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  • Boknis_Eck_2013-14; MULT; Multiple investigations  (1)
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    PANGAEA
    In:  Supplement to: Maltby, Johanna; Steinle, Lea; Löscher, Carolin R; Bange, Hermann Werner; Fischer, Martin A; Schmidt, Mark; Treude, Tina (2018): Microbial methanogenesis in the sulfate-reducing zone of sediments in the Eckernförde Bay, SW Baltic Sea. Biogeosciences, 15(1), 137-157, https://doi.org/10.5194/bg-15-137-2018
    Publication Date: 2023-05-03
    Description: The presence of surface methanogenesis, located within the sulfate-reducing zone (0-30 centimeters below seafloor, cmbsf), was investigated in sediments of the seasonally hypoxic Eckernförde Bay, southwestern Baltic Sea. Water column parameters like oxygen, temperature and salinity together with porewater geochemistry and benthic methanogenesis rates were determined in the sampling area 'Boknis Eck' quarterly from March 2013 to September 2014, to investigate the effect of seasonal environmental changes on the rate and distribution of surface methanogenesis and to estimate its potential contribution to benthic methane emissions. Water column parameters where determined via CTD (temperature, salinity, pressure), as well as gas chromatography (methane) and fluorometric methods (chlorophyll a). For porewater and sediment geochemistry various method were used including photometry (sulfide), ion chromatography (sulfate), N/C Analysis (DIC), Carbo-Elba element analysis (POC, C/N), gas chromatography (methane). Sediment net methanogenesis rates were determined via the methane increase (measured with gas chromatography) over time in sediment slurry batch incubations. Sediment hydrogenotrophic methanogenesis was measured by adding radiotracer (14C-bicarbonate) to sediment samples and measuring the production of 14C-methane (via scintillation counting) after a specific period of time. For further details (sample preparation and analysis) see the related publication (Maltby et al., 2017, Biogeosciences Discussions)
    Keywords: Boknis_Eck_2013-14; MULT; Multiple investigations
    Type: Dataset
    Format: application/zip, 4 datasets
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