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Registros recuperados : 85 | |
41. | ![Imagem marcado/desmarcado](/consulta/web/img/desmarcado.png) | GAUDENCIO, C. de A.; ABREO RODRIGUEZ, J. E.; SFREDO, G. J. Acompanhamento da agregação de Latossolo vermelho escuro distrófico, fase arenosa, no sistema de rotação de culturas anuais e pastagem, em semeadura direta, Sertaneja, PR. In: EMBRAPA SOJA. Resultados de pesquisa da Embrapa Soja, 1998. Londrina, 1999. p. 191-193. (Embrapa Soja. Documentos, 125). Biblioteca(s): Embrapa Soja. |
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42. | ![Imagem marcado/desmarcado](/consulta/web/img/desmarcado.png) | GAUDENCIO, C. de A.; SFREDO G. J.; ABREO RODRIGUEZ, J. E. Acompanhamento fisico-quimico de sistema misto lavoura e pastagem, Estancia Lagoa Serena, Sertaneja, PR. In: REUNIAO DE PESQUISA DE SOJA DA REGIAO CENTRAL DO BRASIL, 23., 2001, Londrina. Resumos... Londrina: Embrapa Soja, 2001. p.161-162. (Embrapa Soja. Documentos, 157). Biblioteca(s): Embrapa Soja. |
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43. | ![Imagem marcado/desmarcado](/consulta/web/img/desmarcado.png) | GAUDENCIO, C. de A.; SFREDO, G. J.; RODRIGUEZ, J. E. A. Acompanhamento físico-químico de sistema misto lavoura e pastagem, Estância Lagoa Serena, Sertaneja, PR. In: REUNIÃO DE PESQUISA DE SOJA DA REGIÃO SUL, 29., 2001, Porto Alegre. Atas e resumos 2001. Porto Alegre: FEPAGRO, 2001. p. 173. Biblioteca(s): Embrapa Soja. |
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46. | ![Imagem marcado/desmarcado](/consulta/web/img/desmarcado.png) | AGÜERO, C. B.; RODRÍGUEZ, J. G.; MARTÍNEZ, L. E.; DANGL, G. S.; MEREDITH, C. P. Identity and parentage of Torrontés cultivars in Argentina. American Journal of Enology and Viticulture, Davis, v. 54, n. 4, p. 318-321, 2003. Biblioteca(s): Embrapa Uva e Vinho. |
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47. | ![Imagem marcado/desmarcado](/consulta/web/img/desmarcado.png) | RODRIGUEZ, F.; KENNEDY, S.; BRYSON, T. D. G.; FERNANDEZ, A.; RODRIGUEZ, J. L. BALL, H. J. An immunohistochemical method of detecting mycoplasma species antigens by use of monoclonal antibodies on paraffin sections of pneumonic bovine and caprine lungs. Journal Veterinary Medicine, v. 43, n. 1/10, p. 429-438, Jan./Fev. 1996. Biblioteca(s): Embrapa Caprinos e Ovinos. |
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58. | ![Imagem marcado/desmarcado](/consulta/web/img/desmarcado.png) | GAUDENCIO, C. de A.; SFREDO, G. J.; ABREO RODRIGUEZ, J. E. Sistema misto lavoura e pastagem: acompanhamento físico-químico, em Estância Lagoa Serena, Sertaneja, PR. In: REUNIÃO DE PESQUISA DE SOJA DA REGIÃO CENTRAL DO BRASIL, 27., 2005. Cornélio Procópio. Resumos... Londrina: Embrapa Soja, 2005. p. 93-94. (Embrapa Soja. Documentos, 257). Organizado por Odilon Ferreira Saraiva, Janete Lasso Ortiz, Simone Ery Grosskopf. Biblioteca(s): Embrapa Soja. |
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60. | ![Imagem marcado/desmarcado](/consulta/web/img/desmarcado.png) | FITZPATRICK, L. C.; GOVEN, A. J.; EARLE, B.; RODRIGUEZ, J.; BRICENO, J.; VENABLES, B. J. Thermal acclimation, preference and effects on VO2 in the earthworm Lumbricus terrestris. Comp. Biochem. Physiol., v.87, n.4, p.1015-1016, 1987. Biblioteca(s): Embrapa Agrobiologia. |
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Registros recuperados : 85 | |
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Registro Completo
Biblioteca(s): |
Embrapa Agricultura Digital. |
Data corrente: |
14/06/2021 |
Data da última atualização: |
16/08/2021 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
B - 1 |
Autoria: |
SILVA, L. A. P. da; BOLFE, E. L.; SOUZA, C. M. P. de; FILGUEIRAS, R. |
Afiliação: |
LUCAS AUGUSTO PEREIRA DA SILVA, UFU; EDSON LUIS BOLFE, CNPTIA; CRISTIANO MARCELO PEREIRA DE SOUZA, UNIMONTES; ROBERTO FILGUEIRAS, UFV. |
Título: |
The sensitivity of evapotranspiration for land uses and topography in area of Cerrado Biome - Brazil. |
Ano de publicação: |
2021 |
Fonte/Imprenta: |
Espaço & Geografia, v. 24, n. 1, p. 132-148, 2021. |
Idioma: |
Inglês |
Conteúdo: |
Abstract: Evapotranspiration (ET) is a crucial element in the spatiotemporal dynamics of moisture, energy, and heat, and is related to climatic, pedogeomorphological, and phytophysiognomic aspects of the landscape. Therefore, estimating ET requires dynamic and integrated temporal analysis with biophysical landscape factors. The study aimed to analyze the behavior of ET through the analysis of land use and land cover and topographic in time series. The Simple Algorithm for Evapotranspiration Recovery (SAFER) model was used to obtain the variable ET in the periods of 01/21, 02/22, 05/13 and 06/30/2019 (variables). A database of explanatory covariates was constructed, including land use and land cover, satellite image data (Landsat-8) and digital elevation model (SRTM). The values of variables and covariates were extracted into a grid of points and separated for three altimetric conditions, and the linear Gaussian Models (GLM) were applied to the point data. The most explanatory spectral covariates for the ET variation were Albedo and Surface Temperature. And the covariates related to topography were Digital Elevation Model and Topographic Moisture Index. In general, the wet period presents a higher ET rate (2.06 mm d-¹). Forests generated the highest ET regardless of period (1.62 mm d-¹ to 4.03 mm d-¹). Elevated topography also influences the increase in ET in relation to the same lower altimetry classes (A2 and A3). This influence is associated with the altitude dynamics and intrinsic elements of the region, such as the marshy environment in the A3 region, where the highest ET values occurred. This work stands out from its peers for addressing the influence of landscape aspects on the knowledge of evapotranspiration variation, a vanguard theme in the scope of spatial analysis. MenosAbstract: Evapotranspiration (ET) is a crucial element in the spatiotemporal dynamics of moisture, energy, and heat, and is related to climatic, pedogeomorphological, and phytophysiognomic aspects of the landscape. Therefore, estimating ET requires dynamic and integrated temporal analysis with biophysical landscape factors. The study aimed to analyze the behavior of ET through the analysis of land use and land cover and topographic in time series. The Simple Algorithm for Evapotranspiration Recovery (SAFER) model was used to obtain the variable ET in the periods of 01/21, 02/22, 05/13 and 06/30/2019 (variables). A database of explanatory covariates was constructed, including land use and land cover, satellite image data (Landsat-8) and digital elevation model (SRTM). The values of variables and covariates were extracted into a grid of points and separated for three altimetric conditions, and the linear Gaussian Models (GLM) were applied to the point data. The most explanatory spectral covariates for the ET variation were Albedo and Surface Temperature. And the covariates related to topography were Digital Elevation Model and Topographic Moisture Index. In general, the wet period presents a higher ET rate (2.06 mm d-¹). Forests generated the highest ET regardless of period (1.62 mm d-¹ to 4.03 mm d-¹). Elevated topography also influences the increase in ET in relation to the same lower altimetry classes (A2 and A3). This influence is associated with the altitude dynamics and ... Mostrar Tudo |
Palavras-Chave: |
GLM; Hypsometric regions; Modelo Algoritmo Simples para Recuperação da Evapotranspiração; Modelo SAFER; Modelos Lineares Gaussianos; Regiões Altimétricas; Série temporal; Uso do solo. |
Thesagro: |
Cerrado; Cobertura do Solo; Evapotranspiração; Sensoriamento Remoto. |
Thesaurus NAL: |
Evapotranspiration; Land cover; Land use; Remote sensing. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/223736/1/AP-Sensitivity-evapotranspiration-2021.pdf
|
Marc: |
LEADER 02868naa a2200349 a 4500 001 2132273 005 2021-08-16 008 2021 bl uuuu u00u1 u #d 100 1 $aSILVA, L. A. P. da 245 $aThe sensitivity of evapotranspiration for land uses and topography in area of Cerrado Biome - Brazil.$h[electronic resource] 260 $c2021 520 $aAbstract: Evapotranspiration (ET) is a crucial element in the spatiotemporal dynamics of moisture, energy, and heat, and is related to climatic, pedogeomorphological, and phytophysiognomic aspects of the landscape. Therefore, estimating ET requires dynamic and integrated temporal analysis with biophysical landscape factors. The study aimed to analyze the behavior of ET through the analysis of land use and land cover and topographic in time series. The Simple Algorithm for Evapotranspiration Recovery (SAFER) model was used to obtain the variable ET in the periods of 01/21, 02/22, 05/13 and 06/30/2019 (variables). A database of explanatory covariates was constructed, including land use and land cover, satellite image data (Landsat-8) and digital elevation model (SRTM). The values of variables and covariates were extracted into a grid of points and separated for three altimetric conditions, and the linear Gaussian Models (GLM) were applied to the point data. The most explanatory spectral covariates for the ET variation were Albedo and Surface Temperature. And the covariates related to topography were Digital Elevation Model and Topographic Moisture Index. In general, the wet period presents a higher ET rate (2.06 mm d-¹). Forests generated the highest ET regardless of period (1.62 mm d-¹ to 4.03 mm d-¹). Elevated topography also influences the increase in ET in relation to the same lower altimetry classes (A2 and A3). This influence is associated with the altitude dynamics and intrinsic elements of the region, such as the marshy environment in the A3 region, where the highest ET values occurred. This work stands out from its peers for addressing the influence of landscape aspects on the knowledge of evapotranspiration variation, a vanguard theme in the scope of spatial analysis. 650 $aEvapotranspiration 650 $aLand cover 650 $aLand use 650 $aRemote sensing 650 $aCerrado 650 $aCobertura do Solo 650 $aEvapotranspiração 650 $aSensoriamento Remoto 653 $aGLM 653 $aHypsometric regions 653 $aModelo Algoritmo Simples para Recuperação da Evapotranspiração 653 $aModelo SAFER 653 $aModelos Lineares Gaussianos 653 $aRegiões Altimétricas 653 $aSérie temporal 653 $aUso do solo 700 1 $aBOLFE, E. L. 700 1 $aSOUZA, C. M. P. de 700 1 $aFILGUEIRAS, R. 773 $tEspaço & Geografia$gv. 24, n. 1, p. 132-148, 2021.
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