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11 results for “bvoc”
Changes in the factors influencing forest floor BVOC emissions during forest succession
<p>The files have been uploaded to comply with AGU and journal requirements, particularly the "Open Research" section, which provides links to the data and analytical code necessary for the peer review process. This initiative aims to support transparent and reproducible science. </p> <ul> <li>Data analysis and the ploting of Figure2 in manuscript, along with Figure S1-S3 and Table S1-S4 in supporting information, were conducted using R Studio. The file "Forest floor BVOC emissions_analyses and plots.R" and datasets "ForestFloor.csv", "boxplot_BVOC_ca.csv", "boxplot_BVOC_fi.csv", "boxplot_BVOC_ru.csv", "SamplingSite_1.csv" were utilized for this purpose.</li> <li>To generate Figure 3 in the manuscript, the file "SIMCA 18 for Fig 3.dox" and dataset "ForestFloor.xlsx" were used. The word file provide the the trial software link. </li> <li>For the analysis and ploting of Figure 4 in the manuscript, the file "PLS_PM.R" and dataset "BVOC_PLSR_PM.csv" were employed. </li> <li>The file "For Fig S4.xlsx" was used to create Figure S4 in the supporting information. </li> </ul> <p>Abstract in article</p> <p><span>The boreal forest floor is a crucial source of diverse biogenic volatile organic compounds (BVOCs) emitted into the atmosphere. Climate change is increasing in the frequency of wildfires in the boreal forest, major disturbances with lasting impacts on the ecosystem, particularly the forest floor. Wildfires changed BVOC sources and emissions, influencing aerosol formation during forest succession across various age classes. This study quantified BVOC emissions from the forest floor and characterized microenvironmental conditions, including abiotic factors (air temperature, soil temperature, soil moisture, light intensity) and biotic factors (ground vegetation composition, species coverage, soil respiration). Our objective was to understand how abiotic and biotic factors influence the forest floor BVOC emissions during forest succession. Path models revealed direct influences of ground vegetation composition on isoprene and monoterpene emissions. Sesquiterpene emissions were mainly regulated by abiotic factors, while isoprene and monoterpene emissions were influenced both directly and indirectly by abiotic factors. The indirect impact of abiotic factors was manifested through biotic factors, including vegetation and soil processes. Effect sizes of influencing factors varied across different forest age areas, with temperature exerting a larger impact in earlier burned areas compared to recently burned areas. The influence of soil moisture on BVOC emissions diminished with forest age. Our findings indicated the importance of identifying influencing factors and their relationship with forest floor BVOC emissions during different stages of forest succession for predicting the effect of post-wildfire forest succession on the BVOC emission patterns and, consequently, their impact on climate.<span> </span></span></p>
Volatile organic compounds (BVOCs and AVOCs) that were measured at the Eastern Mediterranean coast (Ramat Hanadiv, Israel)
<p>Volatile organic compounds (BVOCs and AVOCs), which were measured at the Eastern Mediterranean coast (Ramat Hanadiv, Israel) in 2015 using a PTR-ToF-MS, and have been published. The publication is available at: <a href="https://acp.copernicus.org/articles/20/12741/2020/acp-20-12741-2020.html" target="_new" rel="noreferrer">https://acp.copernicus.org/articles/20/12741/2020/acp-20-12741-2020.html</a></p>
BVOC Fluxes from Individual Branches in the Mixed Mediterranean Shrubbery of Ramat Hanadiv
<p>Fluxes were derived from BVOCs sampled from individual branches in the mixed Mediterranean shrubbery of Ramat Hanadiv Nature Park. We conducted branch-enclosure sampling measurements on six selected branches of <em>Phillyrea latifolia</em>—the highest BVOC emitter in this park—during September–October 2020. These samples were then analyzed by gas chromatography-mass spectrometry to identify BVOCs and quantify their fluxes. The data was used for a publication -https://doi.org/10.5194/egusphere-2024-529, 2024</p>
Data and code for theoretical analyses for the evolution of biogenic volatile organic compounds (BVOCs) emission strategy
<p>These are Python code for analysis and JSON data obtained by simulation with the lattice model.</p> <p>To visualize figures better, we have slightly modified the content of "LatticeModelVisualization.ipynb".</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>
Mountain birch ozone stress bvoc emission
Open the record for dataset details and reuse information.
BVOC observations in Kleiner Feldberg (2011)
<p>The dataset contains both ambient measurements and emission rates as described in:</p> <p>Bourtsoukidis et al. (2012): https://doi.org/10.5194/bg-9-4337-2012 </p> <p>Bourtsoukidis et al. (2014): https://doi.org/10.5194/acp-14-6495-2014 </p>
Changes in BVOC emissions in response to the El Niño-Southern Oscillation | Data & scripts
<p>Data and Python scripts used for the study "Changes in BVOC emissions in response to the El Niño-Southern Oscillation" Vella et al. Preprint published on EGUSphere on 03 May 2023.</p>
BVOCs emission data
<p>BVOCs emission data in different synoptic weather patterns</p>
SAFARI 2000 BVOC Measurements at Skukuza and Maun Flux Towers, Wet Season 2001
Biogenic volatile organic compound (BVOC) emissions were measured in a Colophospermum mopane woodland near Maun, Botswana, and in a Combretum-Acacia savanna in Kruger National Park, 13 km from Skukuza, Republic of South Africa (RSA) during the 2001 wet season campaign of SAFARI 2000. In addition, relaxed eddy accumulation (REA) measurements of BVOC fluxes were made on flux towers at these sites, where net CO2 emissions were also measured simultaneously. The investigators also took advantage of a wide variety of easily accessible plant specimens growing in a nursery in the Kruger National Park to screen an additional 95 species of African plants for their ability to emit isoprene, providing species level isoprene emission information which can be used to further initial estimates of isoprene emissions from additional ecosystems of southern Africa. A leaf cuvette technique was used to determine the emission capacities of the nursery plants and the temperature and light dependence of the emissions. This research on BVOC emissions contributes to the development of a regional scale BVOC emissions model for southern Africa.Data files contain records of BVOC measurements from the Maun and Skukuza flux tower sites; species level isoprene emissions and physiological data; and site meteorological data. The data files are stored as ASCII text files, in comma-delimited format, with column headers.More information can be found in the companion file.
SAFARI 2000 Estimated BVOC Emissions for Southern African Land Cover Types
Improved vegetation distribution and emission data for Africa south of the equator were developed for the Southern African Regional Science Initiative (SAFARI 2000) and combined with biogenic volatile organic compound (BVOC) emission measurements to estimate BVOC emissions for the southern African region. BVOC emissions were estimated for southern Africa on a monthly basis over a one-year period by combining GIS layers of vegetation, LAI, and climate with a biogenic emissions model, GLOBEIS (Guenther et al, 1993; Guenther, 1999). Model input data included: vegetation data (Rutherford et al., 2000); species emission capacity data (Greenberg et al., 2003; Guenther et al., 1996; Harley et al., 2003; Klinger et al., 1998; Otter et al., 2002; Serca et al., 2001; Wiedinmyer et al., 2004); LAI data (1987-88 ISLSCP LAI; Sellers et al., 1994); cloud cover (MODIS LAI cloud mask); and temperature data (NOAA NCDC data).Model output includes emissions estimates for isoprene, light-dependent monoterpene, stored monoterpene, and other volatile organic compounds by land cover category and by vegetation type (g C m-2 mo-1). Emissions were modeled for a summer (January) and a winter (July) month in 2001. Monthly and annual total emissions per constituent for the year 2001 were also calculated. The data files containing the model outputs are ASCII comma-delimited files. Graphics (.jpgs) included with this data set show the distribution of light dependent monoterpene emissions across southern Africa during January, the average monthly isoprene emissions over southern Africa in January and in July, and the average monthly stored monoterpene emissions over southern Africa in January and in July.
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