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| Registros recuperados : 181 | |
| 161. |  | ANDRADE, R. G.; TEIXEIRA, A. H. de C.; SANO, E. E.; LEIVAS, J. F.; VICTORIA, D. de C.; NOGUEIRA, S. F. Evapotranspiração em pastagens com indicativos de degradação na bacia hidrográfica do alto Tocantins. In: INOVAGRI INTERNATIONAL MEETING, 2., 2014, Fortaleza. Anais... Fortaleza: INOVAGRI, 2014. p. 3052-3059.| Biblioteca(s): Embrapa Territorial. |
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| 162. | | ANDRADE, R. G.; LEIVAS, J. F.; ALVAREZ, I. A.; VICENTE, L. E.; NOGUEIRA, S. F.; HOTT, M. C.; TAKEMURA, C. M.; LOEBMANN, D. G. dos S. W. Evapotranspiration estimation in pastures at the municipality of Campo Grande, Brazil, using SEBAL and remote sensing data. In: AGU FALL MEETING, 2011, San Francisco. Anais... San Francisco: AGU, 2011.| Biblioteca(s): Embrapa Territorial. |
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| 163. | | ANDRADE, R. G.; LEIVAS, J. F.; ALVAREZ, I. A.; VICENTE, L. E.; NOGUEIRA, S. F.; HOTT, M. C.; TAKEMURA, C. M.; LOEBMANN, D. G. dos S. W. Evapotranspiration estimation in pastures at the municipality of Campo Grande, Brazil, using SEBAL and remote sensing data. In: AGU FALL MEETING, 2011, San Francisco. Anais... San Francisco: AGU, 2011.| Biblioteca(s): Embrapa Gado de Leite. |
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| 164. | | TEIXEIRA, A. H. DE C.; QUARTAROLI, C. F.; TAKEMURA, C. M.; GARCON, E. A. M.; ALVAREZ, I. A.; LEIVAS, J. F. Geotecnologias para caracterização biofísica da região do circuito das frutas de São Paulo. In: SIMPÓSIO BRASILEIRO DE GEOGRAFIA FÍSICA APLICADA, 18., 2019, Fortaleza, CE. Anais... Fortaleza: UFC, 2019. 12 p.| Biblioteca(s): Embrapa Territorial. |
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| 165. | | GARCON, E. A. M.; ALVAREZ, I. A.; LEIVAS, J. F.; RONQUIM, C. C.; TAKEMURA, C. M.; RODRIGUES, C. A. G.; QUARTAROLI, C. F.; TEIXEIRA, A. H. DE C. Identificação de conflitos no uso das terras em áreas de risco no município de Campinas - SP. In: SIMPÓSIO DE RECURSOS HÍDRICOS DO NORDESTE, 25., 2023, Aracajú. Anais... Aracajú: Associação Brasileira de Recursos Hídricos, 2023. 6 p.| Biblioteca(s): Embrapa Meio Ambiente; Embrapa Territorial. |
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| 166. | | TEIXEIRA, A. H. de C.; VICTORIA, D. de C.; ANDRADE, R. G.; LEIVAS, J. F.; BOLFE, E. L.; CRUZ, C. R. Coupling MODIS images and agrometeorological data for agricultural water productivity analyses in the Mato Grosso State, Brazil. Remote Sensing for Agriculture, Ecosystems, and Hydrology, v. 9239, p. 92390W-1-92390W-4,2014. Presented at the 16th Remote Sensing for Agriculture, Ecosystems, and Hydrology.| Biblioteca(s): Embrapa Territorial. |
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| 167. | | TEIXEIRA, A. H. de C.; HERNANDEZ, F. B. T.; ANDRADE, R. G.; LEIVAS, J. F.; VICTORIA, D. de C.; BOLFE, E. L. Corn water variables assessments from earth observation data in the São Paulo State, Southeast Brazil. Journal of Hydraulic Engineering, v. 1, p. 1-11, 2015.| Biblioteca(s): Embrapa Territorial. |
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| 168. | | ANDRADE, R. G.; TEIXEIRA, A. H. de C.; SANO, E. E.; LEIVAS, J. F.; VICTORIA, D. de C.; NOGUEIRA, S. F. Pasture evapotranspiration as indicators of degradation in the Brazilian Savanna. A case study for Alto Tocantins watershed. Proceedings of SPIE, v. 9239, p. 92391Z-1 - 92391Z-7, 2014. Presented at the 16th Remote Sensing for Agriculture, Ecosystems, and Hydrology.| Biblioteca(s): Embrapa Territorial. |
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| 170. | | TEIXEIRA, A. H. de C.; SIMAO, F. R.; LEIVAS, J. F.; GOMIDE, R. L.; REIS, J. B. R. da S.; KOBAYASHI, M. K.; OLIVEIRA, F. G. Water Productivity Modeling by Remote Sensing in the Semiarid Region of Minas Gerais State, Brazil. In: ARMAN, H.; YUKSEL, I. (Ed.). Arid Environments and Sustainability. London: IntchOpen, 2018. cap. 5.| Biblioteca(s): Embrapa Milho e Sorgo; Embrapa Tabuleiros Costeiros; Embrapa Territorial. |
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| 171. | | TEIXEIRA, A. H. de C.; TAKEMURA, C. M.; LEIVAS, J. F.; PACHECO, E. P.; SILVA, G. B. S. da; GARCON, E. A. M. Water productivity monitoring by using geotechnological tools in contrasting social and environmental conditions: applications in the São Francisco River basin, Brazil. Remote Sensing Applications: Society and Environment, v. 18, p. 1-9, Article 100296, 2020.| Biblioteca(s): Embrapa Meio Ambiente; Embrapa Tabuleiros Costeiros; Embrapa Territorial. |
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| 172. | | TEIXEIRA, A. H. de C.; LEIVAS, J. F.; ANDRADE, R. G.; VICTORIA, D. de C.; BOLFE, E. L.; SILVA, G. B. S. da. Water balance indicators from MODIS images and agrometeorological data in Minas Gerais state, Brazil. Proceedings of SPIE - International Society for Optical Engineering, v. 9637, p. 96370O-1-96370O-14, 2015.| Biblioteca(s): Embrapa Territorial. |
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| 173. | | ANDRADE, R. G.; VICENTE, L. E.; TEIXEIRA, A. H. de C.; LEIVAS, J. F.; VICTORIA, D. de C.; ROGGIA, S.; FRANCHINI, J. C. Uso do sensoriamento remoto na obtenção de parâmetros biofísicos em plantios de soja. In: BERNARDI, A. C. de C.; NAIME, J. de M.; RESENDE, A. V. de; BASSOI, L. H.; INAMASU, R. Y. (Ed.). Agricultura de precisão: resultados de um novo olhar. Brasília, DF: Embrapa, 2014. p. 239-245| Biblioteca(s): Embrapa Soja; Embrapa Territorial. |
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| 174. | | ANDRADE, R. G.; LEIVAS, J. F.; GARCON, E. A. M.; SILVA, G. B. S. da; LOEBMANN, D. G. dos S. W.; VICENTE, L. E.; BOLFE, E. L.; VICTORIA, D. de C. Indicativo de degradação de pastagens a partir de dados Spot Vegetation. In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 16., 2013, Foz do Iguaçú. Anais... São José dos Campos: INPE, 2013. p. 6917-6922| Biblioteca(s): Embrapa Territorial. |
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| 175. | | ANDRADE, R. G.; TEIXEIRA, A. H. de C.; LEIVAS, J. F.; SILVA, G. B. S. da; NOGUEIRA, S. F.; VICTORIA, D. de C.; VICENTE, L. E.; BOLFE, E. L. Indicativo de pastagens plantadas em processo de degradação no bioma Cerrado. In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 17., 2015, João Pessoa. Anais... São José dos Campos: INPE, 2015. p. 1585-1592.| Biblioteca(s): Embrapa Territorial. |
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| 176. | | LEIVAS, J. F.; TEIXEIRA, A. H. DE C.; TAKEMURA, C. M.; BOGIANI, J. C.; BARROSO, P. A. V.; GARCON, E. A. M.; CUSTODIO, D. de O.; LOVISI FILHO, E.; PAIM, F. A. de P. MonitoraOeste - mobile app com informações georreferenciadas de agrometeorologia espectral e ocorrência de pragas e doenças na soja e algodão. In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 20., 2023, Florianópolis. Anais [...]. São José dos Campos: Instituto Nacional de Pesquisas Espaciais, 2023. p. 626-629.| Biblioteca(s): Embrapa Territorial. |
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| 177. | | ZUCCARI, M. L.; FIGUEIREDO, R. de O.; COSTA, C. F. G.; CAMARGO, P. B. de; SCANAVACA JUNIOR, L.; TORRESAN, F. E.; PICCOLO, M. C.; REIS, L. C.; LEIVAS, J. F. Fatores abióticos no monitoramento nas bacias hidrográficas dos rios Camanducaia e Jaguari. In: SEMINÁRIO DA REDE AGROHIDRO, 3.; WORKSHOP DO PROJETO OS IMPACTOS DA AGRICULTURA E DAS MUDANÇAS CLIMÁTICAS NOS RECURSOS HÍDRICOS, 1., 2015, Corumbá, MS. Água na agricultura: desafios frente às mudanças climáticas e de uso da terra: resumos. Corumbá: Embrapa Pantanal, 2015. 45| Biblioteca(s): Embrapa Meio Ambiente; Embrapa Territorial. |
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| 178. | | GREGO, C. R.; LONG, R. M.; VICENTE, L. E.; LOEBMANN, D. G. dos S. W.; VEDOVATO, L. B.; OLIVEIRA, B. P. de; LEIVAS, J. F.; VICTORIA, D. de C. Otimização de modelo digital de elevação - ASTER utilizando análise geoestatística. In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 16., 2013, Foz do Iguaçú. Anais... São José dos Campos: INPE, 2013. p. 1237-1243. 1 CD-ROM| Biblioteca(s): Embrapa Territorial. |
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| 179. | | TEIXEIRA, A. H. de C.; HERNANDEZ, F. B. T.; SCHERER-WARREN, M.; ANDRADE, R. G.; LEIVAS, J. F.; VICTORIA, D. de C.; BOLFE, E. L.; THENKABAIL, P. S.; FRANCO, R. A. M. Water productivity studies from earth observation data: characterization, modeling, and mapping water use and water productivity. In: THENKABAIL, P. S. (Ed.). Remote sensing of water Resources, disasters, and urban Studies. Abingdon: Taylor & Francis Group, 2015. 1 p. 107-137| Biblioteca(s): Embrapa Territorial. |
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| 180. | | BOGIANI, J. C.; KANO, C.; BARROSO, P. A. V.; PAIM, F. A. de P.; PERINA, F. J.; LOVISI FILHO, E.; CUSTODIO, D. de O.; LEIVAS, J. F.; TAKEMURA, C. M.; GARCON, E. A. M.; FURTADO, A. L. dos S.; MOTA, J. C. Monitora Oeste: uma ferramenta digital para o monitoramento fitossanitário e agrometeorológico no Extremo Oeste Baiano. Campinas: Embrapa Territorial, 2023. 20 p. (Embrapa Territorial. Documentos, 149) ODS 2| Biblioteca(s): Embrapa Algodão; Embrapa Territorial. |
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| Registros recuperados : 181 | |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Agricultura Digital. Para informações adicionais entre em contato com cnptia.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
20/09/2023 |
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Data da última atualização: |
03/10/2023 |
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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: |
DIAS, H. B.; CUADRA, S. V.; BOOTE, K. J.; LAMPARELLI, R. A. C.; FIGUEIREDO, G. K. D. A.; SUYKER, A. E.; MAGALHÃES, P. S. G.; HOOGENBOOM, G. |
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Afiliação: |
HENRIQUE BORIOLO DIAS, UNIVERSIDADE ESTADUAL DE CAMPINAS; SANTIAGO VIANNA CUADRA, CNPTIA; KENNETH J. BOOTE, UNIVERSITY OF FLORIDA; RUBENS AUGUSTO CAMARGO LAMPARELLI, UNIVERSIDADE ESTADUAL DE CAMPINAS; GLEYCE KELLY DANTAS ARAÚJO FIGUEIREDO, UNIVERSIDADE ESTADUAL DE CAMPINAS; ANDREW E. SUYKER, UNIVERSITY OF NEBRASKA; PAULO SÉRGIO GRAZIANO MAGALHÃES, UNIVERSIDADE ESTADUAL DE CAMPINAS; GERRIT HOOGENBOOM, UNIVERSITY OF FLORIDA. |
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Título: |
Coupling the CSM-CROPGRO-Soybean crop model with the ECOSMOS Ecosystem Model: an evaluation with data from an AmeriFlux site. |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
Agricultural and Forest Meteorology, v. 342, 109697, 2023. |
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ISSN: |
0168-1923 |
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DOI: |
http://dx.doi.org/10.1016/j.agrformet.2023.109697 |
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Idioma: |
Inglês |
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Conteúdo: |
Abstract: Process-based simulation models, such as land surface (LSM) and crop models, are useful tools for studying the impacts of the environment, management and genotype on agricultural production. LSM are capable of simulating crop development and growth, but not in as much detail as the processes embedded in crop models. Crop models, on the other hand, do not usually have the ability to solve the surface water, energy and carbon balances, which can help to assess the feedbacks between climate and agricultural systems. The goals of this study were first to implement the well-known Cropping System Model (CSM)-CROPGRO-Soybean model of the Decision Support System for Agrotechnology Transfer (DSSAT) into the Ecosystem Model Simulator (ECOSMOS) LSM and then to evaluate this coupling to simulate surface fluxes and crop performance of irrigated and rainfed soybean agroecosystems with comprehensive data from an AmeriFlux site. After model coupling, simulations were benchmarked against multiple flux (carbon dioxide, energy, and water), phenology, growth, and yield observations obtained from field scale experiments across 14 seasons from irrigated and rainfed fields near Mead, Nebraska. Calibration of the physiological parameters of ECOSMOS and of the CROPGRO-Soybean genetic coefficients was conducted. Common metrics were employed to assess model performance. Overall, the coupled model reproduced both the magnitude and seasonal patterns of the energy balance, carbon dioxide exchange, evapotranspiration and soil water balance. The crop model coupling into ECOSMOS preserves the known high skill of the CROPGRO-Soybean model in simulating soybean phenology and growth dynamics. The simulated yields were consistent with the observations at field level. Although the ECOSMOS-CROPGRO-Soybean model is sufficiently robust to simulate surface fluxes and crop performance of soybean agroecosystems at field scale for the environments of eastern Nebraska, further evaluation for a wide range of climatic and soil conditions and management practices is warranted. MenosAbstract: Process-based simulation models, such as land surface (LSM) and crop models, are useful tools for studying the impacts of the environment, management and genotype on agricultural production. LSM are capable of simulating crop development and growth, but not in as much detail as the processes embedded in crop models. Crop models, on the other hand, do not usually have the ability to solve the surface water, energy and carbon balances, which can help to assess the feedbacks between climate and agricultural systems. The goals of this study were first to implement the well-known Cropping System Model (CSM)-CROPGRO-Soybean model of the Decision Support System for Agrotechnology Transfer (DSSAT) into the Ecosystem Model Simulator (ECOSMOS) LSM and then to evaluate this coupling to simulate surface fluxes and crop performance of irrigated and rainfed soybean agroecosystems with comprehensive data from an AmeriFlux site. After model coupling, simulations were benchmarked against multiple flux (carbon dioxide, energy, and water), phenology, growth, and yield observations obtained from field scale experiments across 14 seasons from irrigated and rainfed fields near Mead, Nebraska. Calibration of the physiological parameters of ECOSMOS and of the CROPGRO-Soybean genetic coefficients was conducted. Common metrics were employed to assess model performance. Overall, the coupled model reproduced both the magnitude and seasonal patterns of the energy balance, carbon dioxide exchan... Mostrar Tudo |
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Palavras-Chave: |
CO2 exchange; Crop modelling. |
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Thesagro: |
Dióxido de Carbono; Evapotranspiração; Fenologia; Modelo de Simulação; Produtividade; Soja. |
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Thesaurus NAL: |
Crop models; Eddy covariance; Evapotranspiration; Plant growth; Simulation models; Soybeans. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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Marc: |
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001 2156796
005 2023-10-03
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022 $a0168-1923
024 7 $ahttp://dx.doi.org/10.1016/j.agrformet.2023.109697$2DOI
100 1 $aDIAS, H. B.
245 $aCoupling the CSM-CROPGRO-Soybean crop model with the ECOSMOS Ecosystem Model$ban evaluation with data from an AmeriFlux site.$h[electronic resource]
260 $c2023
520 $aAbstract: Process-based simulation models, such as land surface (LSM) and crop models, are useful tools for studying the impacts of the environment, management and genotype on agricultural production. LSM are capable of simulating crop development and growth, but not in as much detail as the processes embedded in crop models. Crop models, on the other hand, do not usually have the ability to solve the surface water, energy and carbon balances, which can help to assess the feedbacks between climate and agricultural systems. The goals of this study were first to implement the well-known Cropping System Model (CSM)-CROPGRO-Soybean model of the Decision Support System for Agrotechnology Transfer (DSSAT) into the Ecosystem Model Simulator (ECOSMOS) LSM and then to evaluate this coupling to simulate surface fluxes and crop performance of irrigated and rainfed soybean agroecosystems with comprehensive data from an AmeriFlux site. After model coupling, simulations were benchmarked against multiple flux (carbon dioxide, energy, and water), phenology, growth, and yield observations obtained from field scale experiments across 14 seasons from irrigated and rainfed fields near Mead, Nebraska. Calibration of the physiological parameters of ECOSMOS and of the CROPGRO-Soybean genetic coefficients was conducted. Common metrics were employed to assess model performance. Overall, the coupled model reproduced both the magnitude and seasonal patterns of the energy balance, carbon dioxide exchange, evapotranspiration and soil water balance. The crop model coupling into ECOSMOS preserves the known high skill of the CROPGRO-Soybean model in simulating soybean phenology and growth dynamics. The simulated yields were consistent with the observations at field level. Although the ECOSMOS-CROPGRO-Soybean model is sufficiently robust to simulate surface fluxes and crop performance of soybean agroecosystems at field scale for the environments of eastern Nebraska, further evaluation for a wide range of climatic and soil conditions and management practices is warranted.
650 $aCrop models
650 $aEddy covariance
650 $aEvapotranspiration
650 $aPlant growth
650 $aSimulation models
650 $aSoybeans
650 $aDióxido de Carbono
650 $aEvapotranspiração
650 $aFenologia
650 $aModelo de Simulação
650 $aProdutividade
650 $aSoja
653 $aCO2 exchange
653 $aCrop modelling
700 1 $aCUADRA, S. V.
700 1 $aBOOTE, K. J.
700 1 $aLAMPARELLI, R. A. C.
700 1 $aFIGUEIREDO, G. K. D. A.
700 1 $aSUYKER, A. E.
700 1 $aMAGALHÃES, P. S. G.
700 1 $aHOOGENBOOM, G.
773 $tAgricultural and Forest Meteorology$gv. 342, 109697, 2023.
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