Variations in Amazonian forest canopy structure and light environments across environmental and disturbance gradients.

Detalhes bibliográficos
Autor(a) principal: SMITH, M. N.
Data de Publicação: 2019
Outros Autores: 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.
Idioma: eng
Título da fonte: Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
Texto Completo: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1120215
Resumo: 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.
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spelling Variations in Amazonian forest canopy structure and light environments across environmental and disturbance gradients.Ecologia FlorestalFloresta TropicalClimatologiaForest ecologyTropical forestsClimatologyA 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.Paper 499657.MARIELLE NATASHA SMITH, Michigan State UniversityJULIANA SCHITTI, INPANATHAN GONÇALVES, Michigan State UniversityDAVID MINOR, University of Maryland College ParkDANILO ROBERTI ALVES DE ALMEIDA, USP/ESALQDANIEL GOMES ROCHA, INPASUSAN ARAGÓN, UFOPAMARCELO MENIN, UFAMMARCELINO CARNEIRO GUEDES, CPAF-APHELIO TONINI, CPPSULKATIA EMIDIO DA SILVA, CPAADIOGO MARTINS ROSA, INPABRUCE W NELSON, INPACARLOS LEANDRO OLIVEIRA CORDEIRO, IISRAIMUNDO COSME DE OLIVEIRA JUNIOR, CPATUGANG SHAO, Michigan State UniversityMENDELL S. SOUZA, UFOPASEAN MCMAHON, Smithsonian Environmental Research Center (SERC)DANIEL ALMEIDA, UFOPALUIZ E. O. C. ARAGÃO, INPENICOLAS ZASLAVSKY DE LIMA, UFOPAGABRIELA DE OLIVEIRA, University of KansasRAFAEL LEANDRO DE ASSIS, INPAJOSÉ L. CAMARGO, INPARITA G MESQUITA, INPASCOTT R SALESKA, University of ArizonaDAVID D. BRESHEARS, University of ArizonaFLAVIA REGINA CAPELLOTTO COSTA, INPASCOTT C. STARK, Michigan State University.SMITH, M. N.SCHITTI, J.GONÇALVES, N.MINOR, D.ALMEIDA, D. R. A. deROCHA, D. G.ARAGÓN, S.MENIN, M.GUEDES, M. C.TONINI, H.SILVA, K. E. daROSA, D. M.NELSON, B. W.CORDEIRO, C. L. O.OLIVEIRA JUNIOR, R. C. deSHAO, G.SOUZA, M. S.MCMAHON, S.ALMEIDA, D.ARAGÃO, L. E. O. C.LIMA, N. Z. deOLIVEIRA, G. deASSIS, R. L. deCAMARGO, J. L.MESQUITA, R. G.SALESKA, S. R.BRESHEARS, D. D.COSTA, F. R. C.STARK, S. C.2020-02-14T00:36:38Z2020-02-14T00:36:38Z2020-02-1220192020-02-26T11:11:11ZResumo em anais e proceedingsinfo:eu-repo/semantics/publishedVersionIn: AGU FALL MEETING, 2019, San Francisco. Anais... San Francisco: AGU, 2019.http://www.alice.cnptia.embrapa.br/alice/handle/doc/1120215enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2020-02-14T00:36:44Zoai:www.alice.cnptia.embrapa.br:doc/1120215Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542020-02-14T00:36:44Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv Variations in Amazonian forest canopy structure and light environments across environmental and disturbance gradients.
title Variations in Amazonian forest canopy structure and light environments across environmental and disturbance gradients.
spellingShingle Variations in Amazonian forest canopy structure and light environments across environmental and disturbance gradients.
SMITH, M. N.
Ecologia Florestal
Floresta Tropical
Climatologia
Forest ecology
Tropical forests
Climatology
title_short Variations in Amazonian forest canopy structure and light environments across environmental and disturbance gradients.
title_full Variations in Amazonian forest canopy structure and light environments across environmental and disturbance gradients.
title_fullStr Variations in Amazonian forest canopy structure and light environments across environmental and disturbance gradients.
title_full_unstemmed Variations in Amazonian forest canopy structure and light environments across environmental and disturbance gradients.
title_sort Variations in Amazonian forest canopy structure and light environments across environmental and disturbance gradients.
author SMITH, M. N.
author_facet 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.
author_role author
author2 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.
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv 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.
dc.contributor.author.fl_str_mv 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.
dc.subject.por.fl_str_mv Ecologia Florestal
Floresta Tropical
Climatologia
Forest ecology
Tropical forests
Climatology
topic Ecologia Florestal
Floresta Tropical
Climatologia
Forest ecology
Tropical forests
Climatology
description 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.
publishDate 2019
dc.date.none.fl_str_mv 2019
2020-02-14T00:36:38Z
2020-02-14T00:36:38Z
2020-02-12
2020-02-26T11:11:11Z
dc.type.driver.fl_str_mv Resumo em anais e proceedings
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
status_str publishedVersion
dc.identifier.uri.fl_str_mv In: AGU FALL MEETING, 2019, San Francisco. Anais... San Francisco: AGU, 2019.
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1120215
identifier_str_mv In: AGU FALL MEETING, 2019, San Francisco. Anais... San Francisco: AGU, 2019.
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/1120215
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
instname_str Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron_str EMBRAPA
institution EMBRAPA
reponame_str Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
collection Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
repository.name.fl_str_mv Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
repository.mail.fl_str_mv cg-riaa@embrapa.br
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