
AbstractIsoprene 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.
Proton Transport, Isoprene, Pollution Monitoring, 550, Life on Land, Climate Change, Science, Wavelet Analysis, Amazonas, Satellite Altimetry, Mass Spectrometry, Article, Air Quality, Amazonia, Volatile Organic Compound, Air Pollution, Land Use, Boundary Layer, Environmental Impact, Tropical Forest, Airborne Paircraft, Tropical Rain Forest, Photooxidation, Carbon Footprint, Measurement, Q, Species Distribution, Climate Action, Elevation, Airborne Survey, Eddy Covariance, Prediction, Global Climate
Proton Transport, Isoprene, Pollution Monitoring, 550, Life on Land, Climate Change, Science, Wavelet Analysis, Amazonas, Satellite Altimetry, Mass Spectrometry, Article, Air Quality, Amazonia, Volatile Organic Compound, Air Pollution, Land Use, Boundary Layer, Environmental Impact, Tropical Forest, Airborne Paircraft, Tropical Rain Forest, Photooxidation, Carbon Footprint, Measurement, Q, Species Distribution, Climate Action, Elevation, Airborne Survey, Eddy Covariance, Prediction, Global Climate
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