Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1053978
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dc.contributor.authorREZENDE, L. F. C.pt_BR
dc.contributor.authorARENQUE-MUSA, B. C.pt_BR
dc.contributor.authorMOURA, M. S. B. dept_BR
dc.contributor.authorAIDAR, S. de T.pt_BR
dc.contributor.authorRANDOW, C. V.pt_BR
dc.contributor.authorMENEZES, R. S. C.pt_BR
dc.contributor.authorOMETTO, J. P. B. H.pt_BR
dc.date.accessioned2016-10-03T11:11:11Zpt_BR
dc.date.available2016-10-03T11:11:11Zpt_BR
dc.date.created2016-10-03pt_BR
dc.date.issued2016pt_BR
dc.identifier.citationBrazilian Journal of Biology, v. 76, n. 2, p. 341-351, 2016.pt_BR
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1053978pt_BR
dc.descriptionThe semiarid region of northeastern Brazil, the Caatinga, is extremely important due to its biodiversity and endemism. Measurements of plant physiology are crucial to the calibration of Dynamic Global Vegetation Models (DGVMs) that are currently used to simulate the responses of vegetation in face of global changes. In a field work realized in an area of preserved Caatinga forest located in Petrolina, Pernambuco, measurements of carbon assimilation (in response to light and CO2) were performed on 11 individuals of Poincianella microphylla, a native species that is abundant in this region. These data were used to calibrate the maximum carboxylation velocity (Vcmax) used in the INLAND model. The calibration techniques used were Multiple Linear Regression (MLR), and data mining techniques as the Classification And Regression Tree (CART) and K-MEANS. The results were compared to the UNCALIBRATED model. It was found that simulated Gross Primary Productivity (GPP) reached 72% of observed GPP when using the calibrated Vcmax values, whereas the UNCALIBRATED approach accounted for 42% of observed GPP. Thus, this work shows the benefits of calibrating DGVMs using field ecophysiological measurements, especially in areas where field data is scarce or non-existent, such as in the Caatingapt_BR
dc.language.isoengeng
dc.rightsopenAccesseng
dc.subjectModelos de Vegetação Globais Dinâmicospt_BR
dc.subjectProdutividade primária brutapt_BR
dc.subjectDGVMspt_BR
dc.subjectNatural resourcept_BR
dc.subjectMudanças Climáticaspt_BR
dc.subjectDynamic global vegetation modelspt_BR
dc.titleCalibration of the maximum carboxylation velocity (Vcmax) using data mining techniques and ecophysiological data from the Brazilian Semiarid region, for use in Dynamic Global Vegetation Models.pt_BR
dc.typeArtigo de periódicopt_BR
dc.date.updated2017-01-17T11:11:11Zpt_BR
dc.subject.thesagroVegetaçãopt_BR
dc.subject.thesagroCaatingapt_BR
dc.subject.thesagroBiodiversidadept_BR
riaa.ainfo.id1053978pt_BR
riaa.ainfo.lastupdate2017-01-17pt_BR
dc.identifier.doi10.1590/1519-6984.14414pt_BR
dc.contributor.institutionL. F. C. REZENDE, INPE; B. C. ARENQUE-MUSA, USP; MAGNA SOELMA BESERRA DE MOURA, CPATSA; SAULO DE TARSO AIDAR, CPATSA; C. VON RANDOW, INPE; R. S. C. MENEZES, UFPE; J. P. B. H. OMETTO, INPE.pt_BR
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