| |
|
|
|
Registro Completo |
|
Biblioteca(s): |
Embrapa Semiárido. |
|
Data corrente: |
03/10/2016 |
|
Data da última atualização: |
17/01/2017 |
|
Tipo da produção científica: |
Artigo em Periódico Indexado |
|
Autoria: |
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. |
|
Afiliação: |
L. 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. |
|
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. |
|
Ano de publicação: |
2016 |
|
Fonte/Imprenta: |
Brazilian Journal of Biology, v. 76, n. 2, p. 341-351, 2016. |
|
DOI: |
10.1590/1519-6984.14414 |
|
Idioma: |
Inglês |
|
Conteúdo: |
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 |
|
Palavras-Chave: |
DGVMs; Dynamic global vegetation models; Modelos de Vegetação Globais Dinâmicos; Mudanças Climáticas; Natural resource; Produtividade primária bruta. |
|
Thesagro: |
Biodiversidade; Caatinga; Vegetação. |
|
Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
|
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/148208/1/Magna-3.pdf
|
|
Marc: |
LEADER 02378naa a2200313 a 4500
001 2053978
005 2017-01-17
008 2016 bl uuuu u00u1 u #d
024 7 $a10.1590/1519-6984.14414$2DOI
100 1 $aREZENDE, L. F. C.
245 $aCalibration of the maximum carboxylation velocity (Vcmax) using data mining techniques and ecophysiological data from the Brazilian Semiarid region, for use in Dynamic Global Vegetation Models.$h[electronic resource]
260 $c2016
520 $aThe 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
650 $aBiodiversidade
650 $aCaatinga
650 $aVegetação
653 $aDGVMs
653 $aDynamic global vegetation models
653 $aModelos de Vegetação Globais Dinâmicos
653 $aMudanças Climáticas
653 $aNatural resource
653 $aProdutividade primária bruta
700 1 $aARENQUE-MUSA, B. C.
700 1 $aMOURA, M. S. B. de
700 1 $aAIDAR, S. de T.
700 1 $aRANDOW, C. V.
700 1 $aMENEZES, R. S. C.
700 1 $aOMETTO, J. P. B. H.
773 $tBrazilian Journal of Biology$gv. 76, n. 2, p. 341-351, 2016.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Semiárido (CPATSA) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
|
|
|
| Registros recuperados : 1 | |
| 1. |  | 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. 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. Brazilian Journal of Biology, v. 76, n. 2, p. 341-351, 2016.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: B - 1 |
| Biblioteca(s): Embrapa Semiárido. |
|    |
| Registros recuperados : 1 | |
|
| Nenhum registro encontrado para a expressão de busca informada. |
|
|
