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Provedor de dados:  Repositório Alice
País:  Brazil
Título:  Calibration 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.
Autores:  REZENDE, L. F. C.
ARENQUE-MUSA, B. C.
MOURA, M. S. B. de
AIDAR, S. de T.
RANDOW, C. V.
MENEZES, R. S. C.
OMETTO, J. P.B. H.
Data:  2016-10-03
Ano:  2016
Palavras-chave:  Modelos de Vegetação Globais Dinâmicos
Produtividade primária bruta
DGVMs
Vegetação
Caatinga
Mudanças climáticas
Biodiversidade
Dynamic Global Vegetation Models
Natural resource
Resumo:  The 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 Caatinga

2016
Tipo:  Artigo em periódico indexado (ALICE)
Idioma:  Inglês
Identificador:  55997

http://www.alice.cnptia.embrapa.br/handle/doc/1053978

http://ainfo.cnptia.embrapa.br/digital/bitstream/item/148208/1/Magna-3.pdf

10.1590/1519-6984.14414
Editor:  Brazilian Journal of Biology, v. 76, n. 2, p. 341-351, 2016.
Relação:  Embrapa Semiárido - Artigo em periódico indexado (ALICE)
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