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Registro Completo |
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Biblioteca(s): |
Embrapa Mandioca e Fruticultura; Embrapa Trigo. |
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Data corrente: |
16/03/1992 |
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Data da última atualização: |
11/08/2017 |
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Autoria: |
TERRELL, E. E.; HILL, S. R.; WIERSEMA, J. H.; RICE, W. E. |
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Título: |
A checklist of names for 3,000 vascular plants of economic importance |
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Ano de publicação: |
1986 |
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Fonte/Imprenta: |
Washington, DC: United States Department of Agriculture, 1986 |
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Páginas: |
241 p. |
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Série: |
Agriculture Handbook, 505 |
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Idioma: |
Inglês |
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Conteúdo: |
Symbols; Abbreviations; Definitions; Part. I. Scientific and common names; Part. II Common and scientific names; Taxonomic and nomenclatural notes. |
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Palavras-Chave: |
Aspecto economico. |
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Thesagro: |
Alimento; Colheita; Erva Daninha; Nomenclatura; Planta; Taxonomia. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 00825nam a2200253 a 4500
001 1641245
005 2017-08-11
008 1986 bl uuuu 00u1 u #d
100 1 $aTERRELL, E. E.
245 $aA checklist of names for 3,000 vascular plants of economic importance
260 $aWashington, DC: United States Department of Agriculture$c1986
300 $a241 p.
490 $aAgriculture Handbook, 505
520 $aSymbols; Abbreviations; Definitions; Part. I. Scientific and common names; Part. II Common and scientific names; Taxonomic and nomenclatural notes.
650 $aAlimento
650 $aColheita
650 $aErva Daninha
650 $aNomenclatura
650 $aPlanta
650 $aTaxonomia
653 $aAspecto economico
700 1 $aHILL, S. R.
700 1 $aWIERSEMA, J. H.
700 1 $aRICE, W. E.
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Registro original: |
Embrapa Mandioca e Fruticultura (CNPMF) |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Territorial. Para informações adicionais entre em contato com cnpm.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Territorial. |
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Data corrente: |
19/02/2013 |
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Data da última atualização: |
10/06/2014 |
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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: |
STARK, S. C.; LEITOLD, V.; WU, J. L.; HUNTER, M. O.; CASTILHO, C. V. de; COSTA, F. R. C.; MCMAHON, S. M.; PARKER, G. G.; SHIMABUKURO, M. T.; LEFSKY, M. A.; KELLER, M.; ALVES, L. F.; SCHIETTI, J.; SHIMABUKURO, Y. E.; BRANDÃO, D. O.; WOODCOCK, T. K.; HIGUCHI, N.; CAMARGO, P. B. DE; OLIVEIRA JUNIOR, R. C. de; SALESKA, S. R. |
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Afiliação: |
SCOTT C. STARK, UNIVERSITY OF ARIZONA; VERONIKA LEITOLD, UNIVERSITY OF ARIZONA; JIN L. WU, UNIVERSITY OF ARIZONA; MARIA O. HUNTER, UNIVERSITY OF NEW HAMPSHIRE; CAROLINA VOLKMER DE CASTILHO, CPAF-RR; FLÁVIA R. C. COSTA, INPA; SEAN M. MCMAHON, SMITHSONIAN TROPICAL RESEARCH INSTITUTE; GEOFFREY G. PARKER, SMITHSONIAN ENVIRONMENTAL RESEARCH CENTER; MÔNICA TAKAKO SIMABUKURO, INPE; MICHAEL A. LEFSKY, COLORADO STATE UNIVERSITY; MICHAEL KELLER, USDA FOREST SERVICE/EMBRAPA MONITORAMENTO POR SATÉLITE; LUCIANA F. ALVES, INSTITUTO DE BOTÂNICA; JULIANA SCHIETTI, INPA; YOSIO EDEMIR SHIMABUKURO, INPE; DIEGO O. BRANDÃO, INPA; TARA K. WOODCOCK, UNIVERSITY OF ARIZONA; NIRO HIGUCHI, INPA; PLÍNIO B. DE CAMARGO, CENA/USP; RAIMUNDO COSME DE OLIVEIRA JUNIOR, CPATU; SCOTT R. SALESKA, UNIVERSITY OF ARIZONA. |
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Título: |
Amazon forest carbon dynamics predicted by profiles of canopy leaf area and light environment. |
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Ano de publicação: |
2012 |
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Fonte/Imprenta: |
Ecology Letters, v. 15, n. 12, dez. 2012. |
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Páginas: |
p. 1406-1414. |
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DOI: |
10.1111/j.1461-0248.2012.0186.x |
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Idioma: |
Inglês |
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Notas: |
Artigo publicado por Pesquisador Visitante da Embrapa Monitoramento por Satélite. |
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Conteúdo: |
Tropical forest structural variation across heterogeneous landscapes may control above-ground carbon dynamics. We tested the hypothesis that canopy structure (leaf area and light availability) ? remotely estimated from LiDAR ? control variation in above-ground coarse wood production (biomass growth). Using a statistical model, these factors predicted biomass growth across tree size classes in forest near Manaus, Brazil. The same statistical model, with no parameterisation change but driven by different observed canopy structure, predicted the higher productivity of a site 500 km east. Gap fraction and a metric of vegetation vertical extent and evenness also predicted biomass gains and losses for one-hectare plots. Despite significant site differences in canopy structure and carbon dynamics, the relation between biomass growth and light fell on a unifying curve. This supported our hypothesis, suggesting that knowledge of canopy structure can explain variation in biomass growth over tropical landscapes and improve understanding of ecosystem function. |
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Palavras-Chave: |
Biomass growth; Carbon balance; Gap fraction; Leaf area profiles; Remote sensing of canopy structure. |
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Thesaurus NAL: |
LiDAR. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02422naa a2200457 a 4500
001 1949933
005 2014-06-10
008 2012 bl uuuu u00u1 u #d
024 7 $a10.1111/j.1461-0248.2012.0186.x$2DOI
100 1 $aSTARK, S. C.
245 $aAmazon forest carbon dynamics predicted by profiles of canopy leaf area and light environment.$h[electronic resource]
260 $c2012
300 $ap. 1406-1414.
500 $aArtigo publicado por Pesquisador Visitante da Embrapa Monitoramento por Satélite.
520 $aTropical forest structural variation across heterogeneous landscapes may control above-ground carbon dynamics. We tested the hypothesis that canopy structure (leaf area and light availability) ? remotely estimated from LiDAR ? control variation in above-ground coarse wood production (biomass growth). Using a statistical model, these factors predicted biomass growth across tree size classes in forest near Manaus, Brazil. The same statistical model, with no parameterisation change but driven by different observed canopy structure, predicted the higher productivity of a site 500 km east. Gap fraction and a metric of vegetation vertical extent and evenness also predicted biomass gains and losses for one-hectare plots. Despite significant site differences in canopy structure and carbon dynamics, the relation between biomass growth and light fell on a unifying curve. This supported our hypothesis, suggesting that knowledge of canopy structure can explain variation in biomass growth over tropical landscapes and improve understanding of ecosystem function.
650 $aLiDAR
653 $aBiomass growth
653 $aCarbon balance
653 $aGap fraction
653 $aLeaf area profiles
653 $aRemote sensing of canopy structure
700 1 $aLEITOLD, V.
700 1 $aWU, J. L.
700 1 $aHUNTER, M. O.
700 1 $aCASTILHO, C. V. de
700 1 $aCOSTA, F. R. C.
700 1 $aMCMAHON, S. M.
700 1 $aPARKER, G. G.
700 1 $aSHIMABUKURO, M. T.
700 1 $aLEFSKY, M. A.
700 1 $aKELLER, M.
700 1 $aALVES, L. F.
700 1 $aSCHIETTI, J.
700 1 $aSHIMABUKURO, Y. E.
700 1 $aBRANDÃO, D. O.
700 1 $aWOODCOCK, T. K.
700 1 $aHIGUCHI, N.
700 1 $aCAMARGO, P. B. DE
700 1 $aOLIVEIRA JUNIOR, R. C. de
700 1 $aSALESKA, S. R.
773 $tEcology Letters$gv. 15, n. 12, dez. 2012.
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Embrapa Territorial (CNPM) |
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