Intra- and interannual changes in isoprene emission from central Amazonia
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Published:2023-07-21
Issue:14
Volume:23
Page:8149-8168
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ISSN:1680-7324
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Container-title:Atmospheric Chemistry and Physics
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language:en
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Short-container-title:Atmos. Chem. Phys.
Author:
Gomes Alves Eliane, Aquino Santana Raoni, Quaresma Dias-Júnior CléoORCID, Botía SantiagoORCID, Taylor Tyeen, Yáñez-Serrano Ana MariaORCID, Kesselmeier JürgenORCID, Bourtsoukidis EfstratiosORCID, Williams Jonathan, Lembo Silveira de Assis Pedro IvoORCID, Martins Giordane, de Souza RodrigoORCID, Duvoisin Júnior Sérgio, Guenther AlexORCID, Gu DasaORCID, Tsokankunku AnywhereORCID, Sörgel MatthiasORCID, Nelson BruceORCID, Pinto Davieliton, Komiya ShujiroORCID, Martins Rosa Diogo, Weber BettinaORCID, Barbosa CybelliORCID, Robin Michelle, Feeley Kenneth J.ORCID, Duque Alvaro, Londoño Lemos VivianaORCID, Contreras Maria PaulaORCID, Idarraga AlvaroORCID, López Norberto, Husby Chad, Jestrow Brett, Cely Toro Iván Mauricio
Abstract
Abstract. Isoprene emissions are a key component in biosphere–atmosphere interactions, and the most significant global source is the Amazon
rainforest. However, intra- and interannual variations in biological and environmental factors that regulate isoprene emission from Amazonia are
not well understood and, thereby, are poorly represented in models. Here, with datasets covering several years of measurements at the Amazon Tall Tower
Observatory (ATTO) in central Amazonia, Brazil, we (1) quantified canopy profiles of isoprene mixing ratios across seasons of normal and anomalous
years and related them to the main drivers of isoprene emission – solar radiation, temperature, and leaf phenology; (2) evaluated the effect of
leaf age on the magnitude of the isoprene emission factor (Es) from different tree species and scaled up to canopy with intra- and
interannual leaf age distribution derived by a phenocam; and (3) adapted the leaf age algorithm from the Model of Emissions of Gases
and Aerosols from Nature (MEGAN) with observed changes in Es
across leaf ages. Our results showed that the variability in isoprene mixing ratios was higher between seasons (max during the dry-to-wet
transition seasons) than between years, with values from the extreme 2015 El Niño year not significantly higher than in normal years. In
addition, model runs considering in situ observations of canopy Es and the modification on the leaf age algorithm with leaf-level
observations of Es presented considerable improvements in the simulated isoprene flux. This shows that MEGAN estimates of isoprene
emission can be improved when biological processes are mechanistically incorporated into the model.
Funder
Bundesministerium für Bildung und Forschung National Science Foundation
Publisher
Copernicus GmbH
Subject
Atmospheric Science
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