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Registro Completo |
Biblioteca(s): |
Embrapa Amazônia Ocidental; Embrapa Clima Temperado; Embrapa Pantanal; Embrapa Roraima; Embrapa Unidades Centrais; Embrapa Uva e Vinho. |
Data corrente: |
15/05/1996 |
Data da última atualização: |
21/07/2022 |
Autoria: |
VALDEBENITO SANHUEZA, R. M. |
Afiliação: |
ROSA MARIA VALDEBENITO SANHUEZA, CPACT. |
Título: |
Podridão de raízes da macieira guia para diagnóstico. |
Ano de publicação: |
1988 |
Fonte/Imprenta: |
Pelotas: EMBRAPA-CNPFT, 1988. |
Páginas: |
16 p. |
Série: |
(EMBRAPA-CNPFT. Documentos, 32). |
Idioma: |
Português |
Conteúdo: |
Sintomas na parte aérea; Podridão por Armillariella; Podridão do colo e raizes, (Phytophthora); Roselliniose; Xilariose; Podridao por Sclerotium; Podridao branca por Corticium; Podridao por Rhizoctonia e Fusarium sp. |
Palavras-Chave: |
Apple tree; Armillariella mellea; Brasil; Diagnostic; Disease; Macieira; Pelotas; Phytophthora cactarum; Podridãoo; Raizes; Rio Grande do Sul; Root; Symptoms. |
Thesagro: |
Controle Cultural; Controle Químico; Diagnostico; Doença de Planta; Fruticultura; Fungo; Maçã; Malus Domestica; Phytophthora; Podridão; Podridão da Raiz; Raiz; Sclerotium Rolfsii; Sintoma. |
Thesaurus Nal: |
chemical control; cultural control; Rosellinia necatrix; Xylaria mali. |
Categoria do assunto: |
-- |
Marc: |
LEADER 01482nam a2200505 a 4500 001 1743148 005 2022-07-21 008 1988 bl uuuu u0uu1 u #d 100 1 $aVALDEBENITO SANHUEZA, R. M. 245 $aPodridão de raízes da macieira guia para diagnóstico. 260 $aPelotas: EMBRAPA-CNPFT$c1988 300 $a16 p. 490 $a(EMBRAPA-CNPFT. Documentos, 32). 520 $aSintomas na parte aérea; Podridão por Armillariella; Podridão do colo e raizes, (Phytophthora); Roselliniose; Xilariose; Podridao por Sclerotium; Podridao branca por Corticium; Podridao por Rhizoctonia e Fusarium sp. 650 $achemical control 650 $acultural control 650 $aRosellinia necatrix 650 $aXylaria mali 650 $aControle Cultural 650 $aControle Químico 650 $aDiagnostico 650 $aDoença de Planta 650 $aFruticultura 650 $aFungo 650 $aMaçã 650 $aMalus Domestica 650 $aPhytophthora 650 $aPodridão 650 $aPodridão da Raiz 650 $aRaiz 650 $aSclerotium Rolfsii 650 $aSintoma 653 $aApple tree 653 $aArmillariella mellea 653 $aBrasil 653 $aDiagnostic 653 $aDisease 653 $aMacieira 653 $aPelotas 653 $aPhytophthora cactarum 653 $aPodridãoo 653 $aRaizes 653 $aRio Grande do Sul 653 $aRoot 653 $aSymptoms
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Registro original: |
Embrapa Clima Temperado (CPACT) |
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| Acesso ao texto completo restrito à biblioteca da Embrapa Amazônia Oriental. Para informações adicionais entre em contato com cpatu.biblioteca@embrapa.br. |
Registro Completo
Biblioteca(s): |
Embrapa Amazônia Oriental. |
Data corrente: |
08/07/2005 |
Data da última atualização: |
30/11/2022 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
Internacional - A |
Autoria: |
VIEIRA, I. C. G.; ALMEIDA, A. S. de; DAVIDSON, E. A.; STONE, T. A.; CARVALHO, C. J. R. de; GUERRERO, J. B. |
Afiliação: |
IMA CÉLIA G. VIEIRA, MPEG; ARLETE SILVA DE ALMEIDA, MPEG; ERIC A. DAVIDSON, The Woods Hole Research Center; THOMAS A. STONE, The Woods Hole Research Center; CLAUDIO JOSE REIS DE CARVALHO, CPATU; JOSÉ BENITO GUERRERO, Instituto de Pesquisa Ambiental da Amazônia. |
Título: |
Classifying successional forests using landsat spectral properties and ecological characteristics in eastern Amazônia. |
Ano de publicação: |
2003 |
Fonte/Imprenta: |
Remote Sensing of Environment, v. 87, n. 4, p. 470-481, 2003. |
Descrição Física: |
il. |
DOI: |
http://dx.doi.org/10.1016/j.rse.2002.09.002 |
Idioma: |
Inglês |
Conteúdo: |
Secondary forests may become increasingly important as temporary reservoirs of genetic diversity, stocks of carbon and nutrients, and moderators of hydrologic cycles in the Amazon Basin as agricultural lands are abandoned and often later cleared again for agriculture. We studied a municipality in northeastern Pará, Brazil, that has been settled for over a century and where numerous cycles of slash and burn agriculture have occurred. The forests were grouped into young (3?6 years), intermediate (10?20 years), advanced (40?70 years), and mature successional stages using 1999 Landsat 7 ETM imagery. Supervised classification of the imagery showed that these forest classes occupied 22%, 13%, 9%, and 6% of the area, respectively. Although this area underwent widespread deforestation many decades ago, forest of some type covers about 50% of the area. Row crops, tree crops, and pastures cover 8%, 20%, and 22%, respectively. The best separation among land covers appeared in a plot of NDVI versus band 5 reflectance. The same groupings of successional forests were derived independently from indices of similarity among tree species composition. Measured distributions of tree height and diameter also covaried with these successional classes, with the young forests having nearly uniform distributions, whereas multiple height and diameter classes were present in the advanced successional forests. Biomass accumulated more slowly in this secondary forest chronosequence than has been reported for other areas, which explains why the 70-year-old forests here were still distinguishable from mature forests using spectral properties. Rates of forest regrowth may vary across regions due to differences in edaphic, climatic, and historical land-use factors, thus rendering most relationships among spectral properties and forest age site-specific. Successional status, as characterized by species composition, biomass, and distributions of heights and diameters, may be superior to stand age as a means of stratifying these forests for characterization of spectral properties. MenosSecondary forests may become increasingly important as temporary reservoirs of genetic diversity, stocks of carbon and nutrients, and moderators of hydrologic cycles in the Amazon Basin as agricultural lands are abandoned and often later cleared again for agriculture. We studied a municipality in northeastern Pará, Brazil, that has been settled for over a century and where numerous cycles of slash and burn agriculture have occurred. The forests were grouped into young (3?6 years), intermediate (10?20 years), advanced (40?70 years), and mature successional stages using 1999 Landsat 7 ETM imagery. Supervised classification of the imagery showed that these forest classes occupied 22%, 13%, 9%, and 6% of the area, respectively. Although this area underwent widespread deforestation many decades ago, forest of some type covers about 50% of the area. Row crops, tree crops, and pastures cover 8%, 20%, and 22%, respectively. The best separation among land covers appeared in a plot of NDVI versus band 5 reflectance. The same groupings of successional forests were derived independently from indices of similarity among tree species composition. Measured distributions of tree height and diameter also covaried with these successional classes, with the young forests having nearly uniform distributions, whereas multiple height and diameter classes were present in the advanced successional forests. Biomass accumulated more slowly in this secondary forest chronosequence than has been reported... Mostrar Tudo |
Thesagro: |
Biodiversidade; Biomassa; Desmatamento; Ecologia Florestal; Floresta Secundaria; Sensoriamento Remoto. |
Thesaurus NAL: |
Amazonia. |
Categoria do assunto: |
-- |
Marc: |
LEADER 02979naa a2200289 a 4500 001 1407035 005 2022-11-30 008 2003 bl uuuu u00u1 u #d 024 7 $ahttp://dx.doi.org/10.1016/j.rse.2002.09.002$2DOI 100 1 $aVIEIRA, I. C. G. 245 $aClassifying successional forests using landsat spectral properties and ecological characteristics in eastern Amazônia.$h[electronic resource] 260 $c2003 300 $cil. 520 $aSecondary forests may become increasingly important as temporary reservoirs of genetic diversity, stocks of carbon and nutrients, and moderators of hydrologic cycles in the Amazon Basin as agricultural lands are abandoned and often later cleared again for agriculture. We studied a municipality in northeastern Pará, Brazil, that has been settled for over a century and where numerous cycles of slash and burn agriculture have occurred. The forests were grouped into young (3?6 years), intermediate (10?20 years), advanced (40?70 years), and mature successional stages using 1999 Landsat 7 ETM imagery. Supervised classification of the imagery showed that these forest classes occupied 22%, 13%, 9%, and 6% of the area, respectively. Although this area underwent widespread deforestation many decades ago, forest of some type covers about 50% of the area. Row crops, tree crops, and pastures cover 8%, 20%, and 22%, respectively. The best separation among land covers appeared in a plot of NDVI versus band 5 reflectance. The same groupings of successional forests were derived independently from indices of similarity among tree species composition. Measured distributions of tree height and diameter also covaried with these successional classes, with the young forests having nearly uniform distributions, whereas multiple height and diameter classes were present in the advanced successional forests. Biomass accumulated more slowly in this secondary forest chronosequence than has been reported for other areas, which explains why the 70-year-old forests here were still distinguishable from mature forests using spectral properties. Rates of forest regrowth may vary across regions due to differences in edaphic, climatic, and historical land-use factors, thus rendering most relationships among spectral properties and forest age site-specific. Successional status, as characterized by species composition, biomass, and distributions of heights and diameters, may be superior to stand age as a means of stratifying these forests for characterization of spectral properties. 650 $aAmazonia 650 $aBiodiversidade 650 $aBiomassa 650 $aDesmatamento 650 $aEcologia Florestal 650 $aFloresta Secundaria 650 $aSensoriamento Remoto 700 1 $aALMEIDA, A. S. de 700 1 $aDAVIDSON, E. A. 700 1 $aSTONE, T. A. 700 1 $aCARVALHO, C. J. R. de 700 1 $aGUERRERO, J. B. 773 $tRemote Sensing of Environment$gv. 87, n. 4, p. 470-481, 2003.
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