| |
|
|
 | Acesso ao texto completo restrito à biblioteca da Embrapa Clima Temperado. Para informações adicionais entre em contato com cpact.biblioteca@embrapa.br. |
|
Registro Completo |
|
Biblioteca(s): |
Embrapa Clima Temperado; Embrapa Meio Ambiente. |
|
Data corrente: |
01/08/2019 |
|
Data da última atualização: |
04/12/2019 |
|
Tipo da produção científica: |
Artigo em Periódico Indexado |
|
Autoria: |
ATTIA, A.; NOUVELLON, Y.; CUADRA, S. V.; CABRAL, O. M. R.; LACLAU, J. P.; GUILLEMOT, J.; CAMPOE, O.; STAPE, J.; GALDOS, M.; LAMPARELLI, R.; MARIE, G. L. |
|
Afiliação: |
Ahmed Attia; Yann Nouvellon; SANTIAGO VIANNA CUADRA, CPACT; OSVALDO MACHADO RODRIGUES CABRAL, CNPMA; Jean-Paul Laclau; Joannès Guillemot; Otavio Campoe; José-Luiz Stape; Marcelo Galdos; Rubens Lamparelli; Guerric le Maire. |
|
Título: |
Modelling carbon and water balance of Eucalyptus plantations at regional scale: Effect of climate, soil and genotypes. |
|
Ano de publicação: |
2019 |
|
Fonte/Imprenta: |
Forest Ecology and Management, v. 449, p. 1-13, 2019. Article 117460. |
|
DOI: |
https://doi.org/10.1016/j.foreco.2019.117460 |
|
Idioma: |
Inglês |
|
Conteúdo: |
Abstract:Carbon 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. MenosAbstract:Carbon 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 so... Mostrar Tudo |
|
Palavras-Chave: |
Ecophysiological model; Eucalyptus plantations; G'DAY; Optimization; Productivity. |
|
Thesagro: |
Balanço Hídrico; Eucalipto; Modelo de Simulação. |
|
Categoria do assunto: |
--
P Recursos Naturais, Ciências Ambientais e da Terra |
|
Marc: |
LEADER 02833naa a2200349 a 4500
001 2111038
005 2019-12-04
008 2019 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1016/j.foreco.2019.117460$2DOI
100 1 $aATTIA, A.
245 $aModelling carbon and water balance of Eucalyptus plantations at regional scale$bEffect of climate, soil and genotypes.$h[electronic resource]
260 $c2019
520 $aAbstract:Carbon 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.
650 $aBalanço Hídrico
650 $aEucalipto
650 $aModelo de Simulação
653 $aEcophysiological model
653 $aEucalyptus plantations
653 $aG'DAY
653 $aOptimization
653 $aProductivity
700 1 $aNOUVELLON, Y.
700 1 $aCUADRA, S. V.
700 1 $aCABRAL, O. M. R.
700 1 $aLACLAU, J. P.
700 1 $aGUILLEMOT, J.
700 1 $aCAMPOE, O.
700 1 $aSTAPE, J.
700 1 $aGALDOS, M.
700 1 $aLAMPARELLI, R.
700 1 $aMARIE, G. L.
773 $tForest Ecology and Management$gv. 449, p. 1-13, 2019. Article 117460.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Clima Temperado (CPACT) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
|
|
|
| Registros recuperados : 5 | |
| 1. |  | OLIVEIRA, M. G. de C.; SANTOS, H. V. N.; SILVA, R. P. da; TEIXEIRA, I. R.; BASSINELLO, P. Z. Influência de plantas daninhas na qualidade fisiológica de sementes de genótipos de feijão. In: CONGRESSO NACIONAL DE PESQUISA DE FEIJÃO, 9., 2008, Campinas. Ciência e tecnologia na cadeia produtiva do feijão. Campinas: Instituto Agronômico, 2008. 1 CD-ROM. (IAC. Documentos, 85).| Tipo: Artigo em Anais de Congresso / Nota Técnica |
| Biblioteca(s): Embrapa Arroz e Feijão. |
|    |
| 2. | | NOVAES, J. P. M. G. P.; SANTOS, H. V. dos; QUEIROGA, J. L. de; RAMOS FILHO, L. O.; MORICONI, W.; GOBBO, M. E. Manejo de solo para implantação de adubos verdes em sistemas agroflorestais agroecológicos. Cadernos de Agroecologia, v. 15, n. 2, 2020. Edição dos Anais do XI Congresso Brasileiro de Agroecologia, São Cristóvão, Sergipe, 2020. 6 p.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Meio Ambiente. |
| |
| 3. | | OSTI, Y. G. P.; DUARTE, L. G. R.; FUKUYAMA, C. W. T.; PEDRINO, I. C.; SANTOS, H. V.; OLIVEIRA FILHO, J. G. de; ASTOLFO, M. E. A.; MARTINS, M. E. M.; BOGUSZ JUNIOR, S.; FERREIRA, M. D. Direct and Volatile Potential Applications of Essential Oils for Post-Harvest Fungal Control. Chemistry & Biodiversity, v. 22, e202403484, 2025. 11 p.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 4 |
| Biblioteca(s): Embrapa Instrumentação. |
| |
| 4. | | FUKUYAMA, C. W. T.; BREXÓ, R. P.; DUARTE, L. G. R.; MARTINS, M. E. M.; ASTOLFO, M. E. A.; OSTI, Y. G. P.; PEDRINO, I. C.; SANTOS, H. V.; OLIVEIRA FILHO, J. G. de; PROCOPIO, F. R.; BOGUSZ JUNIOR, S.; FERREIRA, M. D. Impact of Essential Oils Composition and Exposure Methods on Fungal Growth and Morphology: Insights for Postharvest Management. Future Postharvest and Food, 2025. 15 P.| Tipo: Artigo em Periódico Indexado |
| Biblioteca(s): Embrapa Instrumentação. |
| |
| 5. | | OLIVEIRA FILHO, J. G. de; DUARTE, L. G. R.; SILVA, Y. B. B.; MILAN, E. P.; SANTOS, H. V.; MOURA, T. C.; BANDINI, V. P.; VITOLANO, L. E. S.; NOBRE, J. J. C.; MOREIRA, C. T.; MITSUYUKI, M. C.; BOGUSZ JUNIOR, S.; FERREIRA, M. D. Novel Approach for Improving Papaya Fruit Storage with Carnauba Wax Nanoemulsion in Combination with Syzigium aromaticum and Mentha spicata Essential Oils. Coatings, v. 13, n. 847, 2023. 16 p.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 4 |
| Biblioteca(s): Embrapa Instrumentação. |
| |
| Registros recuperados : 5 | |
|
| Expressão de busca inválida. Verifique!!! |
|
|
