Articles | Volume 11, issue 1
https://doi.org/10.5194/soil-11-51-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/soil-11-51-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Original research article
| 
14 Jan 2025
Original research article |
| 14 Jan 2025
| 14 Jan 2025
Mixed Signals: interpreting mixing patterns of different soil bioturbation processes through luminescence and numerical modelling
W. Marijn van der Meij
CORRESPONDING AUTHOR
Institute of Geography, University of Cologne, Zülpicher Straße 45, 50674 Cologne, Germany
Svenja Riedesel
Institute of Geography, University of Cologne, Zülpicher Straße 45, 50674 Cologne, Germany
Department of Physics, Technical University of Denmark, Frederiksborgvej 399, 4000 Roskilde, Denmark
Tony Reimann
Institute of Geography, University of Cologne, Zülpicher Straße 45, 50674 Cologne, Germany
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Van der Meij, W. M., Temme, A. J. A. M., Binnie, S. A., and Reimann, T.: ChronoLorica: introduction of a soil–landscape evolution model combined with geochronometers, Geochronology, 5, 241–261, https://doi.org/10.5194/gchron-5-241-2023, 2023.
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Short summary
Soil mixing (bioturbation) plays a key role in soil functions, but the underlying processes are poorly understood and difficult to quantify. In this study, we use luminescence, a light-sensitive soil mineral property, and numerical models to better understand different types of bioturbation. We provide a conceptual model that helps to determine which types of bioturbation processes occur in a soil and a numerical model that can derive quantitative process rates from luminescence measurements.
Soil mixing (bioturbation) plays a key role in soil functions, but the underlying processes are...
