Registro Completo
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Biblioteca(s): |
Embrapa Agrobiologia; Embrapa Meio Ambiente; Embrapa Milho e Sorgo. |
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Data corrente: |
03/05/2017 |
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Data da última atualização: |
17/11/2017 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
NOVAES, R. M. L.; PAZIANOTTO, R. A. A.; BRANDÃO, M.; ALVES, B. J. R.; MAY, A.; MATSUURA, M. I. da S. F. |
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Afiliação: |
RENAN MILAGRES LAGE NOVAES, CNPMA; RICARDO ANTONIO ALMEIDA PAZIANOTTO, CNPMA; MIGUEL BRANDÃO, INSTITUTE OF SOIL SCIENCE AND PLANT CULTIVATION, PULAWY, POLAND; BRUNO JOSE RODRIGUES ALVES, CNPAB; ANDRE MAY, CNPMS; MARILIA IEDA DA S F MATSUURA, CNPMA. |
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Título: |
Estimating 20-year land-use change and derived CO2 emissions associated to crops, pasture and forestry in Brazil and each of its 27 states. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
Global Change Biology, v. 23, n. 9, p. 3716-3728, 2017. |
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DOI: |
10.1111/gcb.13708 |
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Idioma: |
Inglês |
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Conteúdo: |
Land use change (LUC) in Brazil has important implications on global climate change, ecosystem services and biodiversity, and agricultural expansion plays a critical role in this process. Concerns over these issues have led to the need for estimating the magnitude and impacts associated to that, which are increasingly reported in the environmental assessment of products. Currently, there is an extensive debate on which methods are more appropriate for estimating LUC and related emissions and regionalized estimates are lacking for Brazil, which is a world leader in agricultural production (e.g. food, fibers and bioenergy). We developed a method for estimating scenarios of past 20-years LUC and derived CO2 emissions associated to 64 crops, pasture and forestry in Brazil as whole and in each of its 27 states, based on time-series statistics and in accordance with most used carbon-footprinting standards. The scenarios adopted provide a range between minimum and maximum rates of CO2 emissions from LUC according to different possibilities of land use transitions, which can have large impacts in the results. Specificities of Brazil, like multiple cropping and highly heterogeneous carbon stocks, are also addressed. The highest CO2 emissions rates are observed in the Amazon biome states and crops with the highest rates are those that have undergone expansion in this region. Some states and crops showing large agricultural areas have low emissions associated, especially in southern and eastern Brazil. Native carbon stocks and time of agricultural expansion are the most decisive factors to the patterns of emissions. Some implications on LUC estimation methods and standards and on agrienvironmental policies are discussed. MenosLand use change (LUC) in Brazil has important implications on global climate change, ecosystem services and biodiversity, and agricultural expansion plays a critical role in this process. Concerns over these issues have led to the need for estimating the magnitude and impacts associated to that, which are increasingly reported in the environmental assessment of products. Currently, there is an extensive debate on which methods are more appropriate for estimating LUC and related emissions and regionalized estimates are lacking for Brazil, which is a world leader in agricultural production (e.g. food, fibers and bioenergy). We developed a method for estimating scenarios of past 20-years LUC and derived CO2 emissions associated to 64 crops, pasture and forestry in Brazil as whole and in each of its 27 states, based on time-series statistics and in accordance with most used carbon-footprinting standards. The scenarios adopted provide a range between minimum and maximum rates of CO2 emissions from LUC according to different possibilities of land use transitions, which can have large impacts in the results. Specificities of Brazil, like multiple cropping and highly heterogeneous carbon stocks, are also addressed. The highest CO2 emissions rates are observed in the Amazon biome states and crops with the highest rates are those that have undergone expansion in this region. Some states and crops showing large agricultural areas have low emissions associated, especially in southern an... Mostrar Tudo |
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Palavras-Chave: |
Cana-de-açúcar; Carbon footprinting; Maize; Soybean. |
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Thesagro: |
Dióxido de carbono; Milho; Soja; Uso da terra. |
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Thesaurus NAL: |
beef; Brazil; Life cycle assessment; Soybeans; Sugarcane. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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Marc: |
LEADER 02741naa a2200349 a 4500
001 2077930
005 2017-11-17
008 2017 bl uuuu u00u1 u #d
024 7 $a10.1111/gcb.13708$2DOI
100 1 $aNOVAES, R. M. L.
245 $aEstimating 20-year land-use change and derived CO2 emissions associated to crops, pasture and forestry in Brazil and each of its 27 states.$h[electronic resource]
260 $c2017
520 $aLand use change (LUC) in Brazil has important implications on global climate change, ecosystem services and biodiversity, and agricultural expansion plays a critical role in this process. Concerns over these issues have led to the need for estimating the magnitude and impacts associated to that, which are increasingly reported in the environmental assessment of products. Currently, there is an extensive debate on which methods are more appropriate for estimating LUC and related emissions and regionalized estimates are lacking for Brazil, which is a world leader in agricultural production (e.g. food, fibers and bioenergy). We developed a method for estimating scenarios of past 20-years LUC and derived CO2 emissions associated to 64 crops, pasture and forestry in Brazil as whole and in each of its 27 states, based on time-series statistics and in accordance with most used carbon-footprinting standards. The scenarios adopted provide a range between minimum and maximum rates of CO2 emissions from LUC according to different possibilities of land use transitions, which can have large impacts in the results. Specificities of Brazil, like multiple cropping and highly heterogeneous carbon stocks, are also addressed. The highest CO2 emissions rates are observed in the Amazon biome states and crops with the highest rates are those that have undergone expansion in this region. Some states and crops showing large agricultural areas have low emissions associated, especially in southern and eastern Brazil. Native carbon stocks and time of agricultural expansion are the most decisive factors to the patterns of emissions. Some implications on LUC estimation methods and standards and on agrienvironmental policies are discussed.
650 $abeef
650 $aBrazil
650 $aLife cycle assessment
650 $aSoybeans
650 $aSugarcane
650 $aDióxido de carbono
650 $aMilho
650 $aSoja
650 $aUso da terra
653 $aCana-de-açúcar
653 $aCarbon footprinting
653 $aMaize
653 $aSoybean
700 1 $aPAZIANOTTO, R. A. A.
700 1 $aBRANDÃO, M.
700 1 $aALVES, B. J. R.
700 1 $aMAY, A.
700 1 $aMATSUURA, M. I. da S. F.
773 $tGlobal Change Biology$gv. 23, n. 9, p. 3716-3728, 2017.
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Registro original: |
Embrapa Meio Ambiente (CNPMA) |
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