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Registro Completo |
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Biblioteca(s): |
Embrapa Agropecuária Oeste; Embrapa Cerrados; Embrapa Meio-Norte; Embrapa Soja; Embrapa Unidades Centrais. |
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Data corrente: |
27/12/2004 |
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Data da última atualização: |
28/10/2009 |
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Autoria: |
SHIRATSUCHI, L. S.; SANO, E. E. |
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Título: |
Mapeamento de unidades experimentais com GPS: caso de estudo da Embrapa Cerrados. |
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Ano de publicação: |
2003 |
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Fonte/Imprenta: |
Planaltina, DF: Embrapa Cerrados, 2003. |
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Páginas: |
34 p. |
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Série: |
(Embrapa Cerrados. Documentos, 90). |
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Idioma: |
Português |
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Conteúdo: |
ABSTRACT: The major objective of this work was to map the research units and the infrastructure available in the Embrapa Cerrados experimental farm in Planaltina, Federal District. More than 190 identities were observed and mapped through the use of GPS portable receiver with an accuracy of about five meters. The UTM coordinates obtained by the GPS were stored in a Geographical Information System (GIS) to generate polygons, lines and points of those identities. A set of these GPS coordinates were also used as the control points for georreferencing the thematic maps founds in the Atlas od CPAC )soils, slope, geomorphology, natural vegetation, forest resources and biological reserves). This study showed that the use of GPS receivers and the resources available in a GIS software package are sufficient to conduct experimental farm mappings with required precision and detail for their management. |
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Palavras-Chave: |
Embrapa Cerrados; Geoprocessamento; Geoprocessing; Georeferenciamento; GPS; Mapeamento; Mapping; Pilot farms. |
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Thesagro: |
Fazenda Experimental; Sensoriamento Remoto; Sistema de Informação Geográfica. |
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Thesaurus Nal: |
geographic information systems. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/CPAC-2009/25154/1/doc_90.pdf
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Marc: |
LEADER 01736nam a2200289 a 4500
001 1568131
005 2009-10-28
008 2003 bl uuuu u0uu1 u #d
100 1 $aSHIRATSUCHI, L. S.
245 $aMapeamento de unidades experimentais com GPS$bcaso de estudo da Embrapa Cerrados.
260 $aPlanaltina, DF: Embrapa Cerrados$c2003
300 $a34 p.
490 $a(Embrapa Cerrados. Documentos, 90).
520 $aABSTRACT: The major objective of this work was to map the research units and the infrastructure available in the Embrapa Cerrados experimental farm in Planaltina, Federal District. More than 190 identities were observed and mapped through the use of GPS portable receiver with an accuracy of about five meters. The UTM coordinates obtained by the GPS were stored in a Geographical Information System (GIS) to generate polygons, lines and points of those identities. A set of these GPS coordinates were also used as the control points for georreferencing the thematic maps founds in the Atlas od CPAC )soils, slope, geomorphology, natural vegetation, forest resources and biological reserves). This study showed that the use of GPS receivers and the resources available in a GIS software package are sufficient to conduct experimental farm mappings with required precision and detail for their management.
650 $ageographic information systems
650 $aFazenda Experimental
650 $aSensoriamento Remoto
650 $aSistema de Informação Geográfica
653 $aEmbrapa Cerrados
653 $aGeoprocessamento
653 $aGeoprocessing
653 $aGeoreferenciamento
653 $aGPS
653 $aMapeamento
653 $aMapping
653 $aPilot farms
700 1 $aSANO, E. E.
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Registro original: |
Embrapa Cerrados (CPAC) |
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Registro Completo
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Biblioteca(s): |
Embrapa Amapá. |
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Data corrente: |
12/02/2020 |
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Data da última atualização: |
16/06/2023 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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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. |
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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. |
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Título: |
Variations in Amazonian forest canopy structure and light environments across environmental and disturbance gradients. |
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Ano de publicação: |
2019 |
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Fonte/Imprenta: |
In: AGU FALL MEETING, 2019, San Francisco. Anais... San Francisco: AGU, 2019. |
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Idioma: |
Inglês |
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Notas: |
Paper 499657. |
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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 |
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Thesagro: |
Climatologia; Ecologia Florestal; Floresta Tropical. |
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Thesaurus NAL: |
Climatology; Forest ecology; Tropical forests. |
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Categoria do assunto: |
K Ciência Florestal e Produtos de Origem Vegetal |
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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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Registro original: |
Embrapa Amapá (CPAF-AP) |
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