Other language confidence: 0.9460355045319351
This dataset provides information on soil chemistry and soil bulk density as part of the Grassworks project, which investigates the restoration of species-rich grasslands in Germany. Grasslands are globally threatened ecosystems, and the project aims to identify factors that contribute to successful restoration, focusing on ecological complexity and stakeholder engagement. Data was collected from 187 grassland sites across three regions in North, Central, and South Germany, each with distinct socio-economic and ecological characteristics. Sampling occurred between 2022 and 2023 and included 40–41 restored grassland sites and 20–25 reference sites (10–12 positive, 10–13 negative) per region. At each site in March or early April at each vegetation plot, we took soil samples (pooled from six soil cores, 20 mm diameter) that were further pooled into one sample per site and analyzed for total soil organic carbon (SOC), total nitrogen content, pH, and soil texture as well as microbial biomass (carbon based). Additionally, soil bulk density was measured at vegetation plots per site, to enable future assessment of carbon sequestration over time. Soil and bulk density samples were taken at two depths: 0–10 and 10–30 cm.
The data presented herein originates from a mesocosm study conducted as part of the BMBF CDRmare, Retake project (grant agreement no. 03F0895A), aimed at investigating the ecological ramifications of ocean alkalinity enhancement (OAE). Twelve mesocosms were deployed in Helgoland South Harbor, Germany, and systematically sampled using integrated water samplers over the period spanning from March 12th to April 20th, 2023. Six alkalinity levels under two dilution scenarios were established to differentiate between localized and uniform OAE additions. Alkalinity was increased stepwise to ΔTAmax = 1250 μmol kg-1 (250 μmol TA kg-1 increments) using sodium hydroxide (NaOH) with calcium chloride (CaCl2) to simulate cation release during calcium-based mineral dissolution, causing strong carbonate chemistry perturbations (e.g., pHT > 9.25). The dataset encompasses a spectrum of sediment trap particle flux data, water column biogeochemistry including pigment variables, inorganic nutrients, carbonate chemistry parameters. The study and data set offer insights into impacts of alkalinity enhancement on marine ecosystems and their associated biogeochemistry.
Salt marshes along the Wadden Sea coast are often shaped by anthropogenic alterations to their hydrology and sedimentation. To investigate the effects of hydrological restoration through summer dike openings on soil carbon storage capacities, soil samples were collected from four study sites along the Lower Saxony Wadden Sea coast, Germany. Each site featured restored areas, i.e., former summer polders reconnected to tidal exchange, and reference salt marshes adjacent to the polders. The polders varied in restoration age, i.e., 0 (control, not restored), 8, 14, and 28 years, forming a chronosequence for temporal analysis, while the reference salt marshes remained unchanged. Soil samples were taken along transects that represented different marsh zones, including pioneer, lower salt marsh, and upper salt marsh. The soil samples covered soil layers down to a depth of 100 cm and were collected in five sections of 20 cm using an Edelman corer. Total carbon, organic carbon, and inorganic carbon were analyzed using CN-elementary analysis and calcimeter methods. This dataset provides valuable insights into the potential of hydrological restoration measures to enhance soil carbon sequestration in salt marshes.
This product shows globally the daily snow cover extent (SCE). The snow cover extent is the result of the Global SnowPack processor's interpolation steps and all data gaps have been filled. Snow cover extent is updated daily and processed in near real time (3 days lag). In addition to the near real-time product (NRT_SCE), the entire annual data set is processed again after the end of a calendar year in order to close data gaps etc. and the result is made available as a quality-tested SCE product. There is also a quality layer for each day (SCE_Accuracy), which reflects the quality of the snow determination based on the time interval to the next "cloud-free" day, the time of year and the topographical/geographical location. The “Global SnowPack” is derived from daily, operational MODIS snow cover product for each day since February 2000. Data gaps due to polar night and cloud cover are filled in several processing steps, which provides a unique global data set characterized by its high accuracy, spatial resolution of 500 meters and continuous future expansion. It consists of the two main elements daily snow cover extent (SCE) and seasonal snow cover duration (SCD; full and for early and late season). Both parameters have been designated by the WMO as essential climate variables, the accurate determination of which is important in order to be able to record the effects of climate change. Changes in the largest part of the cryosphere in terms of area have drastic effects on people and the environment. For more information please also refer to: Dietz, A.J., Kuenzer, C., Conrad, C., 2013. Snow-cover variability in central Asia between 2000 and 2011 derived from improved MODIS daily snow-cover products. International Journal of Remote Sensing 34, 3879–3902. https://doi.org/10.1080/01431161.2013.767480 Dietz, A.J., Kuenzer, C., Dech, S., 2015. Global SnowPack: a new set of snow cover parameters for studying status and dynamics of the planetary snow cover extent. Remote Sensing Letters 6, 844–853. https://doi.org/10.1080/2150704X.2015.1084551 Dietz, A.J., Wohner, C., Kuenzer, C., 2012. European Snow Cover Characteristics between 2000 and 2011 Derived from Improved MODIS Daily Snow Cover Products. Remote Sensing 4. https://doi.org/10.3390/rs4082432 Dietz, J.A., Conrad, C., Kuenzer, C., Gesell, G., Dech, S., 2014. Identifying Changing Snow Cover Characteristics in Central Asia between 1986 and 2014 from Remote Sensing Data. Remote Sensing 6. https://doi.org/10.3390/rs61212752 Rößler, S., Witt, M.S., Ikonen, J., Brown, I.A., Dietz, A.J., 2021. Remote Sensing of Snow Cover Variability and Its Influence on the Runoff of Sápmi’s Rivers. Geosciences 11, 130. https://doi.org/10.3390/geosciences11030130
Kulisse Erosion 2025 nach der GAP-Konditionalitäten-Verordnung vom 9. Dezember 2022 (K-Wassererosionsgefährdungsklasse).:Kulisse Erosion 2025 nach der GAP-Konditionalitäten-Verordnung vom 9. Dezember 2022 (K-Wassererosionsgefährdungsklasse). Der Entwurf der GAP-Konditionalitäten-Verordnung sieht eine Einteilung dieser Flächen in Erosionsgefährdungsklassen vor: KWasser1 = Erosionsgefährdung durch Niederschläge, KWasser2 = hohe Erosionsgefährdung durch Niederschläge
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