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Climate signal recorded in fluvial data: Examples of radiocarbon dates analysis from selected regions of southern Poland, eastern Netherlands, and eastern Germany

Published online by Cambridge University Press:  01 December 2025

Danuta J. Michczyńska*
Affiliation:
Silesian University of Technology, Insitute of Physics – Centre for Science and Education, Division of Geochronology and Environmental Isotopes, Konarskiego 22B, 44-100 Gliwice, Poland
Piotr Gębica
Affiliation:
University of Rzeszów, Institute of Archaeology, Moniuszki 10, 35-015 Rzeszów, Poland
Dariusz Wieczorek
Affiliation:
Polish Geological Institute – National Research Institute, Holy Cross Branch of Jan Czarnocki in Kielce, Zgoda 21, 25-378 Kielce, Poland
Adam Michczyński
Affiliation:
Silesian University of Technology, Insitute of Physics – Centre for Science and Education, Division of Geochronology and Environmental Isotopes, Konarskiego 22B, 44-100 Gliwice, Poland
*
Corresponding author: Danuta J. Michczyńska; Email: Danuta.Michczynska@polsl.pl
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Abstract

Using calibrated radiocarbon dates, this study investigates climate signals recorded in fluvial sedimentary archives from southern Poland, eastern Netherlands, and eastern Germany. Summed probability density functions (PDFs) were constructed and analyzed in the context of INTIMATE stratigraphy. The results indicate that fluvial sedimentation and erosion processes were closely linked to climate fluctuations, particularly during GS/GI and GI/GS transitions. The analyses indicate multi-scale relationships between regional geomorphological processes and global climate trends during the period from 50 to 15 cal kBP. This study provides a reconstruction of Late Pleistocene fluvial activity and highlights the need for more precise radiocarbon dates to refine correlations between regional and global climate events.

Information

Type
Conference Paper
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2025. Published by Cambridge University Press on behalf of University of Arizona
Figure 0

Figure 1. Study area. The bold red segments schematically indicate sections of river valleys with sites from which radiocarbon dates analyzed in this study were collected. The maximum extent of the Weichselian ice sheet at 40, 35, and 30 ka, as well as the LGM, is shown based on Batchelor et al. (2019).

Figure 1

Figure 2. PDF curves for the analyzed regions. A – Eastern Netherlands, B – Eastern Germany, C – S Poland, Subcarpathian Basins, D – S Poland, Carpathians, E – δ18O curve from the NGRIP ice core and INTIMATE stratigraphic division (Rasmussen et al. 2014): stadial periods marked as GS, interstadial periods as GI; GI periods are additionally highlighted as vertical bands.

Figure 2

Figure 3. Analysis of the radiocarbon dataset for the Eastern Netherlands (Dinkel River valley). A – 68.3% confidence intervals of calibrated individual dates. B – Summed probability density function (PDF). C – PDF distributions for date subgroups (the number of dates in each subgroup is indicated above each peak). D – Calibration results of weighted means for each subgroup. E – Same as in Figure 2.

Figure 3

Figure 4. Analysis of the radiocarbon dataset for the Eastern Germany. A–E – same as in Figure 3.

Figure 4

Figure 5. Analysis of the radiocarbon dataset for S Poland, Subcarpathian Basins. A–E – same as in Figure 3.

Figure 5

Figure 6. Analysis of the radiocarbon dataset for S Poland, Carpathians. A–E – same as in Figure 3.

Figure 6

Figure 7. Results of the calibration of means for individual date subgroups within the analyzed regions presented as 68.3% confidence intervals (horizontal bars).

Figure 7

Figure 8. Summed PDF graph for all analyzed regions. The upper graph includes all 503 collected radiocarbon age determinations. The lower graph presents results for 444 dates, excluding those with significantly higher uncertainties than similar aged dates.

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