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| Registros recuperados : 8 | |
| 1. |  | 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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| 2. | | WU, J.; CHAVANA-BRYANT, C.; PROHASKA, N.; SERBIN, S. P.; GUAN, K.; ALBERT, L. P.; YANG, X.; LEEUWEN, W. J. D. van; GARNELLO, A. J.; MARTINS, G.; MALHI, Y.; GERARD, F.; OLIVEIRA JUNIOR, R. C. de; SALESKA, S. R. Convergence in relationships between leaf traits, spectra and age across diverse canopy environments and two contrasting tropical forests. New Phytologist, v. 214, n. 3, p. 1033-1048, May 2017.| Biblioteca(s): Embrapa Amazônia Oriental. |
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| 3. | | SALESKA, S. R.; ALBERT, L. P.; FU, R.; WU, J.; PROHASKA, N.; SMITH, M. N.; IVANOV, V.; CAMARGO, P. B.; OLIVEIRA JUNIOR, R. C. de; RESTREPO-COUPE, N.; WEHR, R.; HUXMAN, T. E. Does Amazon forest leaf phenology mediate transpiration seasonality and hence, ecoclimate teleconnections? In: ESA ANNUAL MEETING, 2017, Portland. [Abstracts]. Washington, DC: Ecological Society of America, 2017. Abstract OOS 11-5.| Biblioteca(s): Embrapa Amazônia Oriental. |
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| 4. | | RESTREPO-COUPE, N.; LEVINE, N. M.; CHRISTOFFERSEN, B. O.; ALBERT, L. P.; WU, J.; COSTA, M. H.; GALBRAITH, D.; IMBUZEIRO, H.; MARTINS, G.; ARAUJO, A. C. da; MALHI, Y. S.; ZENG, X.; MOORCROFT, P.; SALESKA, S. R. Do dynamic global vegetation models capture the seasonality of carbon fluxes in the Amazon basin? A data-model intercomparison. Global Change Biology, v. 23, n. 1, p. 191-208, Jan. 2017.| Biblioteca(s): Embrapa Amazônia Oriental. |
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| 5. | | ALBERT, L. P.; WU, J.; PROHASKA, N.; CAMARGO, P. B.; HUXMAN, T. E.; TRIBUZY, E.; IVANOV, V.; OLIVEIRA, R.; GARCIA, S.; SMITH, M. N.; OLIVEIRA JUNIOR, R. C. de; RESTREPO-COUPE, N.; SILVA, R. da; STARK, S. C.; MARTINS, G.; PENHA, D. V.; SALESKA, S. R. Age-dependent leaf function and consequences for carbon uptake of leaves, branches, and the canopy during the dry season in an Amazon evergreen forest. In: ESA ANNUAL MEETING, 2017, Portland. [Abstracts]. Washington, DC: Ecological Society of America, 2017. Abstract COS 124-3.| Biblioteca(s): Embrapa Amazônia Oriental. |
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| 6. | | ALBERT, L. P.; WU, J.; PROHASKA, N.; CAMARGO, P. B. de; HUXMAN, T. E.; TRIBUZY, E. S.; IVANOV, V. Y.; OLIVEIRA, R. S.; GARCIA, S.; SMITH, M. N.; OLIVEIRA JUNIOR, R. C. de; RESTREPO-COUPE, N.; SILVA, R. da; STARK, S. C.; MARTINS, G. A.; PENHA, D. V.; SALESKA, S. R. Age-dependent leaf physiology and consequences for crown-scale carbon uptake during the dry season in an Amazon evergreen forest. New Phytologist, v. 219, n. 3, p. 870-884, Aug. 2018.| Biblioteca(s): Embrapa Amazônia Oriental. |
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| 7. | | RESTREPO-COUPE, N.; ALBERT, L. P.; LONGO, M.; BAKER, I.; LEVINE, N. M.; MERCADO, L. M.; ARAUJO, A. C. de; CHRISTOFFERSEN, B. O.; COSTA, M. H.; FITZJARRALD, D. R.; GALBRAITH, D.; IMBUZEIRO, H.; MALHI, Y.; RANDOW, C. von; ZENG, X.; MOORCROFT, P.; SALESKA, S. R. Understanding water and energy fluxes in the Amazonia: Lessons from an observation-model intercomparison. Global Change Biology, v. 27, n. 9, p. 1802-1819, 2021.| Biblioteca(s): Embrapa Amazônia Oriental. |
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| 8. | | HILKER, T.; GALVÃO, L. S.; ARAGÃO, L. E. O. C.; MOURA, Y. M. de; AMARAL, C. H. do; LYAPUSTIN, A. I.; WU, J.; ALBERT, L. P.; FERREIRA, M. J.; ANDERSON, L. O.; SANTOS, V. A. H. F. dos; PROHASKA, N.; TRIBUZY, E.; CERON, J. V. B.; SALESKA, S. R.; WANG, Y.; GONÇALVES, J. F. de C.; OLIVEIRA JUNIOR, R. C. de; RODRIGUES, J. V. F. C.; GARCIA, M. N. Vegetation chlorophyll estimates in the Amazon from multi-angle MODIS observations and canopy reflectance model. International Journal of Applied Earth Observation and Geoinformation, v. 58, p. 278-287, June 2017.| Biblioteca(s): Embrapa Amazônia Oriental. |
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| Registros recuperados : 8 | |
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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
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Biblioteca(s): |
Embrapa Amazônia Oriental. |
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Data corrente: |
06/10/2017 |
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Data da última atualização: |
20/05/2022 |
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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: |
WU, J.; CHAVANA-BRYANT, C.; PROHASKA, N.; SERBIN, S. P.; GUAN, K.; ALBERT, L. P.; YANG, X.; LEEUWEN, W. J. D. van; GARNELLO, A. J.; MARTINS, G.; MALHI, Y.; GERARD, F.; OLIVEIRA JUNIOR, R. C. de; SALESKA, S. R. |
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Afiliação: |
Jin Wu, University of Arizona / Brookhaven National Lab; Cecilia Chavana-Bryant, University of Oxford; Neill Prohaska, University of Arizona; Shawn P. Serbin, Brookhaven National Lab; Kaiyu Guan, University of Illinois at Urbana Champaign; Loren P. Albert, University of Arizona; Xi Yang, Brown University; Willem J. D. van Leeuwen, University of Arizona; Anthony John Garnello, University of Arizona; Giordane Martins, INPA; Yadvinder Malhi, University of Oxford; France Gerard, Centre for Ecology and Hydrology (CEH); RAIMUNDO COSME DE OLIVEIRA JUNIOR, CPATU; Scott R. Saleska, University of Arizona. |
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Título: |
Convergence in relationships between leaf traits, spectra and age across diverse canopy environments and two contrasting tropical forests. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
New Phytologist, v. 214, n. 3, p. 1033-1048, May 2017. |
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DOI: |
10.1111/nph.14051 |
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Idioma: |
Inglês |
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Conteúdo: |
Leaf age structures the phenology and development of plants, as well as the evolution of leaf traits over life histories. However, a general method for efficiently estimating leaf age across forests and canopy environments is lacking. Here, we explored the potential for a statistical model, previously developed for Peruvian sunlit leaves, to consistently predict leaf ages from leaf reflectance spectra across two contrasting forests in Peru and Brazil and across diverse canopy environments. The model performed well for independent Brazilian sunlit and shade canopy leaves (R2 = 0.75?0.78), suggesting that canopy leaves (and their associated spectra) follow constrained developmental trajectories even in contrasting forests. The model did not perform as well for mid-canopy and understory leaves (R2 = 0.27?0.29), because leaves in different environments have distinct traits and trait developmental trajectories. When we accounted for distinct environment?trait linkages ? either by explicitly including traits and environments in the model, or, even better, by re-parameterizing the spectra-only model to implicitly capture distinct trait-trajectories in different environments ? we achieved a more general model that well-predicted leaf age across forests and environments (R2 = 0.79). Fundamental rules, linked to leaf environments, constrain the development of leaf traits and allow for general prediction of leaf age from spectra across species, sites and canopy environments. |
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Palavras-Chave: |
Espectroscopia; Índices de vegetação; Massa foliar por área; Perfis de copa vertical; Teor de água. |
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Thesagro: |
Folha. |
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Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
|
Marc: |
LEADER 02559naa a2200361 a 4500
001 2076792
005 2022-05-20
008 2017 bl uuuu u00u1 u #d
024 7 $a10.1111/nph.14051$2DOI
100 1 $aWU, J.
245 $aConvergence in relationships between leaf traits, spectra and age across diverse canopy environments and two contrasting tropical forests.$h[electronic resource]
260 $c2017
520 $aLeaf age structures the phenology and development of plants, as well as the evolution of leaf traits over life histories. However, a general method for efficiently estimating leaf age across forests and canopy environments is lacking. Here, we explored the potential for a statistical model, previously developed for Peruvian sunlit leaves, to consistently predict leaf ages from leaf reflectance spectra across two contrasting forests in Peru and Brazil and across diverse canopy environments. The model performed well for independent Brazilian sunlit and shade canopy leaves (R2 = 0.75?0.78), suggesting that canopy leaves (and their associated spectra) follow constrained developmental trajectories even in contrasting forests. The model did not perform as well for mid-canopy and understory leaves (R2 = 0.27?0.29), because leaves in different environments have distinct traits and trait developmental trajectories. When we accounted for distinct environment?trait linkages ? either by explicitly including traits and environments in the model, or, even better, by re-parameterizing the spectra-only model to implicitly capture distinct trait-trajectories in different environments ? we achieved a more general model that well-predicted leaf age across forests and environments (R2 = 0.79). Fundamental rules, linked to leaf environments, constrain the development of leaf traits and allow for general prediction of leaf age from spectra across species, sites and canopy environments.
650 $aFolha
653 $aEspectroscopia
653 $aÍndices de vegetação
653 $aMassa foliar por área
653 $aPerfis de copa vertical
653 $aTeor de água
700 1 $aCHAVANA-BRYANT, C.
700 1 $aPROHASKA, N.
700 1 $aSERBIN, S. P.
700 1 $aGUAN, K.
700 1 $aALBERT, L. P.
700 1 $aYANG, X.
700 1 $aLEEUWEN, W. J. D. van
700 1 $aGARNELLO, A. J.
700 1 $aMARTINS, G.
700 1 $aMALHI, Y.
700 1 $aGERARD, F.
700 1 $aOLIVEIRA JUNIOR, R. C. de
700 1 $aSALESKA, S. R.
773 $tNew Phytologist$gv. 214, n. 3, p. 1033-1048, May 2017.
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