High-latitude vegetation changes will determine future plant volatile impacts on atmospheric organic aerosols

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Strong, ongoing high-latitude warming is causing changes to vegetation composition and plant productivity, modifying plant emissions of biogenic volatile organic compounds (BVOCs). In the sparsely populated high latitudes with clean background air, climate feedback resulting from BVOCs as precursors of atmospheric aerosols could be more important than elsewhere on the globe. Here, we quantitatively assess changes in vegetation composition, BVOC emissions, and secondary organic aerosol (SOA) formation under different climate scenarios. We show that warming-induced vegetation changes largely determine the spatial patterns of future BVOC impacts on SOA. The northward advances of boreal needle-leaved woody species result in increased SOA optical depth by up to 41%, causing cooling feedback. However, areas with temperate broad-leaved trees replacing boreal needle-leaved trees likely experience a large decline in monoterpene emissions and SOA formation, causing warming feedback. We highlight the necessity of considering warming-induced vegetation shifts when assessing land radiative feedback on climate following the BVOC-SOA pathway.
OriginalsprogEngelsk
Artikelnummer147
Tidsskriftnpj Climate and Atmospheric Science
Vol/bind6
Udgave nummer1
Antal sider13
ISSN2397-3722
DOI
StatusUdgivet - 2023

Bibliografisk note

Funding Information:
J.T. is supported by Villum Young Investigator (Grant No. 53048), Swedish FORMAS (Forskningsråd för hållbar utveckling) mobility Grant (2016-01580) and European Union’s Horizon 2020 research and innovation programme under Marie Sklodowska-Curie (Grant 707187). R.R. would like to acknowledge the support by the European Research Council under the European Union’s Horizon 2020 research and innovation programme (TUVOLU, Grant No. 771012) and the Independent Research Fund Denmark (DFF-4181-00141, 1026-00127B). The Danish National Research Foundation supported activities within the Center for Volatile Interactions (VOLT, DNRF168) and the Center for Permafrost (CENPERM DNRF100). J.T. and Y.H.F. thank the Joint China-Sweden Mobility Programme (Grant No. CH2020-8656). P.Z. and R.M. would like to acknowledge the funding from EU H2020 project FORCeS (grant agreement No. 821205), the European Commission Horizon Europe project FOCI (grant agreement No. 101056783) and CRiceS (grant agreement No. 101003826), University of Helsinki Three Year Grant AGES, the ACCC Flagship funded by the Academy of Finland (337549) and CSC (IT Center for Science, Finland) for computational resources. P.Z. also acknowledges the Arctic Avenue (spearhead research project between the University of Helsinki and Stockholm University). J.T., P.A.M. and A.G. acknowledge the Lund University Strategic Research Areas BECC and MERGE for their financial support, and P.A.M. was partly funded by the project BioDiv-Support through the 2017–2018 Belmont Forum and BiodivERsA joint call for research proposals, under the BiodivScen ERA-Net COFUND programme, and with the funding organisations AKA (Academy of Finland contract no 326328), ANR (ANR-18-EBI4-0007), BMBF (KFZ: 01LC1810A), FORMAS (contract no:s 2018-02434, 2018-02436, 2018-02437, 2018-02438) and MICINN (through APCIN: PCI2018-093149). J.T. would like to thank Roger Seco for providing eddy covariance-based BVOC measurement data from Abisko and thank Cleo L. Davie-Martin for language proofing. All LPJ-GUESS simulations in this paper were performed using the Danish e-infrastructure Cooperation (DeiC) National Life Science Supercomputer at the Technical University of Denmark. All TM5 simulations in this paper were performed using the Atos Bullsequana X400 supercomputing platform Puhti provided by CSC (IT Center for Science) in Finland.

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