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Registros recuperados : 16 | |
2. | | MENDES, N. B.; NELSON, B. W.; MILLER, R. P. Levantamento das espécies arbóreas da região de Manaus - Amazonas. Revista do Instituto Florestal, São Paulo, v. 4, pt. 1, p. 332-338, mar. 1992. Edição dos Anais do Congresso Florestal de Essências Nativas, 2., 1992, São Paulo. Edição especial. Biblioteca(s): Embrapa Florestas. |
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3. | | SALATI, E.; RIBEIRO, M. de N. G.; ABSY, M. L.; NELSON, B. W. Clima da Amazonia: presente, passado e futuro. In: VAL, A.L.; FIGLIUOLO, R.; FELDBERG, E., ed. Bases cientificas para estrategias de preservacao e desenvolvimento da Amazonia: fatos e perspectivas. Manaus: INPA, 1991. v.1, p.21-34. Biblioteca(s): Embrapa Rondônia. |
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5. | | OLIVEIRA, A. A. de; FERREIRA, L. V.; LLERAS PEREZ, E.; NELSON, B. W.; ALMEIDA, S. S. A flora fanerogâmica amazônica: composição, diversidade, endemismo e conservação. In: ARAÚJO, E. de L.; MOURA, A. do N.; SAMPAIO, E. V. de S. B.; GESTINARI, L. M. de S.; CARNEIRO, J. de M. T. (Ed.). Biodiversidade, conservação e uso sustentável da flora do Brasil. Recife: Sociedade Botânica do Brasil: Universidade Federal Rural de Pernambuco, 2002. p. 15-18. Biblioteca(s): Embrapa Amazônia Ocidental. |
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6. | | NELSON, B. W.; MESQUITA, R.; PEREIRA, J. L. G.; SOUZA, S. G. A. de; BATISTA, G. T.; COUTO, L. B. Allometric regressions for improved estimate of secondary forest biomass in the central Amazon. Forest Ecology and Management, v. 117, n. 1, p. 149-167, 1999. Biblioteca(s): Embrapa Amazônia Ocidental. |
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8. | | OLIVEIRA, M. V. N. d'; FIGUEIREDO, E. O.; ALMEIDA, D. R. A. de; OLIVEIRA, L. C. de; SILVA, C. A.; NELSON, B. W.; CUNHA, R. M. da; PAPA, D. de A.; STARK, S. C.; VALBUENA, R. Impacts of selective logging on Amazon forest canopy structure and biomass with a LiDAR and photogrammetric survey sequence. Forest Ecology and Management, v. 500, 119648, Nov. 2021. Biblioteca(s): Embrapa Acre. |
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9. | | 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. Biological processes dominate seasonality of remotely sensed canopy greenness in an Amazon evergreen forest. New Phytologist, v. 217, n. 4, p. 1507-1520, Mar. 2018. Biblioteca(s): Embrapa Amazônia Oriental. |
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10. | | MOURA, Y. M. de; GALVÃO, L. S.; HILKER, T.; WU, J.; SALESKA, S.; AMARAL, C. H. do; NELSON, B. W.; LOPES, A. P.; WIEDEMAN, K. K.; PROHASKA, N.; OLIVEIRA JUNIOR, R. C. de; MACHADO, C. B.; ARAGÃO, L. E. O. C. Spectral analysis of amazon canopy phenology during the dry season using a tower hyperspectral camera and modis observations. ISPRS Journal of Photogrammetry and Remote Sensing, v. 131, p. 52-64, Sept. 2017. Biblioteca(s): Embrapa Amazônia Oriental. |
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11. | | ALMEIDA, D. R. A. de; BROADBENT, E. N.; FERREIRA, M. P.; MELI, P.; ZAMBRANO, A. M. A.; GORGENS, E. B.; RESENDE, A. F.; ALMEIDA, C. T. de; AMARAL, C. R. do; CORTE, A. P. D.; SILVA, C. A.; ROMANELLI, J. P.; PRATA, G. A.; PAPA, D. de A.; STARK, S. C.; VALBUENA, R.; NELSON, B. W.; GUILLEMOT, J.; FÉRET, J. B.; CHAZDON, R.; BRANCALION, P. H. S. Monitoring restored tropical forest diversity and structure through UAV-borne hyperspectral and lidar fusion. Remote Sensing of Environment, v. 264, 112582, Oct. 2021. Biblioteca(s): Embrapa Acre. |
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12. | | SMITH, M. N.; SCHITTI, J.; GONÇALVES, N.; MINOR, D.; ALMEIDA, D. R. A. de; ROCHA, D. G.; ARAGÓN, S.; MENIN, M.; GUEDES, M. C.; TONINI, H.; SILVA, K. E. da; ROSA, D. M.; NELSON, B. W.; CORDEIRO, C. L. O.; OLIVEIRA JUNIOR, R. C. de; SHAO, G.; SOUZA, M. S.; MCMAHON, S.; ALMEIDA, D.; ARAGÃO, L. E. O. C.; LIMA, N. Z. de; OLIVEIRA, G. de; ASSIS, R. L. de; CAMARGO, J. L.; MESQUITA, R. G.; SALESKA, S. R.; BRESHEARS, D. D.; COSTA, F. R. C.; STARK, S. C. Variations in Amazonian forest canopy structure and light environments across environmental and disturbance gradients. In: AGU FALL MEETING, 2019, San Francisco. Anais... San Francisco: AGU, 2019. Paper 499657. Biblioteca(s): Embrapa Amazônia Ocidental; Embrapa Amazônia Oriental; Embrapa Pecuária Sul. |
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13. | | SMITH, M. N.; SCHITTI, J.; GONÇALVES, N.; MINOR, D.; ALMEIDA, D. R. A. de; ROCHA, D. G.; ARAGÓN, S.; MENIN, M.; GUEDES, M. C.; TONINI, H.; SILVA, K. E. da; ROSA, D. M.; NELSON, B. W.; CORDEIRO, C. L. O.; OLIVEIRA JUNIOR, R. C. de; SHAO, G.; SOUZA, M. S.; MCMAHON, S.; ALMEIDA, D.; ARAGÃO, L. E. O. C.; LIMA, N. Z. de; OLIVEIRA, G. de; ASSIS, R. L. de; CAMARGO, J. L.; MESQUITA, R. G.; SALESKA, S. R.; BRESHEARS, D. D.; COSTA, F. R. C.; STARK, S. C. Variations in Amazonian forest canopy structure and light environments across environmental and disturbance gradients. In: AGU FALL MEETING, 2019, San Francisco. Anais... San Francisco: AGU, 2019. Paper 499657. Biblioteca(s): Embrapa Amapá. |
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14. | | SMITH, M. N.; STARK, S. C.; TAYLOR, T. C.; SCHIETTI, J.; ALMEIDA, D. R. A. de; ARAGÓN, S.; TORRALVO, K.; LIMA, A. P.; OLIVEIRA, G. de; ASSIS, R. L. de; LEITOLD, V.; PONTES-LOPES, A.; SCOLES, R.; VIEIRA, L. C. de S.; RESENDE, A. F.; COPPOLA, A. I.; BRANDÃO, D. O.; SILVA JUNIOR, J. de A.; LOBATO, L. F.; FREITAS, W.; ALMEIDA, D.; SOUZA, M. S.; MINOR, D. M.; VILLEGAS, J. C.; LAW, D. J.; GONÇALVES, N.; ROCHA, D. G. da; GUEDES, M. C.; TONINI, H.; SILVA, K. E. da; HAREN, J. van; ROSA, D. M.; VALLE, D. F. do; CORDEIRO, C. L.; LIMA, N. Z. de; SHAO, G.; MENOR, I. O.; CONTI, G.; FLORENTINO, A. P.; MONTTI, L.; ARAGÃO, L. E. O. C.; McMAHON, S. M.; PARKER, G. G.; BRESHEARS, D. D.; COSTA, A. C. L. da; MAGNUSSON, W. E.; MESQUITA, R.; CAMARGO, J. L. C.; OLIVEIRA JUNIOR, R. C. de; CAMARGO, P. B. de; SALESKA, S. R.; NELSON, B. W. Diverse anthropogenic disturbances shift Amazon forests along a structural spectrum. Frontiers in Ecology an the Environment, v. 21, n. 1, p. 24-32, 2023. Biblioteca(s): Embrapa Amapá; Embrapa Amazônia Ocidental; Embrapa Amazônia Oriental; Embrapa Pecuária Sul. |
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15. | | ANDREAE, M. O.; ACEVEDO, O. C.; ARAUJO, A.; ARTAXO, P.; BARBOSA, C. G. G.; BARBOSA, H. M. J.; BRITO, J.; CARBONE, S.; CHI, X.; CINTRA, B. B. L.; SILVA, N. F. da; DIAS, N. L.; DIAS-JÚNIOR, C. Q.; DITAS, F.; DITZ, R.; GODOI, A. F. L.; GODOI, R. H. M.; HEIMANN, M.; HOFFMANN, T.; KESSELMEIER, J.; KÖNEMANN, T.; KRÜGER, M. L.; LAVRIC, J. V.; MANZI, A. O.; LOPES, A. P.; MARTINS, D. L.; MIKHAILOV, E. F.; MORAN-ZULOAGA, D.; NELSON, B. W.; NÖLSCHER, A. C.; NOGUEIRA, D. S.; PIEDADE, M. T. F.; PÖHLKER, C.; PÖSCHL, U.; QUESADA, C. A.; RIZZO, L. V.; RO, C.-U.; RUCKTESCHLER, N.; SÁ, L. D. A.; SÁ, M. de O.; SALES, C. B.; SANTOS, R. M. N. dos; SATURNO, J.; SCHÖNGART, J.; SÖRGEL, M.; SOUZA, C. M. de; SOUZA, R. A. F. de; SU, H.; TARGHETTA, N.; TÓTA, J.; TREBS, I.; TRUMBORE, S.; EIJCK, A. van; WALTER, D.; WANG, Z.; WEBER, B.; WILLIAMS, J.; WINDERLICH, J.; WITTMANN, F.; WOLFF, S.; YÁÑEZ-SERRANO, A. M. The Amazon Tall Tower Observatory (ATTO): overview of pilot measurements on ecosystem ecology, meteorology, trace gases, and aerosols. Atmospheric Chemistry and Physics, v. 15, n. 18, p. 10723-10776, 2015. Biblioteca(s): Embrapa Amazônia Oriental. |
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16. | | LIMA, R. B. de; GÖRGENS, E. B.; SILVA, D. A. S. da; OLIVEIRA, C. P. de; BATISTA, A. P. B.; FERREIRA, R. L. C.; COSTA, F. R. C.; LIMA, R. A. F. de; APARÍCIO, P. da S.; ABREU, J. C. de; SILVA, J. A. A. da; GUIMARAES, A. F.; FEARNSIDE, P. M.; SOUSA, T. R.; PERDIZ, R.; HIGUCHI, N.; BERENGUER, E.; RESENDE, A. F.; ELIAS, F.; CASTILHO, C. V. de; MEDEIROS, M. B. de; MATOS FILHO, J. R. de; SARDINHA, M. A.; FREITAS, M. A. F.; SILVA, J. J. da; CUNHA, A. P. da; SANTOS, R. M.; MUELBERT, A. E.; GUEDES, M. C.; IMBRÓZIO, R.; SOUSA, C. S. C. de; APARÍCIO, W. C. da S.; SILVA, B. M. da S. e; SILVA, C. A.; MARIMON, B. S.; MARIMON JUNIOR, B. H.; MORANDI, P. S.; STORCK-TONON, D.; VIEIRA, I. C. G.; SCHIETTI, J.; COELHO, F.; ALMEIDA, D. R. A. de; CASTRO, W.; CARVALHO, S. P. C.; SILVA, R. dos S. A. da; SILVEIRA, J.; CAMARGO, J. L.; MELGAÇO, K.; FREITAS, L. J. M. de; VEDOVATO, L.; BENCHIMOL, M.; ALMEIDA, G. de O. de; PRANCE, G.; SILVEIRA, A. B. da; SIMON, M. F.; GARCIA, M. L.; SILVEIRA, M.; VITAL, M.; ANDRADE, M. B. T.; SILVA, N.; ARAÚJO, R. O. de; CAVALHEIRO, L.; CARPANEDO, R.; FERNANDES, L.; MANZATTO, A. G.; ANDRADE, R. T. G. de; MAGNUSSON, W. E.; LAURANCE, B.; NELSON, B. W.; PERES, C.; DALY, D. C.; RODRIGUES, D.; ZOPELETTO, A. P.; OLIVEIRA, E. A. de; DUGACHARD, E.; BARBOSA, F. R.; SANTANA, F.; AMARAL, I. L. do; FERREIRA, L. V.; CHARÃO, L. S.; FERREIRA, J. N.; BARLOW, J.; BLANC, L.; ARAGÃO, L.; SIST, P.; SALOMÃO, R. de P.; SILVA, A. S. L. da; LAURANCE, S.; FELDPAUSCH, T. R.; GARDNER, T.; SANTIAGO, W.; BALEE, W.; LAURANCE, W. F.; MALHI, Y.; PHILLIPS, O. L. Giants of the Amazon: How does environmental variation drive the diversity patterns of large trees? Global Change Biology, 2023, v. 29, n. 17, p. 4861-4879, 2023. Na publicação: Joice Ferreira. Biblioteca(s): Embrapa Amapá; Embrapa Amazônia Oriental; Embrapa Recursos Genéticos e Biotecnologia; Embrapa Roraima. |
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Registros recuperados : 16 | |
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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.
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