Articles | Volume 12, issue 1
https://doi.org/10.5194/soil-12-165-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/soil-12-165-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Modelling long-term soil organic carbon sequestration under varying environmental drivers and internal protection mechanisms – towards a digital twin
W. Marijn van der Meij
CORRESPONDING AUTHOR
Institute of Geography, University of Cologne, Zülpicher Straße 45, 50674 Cologne, Germany
Peter Finke
Department of Environment, Ghent University, Coupure links 653, 9000 Ghent, Belgium
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We investigated geomorphological activity and stability of surfaces and soils along a climatic transect in the Atacama Desert. Single grain luminescence data and sediment analyses reveal recent deposition and shallow post-depositional mixing. Two distinct phases of enhanced activity align with previously reported wetter intervals, demonstrating the sensitivity of arid landscape dynamics to climatic variability.
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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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We investigated geomorphological activity and stability of surfaces and soils along a climatic transect in the Atacama Desert. Single grain luminescence data and sediment analyses reveal recent deposition and shallow post-depositional mixing. Two distinct phases of enhanced activity align with previously reported wetter intervals, demonstrating the sensitivity of arid landscape dynamics to climatic variability.
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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).
W. Marijn van der Meij
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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.
W. Marijn van der Meij, Svenja Riedesel, and Tony Reimann
SOIL, 11, 51–66, https://doi.org/10.5194/soil-11-51-2025, https://doi.org/10.5194/soil-11-51-2025, 2025
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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.
Lauren M. Gillespie, Nathalie Y. Triches, Diego Abalos, Peter Finke, Sophie Zechmeister-Boltenstern, Stephan Glatzel, and Eugenio Díaz-Pinés
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Sastrika Anindita, Peter Finke, and Steven Sleutel
SOIL, 9, 443–459, https://doi.org/10.5194/soil-9-443-2023, https://doi.org/10.5194/soil-9-443-2023, 2023
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This study investigated how land use, through its impact on soil geochemistry, might indirectly control soil organic carbon (SOC) content in tropical volcanic soils in Indonesia. We analyzed SOC fractions, substrate-specific mineralization, and net priming of SOC. Our results indicated that the enhanced formation of aluminum (hydr)oxides promoted aggregation and physical occlusion of OC, which is consistent with the lesser degradability of SOC in agricultural soils.
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
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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.
Vanesa García-Gamero, Tom Vanwalleghem, Adolfo Peña, Andrea Román-Sánchez, and Peter A. Finke
SOIL, 8, 319–335, https://doi.org/10.5194/soil-8-319-2022, https://doi.org/10.5194/soil-8-319-2022, 2022
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Short-scale soil variability has received much less attention than at the regional scale. The chemical depletion fraction (CDF), a proxy for chemical weathering, was measured and simulated with SoilGen along two opposite slopes in southern Spain. The results show that differences in CDF could not be explained by topography alone but by hydrological parameters. The model sensitivity test shows the maximum CDF value for intermediate precipitation has similar findings to other soil properties.
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Short summary
We used soil evolution model SoilGen to simulate long-term soil organic carbon (SOC) sequestration under varying environmental conditions and internal protection mechanisms. Our results revealed a strong role of pedogenetic and environmental history on current-day and future SOC sequestration potential. We propose a framework for developing topical digital twins of long-term soil processes to monitor and project future development of specific soil properties under global change.
We used soil evolution model SoilGen to simulate long-term soil organic carbon (SOC)...
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