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| Acesso ao texto completo restrito à biblioteca da Embrapa Amazônia Ocidental. Para informações adicionais entre em contato com cpaa.biblioteca@embrapa.br. |
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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Registro original: |
Embrapa Pecuária Sul (CPPSUL) |
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| Acesso ao texto completo restrito à biblioteca da Embrapa Pecuária Sudeste. Para informações adicionais entre em contato com cppse.biblioteca@embrapa.br. |
Registro Completo
Biblioteca(s): |
Embrapa Pecuária Sudeste. |
Data corrente: |
16/12/2021 |
Data da última atualização: |
13/03/2023 |
Tipo da produção científica: |
Resumo em Anais de Congresso |
Autoria: |
PONTES, D. S.; ROSADO, R. D. S.; SILVA JÚNIOR, A. C. da; CRUZ, C. D.; FERREIRA, R. de P.; VILELA, D. |
Afiliação: |
DAIANA SALLES PONTES, Universidade Federal de Viçosa; RENATO DOMICIANO SILVA ROSADO, Universidade Federal de Viçosa; ANTÔNIO CARLOS DA SILVA JÚNIOR, Universidade Federal de Viçosa; COSME DAMIÃO CRUZ, Universidade Federal de Viçosa; REINALDO DE PAULA FERREIRA, CPPSE; DUARTE VILELA, CNPGL. |
Título: |
Ficha de análise multi-informação para recomendar cultivares de alfafa. |
Ano de publicação: |
2020 |
Fonte/Imprenta: |
In: SIMPÓSIO DE FITOTECNIA, 2020. Inovação e sustentabilidade na agricultura: anais... Viçosa, MG: Universidade Federal de Viçosa, 2020. |
Páginas: |
p. 90. |
Idioma: |
Português |
Palavras-Chave: |
Adaptabilidade; Estabilidade; Interação genótipo x ambiente. |
Thesagro: |
Alfafa; Biometria; Medicago Sativa; Melhoramento Vegetal. |
Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
Marc: |
LEADER 00836nam a2200253 a 4500 001 2137960 005 2023-03-13 008 2020 bl uuuu u01u1 u #d 100 1 $aPONTES, D. S. 245 $aFicha de análise multi-informação para recomendar cultivares de alfafa.$h[electronic resource] 260 $aIn: SIMPÓSIO DE FITOTECNIA, 2020. Inovação e sustentabilidade na agricultura: anais... Viçosa, MG: Universidade Federal de Viçosa$c2020 300 $ap. 90. 650 $aAlfafa 650 $aBiometria 650 $aMedicago Sativa 650 $aMelhoramento Vegetal 653 $aAdaptabilidade 653 $aEstabilidade 653 $aInteração genótipo x ambiente 700 1 $aROSADO, R. D. S. 700 1 $aSILVA JÚNIOR, A. C. da 700 1 $aCRUZ, C. D. 700 1 $aFERREIRA, R. de P. 700 1 $aVILELA, D.
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