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| Registros recuperados : 14 | |
| 2. |  | DAVIS, M. R.; ALVES, B. J. R.; KARLEN, D. L.; KLINE, K. L.; GALDOS, M. V.; ABULEBDEH, D. Review of soil organic carbon measurement protocols: A US and Brazil comparison and recommendation. Sustainability, v. 10, n. 53, p. 1-20, 2018.| Biblioteca(s): Embrapa Agrobiologia. |
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| 3. | | 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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| 4. | | 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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| 5. | | 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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| 6. | | 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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| 7. | | 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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| 8. | | 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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| 9. | | 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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| 10. | | CERRI, C. C.; BERNOUX, M.; MAIA, S. M. F.; CERRI, C. E. P.; COSTA JUNIOR, C.; FEIGL, B. J.; FRAZÃO, L. A.; MELLO, F. F. de C.; GALDOS, M. V.; MOREIRA, C. S.; CARVALHO, J. L. N. Greenhouse gas mitigation options in Brazil for land-use change, livestock and agriculture. Scientia Agricola, v. 67, n. 1, p. 102-116, jan./feb., 2010.| Biblioteca(s): Embrapa Algodão. |
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| 11. | | CABRAL, O. M. R.; FREITAS, H. C. de; CUADRA, S. V.; ANDRADE, C. A. de; RAMOS, N. P.; GRUTZMACHER, P.; GALDOS, M.; PACKER, A. P.; ROCHA, H. R. da; ROSSI, P. The sustainability of a sugarcane plantation in Brazil assessed by the eddy covariance fluxes of greenhouse gases. Agricultural and Forest Meteorology, v. 282-283, Article 107864, 2020.| Biblioteca(s): Embrapa Agricultura Digital; Embrapa Clima Temperado; Embrapa Meio Ambiente. |
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| 12. | | GOLLANY, H. T.; TITUS, B. D.; SCOTT, D. A.; ASBJORNSEN, H.; RESH, S. C.; CHIMNER, R. A.; KACZMAREK, D. J.; LEITE, L. F. C.; FERREIRA, A. C. C.; ROD, K. A.; HILBERT, J.; GALDOS, M. V.; CISZ, M. E. Biogeochemical research priorities for sustainable biofuel and bioenergy feedstock production in the Americas. Environmental Management, 2015. DOI 10.1007/s00267-015-0536-7. 26 p.| Biblioteca(s): Embrapa Meio-Norte. |
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| 13. | | VIANNA, M. S.; WILLIAMS, K. W.; LITTLETON, E. W.; CABRAL, O. M. R.; CERRI, C. E. P.; DE JONG VAN LIER, Q.; MARTHEWS, T. R.; HAYMAN, G.; ZERI, M.; CUADRA, S. V.; CHALLINOR, A. J.; MARIN, F. R.; GALDOS, M. V. Improving the representation of sugarcane crop in the Joint UK Land Environment Simulator (JULES) model for climate impact assessment. GCB Bioenergy: Bioproducts for a Sustainable Bioeconomy, v. 14, n. 10, p. 1097-1116, 2022.| Biblioteca(s): Embrapa Agricultura Digital; Embrapa Meio Ambiente. |
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| 14. | | COLMANETTI, M. A. A.; CUADRA, S. V.; LAMPARELLI, R. A. C.; CABRAL, O. M. R.; VICTORIA, D. de C.; MONTEIRO, J. E. B. de A.; FREITAS, H. C. de; GALDOS, M. V.; MARAFON, A. C.; ANDRADE JUNIOR, A. S. de; SILVA, S. D. dos A. e; BUFON, V. B.; HERNANDES, T. A. D.; MAIRE, G. LE. Modeling sugarcane development and growth within ECOSMOS .biophysical model. European Journal of Agronomy, v. 154, 127061, 2024.| Biblioteca(s): Embrapa Agricultura Digital; Embrapa Meio Ambiente; Embrapa Meio-Norte. |
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| Registros recuperados : 14 | |
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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: |
LEADER 02624nam a2200325 a 4500
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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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Embrapa Meio Ambiente (CNPMA) |
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