as emissions in forest-related LULCs decreased by 5260 Gg in the Amazon biome and increased by 1676 Gg in the Cerrado biome. This is an important improvement to PREP-CHEM-SRC, which could be considered the tool to build South America’s official BB emission inventory and to provide a basis for setting emission reduction targets and assessing the effectiveness of mitigation strategies. Biomass burning (BB) emissions negatively impact the biosphere and human lives. Orbital remote sensing and modelling are used to estimate BB emissions on regional to global scales, but these estimates are subject to errors related to the parameters, data, and methods available. For example, emission factors (mass emitted by species during BB per mass of dry matter burned) are based on land use and land cover (LULC) classifications that vary considerably across products. In this work, we evaluate how BB emissions vary in the PREP-CHEM-SRC emission estimator tool (version 1.8.3) when it is run with original LULC data from MDC12Q1 (collection 5.1) and newer LULC data from MapBiomas (collection 6.0). We compare the results using both datasets in the Brazilian Amazon and Cerrado biomes during the 2002–2020 time series. A major reallocation of emissions occurs within Brazil when using the MapBiomas product, with emissions decreasing by 788 Gg (−1.91% year⁻¹) in the Amazon and emissions increasing by 371 Gg (2.44% year⁻¹) in the Cerrado. The differences identified are mostly associated with the better capture of the deforestation process in the Amazon and forest formations in Northern Cerrado with the MapBiomas product, as emissions in forest-related LULCs decreased by 5260 Gg in the Amazon biome and increased by 1676 Gg in the Cerrado biome. This is an important improvement to PREP-CHEM-SRC, which could be considered the tool to build South America’s official BB emission inventory and to provide a basis for setting emission reduction targets and assessing the effectiveness of mitigation strategies. |
Audience | Academic |
Author | Mataveli, Guilherme Pereira, Gabriel Jones, Matthew W. Aragão, Luiz E. O. C. Sanchez, Alber de Oliveira, Gabriel Freitas, Saulo R. |
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Cites_doi | 10.5194/gmd-15-8411-2022 10.1038/s41467-022-33680-4 10.3390/f12091217 10.1038/s41467-020-20482-9 10.3390/f11080829 10.5194/gmd-4-419-2011 10.3390/rs11070764 10.3390/rs14020313 10.1016/j.rse.2022.112917 10.4996/fireecology.0701024 10.1007/BF00137988 10.5194/bg-13-3717-2016 10.3390/f11090988 10.5194/acp-14-6643-2014 10.5194/acp-19-8523-2019 10.3390/rs12233864 10.1029/2005JD006318 10.1111/gcb.16513 10.3390/rs11192254 10.3390/rs12172735 10.5194/essd-9-697-2017 10.5194/bg-9-527-2012 10.1088/1748-9326/acd408 10.3390/rs12223827 10.1111/1365-2664.14262 10.1016/j.flora.2020.151613 10.1029/2002GL015487 10.1016/j.rse.2016.02.054 10.5194/acp-11-4039-2011 10.1016/j.jenvman.2022.117185 10.5194/acp-18-5321-2018 10.3390/rs12183062 10.3390/fire6070277 10.1016/j.envpol.2017.04.085 10.1038/s41561-020-0586-1 10.1016/j.scitotenv.2021.146739 10.1016/j.scitotenv.2020.139755 10.3390/fire5030077 10.1080/10643389.2011.604248 10.1080/2150704X.2021.1875147 10.1016/j.rse.2022.113237 10.11606/eISSN.2236-2878.rdg.2021.174236 10.5194/acp-16-6961-2016 10.1007/s10584-020-02654-0 10.1175/JCLI-D-21-0817.1 10.1111/geb.13577 10.5194/gmd-15-8085-2022 10.5194/bg-19-2059-2022 10.1111/gcb.16386 10.1007/s40726-019-00125-4 10.1038/s41598-019-53284-1 10.1016/j.atmosenv.2022.118954 10.3390/rs12071135 10.1016/j.rse.2009.08.016 10.1023/A:1010933404324 10.5194/acp-20-969-2020 |
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References | Keywood (ref_36) 2011; 43 Ichoku (ref_24) 2014; 14 ref_58 ref_57 ref_56 ref_10 ref_54 Randerson (ref_12) 2022; 15 ref_52 Schill (ref_1) 2020; 13 ref_19 ref_18 Yadav (ref_38) 2017; 227 ref_17 ref_15 ref_59 Andela (ref_13) 2016; 13 Li (ref_4) 2022; 35 Kaiser (ref_23) 2012; 9 Friedl (ref_34) 2010; 114 Pereira (ref_32) 2016; 16 ref_22 ref_20 Mataveli (ref_43) 2021; 12 Saito (ref_29) 2022; 19 Silveira (ref_48) 2022; 31 Bustamante (ref_51) 2022; 59 ref_27 Pan (ref_14) 2020; 20 ref_26 Ferrada (ref_25) 2022; 15 Johnston (ref_8) 2019; 5 Seiler (ref_16) 1980; 2 Akagi (ref_30) 2011; 11 ref_35 ref_33 Fawcett (ref_49) 2023; 29 Randerson (ref_11) 2017; 9 Giglio (ref_55) 2016; 178 Prosperi (ref_37) 2020; 161 Pivello (ref_39) 2011; 7 Freitas (ref_31) 2011; 4 Andreae (ref_28) 2019; 19 Rodrigues (ref_50) 2022; 28 ref_47 Wooster (ref_21) 2002; 29 ref_46 Thornhill (ref_6) 2018; 18 ref_45 ref_44 ref_42 ref_41 ref_40 ref_3 ref_2 Breiman (ref_53) 2001; 45 ref_9 ref_5 ref_7 |
References_xml | – volume: 15 start-page: 8411 year: 2022 ident: ref_12 article-title: Global biomass burning fuel consumption and emissions at 500 m spatial resolution based on the Global Fire Emissions Database (GFED) publication-title: Geosci. Model Dev. doi: 10.5194/gmd-15-8411-2022 – ident: ref_15 doi: 10.1038/s41467-022-33680-4 – ident: ref_42 doi: 10.3390/f12091217 – ident: ref_2 doi: 10.1038/s41467-020-20482-9 – ident: ref_56 doi: 10.3390/f11080829 – volume: 4 start-page: 419 year: 2011 ident: ref_31 article-title: PREP-CHEM-SRC—1.0: A preprocessor of trace gas and aerosol emission fields for regional and global atmospheric chemistry models publication-title: Geosci. Model Dev. doi: 10.5194/gmd-4-419-2011 – ident: ref_10 doi: 10.3390/rs11070764 – ident: ref_3 doi: 10.3390/rs14020313 – ident: ref_19 doi: 10.1016/j.rse.2022.112917 – volume: 7 start-page: 24 year: 2011 ident: ref_39 article-title: The Use of Fire in the Cerrado and Amazonian Rainforests of Brazil: Past and Present publication-title: Fire Ecol. doi: 10.4996/fireecology.0701024 – volume: 2 start-page: 207 year: 1980 ident: ref_16 article-title: Estimates of gross and net fluxes of carbon between the biosphere and the atmosphere from biomass burning publication-title: Clim. Chang. doi: 10.1007/BF00137988 – volume: 13 start-page: 3717 year: 2016 ident: ref_13 article-title: Biomass burning fuel consumption dynamics in the tropics and subtropics assessed from satellite publication-title: Biogeosciences doi: 10.5194/bg-13-3717-2016 – ident: ref_47 doi: 10.3390/f11090988 – volume: 14 start-page: 6643 year: 2014 ident: ref_24 article-title: Global top-down smoke-aerosol emissions estimation using satellite fire radiative power measurements publication-title: Atmos. Chem. Phys. doi: 10.5194/acp-14-6643-2014 – volume: 19 start-page: 8523 year: 2019 ident: ref_28 article-title: Emission of trace gases and aerosols from biomass burning—An updated assessment publication-title: Atmos. Chem. Phys. doi: 10.5194/acp-19-8523-2019 – ident: ref_17 doi: 10.3390/rs12233864 – ident: ref_22 doi: 10.1029/2005JD006318 – ident: ref_41 – volume: 29 start-page: 1106 year: 2023 ident: ref_49 article-title: Declining Amazon biomass due to deforestation and subsequent degradation losses exceeding gains publication-title: Glob. Chang. Biol. doi: 10.1111/gcb.16513 – ident: ref_33 doi: 10.3390/rs11192254 – ident: ref_35 doi: 10.3390/rs12172735 – volume: 9 start-page: 697 year: 2017 ident: ref_11 article-title: Global fire emissions estimates during 1997–2016 publication-title: Earth Syst. Sci. Data doi: 10.5194/essd-9-697-2017 – volume: 9 start-page: 527 year: 2012 ident: ref_23 article-title: Biomass burning emissions estimated with a global fire assimilation system based on observed fire radiative power publication-title: Biogeosciences doi: 10.5194/bg-9-527-2012 – ident: ref_58 doi: 10.1088/1748-9326/acd408 – ident: ref_18 doi: 10.3390/rs12223827 – volume: 59 start-page: 2616 year: 2022 ident: ref_51 article-title: Spatial planning for restoration in Cerrado: Balancing the trade-offs between conservation and agriculture publication-title: J. Appl. Ecol. doi: 10.1111/1365-2664.14262 – ident: ref_40 doi: 10.1016/j.flora.2020.151613 – volume: 29 start-page: 1 year: 2002 ident: ref_21 article-title: Small-scale experimental testing of fire radiative energy for quantifying mass combusted in natural vegetation fires publication-title: Geophys. Res. Lett. doi: 10.1029/2002GL015487 – volume: 178 start-page: 31 year: 2016 ident: ref_55 article-title: The collection 6 MODIS active fire detection algorithm and fire products publication-title: Remote Sens. Environ. doi: 10.1016/j.rse.2016.02.054 – volume: 11 start-page: 4039 year: 2011 ident: ref_30 article-title: Emission factors for open and domestic biomass burning for use in atmospheric models publication-title: Atmos. Chem. Phys. doi: 10.5194/acp-11-4039-2011 – ident: ref_52 doi: 10.1016/j.jenvman.2022.117185 – volume: 18 start-page: 5321 year: 2018 ident: ref_6 article-title: The effect of South American biomass burning aerosol emissions on the regional climate publication-title: Atmos. Chem. Phys. doi: 10.5194/acp-18-5321-2018 – ident: ref_45 doi: 10.3390/rs12183062 – ident: ref_20 doi: 10.3390/fire6070277 – volume: 227 start-page: 414 year: 2017 ident: ref_38 article-title: Biomass burning in Indo-China peninsula and its impacts on regional air quality and global climate change-a review publication-title: Environ. Pollut. doi: 10.1016/j.envpol.2017.04.085 – volume: 13 start-page: 422 year: 2020 ident: ref_1 article-title: Widespread biomass burning smoke throughout the remote troposphere publication-title: Nat. Geosci. doi: 10.1038/s41561-020-0586-1 – ident: ref_7 doi: 10.1016/j.scitotenv.2021.146739 – ident: ref_9 doi: 10.1016/j.scitotenv.2020.139755 – ident: ref_59 doi: 10.3390/fire5030077 – volume: 43 start-page: 40 year: 2011 ident: ref_36 article-title: Fire in the Air: Biomass Burning Impacts in a Changing Climate publication-title: Crit. Rev. Environ. Sci. Technol. doi: 10.1080/10643389.2011.604248 – volume: 12 start-page: 79 year: 2021 ident: ref_43 article-title: Deforestation and land use and land cover changes in protected areas of the Brazilian Cerrado: Impacts on the fire-driven emissions of fine particulate aerosols pollutants publication-title: Remote Sens. Lett. doi: 10.1080/2150704X.2021.1875147 – ident: ref_26 doi: 10.1016/j.rse.2022.113237 – ident: ref_44 – ident: ref_57 doi: 10.11606/eISSN.2236-2878.rdg.2021.174236 – volume: 16 start-page: 6961 year: 2016 ident: ref_32 article-title: Assessment of fire emission inventories during the South American Biomass Burning Analysis (SAMBBA) experiment publication-title: Atmos. Chem. Phys. doi: 10.5194/acp-16-6961-2016 – volume: 161 start-page: 415 year: 2020 ident: ref_37 article-title: New estimates of greenhouse gas emissions from biomass burning and peat fires using MODIS Collection 6 burned areas publication-title: Clim. Chang. doi: 10.1007/s10584-020-02654-0 – volume: 35 start-page: 3619 year: 2022 ident: ref_4 article-title: Fire Aerosols Slow Down the Global Water Cycle publication-title: J. Clim. doi: 10.1175/JCLI-D-21-0817.1 – volume: 31 start-page: 2026 year: 2022 ident: ref_48 article-title: Amazon fires in the 21st century: The year of 2020 in evidence publication-title: Glob. Ecol. Biogeogr. doi: 10.1111/geb.13577 – volume: 15 start-page: 8085 year: 2022 ident: ref_25 article-title: Introducing the VIIRS-based Fire Emission Inventory version 0 (VFEIv0) publication-title: Geosci. Model Dev. doi: 10.5194/gmd-15-8085-2022 – volume: 19 start-page: 2059 year: 2022 ident: ref_29 article-title: Sensitivity of biomass burning emissions estimates to land surface information publication-title: Biogeosciences doi: 10.5194/bg-19-2059-2022 – volume: 28 start-page: 6807 year: 2022 ident: ref_50 article-title: Cerrado deforestation threatens regional climate and water availability for agriculture and ecosystems publication-title: Glob. Chang. Biol. doi: 10.1111/gcb.16386 – volume: 5 start-page: 353 year: 2019 ident: ref_8 article-title: How Harmful Is Particulate Matter Emitted from Biomass Burning? A Thailand Perspective publication-title: Curr. Pollut. Rep. doi: 10.1007/s40726-019-00125-4 – ident: ref_54 – ident: ref_5 doi: 10.1038/s41598-019-53284-1 – ident: ref_27 doi: 10.1016/j.atmosenv.2022.118954 – ident: ref_46 doi: 10.3390/rs12071135 – volume: 114 start-page: 168 year: 2010 ident: ref_34 article-title: MODIS Collection 5 global land cover: Algorithm refinements and characterization of new datasets publication-title: Remote Sens. Environ. doi: 10.1016/j.rse.2009.08.016 – volume: 45 start-page: 5 year: 2001 ident: ref_53 article-title: Random Forests publication-title: Mach. Learn. doi: 10.1023/A:1010933404324 – volume: 20 start-page: 969 year: 2020 ident: ref_14 article-title: Six global biomass burning emission datasets: Intercomparison and application in one global aerosol model publication-title: Atmos. Chem. Phys. doi: 10.5194/acp-20-969-2020 |
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SubjectTerms | Accuracy Aerosols Amazon Amazonia Artificial intelligence Biomass Biomass burning Biomes Biosphere Brazil Burning Cerrado Climate change data collection Deforestation Dry matter Ecosystems Emission analysis Emission inventories Emissions Emissions control Estimates forests Global temperature changes humans inventories Land cover Land use land use and land cover land use and land cover maps modelling Remote sensing Sensors South America Time series time series analysis |
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Title | Updated Land Use and Land Cover Information Improves Biomass Burning Emission Estimates |
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