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Registro Completo |
Biblioteca(s): |
Embrapa Amapá. |
Data corrente: |
25/02/2016 |
Data da última atualização: |
04/03/2016 |
Tipo da produção científica: |
Resumo em Anais de Congresso |
Autoria: |
RODRIGUES, D. M. de S.; MELEM JÚNIOR, N. J.; BORGES, W. L. |
Afiliação: |
Danielle Miranda de Souza Rodrigues, UNIFAP, Macapá, AP; NAGIB JORGE MELEM JUNIOR, CPAF-AP; WARDSSON LUSTRINO BORGES, CPAF-AP. |
Título: |
Uso de sedimento do Rio Amazonas na correção e adubação de feijão-caupi. |
Ano de publicação: |
2015 |
Fonte/Imprenta: |
In: JORNADA CIENTÍFICA DA EMBRAPA AMAPÁ, 1., 2015, Macapá. Resumos... Macapá: Embrapa Amapá, 2015. |
Idioma: |
Português |
Notas: |
1 CD ROM. |
Palavras-Chave: |
Condicionador de solo; Silte. |
Thesagro: |
Corretivo; Nitrôgenio. |
Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/140151/1/CPAF-AP-2015-Jornada-Uso-de-sedimento-do-rio-amazonas.pdf
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Marc: |
LEADER 00604nam a2200181 a 4500 001 2038682 005 2016-03-04 008 2015 bl uuuu u00u1 u #d 100 1 $aRODRIGUES, D. M. de S. 245 $aUso de sedimento do Rio Amazonas na correção e adubação de feijão-caupi.$h[electronic resource] 260 $aIn: JORNADA CIENTÍFICA DA EMBRAPA AMAPÁ, 1., 2015, Macapá. Resumos... Macapá: Embrapa Amapá$c2015 500 $a1 CD ROM. 650 $aCorretivo 650 $aNitrôgenio 653 $aCondicionador de solo 653 $aSilte 700 1 $aMELEM JÚNIOR, N. J. 700 1 $aBORGES, W. L.
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Embrapa Amapá (CPAF-AP) |
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Registro Completo
Biblioteca(s): |
Embrapa Meio Ambiente. |
Data corrente: |
10/01/2019 |
Data da última atualização: |
30/01/2019 |
Tipo da produção científica: |
Resumo em Anais de Congresso |
Autoria: |
GREEN, T. R.; ERSKINE, R. H; DAVID, O.; KIPKA, H.; LIGHTHART, N.; McMASTER, G. S.; CRUZ, P. P. N. da; FIGUEIREDO, R. de O. |
Afiliação: |
Timothy R. Green, USDA-ARS, Center for Agricultural Resources Research, Fort Collins, Colorado, USA; Robert H. Erskine, USDA-ARS, Center for Agricultural Resources Research, Fort Collins, Colorado, USA; Olaf David, Colorado State University, Fort Collins, CO, USA; HOLM KIPKA, Colorado State University, Fort Collins, CO, USA; Nathan Lighthart, Colorado State University, Fort Collins, CO, USA; Gregory S. McMaster, USDA-ARS, Center for Agricultural Resources Research, Fort Collins, Colorado, USA; Patricia Porta Nova da Cruz; RICARDO DE OLIVEIRA FIGUEIREDO, CNPMA. |
Título: |
The Agricultural Ecosystems Services (AgES) watershed model is used to estimate the spatial complexity of soil hydraulic properties in a field-scale agricultural watershed, Colorado, USA. |
Ano de publicação: |
2018 |
Fonte/Imprenta: |
In: WORLD CONGRESS OF SOIL SCIENCE, 21., 2018, Rio de Janeiro. Soil science: beyond food and fuel: abstracts. Viçosa, MG: SBCS, 2018. Trabalho 1014. |
Idioma: |
Português |
Conteúdo: |
Soil hydraulic properties that control water storage flow rates can vary markedly in space, and surface layers may vary temporally due to management events, reconsolidation and biological activity. Field measurements are expensive to collect and generally reveal complex variability that is difficult to fully characterize. Yet, these soil properties are represented using model parameters that may strongly affect simulated flows and the distribution of soil water in space and time. Thus model calibration using available measurements of soil moisture and surface runoff is essential. Here, we address the level of calibration detail needed to estimate available data by using five levels of spatial complexity in the calibrated soil parameters. Results are also explored to address issues of spatial scaling. Furthermore, a new model component of temporal changes in soil porosity and saturated hydraulic conductivity is tested to simulate effects of tillage and soil consolidation related to rainfall. Interactions between spatial and temporal parameters and processes will be discussed in terms of their influences on simulated soil moisture patterns and surface runoff. Non-uniqueness of the estimated parameter sets is recognized, but further work is needed to better quantify the information content of data needed to infer unique space-time patterns of the estimated soil hydraulic properties. |
Palavras-Chave: |
Agricultural watershed; Spatial variability; Temporal dynamics. |
Thesaurus NAL: |
soil hydraulic properties. |
Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/190322/1/RA-FigueiredoRO-21WCSS-2018-Trabalho-1014.pdf
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Marc: |
LEADER 02335nam a2200241 a 4500 001 2103538 005 2019-01-30 008 2018 bl uuuu u00u1 u #d 100 1 $aGREEN, T. R. 245 $aThe Agricultural Ecosystems Services (AgES) watershed model is used to estimate the spatial complexity of soil hydraulic properties in a field-scale agricultural watershed, Colorado, USA.$h[electronic resource] 260 $aIn: WORLD CONGRESS OF SOIL SCIENCE, 21., 2018, Rio de Janeiro. Soil science: beyond food and fuel: abstracts. Viçosa, MG: SBCS, 2018. Trabalho 1014.$c1014 520 $aSoil hydraulic properties that control water storage flow rates can vary markedly in space, and surface layers may vary temporally due to management events, reconsolidation and biological activity. Field measurements are expensive to collect and generally reveal complex variability that is difficult to fully characterize. Yet, these soil properties are represented using model parameters that may strongly affect simulated flows and the distribution of soil water in space and time. Thus model calibration using available measurements of soil moisture and surface runoff is essential. Here, we address the level of calibration detail needed to estimate available data by using five levels of spatial complexity in the calibrated soil parameters. Results are also explored to address issues of spatial scaling. Furthermore, a new model component of temporal changes in soil porosity and saturated hydraulic conductivity is tested to simulate effects of tillage and soil consolidation related to rainfall. Interactions between spatial and temporal parameters and processes will be discussed in terms of their influences on simulated soil moisture patterns and surface runoff. Non-uniqueness of the estimated parameter sets is recognized, but further work is needed to better quantify the information content of data needed to infer unique space-time patterns of the estimated soil hydraulic properties. 650 $asoil hydraulic properties 653 $aAgricultural watershed 653 $aSpatial variability 653 $aTemporal dynamics 700 1 $aERSKINE, R. H 700 1 $aDAVID, O. 700 1 $aKIPKA, H. 700 1 $aLIGHTHART, N. 700 1 $aMcMASTER, G. S. 700 1 $aCRUZ, P. P. N. da 700 1 $aFIGUEIREDO, R. de O.
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