Modelling carbon and water balance of Eucalyptus plantations at regional scale: Effect of climate, soil and genotypes

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dc.contributor.authorAttia, Ahmed
dc.contributor.authorNouvellon, Yann
dc.contributor.authorCuadra, Santiago
dc.contributor.authorCabral, Osvaldo
dc.contributor.authorLaclau, Jean-Paul
dc.contributor.authorGuillemot, Joannès
dc.contributor.authorCampoe, Otavio [UNESP]
dc.contributor.authorStape, José-Luiz [UNESP]
dc.contributor.authorGaldos, Marcelo
dc.contributor.authorLamparelli, Rubens
dc.contributor.authorle Maire, Guerric
dc.contributor.institutionUniversidade Estadual de Campinas (UNICAMP)
dc.contributor.institutionUMR Eco&Sols
dc.contributor.institutionSupAgro
dc.contributor.institutionUniversidade de São Paulo (USP)
dc.contributor.institutionEmpresa Brasileira de Pesquisa Agropecuária (EMBRAPA)
dc.contributor.institutionUniversidade Federal de Lavras (UFLA)
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionUniversity of Leeds
dc.date.accessioned2019-10-06T15:49:42Z
dc.date.available2019-10-06T15:49:42Z
dc.date.issued2019-10-01
dc.description.abstractCarbon and water budgets of forest plantations are spatially and temporally variable and hardly empirically predictable. We applied G'DAY, a process-based ecophysiological model, to simulate carbon and water budgets and stem biomass production of Eucalyptus plantations in São Paulo State, Brazil. Our main objective was to assess the drivers of spatial variability in plantation production at regional scale. We followed a multi-site calibration approach: the model was first parameterized using a detailed experimental dataset. Then a subset of the parameters were re-calibrated on two independent experimental datasets. An additional genotype-specific calibration of a subset of parameters was performed. Model predictions of key carbon-related variables (e.g., gross primary production, leaf area index and stem biomass) and key water-related variables (e.g., plant available water and evapotranspiration) agreed closely with measurements. Application of the model across ca. 27,500 ha of forests planted with different genotypes of Eucalyptus indicated that the model was able to capture 89% of stem biomass variability measured at different ages. Several factors controlling Eucalyptus production variability in time and space were grouped in three categories: soil, climate, and the planted genotype. Modelling analysis showed that calibrating the model for genotypic differences was critical for stem biomass prediction at regional scale, but that taking into account climate and soil variability significantly improved the results. We conclude that application of process-based models at regional scale can be used for accurate predictions of Eucalyptus production, provided that an accurate calibration of the model for key genotype-specific parameters is conducted.en
dc.description.affiliationUNICAMP NIPE
dc.description.affiliationCIRAD UMR Eco&Sols
dc.description.affiliationEco&Sols Univ Montpellier CIRAD INRA IRD Montpellier SupAgro
dc.description.affiliationESALQ Universidade de São Paulo
dc.description.affiliationEMBRAPA CNPTIA
dc.description.affiliationEMBRAPA Meio Ambiente, Jaguariuna
dc.description.affiliationFederal University of Lavras – UFLA, Lavras
dc.description.affiliationUNESP-FCA
dc.description.affiliationInstitute for Climate and Atmospheric Science School of Earth and Environment University of Leeds
dc.description.affiliationUnespUNESP-FCA
dc.description.sponsorshipAgence Nationale de la Recherche
dc.description.sponsorshipIdAgence Nationale de la Recherche: ANR-13-AGRO-0005
dc.identifierhttp://dx.doi.org/10.1016/j.foreco.2019.117460
dc.identifier.citationForest Ecology and Management, v. 449.
dc.identifier.doi10.1016/j.foreco.2019.117460
dc.identifier.issn0378-1127
dc.identifier.scopus2-s2.0-85068962869
dc.identifier.urihttp://hdl.handle.net/11449/187867
dc.language.isoeng
dc.relation.ispartofForest Ecology and Management
dc.rights.accessRightsAcesso aberto
dc.sourceScopus
dc.subjectEcophysiological model
dc.subjectEucalyptus plantations
dc.subjectG'DAY
dc.subjectOptimization
dc.subjectProductivity
dc.titleModelling carbon and water balance of Eucalyptus plantations at regional scale: Effect of climate, soil and genotypesen
dc.typeArtigo

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