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 | Acesso ao texto completo restrito à biblioteca da Embrapa Meio Ambiente. Para informações adicionais entre em contato com cnpma.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Meio Ambiente. |
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Data corrente: |
21/07/2022 |
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Data da última atualização: |
21/07/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
GAROFALO, D. F. T.; NOVAES, R. M. L.; PAZIANOTTO, R. A. A.; MACIEL, V. G.; BRANDÃO, M.; SHIMBO, J. Z.; MATSUURA, M. I. da S. F. |
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Afiliação: |
DANILO FRANCISCO TROVO GAROFALO; RENAN MILAGRES LAGE NOVAES, CNPMA; RICARDO ANTONIO ALMEIDA PAZIANOTTO, CNPMA; VINÍCIUS GONÇALVES MACIEL; MIGUEL BRANDÃO, KTH Royal Institute of Technology; JULIA ZANIN SHIMBO, Instituto de Pesquisa Ambiental da Amazônia; MARILIA IEDA DA S F MATSUURA, CNPMA. |
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Título: |
Land-use change CO2 emissions associated with agricultural products at municipal level in Brazil. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Journal of Cleaner Production, v. 364, article 132549, 2022. |
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ISSN: |
0959-6526 |
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DOI: |
https://doi.org/10.1016/j.jclepro.2022.13254 |
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Idioma: |
Inglês |
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Conteúdo: |
Abstract: Land-use change (LUC) accounted for approximately 66% of CO2 emissions in Brazil in 2020, with significant implications for carbon footprint of Brazilian agricultural products. Accurate LUC estimates associated with agriculture are critical to carbon footprint (CF) and life cycle assessment (LCA) studies and derived measures towards low-carbon supply chains. The aim of the study was to provide direct LUC (dLUC) estimates of CO2 emissions associated with a comprehensive set of agricultural products in Brazil at municipal-level and based on spatially-explicit land conversion data, appropriate for CF and LCA studies. The effect of different dLUC modeling choices on the results are also presented. The modeling followed IPCC guidelines and improved the BRLUC method. MapBiomas spatially-explicit data, municipality-level statistics, regionalized carbon stocks and a shared responsibility approach were combined to obtain dLUC emission rates for 64 crops, plus forestry and planted pastures, in the 5,570 Brazilian municipalities, as well as at state and national levels. It will be open access at www.embrapa.br. The most recent version led to an estimated 911 Mtons of CO2 associated with agriculture in 2019, 81% of that associated with planted pastures. National level dLUC emission rates for corn, pastures, soybean and sugarcane were estimated as 2.0, 4.1, 2.3 and 0.3 tCO2.ha?1.yr?1, respectively. The dLUC emissions are highly heterogeneous across the country and land uses, ranging from positive to negative. In general, they were higher in the Amazon biome, due to deforestation, and lower in Eastern Brazil, where agricultural areas are more consolidated. The resulting data is more consistent with dLUC rationale, IPCC guidelines and PAS2050 when previous land use is known and is recommended to be used, whenever data at farm level are not available. The study also shows the strong effect of different dLUC modeling choices on results and reinforces recommendations for further mitigation options. MenosAbstract: Land-use change (LUC) accounted for approximately 66% of CO2 emissions in Brazil in 2020, with significant implications for carbon footprint of Brazilian agricultural products. Accurate LUC estimates associated with agriculture are critical to carbon footprint (CF) and life cycle assessment (LCA) studies and derived measures towards low-carbon supply chains. The aim of the study was to provide direct LUC (dLUC) estimates of CO2 emissions associated with a comprehensive set of agricultural products in Brazil at municipal-level and based on spatially-explicit land conversion data, appropriate for CF and LCA studies. The effect of different dLUC modeling choices on the results are also presented. The modeling followed IPCC guidelines and improved the BRLUC method. MapBiomas spatially-explicit data, municipality-level statistics, regionalized carbon stocks and a shared responsibility approach were combined to obtain dLUC emission rates for 64 crops, plus forestry and planted pastures, in the 5,570 Brazilian municipalities, as well as at state and national levels. It will be open access at www.embrapa.br. The most recent version led to an estimated 911 Mtons of CO2 associated with agriculture in 2019, 81% of that associated with planted pastures. National level dLUC emission rates for corn, pastures, soybean and sugarcane were estimated as 2.0, 4.1, 2.3 and 0.3 tCO2.ha?1.yr?1, respectively. The dLUC emissions are highly heterogeneous across the country and land uses, ra... Mostrar Tudo |
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Palavras-Chave: |
BRLUC method; Land occupation; Land transformation; Product environmental footprint. |
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Thesagro: |
Agricultura; Cana de Açúcar; Impacto Ambiental; Pastagem; Produção Agrícola; Soja; Uso da Terra. |
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Thesaurus Nal: |
Bioenergy; Biofuels; Carbon footprint; Land use change; Pastures; Soybeans. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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Marc: |
LEADER 03244naa a2200421 a 4500
001 2144859
005 2022-07-21
008 2022 bl uuuu u00u1 u #d
022 $a0959-6526
024 7 $ahttps://doi.org/10.1016/j.jclepro.2022.13254$2DOI
100 1 $aGAROFALO, D. F. T.
245 $aLand-use change CO2 emissions associated with agricultural products at municipal level in Brazil.$h[electronic resource]
260 $c2022
520 $aAbstract: Land-use change (LUC) accounted for approximately 66% of CO2 emissions in Brazil in 2020, with significant implications for carbon footprint of Brazilian agricultural products. Accurate LUC estimates associated with agriculture are critical to carbon footprint (CF) and life cycle assessment (LCA) studies and derived measures towards low-carbon supply chains. The aim of the study was to provide direct LUC (dLUC) estimates of CO2 emissions associated with a comprehensive set of agricultural products in Brazil at municipal-level and based on spatially-explicit land conversion data, appropriate for CF and LCA studies. The effect of different dLUC modeling choices on the results are also presented. The modeling followed IPCC guidelines and improved the BRLUC method. MapBiomas spatially-explicit data, municipality-level statistics, regionalized carbon stocks and a shared responsibility approach were combined to obtain dLUC emission rates for 64 crops, plus forestry and planted pastures, in the 5,570 Brazilian municipalities, as well as at state and national levels. It will be open access at www.embrapa.br. The most recent version led to an estimated 911 Mtons of CO2 associated with agriculture in 2019, 81% of that associated with planted pastures. National level dLUC emission rates for corn, pastures, soybean and sugarcane were estimated as 2.0, 4.1, 2.3 and 0.3 tCO2.ha?1.yr?1, respectively. The dLUC emissions are highly heterogeneous across the country and land uses, ranging from positive to negative. In general, they were higher in the Amazon biome, due to deforestation, and lower in Eastern Brazil, where agricultural areas are more consolidated. The resulting data is more consistent with dLUC rationale, IPCC guidelines and PAS2050 when previous land use is known and is recommended to be used, whenever data at farm level are not available. The study also shows the strong effect of different dLUC modeling choices on results and reinforces recommendations for further mitigation options.
650 $aBioenergy
650 $aBiofuels
650 $aCarbon footprint
650 $aLand use change
650 $aPastures
650 $aSoybeans
650 $aAgricultura
650 $aCana de Açúcar
650 $aImpacto Ambiental
650 $aPastagem
650 $aProdução Agrícola
650 $aSoja
650 $aUso da Terra
653 $aBRLUC method
653 $aLand occupation
653 $aLand transformation
653 $aProduct environmental footprint
700 1 $aNOVAES, R. M. L.
700 1 $aPAZIANOTTO, R. A. A.
700 1 $aMACIEL, V. G.
700 1 $aBRANDÃO, M.
700 1 $aSHIMBO, J. Z.
700 1 $aMATSUURA, M. I. da S. F.
773 $tJournal of Cleaner Production$gv. 364, article 132549, 2022.
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Registro original: |
Embrapa Meio Ambiente (CNPMA) |
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Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
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Registro Completo
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Biblioteca(s): |
Embrapa Territorial. |
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Data corrente: |
04/10/2011 |
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Data da última atualização: |
03/05/2019 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
MENEZES, S. J. M. da C. de; ANDRADE, R. G.; SEDIYAMA, G. C.; SOARES, V. P.; GLERIANI, J. M. |
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Afiliação: |
SADY JÚNIOR MARTINS DA COSTA DE MENEZES, UFV; RICARDO GUIMARAES ANDRADE, CNPM; GILBERTO CHOHAKU SEDIYAMA, UFV; VICENTE PAULO SOARES, UFV; JOSÉ MARINALDO GLERIANI, UFV. |
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Título: |
Estimativa dos componentes do balanço de energia e da evapotranspiração em plantios de eucalipto utilizando o algoritmo SEBAL e imagem Landsat 5 - TM. |
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Ano de publicação: |
2011 |
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Fonte/Imprenta: |
In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 15., 2011, Curitiba. Anais... São José dos Campos: INPE, 2011. |
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Páginas: |
p. 5394-5401. |
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Idioma: |
Português |
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Conteúdo: |
Climatic variables are essential for understanding the environmental conditions that influence plant growth and development. In recent years research using climatic data and remote sensing techniques in spatial and temporal analyses of the demand for water and energy in plants has been intensified. SEBAL (Surface Energy Balance Algorithms for Land) is one of the most prominent algorithms for studies involving energy flow estimates in large areas, and it can be applied with few field measurements. This work, conducted in the municipality of Santa Bárbara, Minas Gerais state, Brazil, aimed at estimating energy balance components, and therefore the evapotranspiration in eucalyptus plantations by applying the SEBAL algorithm and Landsat 5 satellite's TM sensor image. Estimates have been made for a scene from day 06/20/2003. Considering only the areas related to the seven year-old eucalyptus plantations, average values of net radiation (Rn), soil heat flux (G), sensible heat flux (H) and latent heat flux (LE) of 420.12 W m-2, 81.80 W m-2, 149.93 W m-2, 188.39 W m-2 respectively were obtained. For actual hourly evapotranspiration (ETrh), the average value obtained was 0.28 mm h-1. The estimates are consistent with literature data, however, future studies with greater experimental control should be carried out. |
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Palavras-Chave: |
Fluxos de energia; Plantio de eucalipto. |
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Thesagro: |
Sensoriamento Remoto. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/42871/1/Ricardo2-SBSR.pdf
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Marc: |
LEADER 02071nam a2200205 a 4500
001 1902358
005 2019-05-03
008 2011 bl uuuu u00u1 u #d
100 1 $aMENEZES, S. J. M. da C. de
245 $aEstimativa dos componentes do balanço de energia e da evapotranspiração em plantios de eucalipto utilizando o algoritmo SEBAL e imagem Landsat 5 - TM.
260 $aIn: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 15., 2011, Curitiba. Anais... São José dos Campos: INPE$c2011
300 $ap. 5394-5401.
520 $aClimatic variables are essential for understanding the environmental conditions that influence plant growth and development. In recent years research using climatic data and remote sensing techniques in spatial and temporal analyses of the demand for water and energy in plants has been intensified. SEBAL (Surface Energy Balance Algorithms for Land) is one of the most prominent algorithms for studies involving energy flow estimates in large areas, and it can be applied with few field measurements. This work, conducted in the municipality of Santa Bárbara, Minas Gerais state, Brazil, aimed at estimating energy balance components, and therefore the evapotranspiration in eucalyptus plantations by applying the SEBAL algorithm and Landsat 5 satellite's TM sensor image. Estimates have been made for a scene from day 06/20/2003. Considering only the areas related to the seven year-old eucalyptus plantations, average values of net radiation (Rn), soil heat flux (G), sensible heat flux (H) and latent heat flux (LE) of 420.12 W m-2, 81.80 W m-2, 149.93 W m-2, 188.39 W m-2 respectively were obtained. For actual hourly evapotranspiration (ETrh), the average value obtained was 0.28 mm h-1. The estimates are consistent with literature data, however, future studies with greater experimental control should be carried out.
650 $aSensoriamento Remoto
653 $aFluxos de energia
653 $aPlantio de eucalipto
700 1 $aANDRADE, R. G.
700 1 $aSEDIYAMA, G. C.
700 1 $aSOARES, V. P.
700 1 $aGLERIANI, J. M.
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