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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. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Amazônia Oriental. |
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Data corrente: |
25/02/2013 |
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Data da última atualização: |
10/11/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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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, R. C. de; SALESKA, S. R. |
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Afiliação: |
Scott C. Stark; Veronika Leitold; Jin L. Wu; Maria O. Hunter; Carolina V. de Castilho; Flávia R. C. Costa; Sean M. McMahon; Geoffrey G. Parker; Mônica Takako Shimabukuro; Michael A. Lefsky; Michael Keller; Luciana F. Alves; Juliana Schietti; Yosio Edemir Shimabukuro; Diego O. Brandão; Tara K. Woodcock; Niro Higuchi; Plinio B. de Camargo; RAIMUNDO COSME DE OLIVEIRA JUNIOR, CPATU; Scott R. Saleska. |
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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, p. 1406-1414, dez. 2012. |
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DOI: |
10.1111/j.1461-0248.2012.01864.x |
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Idioma: |
Inglês |
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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: |
K Ciência Florestal e Produtos de Origem Vegetal |
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Marc: |
LEADER 02301naa a2200433 a 4500
001 1950777
005 2022-11-10
008 2012 bl uuuu u00u1 u #d
024 7 $a10.1111/j.1461-0248.2012.01864.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
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, R. C. de
700 1 $aSALESKA, S. R.
773 $tEcology Letters$gv. 15, n. 12, p. 1406-1414, dez. 2012.
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