Back to Search Start Over

A chronological and palaeoenvironmental re‐evaluation of two loess‐palaeosol records in the northern Harz foreland, Germany, based on innovative modelling tools

Authors :
Ludwig Zöller
Frank Lehmkuhl
Christoph Schmidt
Christian Zeeden
Lydia Krauß
Schmidt, Christoph
1Chair of Geomorphology & BayCEER University of Bayreuth Universitätsstr. 30 Bayreuth 95440 Germany
Zeeden, Christian
3Leibniz Institute for Applied Geophysics Stilleweg 2 Hannover 30655 Germany
Krauß, Lydia
4Department of Geography RWTH Aachen University Wüllnerstr. 5b Aachen 52056 Germany
Lehmkuhl, Frank
6RWTH Aachen University Wüllnerstr. 5b Aachen 52056 Germany
Zöller, Ludwig
Source :
Boreas 50(3), 746-763 (2021). doi:10.1111/bor.12510, Boreas, vol. 50, pp. 746-763
Publication Year :
2021
Publisher :
Wiley, 2021.

Abstract

The continuing development of analytical methods for investigating sedimentary records calls for iterative re‐examination of existing data sets obtained on loess‐palaeosol sequences (LPS) as archives of palaeoenvironmental change. Here, we re‐investigate two LPS (Hecklingen, Zilly) in the northern Harz foreland, Germany, being of interest due to their proximity to the Scandinavian Ice Sheet (SIS) and the position between oceanic climatic influence further west and continental influence towards the east. First, we established new quartz OSL and polymineral IRSL chronologies. Both methods show concordant ages in the upper part of the Hecklingen profile (~20–40 ka), but in the lower part IRSL underestimates OSL ages by up to ~15 ka for the period 40–60 ka. Interpretations hence refer to the OSL data set. Second, we applied Bayesian age‐depth modelling to data sets from Hecklingen to resolve inversions in the original ages, also reducing averaged 1σ uncertainty by ~19% (OSL) and ~12% (IRSL). Modelled chronologies point out phases of increased (MIS 2, early MIS 3) and reduced (middle and late MIS 3) sedimentation, but interpretation of numerical rates is problematic because of intense erosion and slope wash particularly during MIS 3. Finally, previously obtained grain‐size data were re‐investigated by end member modelling analyses. Three fundamental grain‐size distributions (loadings) explain the measured data sets and offer information on intensity and – combined with modelled OSL ages – timing of geomorphic processes. We interpret the loadings to represent (i) primary loess accumulation, (ii) postdepositional pedogenesis and/or input of aeolian fine fractions, and (iii) input of coarse aeolian material and/or slope wash. The applied modelling tools facilitate detailed understanding of site‐formation through time, allowing us to correlate a strong peak in mean grain size at ~26–24 ka to the maximum extent of the SIS and increased influence of easterly winds.<br />Deutsche Forschungsgemeinschaft http://dx.doi.org/10.13039/501100001659

Details

ISSN :
15023885 and 03009483
Volume :
50
Database :
OpenAIRE
Journal :
Boreas
Accession number :
edsair.doi.dedup.....e1094bc3e3f781b3a058fb22534e15fe