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  • 1
    Publication Date: 2024-02-17
    Keywords: Center for Marine Environmental Sciences; DATE/TIME; Day of the year; Gas chromatography; Hainich_National_Park; MARUM; n-Alkane C23, per unit dry leaf mass; n-Alkane C24, per unit dry leaf mass; n-Alkane C24, standard deviation; n-Alkane C25, per unit dry leaf mass; n-Alkane C25, standard deviation; n-Alkane C26, per unit dry leaf mass; n-Alkane C26, standard deviation; n-Alkane C27, per unit dry leaf mass; n-Alkane C27, standard deviation; n-Alkane C28, per unit dry leaf mass; n-Alkane C28, standard deviation; n-Alkane C29, per unit dry leaf mass; n-Alkane C29, standard deviation; n-Alkane C30, per unit dry leaf mass; n-Alkane C30, standard deviation; n-Alkane C31, per unit dry leaf mass; n-Alkane C31, standard deviation; n-Alkane C32, per unit dry leaf mass; n-Alkane C32, standard deviation; n-Alkane C33, per unit dry leaf mass; n-Alkane C33, standard deviation; n-Alkane C34, per unit dry leaf mass; n-Alkane C34, standard deviation; n-Alkane C35, per unit dry leaf mass; n-Alkane C35, standard deviation; Replicates; Species; Thuringia, Germany; Trees, canopy height
    Type: Dataset
    Format: text/tab-separated-values, 414 data points
    Location Call Number Expected Availability
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  • 2
    Publication Date: 2024-02-17
    Keywords: Center for Marine Environmental Sciences; DATE/TIME; Day of the year; Gas chromatography - Isotope ratio mass spectrometer (GC-IRMS); Hainich_National_Park; MARUM; n-Alkane C27, δD; n-Alkane C27, δD, standard deviation; n-Alkane C29, δD; n-Alkane C29, δD, standard deviation; n-Alkane C31, δD; n-Alkane C31, δD, standard deviation; Replicates; Species; Thuringia, Germany; Trees, canopy height
    Type: Dataset
    Format: text/tab-separated-values, 257 data points
    Location Call Number Expected Availability
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  • 3
    Publication Date: 2024-02-17
    Keywords: Air volume; Canopy position; Carbon Preference Index, n-Alkanes (C24-C34); Center for Marine Environmental Sciences; Date/time end; Date/time start; Day of the year; Duration, number of days; Flow rate; Gas chromatography; Hainich_National_Park; MARUM; n-Alkane C23 per air volume; n-Alkane C24 per air volume; n-Alkane C25 per air volume; n-Alkane C26 per air volume; n-Alkane C27 per air volume; n-Alkane C28 per air volume; n-Alkane C29 per air volume; n-Alkane C30 per air volume; n-Alkane C31 per air volume; n-Alkane C32 per air volume; n-Alkane C33 per air volume; n-Alkane C34 per air volume; n-Alkane C35 per air volume; Sum odd numbered n-alkanes C25-C35 per air volume; Thuringia, Germany; Time in hours
    Type: Dataset
    Format: text/tab-separated-values, 864 data points
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  • 4
    Publication Date: 2024-02-17
    Keywords: Air volume; Canopy position; Center for Marine Environmental Sciences; Date/time end; Date/time start; Day of the year; Duration, number of days; Flow rate; Hainich_National_Park; MARUM; n-Alkane C27, δD; n-Alkane C29, δD; n-Alkane C31, δD; Thuringia, Germany; Time in hours
    Type: Dataset
    Format: text/tab-separated-values, 417 data points
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  • 5
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    Unknown
    PANGAEA
    In:  Supplement to: Nelson, Daniel B; Knohl, Alexander; Sachse, Dirk; Schefuß, Enno; Kahmen, Ansgar (2017): Sources and abundances of leaf waxes in aerosols in central Europe. Geochimica et Cosmochimica Acta, 198, 299-314, https://doi.org/10.1016/j.gca.2016.11.018
    Publication Date: 2024-02-17
    Description: Atmospheric transport is an understudied mechanism for leaf wax hydrogen isotope applications that contributes to mobilizing and depositing these compounds on the surface of the Earth. While previous efforts have identified the importance of atmospheric leaf wax deposition in remote marine locations, the processes are not well constrained on land in temperate latitudes where lakes are common and sedimentary leaf wax hydrogen isotope values are an attractive tool for understanding past precipitation changes. This work presents results from a field study that was conducted in 2010 and 2011 at Hainich National Park, Germany in order to evaluate the quantity and sources of leaf waxes in the atmosphere. Aerosols were sam- pled at approximately weekly intervals inside the forest canopy, and n-alkane distributions and hydrogen isotope values were compared with those from major tree species surrounding the sampling site. Despite sampling in what was expected to be a major production center, the distribution and hydrogen isotope values of atmospheric n-alkanes bore little resemblance to those of the local vegetation. Comparison with local meteorological data and to 10-day and 36-h back air mass trajectories indicated shifting effects of winds and temperature, and that mesoscale transport processes were more important than long- range mechanisms. Back trajectories also highlighted source effects, with easterly winds coinciding with relatively lower leaf wax hydrogen isotope values from more continental regions. These results suggest that leaf wax aerosols average over spatial scales that exceed typical surface catchment areas for small lake systems, even in forested areas, yet that the area over which these compounds are derived is still relatively regional. Depositional fluxes were also estimated in order to assess the potential importance of atmospheric transport to sedimentary archives. Although difficult to constrain, these estimates suggest that atmospheric deposition may be non-negligible for lake systems in cases where inputs from rivers or surface runoff are limited. Together, these observations provide new insights on how leaf waxes from different sources are integrated during aeolian transport and the spatial scales over which these processes occur.
    Keywords: Center for Marine Environmental Sciences; MARUM
    Type: Dataset
    Format: application/zip, 4 datasets
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