| |
|
|
| Registros recuperados : 48 | |
| 4. |  | HAREN, J. van; SALESKA, S.; HUETE, A.; KELLER, M.; OLIVEIRA, R. C. Amazon forest tree species composition influences soil fluxes of CO2 and N2O. In: SCIENCE TEAM MEETING, 10., 2006, Brasília, DF. Book of Abstracts... Manaus: LBA-ECO, 2006. p. 19.| Biblioteca(s): Embrapa Amazônia Oriental. |
|    |
| 5. | | 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. |
|  |
| 6. | | VAN HAREN, J.; OLIVEIRA JUNIOR, R. C. de; BELDINI, P. T.; CAMARGO, P. B.; KELLER, M.; SALESKA, S. Tree species effects on soil properties and greenhouse gas fluxes in East-central Amazonia: comparison between Monoculture and Diverse Forest. Biotropica, v. 45, n. 6, p. 709-718, 2013. Artigo publicado por Pesquisador Visitante da Embrapa Monitoramento por Satélite.| Biblioteca(s): Embrapa Amazônia Oriental; Embrapa Territorial. |
| |
| 7. | | GRANT, R. F.; HUTYRA, L. R.; OLIVEIRA, R. C.; MUNGER, J. W.; SALESKA, S. R.; WOFSY, S. C. Modeling the carbon balance of Amazonian rain forests: resolving ecological controls on net ecosystem productivity. Ecological Monographs, v. 79, n. 3, p. 445-463, Aug. 2009.| Biblioteca(s): Embrapa Amazônia Oriental. |
| |
| 9. | | HUNTER, M. O.; KELLE, M.; MORTON, D.; COOK, B.; LEFSKY, M.; DUCEY, M.; SALESKA, S.; OLIVEIRA JUNIOR, R. C. de; SCHIETTI, J. Structural dynamics of tropical moist forest gaps. Plos One, v. 10, n.7, p. 1-19, jul. 2015.| Biblioteca(s): Embrapa Amazônia Oriental; Embrapa Territorial. |
| |
| 10. | | STARK, S. C.; ENQUIST, B. J.; SALESKA, S. R.; LEITOLD, V.; SCHIETTI, J.; LONGO, M.; ALVES, L. F.; CAMARGO, P. B.; OLIVEIRA, R. C. Linking canopy leaf area and light environments with tree size distributions to explain Amazon forest demography. Ecology Letters, v. 18, n. 7, p. 636-645, July 2015.| Biblioteca(s): Embrapa Amazônia Oriental. |
| |
| 11. | | SALESKA, S.; RESTREPO-COUPE, N.; CAMPOS, K. S.; ALVES, L.; IVANOV, V.; LONGO, M.; OLIVEIRA JUNIOR, R. C. de; SILVA, R.; SMITH, M.; TAPAJOS, R.; TAYLOR, T. Do local-scale climate tipping points exist in Amazon forests, and can they warn of impending basin-scale tipping point vulnerability? In: EGU GENERAL ASSEMBLY, 2024, Vienna, Austria. EGU24-14707. Abstract. [S.l.]: EGU, 2024.| Biblioteca(s): Embrapa Amazônia Oriental. |
| |
| 12. | | 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. |
| |
| 13. | | HAREN, J. L. M. van; OLIVEIRA JUNIOR, R. C. de; RESTREPO-COUPE, N.; HUTYRA, L.; CAMARGO, P. B. de; KELLER, M.; SALESKA, S. R. Do plant species influence soil CO2 and N2O fluxes in a diverse tropical forest? Journal of Geophysical Research, v. 115, G03010, 2010.| Biblioteca(s): Embrapa Amazônia Oriental. |
| |
| 14. | | NELSON, B.; TAVARES, J.; WU, J.; VALERIANO, D.; LOPES, A.; MAROSTICA, S.; MARTINS, G.; PROHASKA, N.; ALBERT, L.; ARAUJO, A. de; MANZI, A.; SALESKA, S.; HUETE, A. Seasonality of Central Amazon Forest Leaf Flush Using Tower-Mounted RGB Camera. In: AGU FALL MEETING, 2014, San Francisco. [Proceedings]. [San Francisco]: AGU, 2014.| Biblioteca(s): Embrapa Amazônia Oriental. |
| |
| 15. | | WOFSY, S.; HAYEK, M.; SALESKA, S.; LONGO, M.; MOORCROFT, P.; MUNGER, J.; RESTREPO-COUPE, N.; WIEDEMANN, K.; SILVA, R. da; CAMARGO, P.; COSME, R.; ALVES, L. Response of Amazonian tropical forests to short- and long-term climatic variations. In: AGU FALL MEETING, 2014, San Francisco. [Proceedings]. [San Francisco]: AGU, 2014.| Biblioteca(s): Embrapa Amazônia Oriental. |
| |
| 16. | | IVANOV, V. Y.; HUTYRA, L. R.; WOFSY, S.; MUNGER, J. W.; SALESKA, S. R.; OLIVEIRA JUNIOR, R. C. de; CAMARGO, P. B. de. Root niche separation can explain avoidance of seasonal drought stress and vulnerability of overstory trees to extended drought in a mature Amazonian forest. Water Resources Research, v. 48, n. 12, p. 1-21, Dec. 2012.| Biblioteca(s): Embrapa Amazônia Oriental. |
| |
| 17. | | MALHI, Y.; MELACK, J.; GATTI, L. V.; OMETTO, J.; KESSELMEIER, J.; WOLFF, S.; ARAGÃO, L. E. O.; COSTA, M.; SALESKA, S.; PANGALA, S. R.; BASSO, L. S.; RIZZO, L.; ARAUJO, A. C. de; RESTREPO-COUPE, N. Biogeochemical cycles of the Amazon. In: SCIENCE panel for the Amazon: Amazon assessment report 2021: part I: The Amazon as a regional entity of the Earth system. New York, NY: United Nations Sustainable Development Solutions Network, 2021. Cap. 6, pag. irregular.| Biblioteca(s): Embrapa Amazônia Oriental. |
| |
| 18. | | 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. |
| |
| 19. | | 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. |
| |
| 20. | | RESTREPO-COUPE, N.; CHRISTOFFERSEN, B. O.; LONGO, M.; ALVES, L. F.; CAMPOS, K. S.; ARAUJO, A. C. de; OLIVEIRA JUNIOR, R. C. de; PROHASKA, N.; SILVA, R. da; TAPAJOS, R.; WIEDEMANN, K. T.; WOFSY, S. C.; SALESKA, S. R. Asymmetric response of Amazon forest water and energy fluxes to wet and dry hydrological extremes reveals onset of a local drought-induced tipping point. Global Change Biology, v. 29, n. 21, p. 6077-6092, Nov. 2023.| Biblioteca(s): Embrapa Amazônia Oriental. |
| |
| Registros recuperados : 48 | |
|
|
|
 | 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: |
06/10/2017 |
|
Data da última atualização: |
20/05/2022 |
|
Tipo da produção científica: |
Artigo em Periódico Indexado |
|
Circulação/Nível: |
A - 1 |
|
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. |
|
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. |
|
Título: |
Convergence in relationships between leaf traits, spectra and age across diverse canopy environments and two contrasting tropical forests. |
|
Ano de publicação: |
2017 |
|
Fonte/Imprenta: |
New Phytologist, v. 214, n. 3, p. 1033-1048, May 2017. |
|
DOI: |
10.1111/nph.14051 |
|
Idioma: |
Inglês |
|
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. |
|
Palavras-Chave: |
Espectroscopia; Índices de vegetação; Massa foliar por área; Perfis de copa vertical; Teor de água. |
|
Thesagro: |
Folha. |
|
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.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Amazônia Oriental (CPATU) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
Fechar
|
| Nenhum registro encontrado para a expressão de busca informada. |
|
|
