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| Registros recuperados : 9 | |
| 2. |  | 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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| 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.; 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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| 4. | | 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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| 5. | | 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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| 6. | | SIMÕES, L. H. P.; GUILLEMOT, J.; RONQUIM, C. C.; WEIDLICH, E. W. A.; MUYS, B.; FUZA, M. S.; LIMA, R. A.; BRANCALION, P. H. S. Green deserts, but not always: a global synthesis of native woody species regeneration under tropical tree monocultures. Global Change Biology, v. 30, n. 4, e17269, 2024.| Biblioteca(s): Embrapa Territorial. |
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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. | | ALMEIDA, D. R. A. de; BROADBENT, E. N.; FERREIRA, M. P.; MELI, P.; ZAMBRANO, A. M. A.; GORGENS, E. B.; RESENDE, A. F.; ALMEIDA, C. T. de; AMARAL, C. R. do; CORTE, A. P. D.; SILVA, C. A.; ROMANELLI, J. P.; PRATA, G. A.; PAPA, D. de A.; STARK, S. C.; VALBUENA, R.; NELSON, B. W.; GUILLEMOT, J.; FÉRET, J. B.; CHAZDON, R.; BRANCALION, P. H. S. Monitoring restored tropical forest diversity and structure through UAV-borne hyperspectral and lidar fusion. Remote Sensing of Environment, v. 264, 112582, Oct. 2021.| Biblioteca(s): Embrapa Acre. |
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| Registros recuperados : 9 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Meio Ambiente. |
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Data corrente: |
12/12/2019 |
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Data da última atualização: |
30/03/2023 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
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. |
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Afiliação: |
M. A. A. COLMANETTI, UNICAMP; SANTIAGO VIANNA CUADRA, CPACT; A. ATTIA, Unicamp; Y. NOUVELLON, CIRAD, UMR Eco&Sols, Montpellier, France; Eco&Sols, Univ Montpellier, CIRAD, INRA, IRD, Montpellier, France; ESALQ; J. GUILLEMOT, CIRAD, UMR Eco&Sols, Montpellier, France; Eco&Sols, Univ Montpellier, CIRAD, INRA, IRD, Montpellier, France; ESALQ; UNESP; O. C. CAMPOE, UNESC. UFSC; OSVALDO MACHADO RODRIGUES CABRAL, CNPMA; J. LACLAU, CIRAD, UMR Eco&Sols, Montpellier, France; Eco&Sols, Univ Montpellier, CIRAD, INRA, IRD, Montpellier, France; ESALQ; M. GALDOS, UNICAMP; R. LAMPARELLI, UNICAMP; BORTOLUCCI, J., UNICAMP; B. PEREIRA, UNICAMP; G. Le MAIRE, Institute for Climate and Atmospheric Science, School of Earth and Environment, University of Leeds, Leeds, UnitedKingdom. |
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Título: |
Adaptation of Agro-IBIS model for Eucalyptus carbon budget estimation at regional level: a case study in São Paulo State, Brazil. |
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Ano de publicação: |
2019 |
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Fonte/Imprenta: |
Pesquisa Florestal Brasileira, v. 39, e201902043, p. 255-256, 2019. Special issue. Abstracts of the XXV IUFRO World Congress, 2019. |
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Páginas: |
255 |
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Idioma: |
Português |
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Conteúdo: |
Highly productive fast-growing Eucalyptus plantations cover more than 5 million hectares in Brazil and exhibit very dynamic carbon fluxes throughout their 6-7 year rotations. These plantations quickly shift from C sources at the beginning of the rotation to large C sinks until harvest. In order to get a model simulating carbon pool and fluxes for both Eucalyptus plantations and other crops, we integrated several sub-models of the Eucalyptus-dedicated Generic Decomposition And Yield Model (G?DAY) into the large scale and multi-cover model Agro-IBIS (Integrated Biosphere Simulator). The G?DAY model was previously parametrized and validated using large experimental datasets obtained in commercial eucalypt plantations in the state of São Paulo. Implementing an Eucalyptus plantation cover type within AgroIBIS, which had no Plant Functional Type dedicated to fast-growing forest plantations, required important changes in the carbon allocation turnover sub-models. This study included three phases: (1) the computational modification of AgroIBIS; (2) the model parametrization, calibration and validation using data fromintensively monitored sites or inventories datasets; and (3) model application at regional scaleusing sets of parameters which were considered to be constant in space and/or time based on data from the local experiments, and other sets of parameters which could vary spatially. Carbon fluxes of Eucalyptus plantations were simulated at the regional scale, and their inter-annual and spatial variabilities were analysed. Such spatial and multiannual quantification of carbon fluxesat large scalesbrings a better understanding of these forest ecosystems on global carbon cycling, which is a prerequisite to support policy decisions. MenosHighly productive fast-growing Eucalyptus plantations cover more than 5 million hectares in Brazil and exhibit very dynamic carbon fluxes throughout their 6-7 year rotations. These plantations quickly shift from C sources at the beginning of the rotation to large C sinks until harvest. In order to get a model simulating carbon pool and fluxes for both Eucalyptus plantations and other crops, we integrated several sub-models of the Eucalyptus-dedicated Generic Decomposition And Yield Model (G?DAY) into the large scale and multi-cover model Agro-IBIS (Integrated Biosphere Simulator). The G?DAY model was previously parametrized and validated using large experimental datasets obtained in commercial eucalypt plantations in the state of São Paulo. Implementing an Eucalyptus plantation cover type within AgroIBIS, which had no Plant Functional Type dedicated to fast-growing forest plantations, required important changes in the carbon allocation turnover sub-models. This study included three phases: (1) the computational modification of AgroIBIS; (2) the model parametrization, calibration and validation using data fromintensively monitored sites or inventories datasets; and (3) model application at regional scaleusing sets of parameters which were considered to be constant in space and/or time based on data from the local experiments, and other sets of parameters which could vary spatially. Carbon fluxes of Eucalyptus plantations were simulated at the regional scale, and their inter-a... Mostrar Tudo |
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Palavras-Chave: |
Agro IBIS model. |
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Thesagro: |
Carbono; Eucalipto. |
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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/206949/1/RA-CabralOMR-XXV-IUFRO-2019-p255.pdf
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Marc: |
LEADER 02704nam a2200301 a 4500
001 2116798
005 2023-03-30
008 2019 bl uuuu u00u1 u #d
100 1 $aCOLMANETTI, M. A. A.
245 $aAdaptation of Agro-IBIS model for Eucalyptus carbon budget estimation at regional level$ba case study in São Paulo State, Brazil.$h[electronic resource]
260 $aPesquisa Florestal Brasileira, v. 39, e201902043, p. 255-256, 2019. Special issue. Abstracts of the XXV IUFRO World Congress$c2019
300 $a255
520 $aHighly productive fast-growing Eucalyptus plantations cover more than 5 million hectares in Brazil and exhibit very dynamic carbon fluxes throughout their 6-7 year rotations. These plantations quickly shift from C sources at the beginning of the rotation to large C sinks until harvest. In order to get a model simulating carbon pool and fluxes for both Eucalyptus plantations and other crops, we integrated several sub-models of the Eucalyptus-dedicated Generic Decomposition And Yield Model (G?DAY) into the large scale and multi-cover model Agro-IBIS (Integrated Biosphere Simulator). The G?DAY model was previously parametrized and validated using large experimental datasets obtained in commercial eucalypt plantations in the state of São Paulo. Implementing an Eucalyptus plantation cover type within AgroIBIS, which had no Plant Functional Type dedicated to fast-growing forest plantations, required important changes in the carbon allocation turnover sub-models. This study included three phases: (1) the computational modification of AgroIBIS; (2) the model parametrization, calibration and validation using data fromintensively monitored sites or inventories datasets; and (3) model application at regional scaleusing sets of parameters which were considered to be constant in space and/or time based on data from the local experiments, and other sets of parameters which could vary spatially. Carbon fluxes of Eucalyptus plantations were simulated at the regional scale, and their inter-annual and spatial variabilities were analysed. Such spatial and multiannual quantification of carbon fluxesat large scalesbrings a better understanding of these forest ecosystems on global carbon cycling, which is a prerequisite to support policy decisions.
650 $aCarbono
650 $aEucalipto
653 $aAgro IBIS model
700 1 $aCUADRA, S. V.
700 1 $aATTIA, A.
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 $aBORTOLUCCI, J.
700 1 $aPEREIRA, B.
700 1 $aMAIRE, G. Le
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Embrapa Meio Ambiente (CNPMA) |
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