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dc.contributor.authorSMITH, M. N.eng
dc.contributor.authorSCHITTI, J.eng
dc.contributor.authorGONÇALVES, N.eng
dc.contributor.authorMINOR, D.eng
dc.contributor.authorALMEIDA, D. R. A. deeng
dc.contributor.authorROCHA, D. G.eng
dc.contributor.authorARAGÓN, S.eng
dc.contributor.authorMENIN, M.eng
dc.contributor.authorGUEDES, M. C.eng
dc.contributor.authorTONINI, H.eng
dc.contributor.authorSILVA, K. E. daeng
dc.contributor.authorROSA, D. M.eng
dc.contributor.authorNELSON, B. W.eng
dc.contributor.authorCORDEIRO, C. L. O.eng
dc.contributor.authorOLIVEIRA JUNIOR, R. C. deeng
dc.contributor.authorSHAO, G.eng
dc.contributor.authorSOUZA, M. S.eng
dc.contributor.authorMCMAHON, S.eng
dc.contributor.authorALMEIDA, D.eng
dc.contributor.authorARAGÃO, L. E. O. C.eng
dc.contributor.authorLIMA, N. Z. deeng
dc.contributor.authorOLIVEIRA, G. deeng
dc.contributor.authorASSIS, R. L. deeng
dc.contributor.authorCAMARGO, J. L.eng
dc.contributor.authorMESQUITA, R. G.eng
dc.contributor.authorSALESKA, S. R.eng
dc.contributor.authorBRESHEARS, D. D.eng
dc.contributor.authorCOSTA, F. R. C.eng
dc.contributor.authorSTARK, S. C.eng
dc.date.accessioned2020-02-14T00:36:38Z-
dc.date.available2020-02-14T00:36:38Z-
dc.date.created2020-02-12
dc.date.issued2019
dc.identifier.citationIn: AGU FALL MEETING, 2019, San Francisco. Anais... San Francisco: AGU, 2019.eng
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1120215-
dc.descriptionA 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.eng
dc.language.isoengeng
dc.rightsopenAccesseng
dc.titleVariations in Amazonian forest canopy structure and light environments across environmental and disturbance gradients.eng
dc.typeResumo em anais e proceedingseng
dc.date.updated2020-02-26T11:11:11Z
dc.subject.thesagroEcologia Florestaleng
dc.subject.thesagroFloresta Tropicaleng
dc.subject.thesagroClimatologiaeng
dc.subject.nalthesaurusForest ecologyeng
dc.subject.nalthesaurusTropical forestseng
dc.subject.nalthesaurusClimatologyeng
dc.description.notesPaper 499657.eng
riaa.ainfo.id1120215eng
riaa.ainfo.lastupdate2020-02-26 -03:00:00
dc.contributor.institutionMARIELLE NATASHA SMITH, Michigan State Universityeng
dc.contributor.institutionJULIANA SCHITTI, INPAeng
dc.contributor.institutionNATHAN GONÇALVES, Michigan State Universityeng
dc.contributor.institutionDAVID MINOR, University of Maryland College Parkeng
dc.contributor.institutionDANILO ROBERTI ALVES DE ALMEIDA, USP/ESALQeng
dc.contributor.institutionDANIEL GOMES ROCHA, INPAeng
dc.contributor.institutionSUSAN ARAGÓN, UFOPAeng
dc.contributor.institutionMARCELO MENIN, UFAMeng
dc.contributor.institutionMARCELINO CARNEIRO GUEDES, CPAF-APeng
dc.contributor.institutionHELIO TONINI, CPPSULeng
dc.contributor.institutionKATIA EMIDIO DA SILVA, CPAAeng
dc.contributor.institutionDIOGO MARTINS ROSA, INPAeng
dc.contributor.institutionBRUCE W NELSON, INPAeng
dc.contributor.institutionCARLOS LEANDRO OLIVEIRA CORDEIRO, IISeng
dc.contributor.institutionRAIMUNDO COSME DE OLIVEIRA JUNIOR, CPATUeng
dc.contributor.institutionGANG SHAO, Michigan State Universityeng
dc.contributor.institutionMENDELL S. SOUZA, UFOPAeng
dc.contributor.institutionSEAN MCMAHON, Smithsonian Environmental Research Center (SERC)eng
dc.contributor.institutionDANIEL ALMEIDA, UFOPAeng
dc.contributor.institutionLUIZ E. O. C. ARAGÃO, INPEeng
dc.contributor.institutionNICOLAS ZASLAVSKY DE LIMA, UFOPAeng
dc.contributor.institutionGABRIELA DE OLIVEIRA, University of Kansaseng
dc.contributor.institutionRAFAEL LEANDRO DE ASSIS, INPAeng
dc.contributor.institutionJOSÉ L. CAMARGO, INPAeng
dc.contributor.institutionRITA G MESQUITA, INPAeng
dc.contributor.institutionSCOTT R SALESKA, University of Arizonaeng
dc.contributor.institutionDAVID D. BRESHEARS, University of Arizonaeng
dc.contributor.institutionFLAVIA REGINA CAPELLOTTO COSTA, INPAeng
dc.contributor.institutionSCOTT C. STARK, Michigan State University.eng
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