High temperature sensitivity of monoterpene emissions from global vegetation
Bourtsoukidis, Efstratios (The Cyprus Institute. Climate and Atmosphere Research Center)
Pozzer, Andrea (The Cyprus Institute. Climate and Atmosphere Research Center)
Williams, Jonathan (The Cyprus Institute. Climate and Atmosphere Research Center)
Makowski, David (University Paris-Saclay)
Peñuelas, Josep (Centre de Recerca Ecològica i d'Aplicacions Forestals)
Matthaios, Vasileios, N. (University of Liverpool. Department of Public Health Policy and Systems)
Georgia Lazoglou (The Cyprus Institute. Climate and Atmosphere Research Center)
Yañez-Serrano, Ana Maria (Institut de Diagnosi Ambiental i Estudis de l'Aigua)
Lelieveld, Johannes (The Cyprus Institute. Climate and Atmosphere Research Center)
Ciais, Philippe (The Cyprus Institute. Climate and Atmosphere Research Center)
Vrekoussis, Mihalis (The Cyprus Institute. Climate and Atmosphere Research Center)
Daskalakis, Nikos (University of Bremen. Institute of Environmental Physics)
Sciare, Jean (The Cyprus Institute. Climate and Atmosphere Research Center)
Date: |
2024 |
Abstract: |
Terrestrial vegetation emits vast amounts of monoterpenes into the atmosphere, influencing ecological interactions and atmospheric chemistry. Global emissions are simulated as a function of temperature with a fixed exponential relationship (β coefficient) across forest ecosystems and environmental conditions. We applied meta-analysis algorithms on 40 years of published monoterpene emission data and show that relationship between emissions and temperature is more sensitive and intricate than previously thought. Considering the entire dataset, a higher temperature sensitivity (β = 0. 13 ± 0. 01 °C−1 ) is derived but with a linear increase with the reported coefficients of determination (R2), indicating that co-occurring environmental factors modify the temperature sensitivity of the emissions that is primarily related to the specific plant functional type (PFT). Implementing a PFT-dependent β in a biogenic emission model, coupled with a chemistry - climate model, demonstrated that atmospheric processes are exceptionally dependent on monoterpene emissions which are subject to amplified variations under rising temperatures. |
Grants: |
European Commission 856612
|
Rights: |
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Language: |
Anglès |
Document: |
Article ; recerca ; Versió publicada |
Published in: |
Communications earth & environment, Vol. 5 (January 2024) , art. 23, ISSN 2662-4435 |
DOI: 10.1038/s43247-023-01175-9
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Record created 2024-01-15, last modified 2024-04-30