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| Registros recuperados : 119 | |
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| 62. | | CABRAL, O. M. R.; ROCHA, H. R. da; GASH, J. H. C.; FREITAS, H. C. de; LIGO, M. A. V. Water and energy fluxes from a woodland savanna (cerrado) in southeast Brazil. Journal of Hydrology: Regional Studies, Amsterdam, v. 4, part. B, p. 22-40, 2015.| Biblioteca(s): Embrapa Meio Ambiente. |
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| 65. | | CABRAL, O. M. R.; ROCHA, H. R. da; GASH, J. H. C.; LIGO, M. A. V.; FREITAS, H. C. de; TATSCH, J. D. The energy and water balance of a Eucalyptus plantation in southeast Brazil. Journal of Hydrology, Amsterdam, v. 388, p. 208-216, 2010.| Biblioteca(s): Embrapa Meio Ambiente. |
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| 66. | | CHAIM, A.; CASTRO, C. L. S. S. de; CORRALES, F. M.; GALVAO, J. A. H.; CABRAL, O. M. R.; NICOLELLA, G. Metodo para monitorar perdas na aplicacao de agrotoxicos na cultura de tomate. Pesquisa Agropecuaria Brasileira, Brasilia, v.34, n.5, p.741-747, maio 1999.| Biblioteca(s): Embrapa Hortaliças. |
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| 67. | | CHAIM, A.; CASTRO, V. L. S. S. de; CORRALES, F. M.; GALVAO, J. A. H.; CABRAL, O. M. R.; NICOLELLA, G. Metodo para monitorar perdas na aplicacao de agrotoxicos na cultura do tomate. Pesquisa Agropecuaria Brasileira, Brasilia, v.34, n.5, p.741-747, 1999.| Biblioteca(s): Embrapa Meio Ambiente; Embrapa Unidades Centrais. |
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| 68. | | 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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| 69. | | 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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| 70. | | 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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| 71. | | 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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| 72. | | CABRAL, O. M. R.; PACKER, A. P.; LACLAU, J. P.; EPROP, D.; NOUVELLON, Y.; MOREIRA, M.; GERANT, D.; DANNOURA, M.; ARAUJO, V.; FURLAN, G. Consequências da seca sobre a alocação de carbono em plantações de eucalipto: um experimento de marcação com 13C-CO2 para avaliar os efeitos da adubação potássica. In: FÓRUM DE APRESENTAÇÃO DE RESULTADOS DE PESQUISA: AVANÇOS E OPORTUNIDADES, 1., 2014, Campinas. Anais... Jaguariúna: Embrapa Meio Ambiente, 2014. RE005. 7 p.| Biblioteca(s): Embrapa Meio Ambiente. |
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| 73. | | TATSCH, J. D.; ROCHA, H. R.; CABRAL, O. M. R.; FREITAS, H. C.; LLOPART, M.; ACOSTA, R.; LIGO, M. A. V. Avaliação do método de Multiple Imputation no preenchimento de falhas de fluxos de energia sobre uma área de cana-de-açúcar. In: BRAZILIAN MICROMETEOROLOGY WORKSHOP, 5., 2007, Santa Maria. Abstracts... Santa Maria: Universidade Federal de Santa Maria, 2007. CD-ROM.| Biblioteca(s): Embrapa Meio Ambiente. |
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| 74. | | RAMOS, N. P.; YAMAGUCHI, C. S.; PIRES, A. M. M.; ROSSETTO, R.; POSSENTI, R. A.; PACKER, A. P.; CABRAL, O. M. R.; ANDRADE, C. A. de. Decomposição de palha de cana-de-açúcar recolhida em diferentes níveis após a colheita mecânica. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 51, n. 9, p. 1492-1500, set. 2016.| Biblioteca(s): Embrapa Meio Ambiente; Embrapa Unidades Centrais. |
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| 75. | | PATRICIO, F. R. A.; ALMEIDA, I. M. G. de; SANTOS, A. S.; CABRAL, O. M. R.; TESSARIOLI NETO, J.; SINIGAGLIA, C.; BERIAM, L. O. S.; RODRIGUES NETO, J. Avaliação da solarização do solo para o controle de Ralstonia solanacearum. Fitopatologia Brasileira, Brasília, DF, v. 30, n. 5, p. 475-481, set./out. 2005.| Biblioteca(s): Embrapa Meio Ambiente. |
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| 78. | | TATSCH, J. D.; CABRAL, O. M. R.; MORIONDO, M.; BINDI, M.; ROCHA, H. R. da; LIGO, M. A. V.; FREITAS, H. C. de. Implementação de um modelo genérico de culturas para a cana-de-açúcar no sudeste do Brasil. In: LIMA, M. A.; BODDEY, R. M.; ALVES, B. J. R.; MACHADO, P. L. O. de A.; URQUIAGA, S. (Ed.). Estoques de carbono e emissões de gases de efeito estufa na agropecuária brasileira. Brasília, DF: Embrapa; Jaguariúna: Embrapa Meio Ambiente, 2012. p. 223-237.| Biblioteca(s): Embrapa Meio Ambiente. |
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| 79. | | TATSCH, J. D.; CABRAL, O. M. R.; MORIONDO, M.; BINDI, M.; ROCHA, H. R. da; LIGO, M. A. V.; FREITAS, H. C. de. Implementation of a genetic model for sugarcane crops in the Southeastern region of Brazil. In: BODDEY, R. M.; LIMA, M. A.; ALVES, B. J. R.; MACHADO, P. L. O. de A.; URQUIAGA, S. (Ed.). Carbon stocks and greenhouse gas emissions in Brazilian agriculture. Brasília, DF: Embrapa, 2014. Chapter 7.| Biblioteca(s): Embrapa Meio Ambiente. |
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| 80. | | LIMA, M. A. de; BOEIRA, R. C.; CASTRO, V. L. S. S. de; LIGO, M. A. V.; CABRAL, O. M. R.; VIEIRA, R. F.; LUIZ, A. J. B. Estimativa das emissões de gases de efeito estufa provenientes de atividades agrícolas no Brasil. In: LIMA, M. A. de; CABRAL, O. M. R.; GONZALEZ MIGUEZ, J. D. (Ed.). Mudanças climáticas globais e a agropecuária brasileira. Jaguariúna: Embrapa Meio Ambiente, 2001. 397p. Cap. 7, p.169-189.| Biblioteca(s): Embrapa Meio Ambiente. |
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| Registros recuperados : 119 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Meio Ambiente. |
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Data corrente: |
09/12/2019 |
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Data da última atualização: |
09/12/2019 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
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. |
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Afiliação: |
A. ATTIA, Unicamp; SANTIAGO VIANNA CUADRA, CPACT; Y. NOUVELLON, UMR EcoSols (Univ Montpellier, Cirad, Inra, IRD, Montpellier SupAgro) CIRAD, ESALQ; J. GUILLEMOT, UMR EcoSols (Univ Montpellier, Cirad, Inra, IRD, Montpellier SupAgro) CIRAD, ESALQ; O. C. CAMPOE, UFSC, UNESP; OSVALDO MACHADO RODRIGUES CABRAL, CNPMA; J. LACLAU, UMR EcoSols (Univ Montpellier, Cirad, Inra, IRD, Montpellier SupAgro) CIRAD, ESALQ, UNESP; M. GALDOS, School of Earth and Environment, University of Leeds (ICAS); R. LAMPARELLI, Unicamp; G. Le MAIRE. |
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Título: |
Modelling eucalyptus biomass production at regional scale in Brazil. |
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Ano de publicação: |
2019 |
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Fonte/Imprenta: |
In: EUCALYPTUS 2018, Montpellier. Managing Eucalyptus plantation under global changes: abstracts book... Montpellier, France: CIRAD, 2018. |
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Páginas: |
p. 43. |
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Idioma: |
Português |
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Conteúdo: |
Among forest vegetation grown in Brazil, Eucalyptus is the most widely planted tropicalhardwood genus covering approximately 5.7 million ha for an average yield of 49 m3 ha-1 yr-1.Wide differences of biomass production were observed among neighboring stands representingchallenges to forestry companies to spatially estimate biomass yield in large plantation zones.The first objective of the present research was to modify the carbon allocation scheme in theprocess-based model Generic Decomposition And Yield Model (G?DAY), to better capture thespatial variability in growth rates of Eucalyptus as influenced by environmental constraints suchas water stress. The model was parametrized and tested using experimental and long termcommercial datasets in the state of S ?ao Paulo Brazil. Measured data included several variablesof carbon and water fluxes and carbon stock. The calibrated model produced accurate predictionof the carbon key variables such as leaf area index, stem biomass, and gross primary productionand water related variables such as plant available water and evapotranspiration. Simulating thespatial variability among commercial Eucalyptus stands at landscape scale showed reasonableprediction of plant height with r2 of 0.89 but lower level of accuracy for stem biomass. This couldpartially be attributed to spatial soil data differences used at regional scales which came fromthe Global Soil Dataset for Earth Systems Modeling dataset, at a resolution of 1 km. Testingthe soil data with the use of soil type map crossed with soil profile measurements is expectedto improve the soil information for higher accuracy of stem simulation at landscape to regionalscale. MenosAmong forest vegetation grown in Brazil, Eucalyptus is the most widely planted tropicalhardwood genus covering approximately 5.7 million ha for an average yield of 49 m3 ha-1 yr-1.Wide differences of biomass production were observed among neighboring stands representingchallenges to forestry companies to spatially estimate biomass yield in large plantation zones.The first objective of the present research was to modify the carbon allocation scheme in theprocess-based model Generic Decomposition And Yield Model (G?DAY), to better capture thespatial variability in growth rates of Eucalyptus as influenced by environmental constraints suchas water stress. The model was parametrized and tested using experimental and long termcommercial datasets in the state of S ?ao Paulo Brazil. Measured data included several variablesof carbon and water fluxes and carbon stock. The calibrated model produced accurate predictionof the carbon key variables such as leaf area index, stem biomass, and gross primary productionand water related variables such as plant available water and evapotranspiration. Simulating thespatial variability among commercial Eucalyptus stands at landscape scale showed reasonableprediction of plant height with r2 of 0.89 but lower level of accuracy for stem biomass. This couldpartially be attributed to spatial soil data differences used at regional scales which came fromthe Global Soil Dataset for Earth Systems Modeling dataset, at a resolution of 1 km. Testingthe soil d... Mostrar Tudo |
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Palavras-Chave: |
Ecophysiological Modelling; G’DAY; Regional Scale. |
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Thesagro: |
Biomassa; Eucalipto. |
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Thesaurus NAL: |
Biomass; Brazil; Eucalyptus. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/206504/1/RA-CabralOMR-Eucalyptus2018-Montpellier.pdf
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Marc: |
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100 1 $aATTIA, A.
245 $aModelling eucalyptus biomass production at regional scale in Brazil.$h[electronic resource]
260 $aIn: EUCALYPTUS 2018, Montpellier. Managing Eucalyptus plantation under global changes: abstracts book... Montpellier, France: CIRAD$c2018
300 $ap. 43.
520 $aAmong forest vegetation grown in Brazil, Eucalyptus is the most widely planted tropicalhardwood genus covering approximately 5.7 million ha for an average yield of 49 m3 ha-1 yr-1.Wide differences of biomass production were observed among neighboring stands representingchallenges to forestry companies to spatially estimate biomass yield in large plantation zones.The first objective of the present research was to modify the carbon allocation scheme in theprocess-based model Generic Decomposition And Yield Model (G?DAY), to better capture thespatial variability in growth rates of Eucalyptus as influenced by environmental constraints suchas water stress. The model was parametrized and tested using experimental and long termcommercial datasets in the state of S ?ao Paulo Brazil. Measured data included several variablesof carbon and water fluxes and carbon stock. The calibrated model produced accurate predictionof the carbon key variables such as leaf area index, stem biomass, and gross primary productionand water related variables such as plant available water and evapotranspiration. Simulating thespatial variability among commercial Eucalyptus stands at landscape scale showed reasonableprediction of plant height with r2 of 0.89 but lower level of accuracy for stem biomass. This couldpartially be attributed to spatial soil data differences used at regional scales which came fromthe Global Soil Dataset for Earth Systems Modeling dataset, at a resolution of 1 km. Testingthe soil data with the use of soil type map crossed with soil profile measurements is expectedto improve the soil information for higher accuracy of stem simulation at landscape to regionalscale.
650 $aBiomass
650 $aBrazil
650 $aEucalyptus
650 $aBiomassa
650 $aEucalipto
653 $aEcophysiological Modelling
653 $aG’DAY
653 $aRegional Scale
700 1 $aCUADRA, S. V.
700 1 $aNOUVELLON, Y.
700 1 $aGUILLEMOT, J.
700 1 $aCAMPOE, O. C.
700 1 $aCABRAL, O. M. R.
700 1 $aLACLAU, J.
700 1 $aGALDOS, M.
700 1 $aLAMPARELLI, R.
700 1 $aLe MAIRE, G.
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