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| Registros recuperados : 33 | |
| 8. |  | SILVA, R. de O.; ARAUJO, S. M. de. Caracterizacao mineralogica, textural e quimica mineral do minerio de zinco, cobre e chumbo do deposito de Palmeiropolis, Tocantins: identificacao das condicoes de reequilibrio metamorfico. In: CONGRESSO DE INICIACAO CIENTIFICA DA UnB, 5., 1999, Anais. Brasilia, DF. Brasilia: UnB, 1999. p.270. Resumo.| Biblioteca(s): Embrapa Cerrados. |
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| 17. | | SILVA, R. de O. da; SILVA, J. de S.; MACHADO, C. de F. Observação das principais doenças e insetos pragas do maracujazeiro em campos experimentais da Embrapa/CNPMF. In: JORNADA CIENTÍFICA EMBRAPA MANDIOCA E FRUTICULTURA, 8., 2014, Cruz das Almas, Ba. Pesquisa: despertando mentes para a inovação e transformando o futuro : [anais]. Cruz das Almas, BA, Embrapa Mandioca e Fruticultura, 2014.| Biblioteca(s): Embrapa Mandioca e Fruticultura. |
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| 19. | | MARQUES, J. G. O.; SILVA, R. de O.; BARIONI, L. G.; HALL, J. A. J.; TEDESCHI, L. O.; MORAN, D. An improved algorithm for solving profit-maximizing cattle diet problems. Animal, v. 14, S2, p. S257-S266, Aug. 2020. Issue S2: Edição do 9th Workshop on Modelling Nutrient Digestion and Utilization in Farm Animals (MODNUT), 2019, Ubatuba.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 20. | | BRATFISCH, G. G.; BARIONI, L. G.; SILVA, R. de O.; GREGO, C. R.; PEREIRA, B. H.; BERTOLUCCI JUNIOR, J. Modeling technology diffusion of beef cattle in Brazil using a cellular automata. In: CONGRESSO BRASILEIRO DE AGROINFORMÁTICA, 12., 2019, Indaiatuba. Anais... Ponta Grossa: SBIAGRO, 2019. p. 152-162. Organizadores: Maria Fernanda Moura, Jayme Garcia Arnal Barbedo, Alaine Margarete Guimarães, Valter Castelhano de Oliveira. SBIAgro 2019.| Biblioteca(s): Embrapa Agricultura Digital. |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Agricultura Digital. Para informações adicionais entre em contato com cnptia.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Agricultura Digital; Embrapa Meio Ambiente. |
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Data corrente: |
19/01/2016 |
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Data da última atualização: |
24/02/2017 |
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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: |
SILVA, R. de O.; BARIONI, L. G.; HALL, J. A. J.; MATSUURA, M. F.; ALBERTINI, T. Z.; FERNANDES, F. A.; MORAN, D. |
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Afiliação: |
R. DE OLIVEIRA SILVA, University of Edinburgh; LUIS GUSTAVO BARIONI, CNPTIA; J. A. J. HALL, University of Edinburgh; MARILIA IEDA DA S F MATSUURA, CNPMA; TIAGO ZANETT ALBERTINI, USP/ESALQ; FERNANDO ANTONIO FERNANDES, CPAP; D. MORAN, Research Division, SRUC. |
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Título: |
Increasing beef production could lower greenhouse gas emissions in Brazil if decoupled from deforestation. |
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Ano de publicação: |
2016 |
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Fonte/Imprenta: |
Nature Climate Change, v. 6, n. 5, p. 493-497, May 2016. |
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DOI: |
10.1038/NCLIMATE2916 |
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Idioma: |
Inglês |
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Conteúdo: |
Recent debate about agricultural greenhouse gas emissions mitigation highlights trade-os inherent in thewaywe produce and consume food, with increasing scrutiny on emissionsintensive livestock products1-3. Although most research has focused on mitigation through improved productivity4,5, systemic interactions resulting from reduced beef production at the regional level are still unexplored. A detailed optimization model of beef production encompassing pasture degradation and recovery processes, animal and deforestation emissions, soil organic carbon (SOC) dynamics and upstream life-cycle inventory was developed and parameterized for the Brazilian Cerrado. Economic return was maximized considering two alternative scenarios: decoupled livestock-deforestation (DLD), assuming baseline deforestation rates controlled by eective policy; and coupled livestock-deforestation (CLD), where shifting beef demand alters deforestation rates. In DLD, reduced consumption actually leads to less productive beef systems, associated with higher emissions intensities and total emissions, whereas increased production leads to more eficient systems with boosted SOC stocks, reducing both per kilogram and total emissions. Under CLD, increased production leads to 60% higher emissions than in DLD. The results indicate the extent to which deforestation control contributes to sustainable intensification in Cerrado beef systems, and how alternative life-cycle analytical approaches result in significantly diferent emission estimates. MenosRecent debate about agricultural greenhouse gas emissions mitigation highlights trade-os inherent in thewaywe produce and consume food, with increasing scrutiny on emissionsintensive livestock products1-3. Although most research has focused on mitigation through improved productivity4,5, systemic interactions resulting from reduced beef production at the regional level are still unexplored. A detailed optimization model of beef production encompassing pasture degradation and recovery processes, animal and deforestation emissions, soil organic carbon (SOC) dynamics and upstream life-cycle inventory was developed and parameterized for the Brazilian Cerrado. Economic return was maximized considering two alternative scenarios: decoupled livestock-deforestation (DLD), assuming baseline deforestation rates controlled by eective policy; and coupled livestock-deforestation (CLD), where shifting beef demand alters deforestation rates. In DLD, reduced consumption actually leads to less productive beef systems, associated with higher emissions intensities and total emissions, whereas increased production leads to more eficient systems with boosted SOC stocks, reducing both per kilogram and total emissions. Under CLD, increased production leads to 60% higher emissions than in DLD. The results indicate the extent to which deforestation control contributes to sustainable intensification in Cerrado beef systems, and how alternative life-cycle analytical approaches result in significantly d... Mostrar Tudo |
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Palavras-Chave: |
Beef production; Emissões de gases. |
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Thesagro: |
Efeito Estufa. |
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Thesaurus NAL: |
Gas emissions; Greenhouse gas emissions. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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Marc: |
LEADER 02333naa a2200265 a 4500
001 2034370
005 2017-02-24
008 2016 bl uuuu u00u1 u #d
024 7 $a10.1038/NCLIMATE2916$2DOI
100 1 $aSILVA, R. de O.
245 $aIncreasing beef production could lower greenhouse gas emissions in Brazil if decoupled from deforestation.$h[electronic resource]
260 $c2016
520 $aRecent debate about agricultural greenhouse gas emissions mitigation highlights trade-os inherent in thewaywe produce and consume food, with increasing scrutiny on emissionsintensive livestock products1-3. Although most research has focused on mitigation through improved productivity4,5, systemic interactions resulting from reduced beef production at the regional level are still unexplored. A detailed optimization model of beef production encompassing pasture degradation and recovery processes, animal and deforestation emissions, soil organic carbon (SOC) dynamics and upstream life-cycle inventory was developed and parameterized for the Brazilian Cerrado. Economic return was maximized considering two alternative scenarios: decoupled livestock-deforestation (DLD), assuming baseline deforestation rates controlled by eective policy; and coupled livestock-deforestation (CLD), where shifting beef demand alters deforestation rates. In DLD, reduced consumption actually leads to less productive beef systems, associated with higher emissions intensities and total emissions, whereas increased production leads to more eficient systems with boosted SOC stocks, reducing both per kilogram and total emissions. Under CLD, increased production leads to 60% higher emissions than in DLD. The results indicate the extent to which deforestation control contributes to sustainable intensification in Cerrado beef systems, and how alternative life-cycle analytical approaches result in significantly diferent emission estimates.
650 $aGas emissions
650 $aGreenhouse gas emissions
650 $aEfeito Estufa
653 $aBeef production
653 $aEmissões de gases
700 1 $aBARIONI, L. G.
700 1 $aHALL, J. A. J.
700 1 $aMATSUURA, M. F.
700 1 $aALBERTINI, T. Z.
700 1 $aFERNANDES, F. A.
700 1 $aMORAN, D.
773 $tNature Climate Change$gv. 6, n. 5, p. 493-497, May 2016.
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