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Terpene Composition Complexity Controls Secondary Organic Aerosol Yields from Scots Pine Volatile Emissions
C L Faiola1,2, A Buchholz3, E Kari3
1Department of Applied Physics, University of Eastern Finland, P.O. Box 1626, 70211, Kuopio, Finland. cfaiola@uci.edu.
Scientific Reports
|February 16, 2018
Summary
Secondary organic aerosol (SOA) formation is underestimated by current models. Accounting for complex terpene emissions from Scots pine, especially under stress, reveals a significant increase in aerosol mass loading.
Area of Science:
- Atmospheric Chemistry
- Climate Science
- Environmental Science
Background:
- Secondary organic aerosol (SOA) significantly impacts climate through radiative effects and cloud formation.
- Current SOA models often oversimplify atmospheric chemistry, using limited volatile organic compounds.
- Real-world atmospheric complexity, particularly plant emissions, is crucial for accurate SOA modeling.
Purpose of the Study:
- Investigate SOA formation from complex Scots pine (Pinus sylvestris) emissions.
- Analyze how herbivore stress alters plant volatile emissions and subsequent SOA production.
- Quantify the impact of terpene complexity on SOA mass yields compared to simplified models.
Main Methods:
- Characterized SOA generation from real Scots pine emissions under varying conditions.
- Utilized an herbivore stress treatment to modify plant volatile organic compound profiles.
- Employed a box model approach to estimate aerosol enhancement factors.
Main Results:
- Herbivore stress increased monoterpene and sesquiterpene emissions but decreased SOA mass yields.
- Sesquiterpenes controlled SOA mass yields in healthy plants; specific monoterpenes dominated in stressed plants.
- Accounting for terpene complexity led to a 1.5- to 2.3-fold aerosol enhancement compared to using α-pinene alone.
Conclusions:
- Simplifying terpene complexity in SOA models can lead to underpredictions of aerosol mass.
- Real plant emissions and their response to stress are critical for accurate climate impact assessments.
- Future SOA models must incorporate greater chemical detail to reflect atmospheric reality.
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