Earth Surface Dynamics
Earth Surface Dynamics
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Articles | Volume 13, issue 5
Articles | Volume 13, issue 5
https://doi.org/10.5194/esurf-13-845-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/esurf-13-845-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 13, issue 5
Research article
 | 
11 Sep 2025
Research article |  | 11 Sep 2025

Translating deposition ages into erosion rates: inverse landscape evolution modelling and uncertainty analysis

W. Marijn van der Meij

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Cited articles

Aldana Jague, E., Sommer, M., Saby, N. P. A., Cornelis, J.-T., Van Wesemael, B., and Van Oost, K.: High resolution characterization of the soil organic carbon depth profile in a soil landscape affected by erosion, Soil and Tillage Research, 156, 185–193, https://doi.org/10.1016/j.still.2015.05.014, 2016. 
Alewell, C., Egli, M., and Meusburger, K.: An attempt to estimate tolerable soil erosion rates by matching soil formation with denudation in Alpine grasslands, Journal of Soils and Sediments, 15, 1383–1399, https://doi.org/10.1007/s11368-014-0920-6, 2015. 
Bateman, M. D., Frederick, C. D., Jaiswal, M. K., and Singhvi, A. K.: Investigations into the potential effects of pedoturbation on luminescence dating, Quaternary Science Reviews, 22, 1169–1176, https://doi.org/10.1016/S0277-3791(03)00019-2, 2003. 
Bergonse, R. and Reis, E.: Reconstructing pre-erosion topography using spatial interpolation techniques: A validation-based approach, Journal of Geographical Sciences, 25, 196–210, https://doi.org/10.1007/s11442-015-1162-2, 2015. 
Calitri, F., Sommer, M., Norton, K., Temme, A., Brandová, D., Portes, R., Christl, M., Ketterer, M. E., and Egli, M.: Tracing the temporal evolution of soil redistribution rates in an agricultural landscape using 239+240Pu and 10Be, Earth Surface Processes and Landforms, 44, 1783–1798, https://doi.org/10.1002/esp.4612, 2019. 
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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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