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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Dennis Handy, W. Marijn Van der Meij, Mirijam Zickel, and Tony Reimann
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This preprint is open for discussion and under review for Geoscientific Instrumentation, Methods and Data Systems (GI).
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Geoscientific projects often struggle to manage complex data effectively, resulting in valuable information being lost due to poor findability and accessibility. To address this, we present a comprehensive research data framework for storing and processing data throughout a project, from fieldwork to data analysis. This ensures that datasets are clearly defined, reproducible and adhere to the FAIR principles (findability, accessibility, interoperability and reusability).
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A soil-landscape evolution model was used to calculate hillslope erosion rates from OSL-based (Optically Stimulated Luminescence) deposition ages through inverse modelling, with consideration of uncertainties in model input. The results show that erosion rates differ systematically from the deposition rates, highlighting important shortcomings of assessing land degradation through measurable deposition rates.
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We present our model ChronoLorica. We coupled the original Lorica model, which simulates soil and landscape evolution, with a geochronological module that traces cosmogenic nuclide inventories and particle ages through simulations. These properties are often measured in the field to determine rates of landscape change. The coupling enables calibration of the model and the study of how soil, landscapes and geochronometers change under complex boundary conditions such as intensive land management.
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The development of soils and landscapes can be complex due to changes in climate and land use. Computer models are required to simulate this complex development. This research presents a new method to analyze and visualize the results of these models. This is done with the use of evolutionary pathways (EPs), which describe how soil properties change in space and through time. I illustrate the EPs with examples from the field and give recommendations for further use of EPs in soil model studies.
Dennis Handy, W. Marijn Van der Meij, Mirijam Zickel, and Tony Reimann
EGUsphere, https://doi.org/10.5194/egusphere-2025-4832, https://doi.org/10.5194/egusphere-2025-4832, 2025
This preprint is open for discussion and under review for Geoscientific Instrumentation, Methods and Data Systems (GI).
Short summary
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Geoscientific projects often struggle to manage complex data effectively, resulting in valuable information being lost due to poor findability and accessibility. To address this, we present a comprehensive research data framework for storing and processing data throughout a project, from fieldwork to data analysis. This ensures that datasets are clearly defined, reproducible and adhere to the FAIR principles (findability, accessibility, interoperability and reusability).
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We evaluate different methods for the potassium (K) concentration determination in feldspars and the impact of the K-concentrations on dose rate calculations for feldspar luminescence dating. Our results show discrepancies between published and our measured K-concentrations. Therefore, we emphasise to measure K-concentrations via bulk measurements and single-grain techniques to obtain more accurate results.
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This research applies luminescence dating methods to a plaggic anthrosol in the eastern Netherlands to understand the formation history of the soil. To achieve this, we combined both quartz and feldspar luminescence dating methods. We developed a new method for feldspar to largely avoid the problem occurring from poorly bleached grains by examining two different signals from a single grain. Through our research, we were able to reconstruct the timing and processes of plaggic anthrosol formation.
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Geochronology, 6, 53–70, https://doi.org/10.5194/gchron-6-53-2024, https://doi.org/10.5194/gchron-6-53-2024, 2024
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This study tested the application of single-grain feldspar luminescence for dating and reconstructing sediment dynamics of an extreme mass movement event in the Himalayan mountain range. Our analysis revealed that feldspar signals can be used to estimate the age range of the deposits if the youngest subpopulation from a sample is retrieved. The absence of clear spatial relationships with our bleaching proxies suggests that sediments were transported under extremely limited light exposure.
Jürgen Mey, Wolfgang Schwanghart, Anna-Maartje de Boer, and Tony Reimann
Geochronology, 5, 377–389, https://doi.org/10.5194/gchron-5-377-2023, https://doi.org/10.5194/gchron-5-377-2023, 2023
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This study presents the results of an outdoor flume experiment to evaluate the effect of turbidity on the bleaching of fluvially transported sediment. Our main conclusions are that even small amounts of sediment lead to a substantial change in the intensity and frequency distribution of light within the suspension and that flow turbulence is an important prerequisite for bleaching grains during transport.
W. Marijn van der Meij, Arnaud J. A. M. Temme, Steven A. Binnie, and Tony Reimann
Geochronology, 5, 241–261, https://doi.org/10.5194/gchron-5-241-2023, https://doi.org/10.5194/gchron-5-241-2023, 2023
Short summary
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We present our model ChronoLorica. We coupled the original Lorica model, which simulates soil and landscape evolution, with a geochronological module that traces cosmogenic nuclide inventories and particle ages through simulations. These properties are often measured in the field to determine rates of landscape change. The coupling enables calibration of the model and the study of how soil, landscapes and geochronometers change under complex boundary conditions such as intensive land management.
W. Marijn van der Meij
SOIL, 8, 381–389, https://doi.org/10.5194/soil-8-381-2022, https://doi.org/10.5194/soil-8-381-2022, 2022
Short summary
Short summary
The development of soils and landscapes can be complex due to changes in climate and land use. Computer models are required to simulate this complex development. This research presents a new method to analyze and visualize the results of these models. This is done with the use of evolutionary pathways (EPs), which describe how soil properties change in space and through time. I illustrate the EPs with examples from the field and give recommendations for further use of EPs in soil model studies.
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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...
