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Biblioteca(s): |
Embrapa Agrobiologia. |
Data corrente: |
14/05/2010 |
Data da última atualização: |
18/05/2010 |
Tipo da produção científica: |
Resumo em Anais de Congresso |
Autoria: |
GONÇALO, T. P.; SILVA, J. R. da; SILVA, H. A. P. da; GALISA, P. de S.; VIDAL, M. S.; SIMÕES ARAÚJO, J. L. |
Afiliação: |
Túlio Porto Gonçalo, UFRRJ; José Rodrigo da Silva, UFRRJ; Helder Anderson P. da Silva, UFRRJ; Péricles de Souza Galisa, UFRRJ; MARCIA SOARES VIDAL, CNPAB; Jean Luiz Simões Araújo, CNPAB. |
Título: |
Isolamento e caracterização de genes do feijoeiro envolvidos na simbiose com o Rhizobium tropici. |
Ano de publicação: |
2009 |
Fonte/Imprenta: |
In: SEMANA CIENTÍFICA JOHANNA DOBEREINER, 9., 19 a 23 de outubro de 2009, Seropédica. Ciência no Brasil: desafios, avanços e aplicações. Seropédica: Embrapa Agrobiologia, 2009. |
Idioma: |
Português |
Thesagro: |
Feijão. |
Categoria do assunto: |
-- |
Marc: |
LEADER 00683naa a2200181 a 4500 001 1853011 005 2010-05-18 008 2009 bl --- 0-- u #d 100 1 $aGONÇALO, T. P. 245 $aIsolamento e caracterização de genes do feijoeiro envolvidos na simbiose com o Rhizobium tropici. 260 $c2009 650 $aFeijão 700 1 $aSILVA, J. R. da 700 1 $aSILVA, H. A. P. da 700 1 $aGALISA, P. de S. 700 1 $aVIDAL, M. S. 700 1 $aSIMÕES ARAÚJO, J. L. 773 $tIn: SEMANA CIENTÍFICA JOHANNA DOBEREINER, 9., 19 a 23 de outubro de 2009, Seropédica. Ciência no Brasil: desafios, avanços e aplicações. Seropédica: Embrapa Agrobiologia, 2009.
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Embrapa Agrobiologia (CNPAB) |
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Registro Completo
Biblioteca(s): |
Embrapa Amazônia Oriental. |
Data corrente: |
05/09/2008 |
Data da última atualização: |
23/11/2022 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
Internacional - A |
Autoria: |
DAVIDSON, E. A.; ASNER, G. P.; STONE, T. A.; NEILL, C.; FIGUEIREDO, R. de O. |
Afiliação: |
Eric A. Davidson, Woods Hole Research Center; Gregory P. Asner, Carnegie Institute; Thomas A. Stone, Woods Hole Research Center; Christopher Neill, Marine Biological Laboratory; RICARDO DE OLIVEIRA FIGUEIREDO, CPATU. |
Título: |
Objective indicators of pasture degradation from spectral mixture analysis of landsat imagery. |
Ano de publicação: |
2008 |
Fonte/Imprenta: |
Journal of Geophysical Research: Biogeosciences, v.113, n. G1, Mar. 2008. |
DOI: |
10.1029/2007JG000622 |
Idioma: |
Inglês |
Conteúdo: |
Degradation of cattle pastures is a management concern that influences future land use in Amazonia. However, ?degradation? is poorly defined and has different meanings for ranchers, ecologists, and policy makers. Here we analyze pasture degradation using objective scalars of photosynthetic vegetation (PV), nonphotosynthetic vegetation (NPV), and exposed soil (S) derived from Landsat imagery. A general, probabilistic spectral mixture model decomposed satellite spectral reflectance measurements into subpixel estimates of PV, NPV, and S covers at ranches in western and eastern Amazonia. Most pasture management units at all ranches fell along a single line of decreasing PV with increasing NPV and S, which could be considered a degradation continuum. The ranch with the highest stocking densities and most intensive management had greater NPV and S than a less intensively managed ranch. The number of liming, herbiciding, and disking treatments applied to each pasture management unit was positively correlated with NPV and negatively correlated with PV. Although these objective scalars revealed signs of degradation, intensive management kept exposed soil to <40% cover and maintained economically viable cattle production over several decades. In ranches with few management inputs, the high PV cover in young pastures declined with increasing pasture age, while NPV and S increased, even where grazing intensity was low. Both highly productive pastures and vigorous regrowth of native vegetation cause high PV values. Analysis of spectral properties holds promise for identifying areas where grazing intensity has exceeded management inputs, thus increasing coverage of senescent foliage and exposed soil. MenosDegradation of cattle pastures is a management concern that influences future land use in Amazonia. However, ?degradation? is poorly defined and has different meanings for ranchers, ecologists, and policy makers. Here we analyze pasture degradation using objective scalars of photosynthetic vegetation (PV), nonphotosynthetic vegetation (NPV), and exposed soil (S) derived from Landsat imagery. A general, probabilistic spectral mixture model decomposed satellite spectral reflectance measurements into subpixel estimates of PV, NPV, and S covers at ranches in western and eastern Amazonia. Most pasture management units at all ranches fell along a single line of decreasing PV with increasing NPV and S, which could be considered a degradation continuum. The ranch with the highest stocking densities and most intensive management had greater NPV and S than a less intensively managed ranch. The number of liming, herbiciding, and disking treatments applied to each pasture management unit was positively correlated with NPV and negatively correlated with PV. Although these objective scalars revealed signs of degradation, intensive management kept exposed soil to <40% cover and maintained economically viable cattle production over several decades. In ranches with few management inputs, the high PV cover in young pastures declined with increasing pasture age, while NPV and S increased, even where grazing intensity was low. Both highly productive pastures and vigorous regrowth of native vege... Mostrar Tudo |
Thesagro: |
Análise do Solo; Deterioração do Solo; Pastagem; Solo; Uso da Terra. |
Categoria do assunto: |
-- |
Marc: |
LEADER 02443naa a2200241 a 4500 001 1407127 005 2022-11-23 008 2008 bl uuuu u00u1 u #d 024 7 $a10.1029/2007JG000622$2DOI 100 1 $aDAVIDSON, E. A. 245 $aObjective indicators of pasture degradation from spectral mixture analysis of landsat imagery.$h[electronic resource] 260 $c2008 520 $aDegradation of cattle pastures is a management concern that influences future land use in Amazonia. However, ?degradation? is poorly defined and has different meanings for ranchers, ecologists, and policy makers. Here we analyze pasture degradation using objective scalars of photosynthetic vegetation (PV), nonphotosynthetic vegetation (NPV), and exposed soil (S) derived from Landsat imagery. A general, probabilistic spectral mixture model decomposed satellite spectral reflectance measurements into subpixel estimates of PV, NPV, and S covers at ranches in western and eastern Amazonia. Most pasture management units at all ranches fell along a single line of decreasing PV with increasing NPV and S, which could be considered a degradation continuum. The ranch with the highest stocking densities and most intensive management had greater NPV and S than a less intensively managed ranch. The number of liming, herbiciding, and disking treatments applied to each pasture management unit was positively correlated with NPV and negatively correlated with PV. Although these objective scalars revealed signs of degradation, intensive management kept exposed soil to <40% cover and maintained economically viable cattle production over several decades. In ranches with few management inputs, the high PV cover in young pastures declined with increasing pasture age, while NPV and S increased, even where grazing intensity was low. Both highly productive pastures and vigorous regrowth of native vegetation cause high PV values. Analysis of spectral properties holds promise for identifying areas where grazing intensity has exceeded management inputs, thus increasing coverage of senescent foliage and exposed soil. 650 $aAnálise do Solo 650 $aDeterioração do Solo 650 $aPastagem 650 $aSolo 650 $aUso da Terra 700 1 $aASNER, G. P. 700 1 $aSTONE, T. A. 700 1 $aNEILL, C. 700 1 $aFIGUEIREDO, R. de O. 773 $tJournal of Geophysical Research: Biogeosciences$gv.113, n. G1, Mar. 2008.
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