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Registro Completo |
Biblioteca(s): |
Embrapa Hortaliças. |
Data corrente: |
15/10/2004 |
Data da última atualização: |
15/10/2004 |
Autoria: |
SOUZA, T. T. C.; ALVES, D. M. T.; INOUE-NAGATA, A. K.; NAGATA, T. |
Afiliação: |
Embrapa Hortaliças, Brasília, DF. |
Título: |
Sequence and transient expression of groel protein isolated from whitefly endosybiont for use of geminivirus control. |
Ano de publicação: |
2004 |
Fonte/Imprenta: |
Virus Reviews & Research, Florianópolis, v. 9, p. 241, 2004. Suplement 1. |
Idioma: |
Inglês |
Notas: |
Resumos. Trabalho apresentado no 15º National Meeting of Virology, São Pedro, 2004. |
Palavras-Chave: |
Controle. |
Thesagro: |
Bemisia Tabaci; Inseto; Lycopersicon Esculentum; Mosca Branca; Praga; Proteína; Tomate. |
Thesaurus Nal: |
Begomovirus. |
Categoria do assunto: |
-- |
Marc: |
LEADER 00844naa a2200265 a 4500 001 1776808 005 2004-10-15 008 2004 bl uuuu u00u1 u #d 100 1 $aSOUZA, T. T. C. 245 $aSequence and transient expression of groel protein isolated from whitefly endosybiont for use of geminivirus control. 260 $c2004 500 $aResumos. Trabalho apresentado no 15º National Meeting of Virology, São Pedro, 2004. 650 $aBegomovirus 650 $aBemisia Tabaci 650 $aInseto 650 $aLycopersicon Esculentum 650 $aMosca Branca 650 $aPraga 650 $aProteína 650 $aTomate 653 $aControle 700 1 $aALVES, D. M. T. 700 1 $aINOUE-NAGATA, A. K. 700 1 $aNAGATA, T. 773 $tVirus Reviews & Research, Florianópolis$gv. 9, p. 241, 2004. Suplement 1.
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Embrapa Hortaliças (CNPH) |
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Biblioteca(s): |
Embrapa Amapá. |
Data corrente: |
12/02/2020 |
Data da última atualização: |
16/06/2023 |
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-AP; 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 |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/210797/1/CPAF-AP-2019-Variations-in-Amazonian-forest.pdf
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Marc: |
LEADER 03822nam a2200529 a 4500 001 2120215 005 2023-06-16 008 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 $aIn: AGU FALL MEETING, 2019, San Francisco. Anais... San Francisco: AGU$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.
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