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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. |
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6. | | 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. |
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7. | | 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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8. | | 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. |
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9. | | 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. |
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10. | | 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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11. | | 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. |
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12. | | 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. |
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13. | | 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. |
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14. | | 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. |
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15. | | 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. |
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16. | | 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. |
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17. | | 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. |
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18. | | 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. |
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19. | | ROCHA, H. R. da; GOULDEN, M.; MILLER, S.; MANZI, A. O.; CABRAL, O. M. R.; FREITAS, H. C. de; NOBRE, A.; SALESKA, S.; WOFSY, S.; KRUIJT, B.; RANDOW, C. VON. Patterns of CO2 and water fluxes measured by flux towers across tropical forest, ecotone and savanna ecosystems in Brazil. In: INTEGRATED LAND ECOSYSTEM - ATMOSPHERE PROCESSES STUDY, 1., 2006, Colorado, USA. Proceedings... Colorado, USA: Finnish Association for Aerosol Research, 2006. p. 215. (Report Series in Aerosol Science, n. 76). Editors: Anni Reissell, Asbjorn Aarflot. Biblioteca(s): Embrapa Meio Ambiente. |
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20. | | 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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Registros recuperados : 49 | |
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Registro Completo
Biblioteca(s): |
Embrapa Amazônia Ocidental; Embrapa Amazônia Oriental; Embrapa Pecuária Sul. |
Data corrente: |
13/02/2020 |
Data da última atualização: |
21/02/2020 |
Tipo da produção científica: |
Resumo em Anais de Congresso |
Autoria: |
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. |
Afiliação: |
MARIELLE NATASHA SMITH, Michigan State University; JULIANA SCHITTI, INPA; NATHAN GONÇALVES, Michigan State University; DAVID MINOR, University of Maryland College Park; DANILO ROBERTI ALVES DE ALMEIDA, USP/ESALQ; DANIEL GOMES ROCHA, INPA; SUSAN ARAGÓN, UFOPA; MARCELO MENIN, UFAM; MARCELINO CARNEIRO GUEDES, CPAF-Amapá; HELIO TONINI, CPPSUL; KATIA EMIDIO DA SILVA, CPAA; DIOGO MARTINS ROSA, INPA; BRUCE W NELSON, INPA; CARLOS LEANDRO OLIVEIRA CORDEIRO, IIS; RAIMUNDO COSME DE OLIVEIRA JUNIOR, CPATU; GANG SHAO, Michigan State University; MENDELL S. SOUZA, UFOPA; SEAN MCMAHON, Smithsonian Environmental Research Center (SERC); DANIEL ALMEIDA, UFOPA; LUIZ E. O. C. ARAGÃO, INPE; NICOLAS ZASLAVSKY DE LIMA, UFOPA; GABRIELA DE OLIVEIRA, University of Kansas; RAFAEL LEANDRO DE ASSIS, INPA; JOSÉ L. CAMARGO, INPA; RITA G MESQUITA, INPA; SCOTT R SALESKA, University of Arizona; DAVID D. BRESHEARS, University of Arizona; FLAVIA REGINA CAPELLOTTO COSTA, INPA; SCOTT C. STARK, Michigan State University. |
Título: |
Variations in Amazonian forest canopy structure and light environments across environmental and disturbance gradients. |
Ano de publicação: |
2019 |
Fonte/Imprenta: |
In: AGU FALL MEETING, 2019, San Francisco. Anais... San Francisco: AGU, 2019. |
Idioma: |
Inglês |
Notas: |
Paper 499657. |
Conteúdo: |
A critical problem in tropical forest ecology is understanding how vegetation structure and function vary over environmental gradients. The degree to which forest structure changes across the Amazon basin and the role of environmental variability in shaping forest structure and dynamics are poorly characterised, despite the importance of these forests for regional and global climate. To address these challenges, we connected 10 years of investigations to amass a large database of ground-based profiling canopy lidar (PCL) data from 297 Amazon forest plots across large-scale environmental and disturbance gradients. Mean annual precipitation varied from 1,963 to 3,159 mm, number of dry season months from 0 to 5, and plot soil types covered about half of the variation in phosphorus, exchangeable cation, and soil physical property values observed in Amazonia. We quantified detailed metrics of vertical and horizontal structure and canopy light environments. Forest structure varied considerably across plots; maximum canopy height ranged from 6.1 to 35.7 m, gap fraction from 0.00 to 0.36, LAI from 0.5 to 7.3, rugosity from 1.5 to 7.5 m, and the relative height of 50% light transmission from 0.3 to 0.8. Disturbed sites exhibited almost twice the level of variation (SD) to non-disturbed sites for many metrics. Vertical leaf area density (LAD) profiles also showed high between plot variability, especially at low and high relative canopy heights. Plots with similar LAD profiles sometimes exhibited different distributions of ?canopy photic environment layers??where canopy leaf area is separated into photic environment layers by depth from canopy surface. This demonstrates that LAD profiles alone are insufficient for characterising canopy environments, essential to light-driven regeneration and carbon cycle processes. In addition, we evaluated relationships between lidar metrics and environmental variables extracted from geospatial layers. Our dataset allows a unique and detailed multi-site analysis of canopy structure and environments across the Amazon, including regions with little or no lidar sampling. Examining how structural attributes alter across environmental gradients is critical to understanding how current and future climate influences Amazonian forest structure, function, and dynamics. MenosA critical problem in tropical forest ecology is understanding how vegetation structure and function vary over environmental gradients. The degree to which forest structure changes across the Amazon basin and the role of environmental variability in shaping forest structure and dynamics are poorly characterised, despite the importance of these forests for regional and global climate. To address these challenges, we connected 10 years of investigations to amass a large database of ground-based profiling canopy lidar (PCL) data from 297 Amazon forest plots across large-scale environmental and disturbance gradients. Mean annual precipitation varied from 1,963 to 3,159 mm, number of dry season months from 0 to 5, and plot soil types covered about half of the variation in phosphorus, exchangeable cation, and soil physical property values observed in Amazonia. We quantified detailed metrics of vertical and horizontal structure and canopy light environments. Forest structure varied considerably across plots; maximum canopy height ranged from 6.1 to 35.7 m, gap fraction from 0.00 to 0.36, LAI from 0.5 to 7.3, rugosity from 1.5 to 7.5 m, and the relative height of 50% light transmission from 0.3 to 0.8. Disturbed sites exhibited almost twice the level of variation (SD) to non-disturbed sites for many metrics. Vertical leaf area density (LAD) profiles also showed high between plot variability, especially at low and high relative canopy heights. Plots with similar LAD profiles sometime... Mostrar Tudo |
Thesagro: |
Climatologia; Ecologia Florestal; Floresta Tropical. |
Thesaurus NAL: |
Climatology; Forest ecology; Tropical forests. |
Categoria do assunto: |
K Ciência Florestal e Produtos de Origem Vegetal |
Marc: |
LEADER 03844naa a2200541 a 4500 001 2120544 005 2020-02-21 008 2019 bl uuuu u00u1 u #d 100 1 $aSMITH, M. N. 245 $aVariations in Amazonian forest canopy structure and light environments across environmental and disturbance gradients.$h[electronic resource] 260 $c2019 500 $aPaper 499657. 520 $aA critical problem in tropical forest ecology is understanding how vegetation structure and function vary over environmental gradients. The degree to which forest structure changes across the Amazon basin and the role of environmental variability in shaping forest structure and dynamics are poorly characterised, despite the importance of these forests for regional and global climate. To address these challenges, we connected 10 years of investigations to amass a large database of ground-based profiling canopy lidar (PCL) data from 297 Amazon forest plots across large-scale environmental and disturbance gradients. Mean annual precipitation varied from 1,963 to 3,159 mm, number of dry season months from 0 to 5, and plot soil types covered about half of the variation in phosphorus, exchangeable cation, and soil physical property values observed in Amazonia. We quantified detailed metrics of vertical and horizontal structure and canopy light environments. Forest structure varied considerably across plots; maximum canopy height ranged from 6.1 to 35.7 m, gap fraction from 0.00 to 0.36, LAI from 0.5 to 7.3, rugosity from 1.5 to 7.5 m, and the relative height of 50% light transmission from 0.3 to 0.8. Disturbed sites exhibited almost twice the level of variation (SD) to non-disturbed sites for many metrics. Vertical leaf area density (LAD) profiles also showed high between plot variability, especially at low and high relative canopy heights. Plots with similar LAD profiles sometimes exhibited different distributions of ?canopy photic environment layers??where canopy leaf area is separated into photic environment layers by depth from canopy surface. This demonstrates that LAD profiles alone are insufficient for characterising canopy environments, essential to light-driven regeneration and carbon cycle processes. In addition, we evaluated relationships between lidar metrics and environmental variables extracted from geospatial layers. Our dataset allows a unique and detailed multi-site analysis of canopy structure and environments across the Amazon, including regions with little or no lidar sampling. Examining how structural attributes alter across environmental gradients is critical to understanding how current and future climate influences Amazonian forest structure, function, and dynamics. 650 $aClimatology 650 $aForest ecology 650 $aTropical forests 650 $aClimatologia 650 $aEcologia Florestal 650 $aFloresta Tropical 700 1 $aSCHITTI, J. 700 1 $aGONÇALVES, N. 700 1 $aMINOR, D. 700 1 $aALMEIDA, D. R. A. de 700 1 $aROCHA, D. G. 700 1 $aARAGÓN, S. 700 1 $aMENIN, M. 700 1 $aGUEDES, M. C. 700 1 $aTONINI, H. 700 1 $aSILVA, K. E. da 700 1 $aROSA, D. M. 700 1 $aNELSON, B. W. 700 1 $aCORDEIRO, C. L. O. 700 1 $aOLIVEIRA JUNIOR, R. C. de 700 1 $aSHAO, G. 700 1 $aSOUZA, M. S. 700 1 $aMCMAHON, S. 700 1 $aALMEIDA, D. 700 1 $aARAGÃO, L. E. O. C. 700 1 $aLIMA, N. Z. de 700 1 $aOLIVEIRA, G. de 700 1 $aASSIS, R. L. de 700 1 $aCAMARGO, J. L. 700 1 $aMESQUITA, R. G. 700 1 $aSALESKA, S. R. 700 1 $aBRESHEARS, D. D. 700 1 $aCOSTA, F. R. C. 700 1 $aSTARK, S. C. 773 $tIn: AGU FALL MEETING, 2019, San Francisco. Anais... San Francisco: AGU, 2019.
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