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17. | | SALESKA, S. R.; WU, J.; GUAN, K.; ARAUJO, A. C.; HUETE, A.; NOBRE, A. D.; RESTREPO-COUPE, N. Dry-season greening of Amazon forests. Nature, v. 531, n. 7594, p. E4-E5, Mar. 2016. Biblioteca(s): Embrapa Amazônia Oriental. |
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18. | | WU, J.; ALBERT, L. P.; PROHASKA, N.; ELY, K.; WOLFE, B. T.; OLIVEIRA JUNIOR, R. C. de; SALESKA, S. R.; ROGERS, A.; SERBIN, S. P. A convergent spectroscopy-based approach for Vcmax across leaf age and growth environments. In: ESA ANNUAL MEETING, 2017, Portland. [Abstracts]. Washington, DC: Ecological Society of America, 2017. Abstract OOS 2-2. Biblioteca(s): Embrapa Amazônia Oriental. |
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19. | | 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. Amazon forest carbon dynamics predicted by profiles of canopy leaf area and light environment. Ecology Letters, v.15, p.1406-1414, 2012. Biblioteca(s): Embrapa Roraima. |
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20. | | WOYANN, L. G.; ZDZIARSKI, A. D.; ZANELLA, R.; ROSA, A. C.; CASTRO, R. L. de; CAIERÃO, E.; TOIGO, M. D.; STORCK, L.; WU, J.; BENIN, G. Genetic gain over 30 years of spring wheat breeding in Brazil. Crop Science, v. 59, Sep./Oct. 2019. Biblioteca(s): Embrapa Trigo. |
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Registros recuperados : 35 | |
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Registro Completo
Biblioteca(s): |
Embrapa Amazônia Oriental. |
Data corrente: |
25/02/2013 |
Data da última atualização: |
10/11/2022 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
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. |
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. |
Título: |
Amazon forest carbon dynamics predicted by profiles of canopy leaf area and light environment. |
Ano de publicação: |
2012 |
Fonte/Imprenta: |
Ecology Letters, v. 15, n. 12, p. 1406-1414, dez. 2012. |
DOI: |
10.1111/j.1461-0248.2012.01864.x |
Idioma: |
Inglês |
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. |
Palavras-Chave: |
Biomass growth; Carbon balance; Gap fraction; Leaf area profiles; Remote sensing of canopy structure. |
Thesaurus NAL: |
lidar. |
Categoria do assunto: |
K Ciência Florestal e Produtos de Origem Vegetal |
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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