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| 3. |  | RIGHI, C. A.; CAMPOE, O. C.; BERNARDES, M. S.; LUNZ, A. M. P.; PIEDADE, S. M. S.; PEREIRA, C. R. Infuence of rubber trees on leaf-miner damage to coffee plants in an agroforestry system. Agroforestry Systems, Columbia, v. 87, n. 6, p. 1351-1362, Dec. 2013. Published online: 5 October 2013.| Biblioteca(s): Embrapa Acre. |
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| 6. | | ATTIA, A.; NOUVELLON, Y.; CUADRA, S. V.; CABRAL, O. M. R.; LACLAU, J. P.; GUILLEMOT, J.; CAMPOE, O.; STAPE, J.; GALDOS, M.; LAMPARELLI, R.; LE MARIE, G. Modelling carbon and water balance of Eucalyptus plantations at regional scale: effect of climate, soil and genotypes. Forest Ecology and Management, v. 449, p. 1-13, Oct. 2019. Article 117460.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 7. | | 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. Modelling carbon and water balance of Eucalyptus plantations at regional scale: Effect of climate, soil and genotypes. Forest Ecology and Management, v. 449, p. 1-13, 2019. Article 117460.| Biblioteca(s): Embrapa Clima Temperado; Embrapa Meio Ambiente. |
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| 8. | | ATTIA, A.; CUADRA, S. V.; NOUVELLON, Y.; GUILLEMOT, J.; CAMPOE, O. C.; CABRAL, O. M. R.; LACLAU, J.; GALDOS, M.; LAMPARELLI, R.; Le MAIRE, G. Modelling eucalyptus biomass production at regional scale in Brazil. In: EUCALYPTUS 2018, Montpellier. Managing Eucalyptus plantation under global changes: abstracts book... Montpellier, France: CIRAD, 2018. p. 43.| Biblioteca(s): Embrapa Meio Ambiente. |
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| 9. | | ATTIA, A.; CUADRA, S. V.; NOUVELLON, Y.; GUILLEMOT, J.; CAMPOE, O. C.; CABRAL, O. M. R.; LACLAU, J. P.; GALDOS, M.; LAMPARELLI, R.; LE MAIRE, G. Modelling Eucalyptus biomass production at regional scale in Brazil. In: EUCALYPTUS, 2018, Montpellier. Managing Eucalyptus plantation under global changes: abstracts book. Montpellier: CIRAD, 2018. p. 43. Na publicação: Santiago Cuandra.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 10. | | COLMANETTI, M. A. A.; CUADRA, S. V.; ATTIA, A.; NOUVELLON, Y.; GUILLEMOT, J.; CAMPOE, O. C.; CABRAL, O. M. R.; LACLAU, J.; GALDOS, M.; LAMPARELLI, R.; BORTOLUCCI, J.; PEREIRA, B.; MAIRE, G. Le. Adaptation of Agro-IBIS model for Eucalyptus carbon budget estimation at regional level: a case study in São Paulo State, Brazil. Pesquisa Florestal Brasileira, v. 39, e201902043, p. 255-256, 2019. Special issue. Abstracts of the XXV IUFRO World Congress, 2019. 255| Biblioteca(s): Embrapa Meio Ambiente. |
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| 11. | | COLMANETTI, M. A. A.; CUADRA, S. V.; ATTIA, A.; NOUVELLON, Y.; GUILLEMOT, J.; CAMPOE, O. C.; CABRAL, O. M. R.; LACLAU, J.; GALDOS, M.; LAMPARELLI, R. A. C.; BORTOLUCCI, J.; PEREIRA, B.; LE MARIE, G. Adaptation of Agro-IBIS model for Eucalyptus carbon budget estimation at regional level - a case study in São Paulo State, Brazil. Pesquisa Florestal Brasileira, v. 39, e201902043, p. 255-256, 2019. Na publicação: Osvaldo Cabral. Special issue. Abstracts of the XXV IUFRO World Congress, 2019, Curitiba.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 12. | | COLMANETTI, M. A. A.; CUADRA, S. V.; LAMPARELLI, R. A. C.; BORTOLUCCI JUNIOR, J.; CABRAL, O. M. R.; CAMPOE, O. C.; VICTORIA, D. de C.; BARIONI, L. G.; GALDOS, M. V.; FIGUEIREDO, G. K. D. A.; LE MAIRE, G. Implementation and calibration of short-rotation eucalypt plantation module within the ECOSMOS land surface model. Agricultural and Forest Meteorology, v. 323, p. 1-15, Aug. 2022. Article number 109043.| Biblioteca(s): Embrapa Agricultura Digital; Embrapa Meio Ambiente. |
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| Registros recuperados : 12 | |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Clima Temperado. Para informações adicionais entre em contato com cpact.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Clima Temperado; Embrapa Meio Ambiente. |
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Data corrente: |
01/08/2019 |
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Data da última atualização: |
04/12/2019 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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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. |
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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. |
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Título: |
Modelling carbon and water balance of Eucalyptus plantations at regional scale: Effect of climate, soil and genotypes. |
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Ano de publicação: |
2019 |
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Fonte/Imprenta: |
Forest Ecology and Management, v. 449, p. 1-13, 2019. Article 117460. |
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DOI: |
https://doi.org/10.1016/j.foreco.2019.117460 |
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Idioma: |
Inglês |
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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 |
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Palavras-Chave: |
Ecophysiological model; Eucalyptus plantations; G'DAY; Optimization; Productivity. |
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Thesagro: |
Balanço Hídrico; Eucalipto; Modelo de Simulação. |
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Categoria do assunto: |
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P Recursos Naturais, Ciências Ambientais e da Terra |
|
Marc: |
LEADER 02833naa a2200349 a 4500
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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.
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