Science and Technology

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https://loar.kb.dk/handle/1902/4284
Science and Technology, Aarhus University's faculty of science and engineering. The faculty covers the classical science subjects, as well as engineering, agricultural sciences, food research, and environmental science.

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    Biofilm growth in two streams draining mountainous permafrost catchments in NE Greenland
    (2020-02-24) Pastor, Ada; Wu, Naicheng; Skovsholt, Louis J.; Riis, Tenna
    The objective of this study was to evaluate how stream water nutrient concentrations influence biofilm accrual in streams draining mountainous permafrost headwaters. We selected six stream locations in the Zackenberg area (NE Greenland, 74ºN) subjected to a gradient in the areal contribution of different geomorphological units in the watersheds and channel stability. We used nutrient diffusing substrates to evaluate biofilm growth (autotrophic and total biomass). We found elevated stream nitrate concentrations in samples from upstream reaches draining larger areas of solifluction sheets and bare rock and with higher channel instability. Nitrate had the highest standardized effect on autotrophic biofilm growth on control discs. However, stream biofilm growth was not nutrient limited as shown by the absence of an increase in biofilm biomass as a response to the experimental nutrient additions. The response to nutrient additions via diffusing substrates depended on the altitude gradient. Overall, our results showed stream nitrogen availability to be one of the main drivers of algal biofilm accrual in high-Arctic streams, suggesting that the predicted changes in nutrient exports induced by climate change will have strong impacts on the biogeochemistry and ecological functioning of high-Arctic streams
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    Meteorological site-level data from agricultural fields at Foulum (Denmark) from 25 May 2018 to 25 September 2019
    Pullens, J.W.M.; Kørup, K.; Plauborg, F.
    This dataset provides site-level, meteorological data from the agricultural research facilities at Foulum (Aarhus University) – part of the Danish Research Infrastructure AnaEE Denmark. The site is situated at Foulum, Central Jylland in Denmark in an agricultural field. The data set covers Air Temperature (TA), Relative Humidity (RH), Wind Direction (WD), Wind Speed (WS), Precipitation (P), Soil heat flux (G), Air pressure (PA), Net shortwave radiation (NETRAD), Global Radiation (SW_IN), Soil Temperature under grass (TS_1_1), Soil temperature at 10 and 30 cm depth (TS_2_1 and TS_2_2, respectively) for the period 20180525 to 20190925. The time resolution is hourly and contains a data flag for each variable to indicate the quality of the data. The dataset is supplemented by a metadata file with similar filename. This file gives information about units, sensors, logging intervals and data quality assurance procedures for the dataset. Format: ASCII (csv), comma separated. Data variable names and data files were created following a structure similar to the ICOS project (https://www.icos-ri.eu/), with some additions when needed. The ICOS meta-data standards are described at https://meta.icos-cp.eu/resources/cpmeta/atcMeteoTimeSer. Table-driven variable codes (GRIB codes) are provided for each data variable according to WMO guidelines of variable codes (https://public.wmo.int/en). For more information on variable codes of WMO, see https://www.wmo.int/pages/prog/www/WMOCodes/WMO306_vI2/LatestVERSION/LatestVERSION.html Acknowledgements: Margit Styrbæk Jørgensen and numerous technicians.
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    Meteorological site-level data from agricultural fields at Foulum (Denmark) from 25 May 2018 to 31 December 2019
    (2019-12-31) Pullens, J.W.M.; Kørup, K.; Plauborg, F.
    This dataset provides site-level, meteorological data from the agricultural research facilities at Foulum (Aarhus University) – part of the Danish Research Infrastructure AnaEE Denmark. The site is situated at Foulum, Central Jylland in Denmark in an agricultural field. The dataset covers Air Temperature (TA), Relative Humidity (RH), Wind Direction (WD), Wind Speed (WS), Precipitation (P), Soil heat flux (G), Air pressure (PA), Net shortwave radiation (NETRAD), Global Radiation (SW_IN), Soil Temperature under grass (TS_1_1), Soil temperature at 10 and 30 cm depth (TS_2_1 and TS_2_2, respectively) for the period 20180525 to 20191231. The time resolution is hourly and contains a data flag for each variable to indicate the quality of the data. The dataset is supplemented by a metadata file with similar filename. This file gives information about units, sensors, logging intervals and data quality assurance procedures for the dataset. This dataset is an update of the data set previously published (DOI: http://dx.doi.org/10.21994/loar4105). This dataset entails the full calendar year of 2019 and due to an issue with our software, the old dataset did not contain the correct precipitation data. The data is now is corrected and it resulted in 133 mm higher precipitation in the period 4 March to 31 December 2019. Format: ASCII (csv), comma separated. Data variable names and data files were created following a structure similar to the ICOS project (https://www.icos-ri.eu/), with some additions when needed. The ICOS meta-data standards are described at https://meta.icos-cp.eu/resources/cpmeta/atcMeteoTimeSer. Table-driven variable codes (GRIB codes) are provided for each data variable according to WMO guidelines of variable codes (https://public.wmo.int/en). For more information on variable codes of WMO, see https://www.wmo.int/pages/prog/www/WMOCodes/WMO306_vI2/LatestVERSION/LatestVERSION.html