Airborne observations reveal elevational gradient in tropical forest isoprene emissions
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , , , , , , , , , , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional do INPA |
Texto Completo: | https://repositorio.inpa.gov.br/handle/1/15734 |
Resumo: | Isoprene dominates global non-methane volatile organic compound emissions, and impacts tropospheric chemistry by influencing oxidants and aerosols. Isoprene emission rates vary over several orders of magnitude for different plants, and characterizing this immense biological chemodiversity is a challenge for estimating isoprene emission from tropical forests. Here we present the isoprene emission estimates from aircraft eddy covariance measurements over the Amazonian forest. We report isoprene emission rates that are three times higher than satellite top-down estimates and 35% higher than model predictions. The results reveal strong correlations between observed isoprene emission rates and terrain elevations, which are confirmed by similar correlations between satellite-derived isoprene emissions and terrain elevations. We propose that the elevational gradient in the Amazonian forest isoprene emission capacity is determined by plant species distributions and can substantially explain isoprene emission variability in tropical forests, and use a model to demonstrate the resulting impacts on regional air quality. © The Author(s) 2017. |
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Gu, DasaGuenther, Alex B.Shilling, John E.Yu, HaofeiHuang, MaoyiZhao, ChunYang, QingMartin, Scot T.Artaxo, PauloKim, SaewungSeco, RogerStavrakou, TrissevgeniLongo, Karla MariaTóta, JúlioSouza, Rodrigo Augusto Ferreira deVega, Oscar B.Liu, YingShrivastava, Manish K.Alves, Eliane GomesSantos, Fernando C.Leng, GuoyongHu, Zhiyuan2020-05-18T18:29:12Z2020-05-18T18:29:12Z2017https://repositorio.inpa.gov.br/handle/1/1573410.1038/ncomms15541Isoprene dominates global non-methane volatile organic compound emissions, and impacts tropospheric chemistry by influencing oxidants and aerosols. Isoprene emission rates vary over several orders of magnitude for different plants, and characterizing this immense biological chemodiversity is a challenge for estimating isoprene emission from tropical forests. Here we present the isoprene emission estimates from aircraft eddy covariance measurements over the Amazonian forest. We report isoprene emission rates that are three times higher than satellite top-down estimates and 35% higher than model predictions. The results reveal strong correlations between observed isoprene emission rates and terrain elevations, which are confirmed by similar correlations between satellite-derived isoprene emissions and terrain elevations. We propose that the elevational gradient in the Amazonian forest isoprene emission capacity is determined by plant species distributions and can substantially explain isoprene emission variability in tropical forests, and use a model to demonstrate the resulting impacts on regional air quality. © The Author(s) 2017.Volume 8Attribution-NonCommercial-NoDerivs 3.0 Brazilhttp://creativecommons.org/licenses/by-nc-nd/3.0/br/info:eu-repo/semantics/openAccessIsopreneAir QualityAirborne SurveyEddy CovarianceElevationIsopreneSatellite AltimetryTropical ForestVolatile Organic CompoundAir PollutionAir QualityAirborne PaircraftAmazonasBoundary LayerCarbon FootprintClimate ChangeEddy CovarianceEnvironmental ImpactGlobal ClimateLand UseMass SpectrometryMeasurementPhotooxidationPollution MonitoringPredictionProton TransportSpecies DistributionTropical Rain ForestWavelet AnalysisAmazoniaAirborne observations reveal elevational gradient in tropical forest isoprene emissionsinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleNature Communicationsengreponame:Repositório Institucional do INPAinstname:Instituto Nacional de Pesquisas da Amazônia (INPA)instacron:INPAORIGINALartigo-inpa.pdfartigo-inpa.pdfapplication/pdf2626069https://repositorio.inpa.gov.br/bitstream/1/15734/1/artigo-inpa.pdf503c22317eedd8f4520eeb182e7969a4MD511/157342020-05-18 14:49:32.818oai:repositorio:1/15734Repositório de PublicaçõesPUBhttps://repositorio.inpa.gov.br/oai/requestopendoar:2020-05-18T18:49:32Repositório Institucional do INPA - Instituto Nacional de Pesquisas da Amazônia (INPA)false |
dc.title.en.fl_str_mv |
Airborne observations reveal elevational gradient in tropical forest isoprene emissions |
title |
Airborne observations reveal elevational gradient in tropical forest isoprene emissions |
spellingShingle |
Airborne observations reveal elevational gradient in tropical forest isoprene emissions Gu, Dasa Isoprene Air Quality Airborne Survey Eddy Covariance Elevation Isoprene Satellite Altimetry Tropical Forest Volatile Organic Compound Air Pollution Air Quality Airborne Paircraft Amazonas Boundary Layer Carbon Footprint Climate Change Eddy Covariance Environmental Impact Global Climate Land Use Mass Spectrometry Measurement Photooxidation Pollution Monitoring Prediction Proton Transport Species Distribution Tropical Rain Forest Wavelet Analysis Amazonia |
title_short |
Airborne observations reveal elevational gradient in tropical forest isoprene emissions |
title_full |
Airborne observations reveal elevational gradient in tropical forest isoprene emissions |
title_fullStr |
Airborne observations reveal elevational gradient in tropical forest isoprene emissions |
title_full_unstemmed |
Airborne observations reveal elevational gradient in tropical forest isoprene emissions |
title_sort |
Airborne observations reveal elevational gradient in tropical forest isoprene emissions |
author |
Gu, Dasa |
author_facet |
Gu, Dasa Guenther, Alex B. Shilling, John E. Yu, Haofei Huang, Maoyi Zhao, Chun Yang, Qing Martin, Scot T. Artaxo, Paulo Kim, Saewung Seco, Roger Stavrakou, Trissevgeni Longo, Karla Maria Tóta, Júlio Souza, Rodrigo Augusto Ferreira de Vega, Oscar B. Liu, Ying Shrivastava, Manish K. Alves, Eliane Gomes Santos, Fernando C. Leng, Guoyong Hu, Zhiyuan |
author_role |
author |
author2 |
Guenther, Alex B. Shilling, John E. Yu, Haofei Huang, Maoyi Zhao, Chun Yang, Qing Martin, Scot T. Artaxo, Paulo Kim, Saewung Seco, Roger Stavrakou, Trissevgeni Longo, Karla Maria Tóta, Júlio Souza, Rodrigo Augusto Ferreira de Vega, Oscar B. Liu, Ying Shrivastava, Manish K. Alves, Eliane Gomes Santos, Fernando C. Leng, Guoyong Hu, Zhiyuan |
author2_role |
author author author author author author author author author author author author author author author author author author author author author |
dc.contributor.author.fl_str_mv |
Gu, Dasa Guenther, Alex B. Shilling, John E. Yu, Haofei Huang, Maoyi Zhao, Chun Yang, Qing Martin, Scot T. Artaxo, Paulo Kim, Saewung Seco, Roger Stavrakou, Trissevgeni Longo, Karla Maria Tóta, Júlio Souza, Rodrigo Augusto Ferreira de Vega, Oscar B. Liu, Ying Shrivastava, Manish K. Alves, Eliane Gomes Santos, Fernando C. Leng, Guoyong Hu, Zhiyuan |
dc.subject.eng.fl_str_mv |
Isoprene Air Quality Airborne Survey Eddy Covariance Elevation Isoprene Satellite Altimetry Tropical Forest Volatile Organic Compound Air Pollution Air Quality Airborne Paircraft Amazonas Boundary Layer Carbon Footprint Climate Change Eddy Covariance Environmental Impact Global Climate Land Use Mass Spectrometry Measurement Photooxidation Pollution Monitoring Prediction Proton Transport Species Distribution Tropical Rain Forest Wavelet Analysis Amazonia |
topic |
Isoprene Air Quality Airborne Survey Eddy Covariance Elevation Isoprene Satellite Altimetry Tropical Forest Volatile Organic Compound Air Pollution Air Quality Airborne Paircraft Amazonas Boundary Layer Carbon Footprint Climate Change Eddy Covariance Environmental Impact Global Climate Land Use Mass Spectrometry Measurement Photooxidation Pollution Monitoring Prediction Proton Transport Species Distribution Tropical Rain Forest Wavelet Analysis Amazonia |
description |
Isoprene dominates global non-methane volatile organic compound emissions, and impacts tropospheric chemistry by influencing oxidants and aerosols. Isoprene emission rates vary over several orders of magnitude for different plants, and characterizing this immense biological chemodiversity is a challenge for estimating isoprene emission from tropical forests. Here we present the isoprene emission estimates from aircraft eddy covariance measurements over the Amazonian forest. We report isoprene emission rates that are three times higher than satellite top-down estimates and 35% higher than model predictions. The results reveal strong correlations between observed isoprene emission rates and terrain elevations, which are confirmed by similar correlations between satellite-derived isoprene emissions and terrain elevations. We propose that the elevational gradient in the Amazonian forest isoprene emission capacity is determined by plant species distributions and can substantially explain isoprene emission variability in tropical forests, and use a model to demonstrate the resulting impacts on regional air quality. © The Author(s) 2017. |
publishDate |
2017 |
dc.date.issued.fl_str_mv |
2017 |
dc.date.accessioned.fl_str_mv |
2020-05-18T18:29:12Z |
dc.date.available.fl_str_mv |
2020-05-18T18:29:12Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://repositorio.inpa.gov.br/handle/1/15734 |
dc.identifier.doi.none.fl_str_mv |
10.1038/ncomms15541 |
url |
https://repositorio.inpa.gov.br/handle/1/15734 |
identifier_str_mv |
10.1038/ncomms15541 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartof.pt_BR.fl_str_mv |
Volume 8 |
dc.rights.driver.fl_str_mv |
Attribution-NonCommercial-NoDerivs 3.0 Brazil http://creativecommons.org/licenses/by-nc-nd/3.0/br/ info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Attribution-NonCommercial-NoDerivs 3.0 Brazil http://creativecommons.org/licenses/by-nc-nd/3.0/br/ |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
Nature Communications |
publisher.none.fl_str_mv |
Nature Communications |
dc.source.none.fl_str_mv |
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INPA |
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Repositório Institucional do INPA |
collection |
Repositório Institucional do INPA |
bitstream.url.fl_str_mv |
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