Isoprene and monoterpene emissions from a mixed temperate forest

Laffineur, Quentin; Aubinet, Marc; Schoon, Niels; Amelynck, Crist; Müller, Jean-François; Dewulf, Jo; Langenhove, Herman Van; Steppe, Kathy; Šimpraga, Maja; Heinesch, Bernard

doi:10.1016/j.atmosenv.2011.02.054

Cited by 44 publications

(34 citation statements)

References 79 publications

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“…The compounds were further diluted (2-12 ppbv range) using a dynamic dilution system. More details can be found in Laffineur et al (2011).…”

Section: Instrumentation and Bvoc Samplingmentioning

confidence: 99%

“…The filtering suppresses also data points outside the factory direction but in a small number of cases in comparison with the number of data point that succeed the test. This procedure was described in detail by Laffineur et al (2011).…”

Section: Data Filteringmentioning

confidence: 99%

“…For example, for a wind speed of 3 m s −1 (mean value of our dataset), we obtained a correction factor of 1.49. More details on the flux computation methodology are given by Laffineur et al (2011).…”

Section: Disjunct Eddy-covariancementioning

confidence: 99%

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Abiotic and biotic control of methanol exchanges in a temperate mixed forest

et al. 2012

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Abstract.Methanol exchanges over a mixed temperate forest in the Belgian Ardennes were measured for more than one vegetation season using disjunct eddy-covariance by a mass scanning technique and Proton Transfer Reaction Mass Spectrometry (PTR-MS). Half-hourly methanol fluxes were measured in the range of −0.6 µg m −2 s −1 to 0.6 µg m −2 s −1 , and net daily methanol fluxes were generally negative in summer and autumn and positive in spring. On average, the negative fluxes dominated (i.e. the site behaved as a net sink), in contrast to what had been found in previous studies.An original model describing the adsorption/desorption of methanol in water films present in the forest ecosystem and the methanol degradation process was developed. Its calibration, based on field measurements, predicted a mean methanol degradation rate of −0.0074 µg m −2 s −1 and a half lifetime for methanol in water films of 57.4 h. Biogenic emissions dominated the exchange only in spring, with a standard emission factor of 0.76 µg m −2 s −1 .The great ability of the model to reproduce the long-term evolution, as well as the diurnal variation of the fluxes, suggests that the adsorption/desorption and degradation processes play an important role in the global methanol budget. This result underlines the need to conduct long-term measurements in order to accurately capture these processes and to better estimate methanol fluxes at the ecosystem scale.

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“…The compounds were further diluted (2-12 ppbv range) using a dynamic dilution system. More details can be found in Laffineur et al (2011).…”

Section: Instrumentation and Bvoc Samplingmentioning

confidence: 99%

Section: Data Filteringmentioning

confidence: 99%

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Abiotic and biotic control of methanol exchanges in a temperate mixed forest

et al. 2012

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“…Ghirardo et al (2010) used stable isotope labelling on Norway spruce (Picea abies) and Scots pine and observed that the approximate contribution of de novo MT emissions could range between 25 and 45 % for spruce and 40 and 70 % for pine. Since it has been shown that light-dependent and light-independent emissions happen simultaneously, it has been suggested that the observed MT emission patterns should be regarded as a combination of light-dependent and light-independent emissions instead of only being light-independent for some species (Ghirardo et al, 2010;Taipale et al, 2011;Laffineur et al, 2011;Staudt and Lhoutellier, 2011;Song et al, 2014).…”

Section: Y Van Meeningen Et Al: Isoprenoid Emission Response To Chamentioning

confidence: 99%

Isoprenoid emission response to changing light conditions of English oak, European beech and Norway spruce

et al. 2017

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Abstract. Light is an important environmental factor controlling biogenic volatile organic compound (BVOC) emissions, but in natural conditions its impact is hard to separate from other influential factors such as temperature. We studied the light response of foliar BVOC emissions, photosynthesis and stomatal conductance on three common European tree species, namely English oak (Quercus robur), European beech (Fagus sylvatica) and two provenances of Norway spruce (Picea abies) in Taastrup, Denmark. Leaf scale measurements were performed on the lowest positioned branches of the tree in July 2015. Light intensity was increased in four steps (0, 500, 1000 and 1500 µmol m −2 s −1 ), whilst other chamber conditions such as temperature, humidity and CO 2 levels were fixed.Whereas the emission rate differed between individuals of the same species, the relative contributions of compounds to the total isoprenoid emission remained similar. Whilst some compounds were species specific, the compounds α-pinene, camphene, 3-carene, limonene and eucalyptol were emitted by all of the measured tree species. Some compounds, like isoprene and sabinene, showed an increasing emission response with increasing light intensity, whereas other compounds, like camphene, had no significant emission response to light for most of the measured trees. English oak and European beech showed high light-dependent emission fractions from isoprene and sabinene, but other emitted compounds were light independent. For the two provenances of Norway spruce, the compounds α-pinene, 3-carene and eucalyptol showed high light-dependent fractions for many of the measured trees. This study highlights differences between compound emissions in their response to a change in light and a possible light independence for certain compounds, which might be valid for a wider range of tree species. This information could be of importance when improving emission models and to further emphasize the discussion regarding light or temperature dependencies for individual compounds across species.

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“…Since PTR-MS determines only the mass of the product ions, it is impossible to distinguish between different VOCs within the same mass. The signal at 137 m/z is attributed to the total mixing ratio of MT compounds (Laffineur et al, 2011). The performance of DEHM with respect to the MT mixing ratios is evaluated according to the correlation coefficient and the fractional bias in Tables 1 and 2.…”

Section: Simulation Of Monoterpenes From Vegetationmentioning

confidence: 99%

Quantifying the contributions of natural emissions to ozone and total fine PM concentrations in the Northern Hemisphere

et al. 2014

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Abstract. Accurate estimates of emissions from natural sources are needed for reliable predictions of ozone and fine particulate matter (PM 2.5 ) using air quality models. In this study, the large-scale atmospheric chemistry transport model, DEHM (the Danish Eulerian Hemispheric Model) is further developed, evaluated and applied to study and quantify the contributions of natural emissions of VOCs, NO x , NH 3 , SO 2 , CH 4 , PM, CO and sea salt to the concentration of ozone and formation of PM 2.5 for the year 2006. Natural source categories adopted in the recent model are vegetation, lightning, soils, wild animals and oceans. In this study, the model has been further developed to include more Biogenic Volatile Organic Compounds (BVOCs) and to implement a scheme for secondary organic aerosols as well as an updated description of sea-salt emissions. Our simulations indicate that in the Northern Hemisphere the contribution from natural emissions to the average annual ozone mixing ratios over land is between 4-30 ppbV. Among the natural emissions, BVOCs are found to be the most significant contributors to ozone formation in 2006, enhancing the average ozone mixing ratio by about 11 % over the land areas of the Northern Hemisphere. The relative contribution of all the natural emissions to ozone is found to be highest in the northern part of South America by about 42 %. Similarly, the highest contribution of all the natural sources to total fine particles over land is found to be in South America by about 74 % and sea-salt aerosols demonstrated to play the most important role. However, over the rest of the regions in the model domain the largest contribution from the natural sources to PM 2.5 in the specific year 2006 is due to wildfires. The contribution from natural emissions to the mean PM 2.5 concentration over the land areas in the model domain is about 34 %.

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Isoprene and monoterpene emissions from a mixed temperate forest

Cited by 44 publications

References 79 publications

Abiotic and biotic control of methanol exchanges in a temperate mixed forest

Abiotic and biotic control of methanol exchanges in a temperate mixed forest

Isoprenoid emission response to changing light conditions of English oak, European beech and Norway spruce

Quantifying the contributions of natural emissions to ozone and total fine PM concentrations in the Northern Hemisphere

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