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| 1. |  | PINTON, E. N. S.; CAMARGO NETO, J.; VISOLI, M. C. Roda da Reprodução iOS: aplicativo móvel para gestão de rebanho leiteiro. In: MOSTRA DE ESTAGIÁRIOS E BOLSISTAS DA EMBRAPA INFORMÁTICA AGROPCUÁRIA, 13., 2017, Campinas. Resumos expandidos... Brasília, DF: Embrapa, 2017. p. 55-60. Editores técnicos: Giampaolo Queiroz Pellegrino, Luciana Guilherme Sacomani Zenerato, Maria Fernanda Moura, Giulia croce, Poliana Fernanda Giachetto.| Biblioteca(s): Embrapa Agricultura Digital. |
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Registro Completo
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Biblioteca(s): |
Embrapa Meio Ambiente. |
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Data corrente: |
07/01/2019 |
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Data da última atualização: |
07/01/2019 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
DONKE, A. C. G.; NOVAES, R. M. L.; PAZIANOTTO, R. A. A.; RUIZ, E. M.; REINHARD, J.; MATSUURA, M. I. da S. F. |
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Afiliação: |
ANA CRISTINA GUIMARÃES DONKE; RENAN MILAGRES LAGE NOVAES, CNPMA; RICARDO ANTONIO ALMEIDA PAZIANOTTO, CNPMA; EMILIA MORENO RUIZ, Ecoinvent; JURGEN REINHARD, Quantis; MARILIA IEDA DA S F MATSUURA, CNPMA. |
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Título: |
Integrating land use change estimates at state level in the ecoinvent database structure v3.3. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
In: CONGRESSO BRASILEIRO SOBRE GESTÃO DO CICLO DE VIDA, 6., 2018, Brasília, DF. Anais... Brasília, DF: Ibict, 2018. |
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Páginas: |
p. 199-205. |
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Idioma: |
Inglês |
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Conteúdo: |
Abstract: Land use change (LUC) emissions have a major importance to agricultural products, especially in countries where agriculture is a relevant economic activity, as in Brazil. Despite its importance, methodologies for LUC estimation are still under debate and there is a lack of regionalized data. To contribute in filling this gap, BRLUC method was developed by Novaes et al (2017), providing estimates of direct LUC and derived CO2 emission rates disaggregated for 64 crops, pasture and forestry for each Brazilian state and a period of 20 years. However, to enhance its potential for use, BRLUC data should be also available in widely used LCA databases. The aim of this article is to present the general structure and adaptations needed to integrate Brazilian LUC estimates from BRLUC into the ecoinvent database v3.3, one of the main international life cycle databases. The main adaptation needs were diagnosed by a joint effort of Embrapa and ecoinvent teams and were: a) the inclusion of new products and land classes (e.g pasture, man-made and forest, intensive), b) segregation of emissions between ?land transformation? and ?land occupation? datasets; c) the conversion of the data structure to the ?land tenure? product model; d) the conversion of LUC substitution percentages into ?land tenure? production volumes and e) the inclusion and adaptation of new emission exchanges. By the automation of the data conversion through an algorithm in R, 418 datasets were generated for incorporation into ecoinvent database, which will increase and ease access to regionalized Brazilian LUC estimates to LCA practitioners. MenosAbstract: Land use change (LUC) emissions have a major importance to agricultural products, especially in countries where agriculture is a relevant economic activity, as in Brazil. Despite its importance, methodologies for LUC estimation are still under debate and there is a lack of regionalized data. To contribute in filling this gap, BRLUC method was developed by Novaes et al (2017), providing estimates of direct LUC and derived CO2 emission rates disaggregated for 64 crops, pasture and forestry for each Brazilian state and a period of 20 years. However, to enhance its potential for use, BRLUC data should be also available in widely used LCA databases. The aim of this article is to present the general structure and adaptations needed to integrate Brazilian LUC estimates from BRLUC into the ecoinvent database v3.3, one of the main international life cycle databases. The main adaptation needs were diagnosed by a joint effort of Embrapa and ecoinvent teams and were: a) the inclusion of new products and land classes (e.g pasture, man-made and forest, intensive), b) segregation of emissions between ?land transformation? and ?land occupation? datasets; c) the conversion of the data structure to the ?land tenure? product model; d) the conversion of LUC substitution percentages into ?land tenure? production volumes and e) the inclusion and adaptation of new emission exchanges. By the automation of the data conversion through an algorithm in R, 418 datasets were generated for incor... Mostrar Tudo |
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Palavras-Chave: |
Avaliação do ciclo de vida; BRLUC method; Land use change emissions; LCA databases; LCA of brazilian products; Mudança no uso da terra; Regionalized LCA. |
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Thesagro: |
Uso da terra. |
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Thesaurus NAL: |
Databases; Greenhouse gas emissions; Land use change; Life cycle assessment. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/189832/1/2018AA23.pdf
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Marc: |
LEADER 02693nam a2200325 a 4500
001 2103131
005 2019-01-07
008 2018 bl uuuu u00u1 u #d
100 1 $aDONKE, A. C. G.
245 $aIntegrating land use change estimates at state level in the ecoinvent database structure v3.3.$h[electronic resource]
260 $aIn: CONGRESSO BRASILEIRO SOBRE GESTÃO DO CICLO DE VIDA, 6., 2018, Brasília, DF. Anais... Brasília, DF: Ibict$c2018
300 $ap. 199-205.
520 $aAbstract: Land use change (LUC) emissions have a major importance to agricultural products, especially in countries where agriculture is a relevant economic activity, as in Brazil. Despite its importance, methodologies for LUC estimation are still under debate and there is a lack of regionalized data. To contribute in filling this gap, BRLUC method was developed by Novaes et al (2017), providing estimates of direct LUC and derived CO2 emission rates disaggregated for 64 crops, pasture and forestry for each Brazilian state and a period of 20 years. However, to enhance its potential for use, BRLUC data should be also available in widely used LCA databases. The aim of this article is to present the general structure and adaptations needed to integrate Brazilian LUC estimates from BRLUC into the ecoinvent database v3.3, one of the main international life cycle databases. The main adaptation needs were diagnosed by a joint effort of Embrapa and ecoinvent teams and were: a) the inclusion of new products and land classes (e.g pasture, man-made and forest, intensive), b) segregation of emissions between ?land transformation? and ?land occupation? datasets; c) the conversion of the data structure to the ?land tenure? product model; d) the conversion of LUC substitution percentages into ?land tenure? production volumes and e) the inclusion and adaptation of new emission exchanges. By the automation of the data conversion through an algorithm in R, 418 datasets were generated for incorporation into ecoinvent database, which will increase and ease access to regionalized Brazilian LUC estimates to LCA practitioners.
650 $aDatabases
650 $aGreenhouse gas emissions
650 $aLand use change
650 $aLife cycle assessment
650 $aUso da terra
653 $aAvaliação do ciclo de vida
653 $aBRLUC method
653 $aLand use change emissions
653 $aLCA databases
653 $aLCA of brazilian products
653 $aMudança no uso da terra
653 $aRegionalized LCA
700 1 $aNOVAES, R. M. L.
700 1 $aPAZIANOTTO, R. A. A.
700 1 $aRUIZ, E. M.
700 1 $aREINHARD, J.
700 1 $aMATSUURA, M. I. da S. F.
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Embrapa Meio Ambiente (CNPMA) |
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