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dc.contributor.authorCOLMANETTI, M. A. A.
dc.contributor.authorCUADRA, S. V.
dc.contributor.authorATTIA, A.
dc.contributor.authorNOUVELLON, Y.
dc.contributor.authorGUILLEMOT, J.
dc.contributor.authorCAMPOE, O. C.
dc.contributor.authorCABRAL, O. M. R.
dc.contributor.authorLACLAU, J.
dc.contributor.authorGALDOS, M.
dc.contributor.authorLAMPARELLI, R. A. C.
dc.contributor.authorBORTOLUCCI, J.
dc.contributor.authorPEREIRA, B.
dc.contributor.authorMARIE, G. le
dc.date.accessioned2026-02-05T07:41:53Z-
dc.date.available2026-02-05T07:41:53Z-
dc.date.created2020-01-09
dc.date.issued2019
dc.identifier.citationPesquisa Florestal Brasileira, v. 39, e201902043, p. 255-256, 2019.
dc.identifier.issn1809-3647
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1118430-
dc.descriptionHighly productive fast-growing Eucalyptus plantations cover more than 5 million hectares in Brazil and exhibit very dynamic carbon fluxes throughout their 6-7 year rotations. These plantations quickly shift from C sources at the beginning of the rotation to large C sinks until harvest. In order to get a model simulating carbon pool and fluxes for both Eucalyptus plantations and other crops, we integrated several sub-models of the Eucalyptus-dedicated Generic Decomposition And Yield Model (G'DAY) into the large scale and multi-cover model Agro-IBIS (Integrated Biosphere Simulator). The G?DAY model was previously parametrized and validated using large experimental datasets obtained in commercial eucalypt plantations in the state of São Paulo. Implementing an Eucalyptus plantation cover type within AgroIBIS, which had no Plant Functional Type dedicated to fast-growing forest plantations, required important changes in the carbon allocation turnover sub-models. This study included three phases: (1) the computational modification of AgroIBIS; (2) the model parametrization, calibration and validation using data fromintensively monitored sites or inventories datasets; and (3) model application at regional scaleusing sets of parameters which were considered to be constant in space and/or time based on data from the local experiments, and other sets of parameters which could vary spatially. Carbon fluxes of Eucalyptus plantations were simulated at the regional scale, and their inter-annual and spatial variabilities were analysed. Such spatial and multiannual quantification of carbon fluxesat large scalesbrings a better understanding of these forest ecosystems on global carbon cycling, which is a prerequisite to support policy decisions.
dc.language.isoeng
dc.rightsopenAccess
dc.subjectAgro IBIS model
dc.subjectModelo Agro IBIS
dc.subjectG'DAY model
dc.subjectModelo G'DAY
dc.titleAdaptation of Agro-IBIS model for Eucalyptus carbon budget estimation at regional level - a case study in São Paulo State, Brazil.
dc.typeArtigo de periódico
dc.subject.thesagroCarbono
dc.subject.thesagroEucalipto
dc.subject.nalthesaurusEucalyptus
dc.subject.nalthesaurusCarbon
dc.description.notesSpecial issue. Na publicação: Osvaldo Cabral. Abstracts of the XXV IUFRO World Congress, 2019, Curitiba.
riaa.ainfo.id1118430
riaa.ainfo.lastupdate2026-02-04
dc.contributor.institutionMICHEL ANDERSON ALMEIDA COLMANETTI, UNICAMP; SANTIAGO VIANNA CUADRA, CPACT; AHMED ATTIA, UNICAMP; YANN NOUVELLON, CIRAD, ESALQ/USP; JOANNÈS GUILLEMOT, CIRAD, ESALQ/USP; OTÁVIO CAMPOE, UNESC. UFSC; OSVALDO MACHADO RODRIGUES CABRAL, CNPMA; JEAN-PAUL LACLAU, CIRAD, UNESP; MARCELO GALDOS, UNICAMP; RUBENS AUGUSTO CAMARGO LAMPARELLI, UNICAMP; JAIR BORTOLUCCI, UNICAMP; BRUNO PEREIRA, UNICAMP; GUERRIC LE MAIRE, UNICAMP, CIRAD, UNIVERSITY OF LEEDS.
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