Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1103131
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dc.contributor.authorDONKE, A. C. G.
dc.contributor.authorNOVAES, R. M. L.
dc.contributor.authorPAZIANOTTO, R. A. A.
dc.contributor.authorRUIZ, E. M.
dc.contributor.authorREINHARD, J.
dc.contributor.authorMATSUURA, M. I. da S. F.
dc.date.accessioned2019-01-07T23:49:42Z-
dc.date.available2019-01-07T23:49:42Z-
dc.date.created2019-01-07
dc.date.issued2018
dc.identifier.citationIn: CONGRESSO BRASILEIRO SOBRE GESTÃO DO CICLO DE VIDA, 6., 2018, Brasília, DF. Anais... Brasília, DF: Ibict, 2018.
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1103131-
dc.descriptionAbstract: 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.
dc.language.isoengeng
dc.rightsopenAccesseng
dc.subjectBRLUC method
dc.subjectLand use change emissions
dc.subjectLCA of brazilian products
dc.subjectRegionalized LCA
dc.subjectLCA databases
dc.subjectMudança no uso da terra
dc.subjectAvaliação do ciclo de vida
dc.titleIntegrating land use change estimates at state level in the ecoinvent database structure v3.3.
dc.typeArtigo em anais e proceedings
dc.date.updated2019-01-07T23:49:42Zpt_BR
dc.subject.thesagroUso da terra
dc.subject.nalthesaurusLand use change
dc.subject.nalthesaurusLife cycle assessment
dc.subject.nalthesaurusGreenhouse gas emissions
dc.subject.nalthesaurusDatabases
dc.format.extent2p. 199-205.
riaa.ainfo.id1103131
riaa.ainfo.lastupdate2019-01-07
dc.contributor.institutionANA 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.
Aparece nas coleções:Artigo em anais de congresso (CNPMA)

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