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Title: Airborne observations reveal elevational gradient in tropical forest isoprene emissions
Authors: 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
Keywords: Isoprene
Air Quality
Airborne Survey
Eddy Covariance
Satellite Altimetry
Tropical Forest
Volatile Organic Compound
Air Pollution
Air Quality
Airborne Paircraft
Boundary Layer
Carbon Footprint
Climate Change
Eddy Covariance
Environmental Impact
Global Climate
Land Use
Mass Spectrometry
Pollution Monitoring
Proton Transport
Species Distribution
Tropical Rain Forest
Wavelet Analysis
Issue Date: 2017
metadata.dc.publisher.journal: Nature Communications
metadata.dc.relation.ispartof: Volume 8
Abstract: 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.
metadata.dc.identifier.doi: 10.1038/ncomms15541
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