Variations in Amazonian forest canopy structure and light environments across environmental and disturbance gradients.
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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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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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1817695586831302656 |