Loess and other Quaternary sediments in Germany

Lehmkuhl, Frank; Pötter, Stephan; Pauligk, Annika; Bösken, Janina

doi:10.1080/17445647.2018.1473817

Cited by 26 publications

(16 citation statements)

References 39 publications

(68 reference statements)

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“…The range of methodological approaches used in loess provenance research is broad. Conceptual research assessed dust sources based on the geographical and geomorphological situation of loess deposits (Smalley and Leach, 1978;Leger, 1990;Smalley et al, 2009;Badura et al, 2013;Lehmkuhl et al, 2016Lehmkuhl et al, , 2018b or prevailing atmospheric regimes favoring dust transport and deposition (Antoine et al, 2001(Antoine et al, , 2009Vandenberghe et al, 2006). Spatial variability in grain size distributions can be used as a proxy for the distance from the source area (Frazee et al, 1970;Jipa, 2014;Schaetzl et al, 2018).…”

Section: Sampling and Laboratory Analyses Methodological Background Omentioning

confidence: 99%

“…For glacial loess, however, grinding by mountain glaciers and continental ice sheets (CIS) as well as frost shattering of periglacial mountainous areas are the main dust formation processes (Smalley and Smalley, 1983;Smalley et al, 2014). Furthermore, various authors highlighted the general significance of rivers as agents of reworking and storage of silt-sized particles, respectively (Smalley and Leach, 1978;Smalley et al, 2009;Badura et al, 2013;Lehmkuhl et al, 2018aLehmkuhl et al, , 2018b. The distinction between dust formation by CIS and processes in the high mountain areas was recently postulated by Li et al (2020), who differentiated between the continental glacier-river transport (CR) mode and the mountain provenanceriver transport (MR) mode of loess genesis.…”

Section: Introductionmentioning

confidence: 99%

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Disentangling Sedimentary Pathways for the Pleniglacial Lower Danube Loess Based on Geochemical Signatures

et al. 2021

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The source of aeolian sediments such as loess has been investigated since decades. Reliable knowledge on potential dust sources is crucial to understand past climatic and environmental conditions accompanying the dispersal of early modern humans (EMH) into Europe. Provenance studies are usually performed on small sample sets and most established methods are expensive and time-consuming. Here, we present the results of high-resolution geochemical analyses performed on five loess-palaeosol sequences from the Lower Danube Basin (LDB), a region, despite its importance as a trajectory for EMH, largely underrepresented in loess provenance studies. We compare our results with geochemical data of loess-palaeosol sequences from Austria, Hungary, Serbia, and Ukraine. Based on published literature, we thus evaluate five plausible sedimentary pathways for the LDB loess: 1) the Danube alluvium (DA) pathway, which constrains the transport and re-deposition of detrital material by the Danube and its tributaries; 2) the Carpathian Bending (CB) pathway, where sediment is mainly transported from the Cretaceous to Neogene flysch of the Eastern Carpathian Bending; 3) the Eastern Carpathian (EC) pathway, in which sediment is eroded from the flysch of the Outer Eastern Carpathians, transported by rivers, and deflated by northwesterly to westerly winds; 4) the glaciofluvial (GF) pathway, where dust is deflated from glacial outwash plains in nowadays Ukraine, and 5) the Black Sea (BS) pathway, where dust originates from the exposed shelf of the Black Sea. Based on geochemical data, we consider the DA pathway to be the major sediment trajectory for loess in the LDB. Especially the sequences located close to the Danube and the Dobrogea show similarities to sites in Central and Northeast Hungary as well as Northern Serbia. For the northeastern part of the LDB, we demonstrate that dust input is mainly sourced from primary material from the Eastern Carpathians. Mineralogical estimations and geochemical data render the CB pathway as an additional substantial source of detrital material for the loess of this area. We consider the influence of the GF pathway in the LDB as negligible, whereas some minor influences of the BS pathway cannot be ruled out based on geochemical data.

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Section: Sampling and Laboratory Analyses Methodological Background Omentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Disentangling Sedimentary Pathways for the Pleniglacial Lower Danube Loess Based on Geochemical Signatures

et al. 2021

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“…Study sites Zilly and Hecklingen (Gleina for comparison) in the North European loess belt. The loess distribution is according to Lehmkuhl et al (2018). In the Netherlands the data are based on the geological map (scale 1:600 000; Zagwijn & Van Staalduinen 1975) and for Poland (Dobrza nski et al 1974) national soil maps were digitized.…”

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confidence: 99%

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

Schmidt

Zeeden

Krauß

et al. 2021

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The continuing development of analytical methods for investigating sedimentary records calls for iterative reexamination 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 1r 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 agestiming 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 siteformation 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.

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“…The cartography has been achieved using two main types of methods: (1) the compilation of regional maps based on a conventional geological or pedological approach, and (2) the use of databases on soil texture interpolated from a dense mesh of measurement points, sometimes coupled with other variables. Among the first type of maps, the most notable are those produced by Wagner et al (2011) and Lehmkuhl et al (2018a) for Germany, Prognon et al (2011) for France, Lindner et al (2017) and Lehmkuhl et al (2018b) for the Pannonian Basin (Croatia, Hungary, Serbia), and Jipa (2014) for the Lower Danube Basin (Romania and Bulgaria). These maps were then compiled in order to produce a homogeneous document at a continental scale (Haase et al, 2007;Lehmkuhl et al, 2021).…”

Section: Introductionmentioning

confidence: 99%