High temperature sensitivity of monoterpene emissions from global vegetation
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.
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Nature Publishing Group
2024-12-01
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Subjects: | Monoterpene emissions, Atmospheric chemistry, Ensure healthy lives and promote well-being for all at all ages, Ensure availability and sustainable management of water and sanitation for all, |
Online Access: | http://hdl.handle.net/10261/342372 http://dx.doi.org/10.13039/501100000780 https://api.elsevier.com/content/abstract/scopus_id/85181715389 |
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dig-idaea-es-10261-3423722024-10-26T20:57:08Z High temperature sensitivity of monoterpene emissions from global vegetation Bourtsoukidis, Efstratios Pozzer, Andrea Williams, Jonathan Makowski, David Peñuelas, Josep Matthaios, Vasileios N. Lazoglou, Georgia Yañez-Serrano, Ana Maria Lelieveld, Jos Ciais, Philippe Vrekoussis, Mihalis Daskalakis, Nikos Sciare, Jean European Commission 0000-0001-5578-9414 0000-0003-2440-6104 0000-0001-9421-1703 0000-0001-6385-3703 0000-0002-7215-0150 0000-0001-6307-3846 0000-0001-8292-8352 0000-0002-2409-0392 Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72] Monoterpene emissions Atmospheric chemistry Ensure healthy lives and promote well-being for all at all ages Ensure availability and sustainable management of water and sanitation for all 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. We acknowledge the EMME-CARE project from the European Union’s Horizon 2020 Research and Innovation Programme (grant agreement No. 856612), as well as matching co-funding by the Government of the Republic of Cyprus. We acknowledge the use of the HPC cluster Aether at the University of Bremen, financed by DFG within the scope of the Excellence Initiative. We acknowledge the support of BmBf project ATTO (01LK1602B). Peer reviewed 2024-01-15T08:51:44Z 2024-01-15T08:51:44Z 2024-12-01 artículo http://purl.org/coar/resource_type/c_6501 Communications Earth & Environment 5: 23 (2024) http://hdl.handle.net/10261/342372 10.1038/s43247-023-01175-9 http://dx.doi.org/10.13039/501100000780 2-s2.0-85181715389 https://api.elsevier.com/content/abstract/scopus_id/85181715389 en #PLACEHOLDER_PARENT_METADATA_VALUE# info:eu-repo/grantAgreement/EC/H2020/856612 Communications Earth and Environment Publisher's version https://doi.org/10.1038/s43247-023-01175-9 Sí open Nature Publishing Group |
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Monoterpene emissions Atmospheric chemistry Ensure healthy lives and promote well-being for all at all ages Ensure availability and sustainable management of water and sanitation for all Monoterpene emissions Atmospheric chemistry Ensure healthy lives and promote well-being for all at all ages Ensure availability and sustainable management of water and sanitation for all |
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Monoterpene emissions Atmospheric chemistry Ensure healthy lives and promote well-being for all at all ages Ensure availability and sustainable management of water and sanitation for all Monoterpene emissions Atmospheric chemistry Ensure healthy lives and promote well-being for all at all ages Ensure availability and sustainable management of water and sanitation for all Bourtsoukidis, Efstratios Pozzer, Andrea Williams, Jonathan Makowski, David Peñuelas, Josep Matthaios, Vasileios N. Lazoglou, Georgia Yañez-Serrano, Ana Maria Lelieveld, Jos Ciais, Philippe Vrekoussis, Mihalis Daskalakis, Nikos Sciare, Jean High temperature sensitivity of monoterpene emissions from global vegetation |
description |
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. |
author2 |
European Commission |
author_facet |
European Commission Bourtsoukidis, Efstratios Pozzer, Andrea Williams, Jonathan Makowski, David Peñuelas, Josep Matthaios, Vasileios N. Lazoglou, Georgia Yañez-Serrano, Ana Maria Lelieveld, Jos Ciais, Philippe Vrekoussis, Mihalis Daskalakis, Nikos Sciare, Jean |
format |
artículo |
topic_facet |
Monoterpene emissions Atmospheric chemistry Ensure healthy lives and promote well-being for all at all ages Ensure availability and sustainable management of water and sanitation for all |
author |
Bourtsoukidis, Efstratios Pozzer, Andrea Williams, Jonathan Makowski, David Peñuelas, Josep Matthaios, Vasileios N. Lazoglou, Georgia Yañez-Serrano, Ana Maria Lelieveld, Jos Ciais, Philippe Vrekoussis, Mihalis Daskalakis, Nikos Sciare, Jean |
author_sort |
Bourtsoukidis, Efstratios |
title |
High temperature sensitivity of monoterpene emissions from global vegetation |
title_short |
High temperature sensitivity of monoterpene emissions from global vegetation |
title_full |
High temperature sensitivity of monoterpene emissions from global vegetation |
title_fullStr |
High temperature sensitivity of monoterpene emissions from global vegetation |
title_full_unstemmed |
High temperature sensitivity of monoterpene emissions from global vegetation |
title_sort |
high temperature sensitivity of monoterpene emissions from global vegetation |
publisher |
Nature Publishing Group |
publishDate |
2024-12-01 |
url |
http://hdl.handle.net/10261/342372 http://dx.doi.org/10.13039/501100000780 https://api.elsevier.com/content/abstract/scopus_id/85181715389 |
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