| |
|
|
| Registros recuperados : 34 | |
| 1. |  | 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. |
|    |
| 3. | | 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. |
| |
| 4. | | 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. |
| |
| 5. | | 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. |
| |
| 6. | | 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. |
| |
| 7. | | 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. |
|  |
| 8. | | SMITH, M. N.; TAYLOR, T. C.; HAREN, J. van; ROSOLEM, R.; RESTREPO-COUPE, N.; ADAMS, J.; WU, J.; OLIVEIRA JUNIOR, R. C. de; SILVA, R. da; ARAUJO, A. C. de; CAMARGO, P. B. de; HUXMAN, T. E.; SALESKA, S. R. Empirical evidence for resilience of tropical forest photosynthesis in a warmer world. Nature Plants, v. 6, p. 1225-1230, 2020.| Biblioteca(s): Embrapa Amazônia Oriental. |
| |
| 9. | | 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. |
| |
| 10. | | 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. |
| |
| 11. | | 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. |
| |
| 12. | | 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. |
| |
| 13. | | 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. |
| |
| 14. | | 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. |
| |
| 15. | | POWELL, T. I.; GALBRAITH, D. R.; CHRISTOFFERSEN, B. O.; HARPER, A.; IMBUZEIRO, H. M. A.; ROWLAND, L.; ALMEIDA, S.; BRANDO, P. M.; COSTA, A. C. L. da; COSTA, M. H.; LEVINE, N. M.; MALHI, Y.; SALESKA, S. R.; SOTTA, E.; WILLIAMS, M.; MEIR, P.; MOORCROFT, P. R. Confronting model predictions of carbon fluxes with measurements of Amazon forests subjected to experimental drought. New Phytologist, Cambridge, Jul. 2013.| Biblioteca(s): Embrapa Amapá. |
| |
| 16. | | STARK, S. C.; ENQUIST, B. J.; SALESKA, S. R.; LEITOLD, V.; SCHIETTI, J.; CASTILHO, C. V. de; COSTA, F. R. C.; ALVES, L. F.; LONGO, M.; KELLER, M.; LEFSKY, M. A.; SHIMABUKURO, Y. E.; OLIVEIRA JUNIOR, R. C. de; CAMARGO, P. B. Connecting forest canopy structure with size distributions and tree demography in the Amazon. In: ANNUAL MEETING OF THE ASSOCIATION FOR TROPICAL BIOLOGY AND CONSERVATION, 50., 2013, Costa Rica. ATBC Online Web Program: abstracts. [S.l.]: ATBC, 2013.| Biblioteca(s): Embrapa Amazônia Oriental. |
| |
| 17. | | STARK, S. C.; ENQUIST, B. J.; SALESKA, S. R.; LEITOLD, V.; SCHIETTI, J.; CASTILHO, C. V. de; COSTA, F. R. C.; ALVES, L. F.; LONGO, M.; KELLER, M.; LEFSKY, M. A.; SHIMABUKURO, Y. E.; OLIVEIRA JUNIOR, R. C. de; CAMARGO, P. B. Connecting forest canopy structure with size distributions and tree demography in the Amazon. ANNUAL MEETING OF THE ASSOCIATION FOR TROPICAL BIOLOGY AND CONSERVATION, 50., 2013, Costa Rica. ATBC, 2013.| Biblioteca(s): Embrapa Roraima. |
| |
| 18. | | 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. Amazon forest carbon dynamics predicted by profiles of canopy leaf area and light environment. Ecology Letters, v. 15, n. 12, dez. 2012. p. 1406-1414. Artigo publicado por Pesquisador Visitante da Embrapa Monitoramento por Satélite.| Biblioteca(s): Embrapa Territorial. |
| |
| 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.; 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. Amazon forest carbon dynamics predicted by profiles of canopy leaf area and light environment. Ecology Letters, v. 15, n. 12, p. 1406-1414, dez. 2012.| Biblioteca(s): Embrapa Amazônia Oriental. |
| |
| 20. | | STARK, S. C.; BRESHEARS, D. D.; ARAGÓN, S.; VILLEGAS, J. C.; LAW, D. J.; SMITH, M. N.; MINOR, D. M.; ASSIS, R. L. de; ALMEIDA, D. R. A. de; OLIVEIRA, G. de; SALESKA, S. R.; SWANN, A. S.; MOURA, J. M. S.; CAMARGO, J. L.; SILVA, R. da; ARAGÃO, L. E. O. C.; OLIVEIRA JUNIOR, R. C. de. Reframing tropical savannization: linking changes in canopy structure to energy balance alterations that impact climate. Ecosphere, v. 11, n. 9, e03231, 2020.| Biblioteca(s): Embrapa Amazônia Oriental. |
| |
| Registros recuperados : 34 | |
|
|
|
 | 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: |
06/02/2018 |
|
Data da última atualização: |
02/05/2018 |
|
Tipo da produção científica: |
Artigo em Periódico Indexado |
|
Circulação/Nível: |
A - 1 |
|
Autoria: |
WU, J.; KOBAYASHI, H.; STARK, S. C.; MENG, R.; GUAN, K.; TRAN, N. N.; GAO, S.; YANG, W.; RESTREPO-COUPE, N.; MIURA, T.; OLIVEIRA JUNIOR, R. C. de; ROGERS, A.; DYE, D. G.; NELSON, B. W.; SERBIN, S. P.; HUETE, A. R.; SALESKA, S. R. |
|
Afiliação: |
Jin Wu, University of Arizona / Brookhaven National Laboratory; Hideki Kobayashi, Japan Agency for Marine-Earth Science and Technology; Scott C. Stark, Michigan State University; Ran Meng, Brookhaven National Laboratory; Kaiyu Guan, University of Illinois at Urbana Champaign; Ngoc Nguyen Tran, University of Technology Sydney; Sicong Gao, University of Technology Sydney; Wei Yang, Chiba University; Natalia Restrepo-Coupe, University of Arizona; Tomoaki Miura, University of Havaii; RAIMUNDO COSME DE OLIVEIRA JUNIOR, CPATU; Alistair Rogers, Brookhaven National Laboratory; Dennis G. Dye, Northern Arizona University; Bruce W. Nelson, INPA; Shawn P. Serbin, Brookhaven National Laboratory; Alfredo R. Huete, University of Technology Sydney; Scott R. Saleska, University of Arizona. |
|
Título: |
Biological processes dominate seasonality of remotely sensed canopy greenness in an Amazon evergreen forest. |
|
Ano de publicação: |
2018 |
|
Fonte/Imprenta: |
New Phytologist, v. 217, n. 4, p. 1507-1520, Mar. 2018. |
|
DOI: |
10.1111/nph.14939 |
|
Idioma: |
Inglês |
|
Conteúdo: |
Satellite observations of Amazon forests show seasonal and interannual variations, but the underlying biological processes remain debated. Here we combined radiative transfer models (RTMs) with field observations of Amazon forest leaf and canopy characteristics to test three hypotheses for satellite-observed canopy reflectance seasonality: seasonal changes in leaf area index, in canopy-surface leafless crown fraction and/or in leaf demography. Canopy RTMs (PROSAIL and FLiES), driven by these three factors combined, simulated satellite-observed seasonal patterns well, explaining c. 70% of the variability in a key reflectance-based vegetation index (MAIAC EVI, which removes artifacts that would otherwise arise from clouds/aerosols and sun?sensor geometry). Leaf area index, leafless crown fraction and leaf demography independently accounted for 1, 33 and 66% of FLiES-simulated EVI seasonality, respectively. These factors also strongly influenced modeled near-infrared (NIR) reflectance, explaining why both modeled and observed EVI, which is especially sensitive to NIR, captures canopy seasonal dynamics well. Our improved analysis of canopy-scale biophysics rules out satellite artifacts as significant causes of satellite-observed seasonal patterns at this site, implying that aggregated phenology explains the larger scale remotely observed patterns. This work significantly reconciles current controversies about satellite-detected Amazon phenology, and improves our use of satellite observations to study climate?phenology relationships in the tropics. MenosSatellite observations of Amazon forests show seasonal and interannual variations, but the underlying biological processes remain debated. Here we combined radiative transfer models (RTMs) with field observations of Amazon forest leaf and canopy characteristics to test three hypotheses for satellite-observed canopy reflectance seasonality: seasonal changes in leaf area index, in canopy-surface leafless crown fraction and/or in leaf demography. Canopy RTMs (PROSAIL and FLiES), driven by these three factors combined, simulated satellite-observed seasonal patterns well, explaining c. 70% of the variability in a key reflectance-based vegetation index (MAIAC EVI, which removes artifacts that would otherwise arise from clouds/aerosols and sun?sensor geometry). Leaf area index, leafless crown fraction and leaf demography independently accounted for 1, 33 and 66% of FLiES-simulated EVI seasonality, respectively. These factors also strongly influenced modeled near-infrared (NIR) reflectance, explaining why both modeled and observed EVI, which is especially sensitive to NIR, captures canopy seasonal dynamics well. Our improved analysis of canopy-scale biophysics rules out satellite artifacts as significant causes of satellite-observed seasonal patterns at this site, implying that aggregated phenology explains the larger scale remotely observed patterns. This work significantly reconciles current controversies about satellite-detected Amazon phenology, and improves our use of satellite... Mostrar Tudo |
|
Palavras-Chave: |
Sazonalidade. |
|
Thesagro: |
Fenologia; Floresta tropical. |
|
Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
|
Marc: |
LEADER 02563naa a2200361 a 4500
001 2087194
005 2018-05-02
008 2018 bl uuuu u00u1 u #d
024 7 $a10.1111/nph.14939$2DOI
100 1 $aWU, J.
245 $aBiological processes dominate seasonality of remotely sensed canopy greenness in an Amazon evergreen forest.$h[electronic resource]
260 $c2018
520 $aSatellite observations of Amazon forests show seasonal and interannual variations, but the underlying biological processes remain debated. Here we combined radiative transfer models (RTMs) with field observations of Amazon forest leaf and canopy characteristics to test three hypotheses for satellite-observed canopy reflectance seasonality: seasonal changes in leaf area index, in canopy-surface leafless crown fraction and/or in leaf demography. Canopy RTMs (PROSAIL and FLiES), driven by these three factors combined, simulated satellite-observed seasonal patterns well, explaining c. 70% of the variability in a key reflectance-based vegetation index (MAIAC EVI, which removes artifacts that would otherwise arise from clouds/aerosols and sun?sensor geometry). Leaf area index, leafless crown fraction and leaf demography independently accounted for 1, 33 and 66% of FLiES-simulated EVI seasonality, respectively. These factors also strongly influenced modeled near-infrared (NIR) reflectance, explaining why both modeled and observed EVI, which is especially sensitive to NIR, captures canopy seasonal dynamics well. Our improved analysis of canopy-scale biophysics rules out satellite artifacts as significant causes of satellite-observed seasonal patterns at this site, implying that aggregated phenology explains the larger scale remotely observed patterns. This work significantly reconciles current controversies about satellite-detected Amazon phenology, and improves our use of satellite observations to study climate?phenology relationships in the tropics.
650 $aFenologia
650 $aFloresta tropical
653 $aSazonalidade
700 1 $aKOBAYASHI, H.
700 1 $aSTARK, S. C.
700 1 $aMENG, R.
700 1 $aGUAN, K.
700 1 $aTRAN, N. N.
700 1 $aGAO, S.
700 1 $aYANG, W.
700 1 $aRESTREPO-COUPE, N.
700 1 $aMIURA, T.
700 1 $aOLIVEIRA JUNIOR, R. C. de
700 1 $aROGERS, A.
700 1 $aDYE, D. G.
700 1 $aNELSON, B. W.
700 1 $aSERBIN, S. P.
700 1 $aHUETE, A. R.
700 1 $aSALESKA, S. R.
773 $tNew Phytologist$gv. 217, n. 4, p. 1507-1520, Mar. 2018.
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. |
|
|
