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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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Biblioteca(s): |
Embrapa Instrumentação. |
Data corrente: |
23/11/2023 |
Data da última atualização: |
15/01/2024 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
MALAFATTI, J. O. D.; DOMINGUES, M. A.; MEIRELLES, M. R.; PERES, L. G. S.; BRESOLIN, J. D.; PARIS, E. C. |
Afiliação: |
Department of Chemistry, Federal University of Sao Carlos; Department of Materials Engineering, Federal University of Sao Carlos; Institute of Chemistry, University of Sao Paulo; Department of Materials Engineering, Federal University of Sao Carlos; JOANA DIAS BRESOLIN, CNPDIA; ELAINE CRISTINA PARIS, CNPDIA. |
Título: |
Antifungal and ultraviolet-visible barrier properties in starch films reinforced with CuO nanoparticles. |
Ano de publicação: |
2023 |
Fonte/Imprenta: |
Journal of Applied Polymer Science, v.140, e54290, 2023. |
Páginas: |
14 p. |
DOI: |
.https://doi.org/10.1002/app.54290 |
Idioma: |
Inglês |
Conteúdo: |
Abstract Starch materials are subject to loss of initial characteristics due to the retrogradation degenerative effect, high hygroscopicity, and favoring the growth of the microorganisms, which reduces the shelf life of packaging. In this sense, the insertion of nanoparticulated CuO was evaluated for the best performance. CuO is a semiconductor that can improve optical, mechanical, and antimicrobial properties, enabling excellent promotion of starch films. The hot injection precipitation method was used to obtain CuO nanoparticles in the nanometric scale rapidly. The films were carried out from the starch homogenization in water and urea under temperature, followed by thermopressing at 120C. As a result, the 1% CuO (w w1 ) increased tensile strength from 0.87 ± 0.40 to 1.92 ± 0.09 MPa. Furthermore, the films containing nanoparticles showed a barrier property against radiation in the ultraviolet?visible spectrum, not observed for the micrometric scale. Such results were attributed to the superior opacity of the films generated by nanometric reinforcement. Concerning antimicrobial activity, the films containing CuO showed a fungistatic effect (33%) for the Alternaria alternata fungus, a microorganism very susceptible to carbohydrate-rich sources. Thus, the CuO-reinforced starch films improved physicochemical and biological properties, making them promissory candidates for commercial application. |
Palavras-Chave: |
Antifungal; Copper oxide; Fertilizer; Optical. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1158668/1/P-Antifungal-and-ultravioletvisible-barrier-properties-in.pdf
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Marc: |
LEADER 02175naa a2200253 a 4500 001 2158668 005 2024-01-15 008 2023 bl uuuu u00u1 u #d 024 7 $a.https://doi.org/10.1002/app.54290$2DOI 100 1 $aMALAFATTI, J. O. D. 245 $aAntifungal and ultraviolet-visible barrier properties in starch films reinforced with CuO nanoparticles.$h[electronic resource] 260 $c2023 300 $a14 p. 520 $aAbstract Starch materials are subject to loss of initial characteristics due to the retrogradation degenerative effect, high hygroscopicity, and favoring the growth of the microorganisms, which reduces the shelf life of packaging. In this sense, the insertion of nanoparticulated CuO was evaluated for the best performance. CuO is a semiconductor that can improve optical, mechanical, and antimicrobial properties, enabling excellent promotion of starch films. The hot injection precipitation method was used to obtain CuO nanoparticles in the nanometric scale rapidly. The films were carried out from the starch homogenization in water and urea under temperature, followed by thermopressing at 120C. As a result, the 1% CuO (w w1 ) increased tensile strength from 0.87 ± 0.40 to 1.92 ± 0.09 MPa. Furthermore, the films containing nanoparticles showed a barrier property against radiation in the ultraviolet?visible spectrum, not observed for the micrometric scale. Such results were attributed to the superior opacity of the films generated by nanometric reinforcement. Concerning antimicrobial activity, the films containing CuO showed a fungistatic effect (33%) for the Alternaria alternata fungus, a microorganism very susceptible to carbohydrate-rich sources. Thus, the CuO-reinforced starch films improved physicochemical and biological properties, making them promissory candidates for commercial application. 653 $aAntifungal 653 $aCopper oxide 653 $aFertilizer 653 $aOptical 700 1 $aDOMINGUES, M. A. 700 1 $aMEIRELLES, M. R. 700 1 $aPERES, L. G. S. 700 1 $aBRESOLIN, J. D. 700 1 $aPARIS, E. C. 773 $tJournal of Applied Polymer Science$gv.140, e54290, 2023.
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