Biogenic volatile organic compound emissions from senescent maize leaves and a comparison with other leaf developmental stages

Mozaffar, Ahsan; Schoon, Niels; Bachy, Aurélie; Digrado, Anthony; Heinesch, Bernard; Aubinet, Marc; Fauconnier, Marie‐Laure; Delaplace, Pierre; Jardin, Patrick du; Amelynck, Crist

doi:10.1016/j.atmosenv.2017.12.020

Cited by 47 publications

(25 citation statements)

References 58 publications

(1 reference statement)

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“…This dynamic is in agreement with the literature. The dependence of methanol emission on light (Fall et al, 1999;Harley et al, 2007;Mozaffar et al, 2017;Park et al, 2014;Wohlfahrt et al, 2015) and temperature (Custer and Schade, 2007;Harley et al, 2007;Karl et al, 2005;Park et al, 2014) was reported by several studies, including crop and grass studies (Custer and Schade, 2007;Fall et al, 1999;Karl et al, 2005;Mozaffar et al, 2018). As in our study, the dependence on temperature was found to be exponential at the ecosystem-scale (Crespo et al, 2013;Karl et al, 2005;Park et al, 2014), whereas the dependence on light was linear (Fall et al, 1999;Park et al, 2014;Wohlfahrt et al, 2015).…”

Section: Emission Of Methanolsupporting

confidence: 82%

Dynamics and mechanisms of volatile organic compound exchanges in a winter wheat field

Bachy

Aubinet

Amelynck

et al. 2020

Atmospheric Environment

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Section: Emission Of Methanolsupporting

confidence: 82%

Dynamics and mechanisms of volatile organic compound exchanges in a winter wheat field

Bachy

Aubinet

Amelynck

et al. 2020

Atmospheric Environment

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“…MeOH and EtOH have already been used across different methodologies in liquid laser spectroscopic isotopic analyses to identify spectral interference, and ranges of errors in relation to distilled water . The presence of organic compounds in xylem will vary depending on plant species, development stage and phenological phase . Some organic compounds share similar laser absorption features with water and will result in spectral interference .…”

Section: Introductionmentioning

confidence: 99%

¹⁷O‐excess as a detector for co‐extracted organics in vapor analyses of plant isotope signatures

Nehemy

Millar

Janzen

et al. 2019

Rapid Comm Mass Spectrometry

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Rationale:The stable isotope compositions of hydrogen and oxygen in water (δ 2 H and δ 18 O values) have been widely used to investigate plant water sources, but traditional isotopic measurements of plant waters are expensive and labor intensive.Recent work with direct vapor equilibration (DVE) on laser spectroscopy has shown potential to side step limitations imposed by traditional methods. Here, we evaluate DVE analysis of plants with a focus on spectral contamination introduced by organic compounds. We present 17 O-excess as a way of quantifying organic compound interference in DVE. Methods: We performed isotopic analysis using the δ 2 H, δ 18 O and δ 17 O values of water on an Off-Axis Integrated Cavity Output Spectroscopy (IWA-45EP OA-ICOS) instrument in vapor mode. We used a set of methanol (MeOH) and ethanol (EtOH) solutions to assess errors in isotope measurements. We evaluated how organic compounds affect the 17 O-excess. DVE was used to measure the isotopic signatures in natural plant material from Pinus banksiana, Picea mariana, and Larix laricina, and soil from boreal forest for comparison with solutions. Results: The 17 O-excess was sensitive to the presence of organic compounds in water. 17 O-excess changed proportionally to the concentration of MeOH per volume of water, resulting in positive values, while EtOH solutions resulted in smaller changes in the 17 O-excess. Soil samples did not show any spectral contamination. Plant samples were spectrally contaminated on the narrow-band and were enriched in 1 H and 16 O compared with source water. L. laricina was the only species that did not show any evidence of spectral contamination. Xylem samples that were spectrally contaminated had positive 17 O-excess values. Conclusions: 17 O-excess can be a useful tool to identify spectral contamination and improve DVE plant and soil analysis in the laboratory and in situ. The 17 O-excess flagged the presence of MeOH and EtOH. Adding measurement of δ 17 O values to traditional measurement of δ 2 H and δ 18 O values may shed new light on plant water analysis for source mixing dynamics using DVE.

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“…In terms of temporal dynamics, our study shows an emission increase towards senescence (Figure 7), with a maximum emission coinciding with the end of the chlorosis period and the decline of photosynthesis (Figure 5). 500 An increase of methanol emissions during senescence was also observed at the canopy scale by Bachy et al (2020) on wheat and at the leaf scale by Mozaffar et al (2018) on maize, and Gonzaga et al (2020, submitted). These observations suggest that cereal crops are a major source of methanol at the end of culture cycle with net emission rates possibly exceeding those during the vegetative growth phase.…”

Section: Most Emitted Compounds and Comparison With Existing Literatumentioning

confidence: 88%

Volatile organic compound fluxes over a winter wheat field by PTR-Qi-TOF-MS and eddy covariance

Loubet

Buysse

Gonzaga-Gomez

et al. 2021

Preprint

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Abstract. Volatile organic compounds (VOC) contribute to air pollution through the formation of secondary aerosols and ozone and contribute to increasing the lifetime of methane in the atmosphere. Tropospheric VOC are 90 % originating from biogenic sources at the global scale. Forests are the main contributors to these emissions with isoprene and monoterpenes being the most emitted compounds. Crops are also a potentially large, yet poorly characterised, source of VOC. In particular, measurements of VOC fluxes for wheat at the ecosystem scale are scarce, although this is the most cultivated crop in Europe. Available evidence indicates that crops may contribute to 30% of the VOC emissions in Europe, especially oxygenated, low-molecular-weight VOC such as methanol, acetone and acetaldehyde. In this study, which is part of the COV3ER French national project, we investigated VOC fluxes over a wheat field in-situ by eddy covariance using a PTR-Qi-TOF-MS with an outmost sensitivity and mass resolution. We found 264 compounds to have a flux three times above the flux detection limit. Methanol was the most emitted compound, with an averaged flux of 63 µg m−2 h−1, representing around 60 % of summed VOC emissions on a molar basis (40 % on a mass basis). This finding is in line with previous measurements at canopy and plant scales. We also measured acetone, acetaldehyde and dimethyl sulphide among the five most emitted compounds. The second most emitted VOC corresponded to the ion m/z 93.037, tentatively identified as C6H4O. This compound was not reported previously as one of the most emitted compound by terrestrial ecosystems. Summed VOC emissions amounted around 150 µg m−2 h−1. Summed VOC deposition amounted to around −125 µg m−2 h−1, which represented about 70 % of the VOC emissions on a mass basis. The most depositing VOC were tentatively identified as hydroxyacetone and fragments of oxidised VOC with a flux of −16 µg m−2 h−1. Overall, our results reveal that wheat fields represent a non-negligible source and sink of VOC to be considered in regional VOC budgets, and underline the usefulness and limitations of eddy covariance measurements with PTR-Qi-TOF-MS.

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Biogenic volatile organic compound emissions from senescent maize leaves and a comparison with other leaf developmental stages

Cited by 47 publications

References 58 publications

Dynamics and mechanisms of volatile organic compound exchanges in a winter wheat field

Dynamics and mechanisms of volatile organic compound exchanges in a winter wheat field

¹⁷O‐excess as a detector for co‐extracted organics in vapor analyses of plant isotope signatures

Volatile organic compound fluxes over a winter wheat field by PTR-Qi-TOF-MS and eddy covariance

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Biogenic volatile organic compound emissions from senescent maize leaves and a comparison with other leaf developmental stages

Cited by 47 publications

References 58 publications

Dynamics and mechanisms of volatile organic compound exchanges in a winter wheat field

Dynamics and mechanisms of volatile organic compound exchanges in a winter wheat field

17O‐excess as a detector for co‐extracted organics in vapor analyses of plant isotope signatures

Volatile organic compound fluxes over a winter wheat field by PTR-Qi-TOF-MS and eddy covariance

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¹⁷O‐excess as a detector for co‐extracted organics in vapor analyses of plant isotope signatures