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Inglis, Gordon N; Collinson, Margaret E; Riegel, Walter; Wilde, Volker; Robson, Brittany E; Lenz, Olaf K; Pancost, Richard D (2015): Elemental, biomarker, palynology and maceral data from Seam 1, Schöningen and associated interbeds [dataset publication series]. PANGAEA, https://doi.org/10.1594/PANGAEA.863865, Supplement to: Inglis, GN et al. (2015): Ecological and biogeochemical change in an early Paleogene peat-forming environment: Linking biomarkers and palynology. Palaeogeography, Palaeoclimatology, Palaeoecology, 438, 245-255, https://doi.org/10.1016/j.palaeo.2015.08.001

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Abstract:
Sphagnum moss is the dominant plant type in modern boreal and (sub)arctic ombrotrophic bogs and is of particular interest due to its sensitivity to climate and its important role in wetland biogeochemistry. Here we reconstruct the occurrence of Sphagnum moss - and associated biogeochemical change - within a thermally immature, early Paleogene (~55 Ma) lignite from Schöningen, NW Germany using a high-resolution, multi-proxy approach. Changes in the abundance of Sphagnum-type spores and the C23/C31n-alkane ratio indicate the expansion of Sphagnum moss within the top of the lignite seam. This Sphagnum moss expansion is associated with the development of waterlogged conditions, analogous to what has been observed within modern ombrotrophic bogs. The similarity between biomarkers and palynology also indicates that the C23/C31n-alkane ratio may be a reliable chemotaxonomic indicator for Sphagnum during the early Paleogene. The d13C value of bacterial hopanes and mid-chain n-alkanes indicates that a rise in water table is not associated with a substantial increase in aerobic methanotrophy. The absence of very low d13C values within the top of the seam could reflect either less methanogenesis or less efficient methane oxidation under waterlogged sulphate-rich conditions.
Coverage:
Latitude: 52.140560 * Longitude: 10.992500
Event(s):
Schoningen * Latitude: 52.140560 * Longitude: 10.992500 * Location: Lower Saxony, Germany * Method/Device: Outcrop sample (OUTCROP)
Size:
4 datasets

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