Articles | Volume 23, issue 4
https://doi.org/10.5194/bg-23-1423-2026
https://doi.org/10.5194/bg-23-1423-2026
Research article
 | 
24 Feb 2026
Research article |  | 24 Feb 2026

Multi-stress interaction effects on BVOC emission fingerprints from Oak and Beech: A cross-investigation using Machine Learning and Positive Matrix Factorization

Biplob Dey, Toke Due Sjøgren, Peeyush Khare, Georgios I. Gkatzelis, Yizhen Wu, Sindhu Vasireddy, Martin Schultz, Alexander Knohl, Riikka Rinnan, Thorsten Hohaus, and Eva Y. Pfannerstill

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Cited articles

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Short summary
Trees release reactive gases that affect air quality and climate. We studied how these emissions from European beech and English oak change under realistic scenarios of combined and single heat and ozone stress. Heat increased emissions, while ozone reduced most of them. When stressors were combined, the effects were complex and varied by species. Machine learning identified key stress-related compounds. Our findings show that future tree stress may alter air quality and climate interactions.
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