Seasonal and Elevational Variability in Dwarf Birch VOC Emissions in Greenlandic Tundra

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Rising temperatures amplify biogenic volatile organic compound (VOC) emissions from Arctic vegetation, causing feedbacks to the climate system. Changes in climate also alter plant physiology and vegetation composition, all of which can influence VOC emissions. Moreover, leaf development and biotic stresses cause highly variable emissions during the growing season. Therefore, linking VOC emissions with plant traits and tracking responses to climate change might provide better understanding of VOC emission regulation under future conditions. We measured VOC emissions and other plant traits in dwarf birch (Betula glandulosa) at two elevations in Narsarsuaq, South Greenland. The measurements were performed in warming experiments that have run since 2016. We collected VOCs using the branch enclosure method from early June until late July 2019 (n = 200). Emissions of green leaf volatiles (GLVs), oxygenated monoterpenes (oMTs), and homoterpenes followed a seasonal trend. VOC emission rates and the diversity of the VOC blend decreased at the end of the measurement period. Differences in VOC emission rates between elevations were pronounced early in the season. Majority of the traits did not explain the variation in VOC emissions. We show strong seasonal variability in VOC emissions within the growing season, which is likely driven by leaf phenology. While the diversity of VOCs was greater at the milder low-elevation site, VOC emission rates were higher or similar at the harsher high-elevation site, showing stronger VOC emission potentials than previously assumed. Seasonal variations in the emissions of VOCs are crucial for accurate predictions of current and future VOC emissions from arctic ecosystems.
OriginalsprogEngelsk
Artikelnummere2023JG007475
TidsskriftJournal of Geophysical Research: Biogeosciences
Vol/bind128
Udgave nummer11
Antal sider17
ISSN2169-8953
DOI
StatusUdgivet - 2023

Bibliografisk note

Funding Information:
The project was supported by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (Grant 771012), the Danish National Research Foundation (Center for Permafrost, CENPERM DNRF100; Center for Volatile Interactions, DNRF168), and the Elite Research Prize of the Ministry for Higher Education and Science to Riikka Rinnan (Grant 9095‐00004B). Tao Li received funding from the Starting Research Fund of Sichuan University, the Fundamental Research Funds for the Central Universities (Grant agreement SCU2021D006), and the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska‐Curie actions (Grant 751684). Toke Thomas Høye acknowledges funding from the Independent Research Fund Denmark (Grant 8021‐00423B). We thank Helle Sørensen from the Data Science Lab at the University of Copenhagen for advice on statistical analyses.

Funding Information:
The project was supported by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (Grant 771012), the Danish National Research Foundation (Center for Permafrost, CENPERM DNRF100; Center for Volatile Interactions, DNRF168), and the Elite Research Prize of the Ministry for Higher Education and Science to Riikka Rinnan (Grant 9095-00004B). Tao Li received funding from the Starting Research Fund of Sichuan University, the Fundamental Research Funds for the Central Universities (Grant agreement SCU2021D006), and the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie actions (Grant 751684). Toke Thomas Høye acknowledges funding from the Independent Research Fund Denmark (Grant 8021-00423B). We thank Helle Sørensen from the Data Science Lab at the University of Copenhagen for advice on statistical analyses.

Publisher Copyright:
© 2023. The Authors.

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