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42 results for “isoprene”
Dataset: Strong isoprene emission response to temperature in tundra vegetation
<p>Dataset used in the article "<em>Strong isoprene emission response to temperature in tundra vegetation</em>" published in the journal <em><strong>Proceedings of the National Academy of Sciences of the USA </strong></em><strong>119: e2118014119</strong> <a href="https://doi.org/10.1073/pnas.2118014119">https://doi.org/10.1073/pnas.2118014119</a></p> <p>The tab-delimited file contains direct surface-atmosphere isoprene fluxes, measured every 30-minutes by Eddy Covariance with a Proton Transfer Reaction -Time of Flight- Mass Spectrometer (PTR-ToF-MS) during the whole growing season at two different tundra sites in Scandinavia (near Abisko, Sweden in 2018, and near Finse, Norway during 2019). It also contains the MEGANv2.1 biogenic model predicted isoprene emissions for the same periods and sites. In addition, air temperature, vegetation surface temperature, and photosynthetic photon flux density (PPFD) measured at the sites are also reported, together with their past 24h and 240h averages (needed to run the MEGAN simulation accounting for the recent past environmental conditions).</p>
Isoprene mixing ratio in ambient air across the Southern Ocean in the austral summer of 2016/2017, during the Antarctic Circumnavigation Expedition (ACE).
<p><strong>Dataset abstract</strong></p> <p>This dataset contains the mixing ratios of isoprene (C5H8) in ambient air measured during the Antarctic Circumnavigation Expedition around the Southern Ocean in the austral summer of 2016/2017 using the iDirac, an autonomous gas chromatograph (Bolas et al., 2020). Samples were collected at a temporal resolution of approximately 10 minutes, with sizeable gaps in the dataset during Legs 1 and 3 due to instrument malfunction.</p> <p>Isoprene represents one of the largest biogenic emissions on the planet. While the magnitude and mechanism of its emissions on land are well established, there is still large uncertainty on the drivers of marine isoprene emissions. This dataset, consisting of continuous measurements at a relatively high temporal resolution, represents a unique opportunity to better understand marine isoprene emissions in the Southern Ocean.</p> <p><strong>Dataset contents</strong></p> <ul> <li>ace_isoprene_mixing_ratio_ambient_air_v1.1.csv, data file, comma-separated values</li> <li>data_file_header.txt, metadata, text</li> <li>README.txt, metadata, text</li> <li>change_log.txt, metadata, text</li> </ul> <p><strong>Change log</strong></p> <p>v1.1 - data files updated</p> <ul> <li>more accurate isoprene quantification from improved chromatogram baseline removal</li> </ul> <p>v1.0 - initial release of dataset</p>
Seawater isoprene loss and production rates across contrasting oceanic regions
<p><strong>Measured biological variables and isoprene process rate constants across contrasting regions of the global ocean. </strong>SST: sea surface temperature;<strong> </strong>SSS: sea surface salinity; Z<sub>ML</sub>: mixed layer depth; U<sub>10</sub> 24h: wind speed at 10 m above sea surface, averaged over 24 hours; chl<em>a</em>: chlorophyll-<em>a</em> concentration; BA: bacterial abundance; k<sub>loss</sub>: rate constant of isoprene loss in incubations (microbial degradation + chemical oxidation); k<sub>vent</sub>: rate constant of isoprene ventilation to the atmosphere; k<sub>mix</sub>: rate constant of isoprene vertical mixing by turbulent diffusion at the bottom of the mixed layer (negative means import into the surface mixed layer); total τ: turnover time due to all sinks; k<sub>prod</sub>: rate constant of isoprene production, assuming 24-h steady state for the isoprene concentration; sp. prod. rate: chl<em>a</em>-normalized daily rate of isoprene production.</p> <p><strong>Results of the coastal seawater dark incubations for isoprene loss kinetics. </strong>SST: lab-incubation temperature (within ±0.5ºC of the in-situ temperature); chl<em>a</em>: chlorophyll-<em>a</em> concentration; isoprene concentration; std err: standard error of duplicate isoprene concentration measurements. The experiments were conducted with water from the Blanes Bay Microbial Observatory (coastal NW Mediterranean) and the coral reef lagoon of Moorea (French Polynesia).</p> <p><strong>Results of the coastal seawater dark incubations for isoprene oxidation assays. </strong>SST: in-situ and incubation temperature; chl<em>a</em>] chlorophyll-<em>a</em> concentration; isoprene concentration. </p>
Dataset: High emission rates and strong temperature response make boreal wetlands a large source of isoprene and terpenes
<p>Dataset used in the article "High emission rates and strong temperature response make boreal wetlands a large source of isoprene and terpenes"</p> <p>The tab-delimited file contains direct surface-atmosphere Volatile Organic Compound fluxes, measured by Eddy Covariance with a Vocus- proton transfer reaction mass spectrometer (Vocus-PTR) at a subarctic fen during 2021. It also contains PAR (Photosynthetic Active Radiation), temperature and flux quality criteria.</p>
Dataset Rodríguez-Ros et al. 2020 / Isoprene in the Southern Ocean - ISOREMS model
<p>Dataset of isoprene measurements in the Southern Ocean for the manuscript submitted to the Journal <em>Atmosphere</em>. </p> <p>Rodríguez-Ros et al. 2020 (Submitted):</p> <p><em>Distribution and drivers of marine isoprene concentration across the Southern Ocean</em></p> <p><em>%%%%%%<br> Variables' names contained in "isorems_data.csv"<br> %%%%%%</em></p> <p><em>"id" = source of the data ("peg" = PEGASO cruise, "ace" = ACE Expedition, "pml" = ANDREXII, "ooki" = Ooki et al. 2015, "hack" = Hackemberg et al. 2017)</em></p> <p><em>"solar_time" = solar time estimated with solaR package on R.</em></p> <p><em>"iso_pm" = Isoprene concentration (pM)</em></p> <p><em>"chla_fluo" = Chlorophyll-a (fluorometric)</em></p> <p><em>"chla_matchup" = Chlorophyll-a (MODIS Aqua)</em></p> <p><em>"sst_matchup" = Sea Surface Temperature (MODIS Aqua)</em></p> <p><em>"zeu_matchup" = Depth of the Euphotic Layer (MODIS Aqua)</em></p> <p><em>"poc_matchup" = Particulate Organic Carbon (MODIS Aqua)</em></p> <p><em>"pic_matchup" = Particulate Inorganic Carbon (MODIS Aqua)</em></p> <p><em>"mld_matchup" = Mixing Layer Depth (Holte et al. 2017)</em></p> <p><em>"par_matchup" = PAR radiation (MODIS Aqua)</em></p> <p><em>"lat" = Latitude (decimal degrees)</em></p> <p><em>"lon" = Longitude (decimal degrees)</em></p>
Isoprene in the Southern Ocean & remote sensed variables
<pre>%%%%%% Variables' names contained in "rodriguezrosetal_2020_isorems_data.csv" %%%%%% "id" = source of the data ("peg" = PEGASO cruise, "ace" = ACE Expedition, "pml" = ANDREXII, "ooki" = Ooki et al. 2015, "hack" = Hackemberg et al. 2017) "solar_time" = solar time estimated with solaR package on R. "month" = month of the year. "iso_pm" = Isoprene concentration (pM) "chla_fluo" = Chlorophyll-a (fluorometric) "chla_matchup" = Chlorophyll-a (MODIS Aqua) "sst_matchup" = Sea Surface Temperature (MODIS Aqua) "zeu_matchup" = Depth of the Euphotic Layer (MODIS Aqua) "poc_matchup" = Particulate Organic Carbon (MODIS Aqua) "pic_matchup" = Particulate Inorganic Carbon (MODIS Aqua) "mld_matchup" = Mixing Layer Depth (Holte et al. 2017) "par_matchup" = PAR radiation (MODIS Aqua) "lat" = Latitude (decimal degrees) "lon" = Longitude (decimal degrees)</pre>
Data and scripts for the article entitled "Arctic heatwaves could significantly influence the isoprene emissions from shrubs"
<p>The package includes the data and scripts for generating the figures for the paper entitled "Arctic heatwaves could significantly influence the isoprene emissions from shrubs".</p>
Data used in the GRL paper (2023GL103545) entitled "Synergetic Effects of Isoprene and HOx on Biogenic New Particle Formation"
<p>We are depositing data used in our manuscript entitled "Synergetic Effects of Isoprene and HOx on Biogenic New Particle Formation" submitted to Geophysical Research Letters for publication, as required by the AGU publication policy.</p> <p>Main Figure 1 was prepared using July 2022 particle data from the SMPS and PSM instruments, available in SMPS_PSM.zip</p> <p>Main Figure 2 was prepared using July 2022 mass spectrometer data from the CI-APi-TOF, available in APiTOF.zip</p> <p>Main Figure 3 was prepared using July 2022 mass spectrometer data from the CI-APi-TOF, available in APiTOF.zip</p> <p>Main Figure 4 was prepared using July 2022 mass spectrometer data from the CI-APi-TOF, available in APiTOF.zip, as well as modelling data available in ModelData.zip</p> <p>Supporting Figure S2 was prepared using June 2022 particle data from the SMPS and PSM instruments, available in SMPS_PSM.zip</p> <p>Supporting Figure S3 was prepared using July 2022 particle data from the SMPS and PSM instruments, available in SMPS_PSM.zip</p> <p>Supporting Figure S4 was prepared using modelling data available in ModelData.zip</p> <p>Supporting Figure S5 was prepared using July 2022 mass spectrometer data from the CI-APi-TOF, available in APiTOF.zip</p> <p>Supporting Figure S6 was prepared using July 2022 mass spectrometer data from the CI-APi-TOF, available in APiTOF.zip</p> <p>Supporting Figure S7 was prepared using GC Calbiration data from the GC-FID, available in the "Figure S7" folder in Figures.zip</p> <p>Supporting Figure S8 was prepared using NH3 CIMS data available in NH3CIMS.zip</p> <p>Supporting Figure S9 was prepared using December 2022 mass spectrometer data from the CI-APi-TOF, available in APiTOF.zip</p> <p>Each archive contains a readme file describing the individual data sets in additional detail.</p>
Isoprene in the Southern Ocean and remote sensed variables
<p>%%%%%%<br> Variables' names contained in "rodriguezrosetal_2020_isorems_data.csv"<br> %%%%%%</p> <p>"id" = source of the data ("peg" = PEGASO cruise, "ace" = ACE Expedition, "pml" = ANDREXII, "ooki" = Ooki et al. 2015, "hack" = Hackemberg et al. 2017)</p> <p>"solar_time" = solar time estimated with solaR package on R. </p> <p>"month" = month of the year. </p> <p>"iso_pm" = Isoprene concentration (pM)</p> <p>"chla_fluo" = Chlorophyll-a (fluorometric)</p> <p>"chla_matchup" = Chlorophyll-a (MODIS Aqua)</p> <p>"sst_matchup" = Sea Surface Temperature (MODIS Aqua)</p> <p>"zeu_matchup" = Depth of the Euphotic Layer (MODIS Aqua)</p> <p>"poc_matchup" = Particulate Organic Carbon (MODIS Aqua)</p> <p>"pic_matchup" = Particulate Inorganic Carbon (MODIS Aqua)</p> <p>"mld_matchup" = Mixing Layer Depth (Holte et al. 2017)</p> <p>"par_matchup" = PAR radiation (MODIS Aqua)</p> <p>"lat" = Latitude (decimal degrees)</p> <p>"lon" = Longitude (decimal degrees)</p>
Datasets of studying Isoprene oxidation in urban and suburban areas
<p>Observational dataset including functionalized isoprene oxidation products, VOCs, trace gases, MET and organic aerosol composition measured at SORPES, Nanjing (118.9E,32.1N) and ECUST, Shanghai (121.5E,30.9N) during summer of 2018. The measurement period is July 13th- August 9th and June 21th-June 26th, respectively. The isoprene functionalized oxidation products were measured by NO3- CI-API-TOF, VOCs were measured by PTR-TOF-MS and ogrganic aerosol composition was measured by TOF-ACSM.</p>
UKESM1 data supporting manuscript "Marine isoprene emissions in the Southern Ocean are significantly larger than expected"
<p>Model output and README from simulations performed for study "Marine isoprene emissions in the Southern Ocean are significantly larger than expected" (Ferracci and Weber et al) </p>
Bottom up Isoprene emissions (open loop)
<p>BVOC gas emissions from vegetation represent a hugely important contributor to the total emission of volatile organic compounds at the global scale. BVOCs in turn play a key role in tropospheric chemistry and impact both the formation of ozone photochemical smog and secondary organic aerosols, which both impact air quality. MEGAN is an open-sourced software package that has been adapted by researchers at NILU to operate with SURFEX model outputs and meteorological data from ECMWF. The MEGAN software calculates emissions of a wide range of BVOCs emitted by plants and aggregates these chemical components into representative chemical species defined in an external chemical mechanism. In our case, this done specifically is for the BVOCs defined (see Table 2 for full list) in the Regional Atmospheric Chemistry Mechanism (Stockwell et al., 1997) that is used in the MOCAGE (Guth et al., 2016) chemical transport model. MOCAGE is being used as the test model the SEEDS project since it is one of the CAMS regional atmospheric chemistry models.</p> <p><a href="https://www.seedsproject.eu/data/isop-ol">https://www.seedsproject.eu/data/isop-ol</a></p>
Bottom up Isoprene emissions (assimilated data)
<p>BVOC gas emissions from vegetation represent a hugely important contributor to the total emission of volatile organic compounds at the global scale. BVOCs in turn play a key role in tropospheric chemistry and impact both the formation of ozone photochemical smog and secondary organic aerosols, which both impact air quality. MEGAN is an open-sourced software package that has been adapted by researchers at NILU to operate with SURFEX model outputs and meteorological data from ECMWF. The MEGAN software calculates emissions of a wide range of BVOCs emitted by plants and aggregates these chemical components into representative chemical species defined in an external chemical mechanism. In our case, this done specifically is for the BVOCs defined (see Table 2 for full list) in the Regional Atmospheric Chemistry Mechanism (Stockwell et al., 1997) that is used in the MOCAGE (Guth et al., 2016) chemical transport model. MOCAGE is being used as the test model the SEEDS project since it is one of the CAMS regional atmospheric chemistry models.</p> <p><a href="https://www.seedsproject.eu/data/isop-assim">https://www.seedsproject.eu/data/isop-assim</a></p>
Elevated O3 inhibited isoprene emission of a diploid and a triploid genotype of Populus tomentosa by different mechanisms
<p>Ozone (O<sub>3</sub>) pollution affects plant growth and isoprene (ISO) emission. However, the response mechanism of isoprene emission rate (ISO<sub>rate</sub>) to elevated O<sub>3</sub> (EO<sub>3</sub>) remains poorly understood. ISO<sub>rate</sub> was investigated in two genotypes (diploid and triploid) of Chinese white poplar (<em>Populus tomentosa</em> Carr.) exposed to EO<sub>3</sub> in an open top chamber (OTC) system. The triploid genotype had higher photosynthesis rate (A) and stomatal conductance (g<sub>s</sub>) than the diploid one. EO<sub>3</sub> significantly decreased A, g<sub>s</sub>, and ISO<sub>rate</sub> of middle and lower leaf positions in both genotypes. In the diploid genotype, the reduction of ISO<sub>rate</sub> was caused by a systematic decrease related to ISO synthesis capacity, as indicated by decreased contents of isoprene precursor dimethylallyl diphosphate (DMADP) and isoprene synthase (ISPS) protein and activity of ISPS. On the other hand, the negative effect of O<sub>3</sub> on ISO<sub>rate</sub> of the triploid genotype did not result from inhibited ISO synthesis capacity, but from increased ISO oxidative loss within the leaf. Our findings will be useful for breeding poplar genotypes with high-yield and lower ISO<sub>rate</sub>, depending on local atmospheric VOC/NO<sub>x</sub> ratio, to cope with both the rising O<sub>3</sub> concentrations and increasing biomass demand. They can also enlighten the incorporation of O<sub>3</sub> effects into process-based models of isoprene emission.</p>
Data and scripts for the article entitled "High temperature sensitivity of Arctic isoprene emissions explained by sedges"
<p>The package includes the data and scripts for generating the figures for the paper entitled "High temperature sensitivity of Arctic isoprene emissions explained by sedges".</p>
Supplementary data for the manuscript "Thermodynamic properties of isoprene and monoterpene derived organosulfates estimated with COSMOtherm"
<p>.cosmo and .energy files of various isoprene and monoterpene derived organosulfates and methyl bisulfate (neutral and deprotonated), IEPOX (neutral) and hydrated sodium (cation).</p>
New particle formation from isoprene under upper-tropospheric conditions: data sources
<p>Data resources for manuscript: "<strong>New particle formation from isoprene under upper-tropospheric conditions</strong>"</p>
Model data and code supporting "Updated Isoprene and Terpene Emission Factors for the Interactive BVOC Emission Scheme (iBVOC) in the United Kingdom Earth System Model (UKESM1.0) "
<p>Model data and analysis code supporting the Geoscientific Model Development manuscript "Updated Isoprene and Terpene Emission Factors for the Interactive BVOC Emission Scheme (iBVOC) in the United Kingdom Earth System Model (UKESM1.0) "</p> <p> </p> <p> </p>
Isoprene concentrations data used in the paper "Assessment of isoprene and near surface ozone sensitivities to water stress over the Euro-Mediterranean region"
<p>Isoprene concentrations collected by E. Bourtsoukidis and J. Williams during a field-campaign that took place in Cyprus (site field: Ineia; Latitude: 34.96° N, Longitude: 32.39° E) during the summer 2014 (from July 7 to August 3; data collected every 45 minutes) using the technique of gas chromatography - mass spectrometry (GC-MS) (Derstroff et al., 2017). These data have been used to validate isoprene concentrations simulated by the regional climate model RegCM applied in the study "<em>Assessment of isoprene and near surface ozone sensitivities to water stress over the Euro-Mediterranean region</em>" (https://doi.org/10.5194/egusphere-2022-1522).</p>
Data from: Hydroxymethylbutenyl diphosphate accumulation reveals MEP pathway regulation for high CO2-induced suppression of isoprene emission
<p>Isoprene is emitted by some plants and is the most abundant biogenic hydrocarbon entering the atmosphere. Multiple studies have elucidated protective roles of isoprene against several environmental stresses, including high temperature, excessive ozone, and herbivory attack. However, isoprene emission adversely affects atmospheric chemistry by contributing to ozone production and aerosol formation. Thus, understanding the regulation of isoprene emission in response to varying environmental conditions, for example elevated CO<sub>2</sub>, is critical to comprehend how plants will respond to climate change. Isoprene emission decreases with increasing CO<sub>2</sub> concentration; however, the underlying mechanism of this response is currently unknown. We demonstrated that high-CO<sub>2</sub>-mediated suppression of isoprene emission is independent of photosynthesis and light intensity, but it is reduced with increasing temperature. Furthermore, we measured methylerythritol 4-phosphate pathway metabolites in poplar leaves harvested at ambient and high CO<sub>2</sub> to identify why isoprene emission is reduced under high CO<sub>2</sub>. We found that hydroxymethylbutenyl diphosphate (HMBDP) was increased and dimethylallyl diphosphate (DMADP) decreased at high CO<sub>2</sub>. This implies that high CO<sub>2</sub> impeded the conversion of HMBDP to DMADP, possibly through the inhibition of HMBDP reductase activity, resulting in reduced isoprene emission. We further demonstrated that although this phenomenon appears similar to ABA-dependent stomatal regulation, it is unrelated as abscisic acid treatment did not alter the effect of elevated CO<sub>2</sub> on the suppression of isoprene emission. Thus, this study provides a comprehensive understanding of the regulation of the MEP pathway and isoprene emission in the face of increasing CO<sub>2</sub>.</p>
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