Preprints
https://doi.org/10.5194/egusphere-2024-1036
https://doi.org/10.5194/egusphere-2024-1036
18 Apr 2024
 | 18 Apr 2024

Translating deposition rates into erosion rates with landscape evolution modelling

W. Marijn van der Meij

Abstract. Soil erosion is one of the main threats to agricultural food production due to the loss of fertile soil. Determination of erosion rates is essential to quantify the degree of land degradation, but it is inherently challenging to determine temporally dynamic erosion rates over agricultural time scales. Optically Stimulated Luminescence (OSL) dating can provide temporally-resolved deposition rates by determining the last moment of daylight exposure of buried colluvial deposits. However, these deposition rates may differ substantially from the actual hillslope erosion rates.

In this study, OSL-based deposition rates were converted to hillslope erosion rates through inverse modelling with soil-landscape evolution model ChronoLorica. This model integrates geochronological tracers into the simulations of soil mixing and redistribution. The model was applied to a kettle hole catchment in north-eastern Germany, which has been affected by tillage erosion over the last 5000 years. The initial shape of the landscape and the land use history are well-constrained, enabling accurate simulations of the landscape evolution that incorporate uncertainties in the model inputs.

The calibrated model reveals an increase in erosion rates of almost to orders of magnitude from pre-historic ard ploughing up to recent intensive land management. The simulated rates match well with independent age controls from the same catchment. Uncertainty in the reconstructed initial landscape and land use histories had a minor influence of 12–16 % on the simulated rates. The simulations showed that the deposition rates were on average 1.5 higher than the erosion rates due to the ratio of erosional and depositional area. Recent artificial drainage and land reclamation have increased deposition rates up to five times the erosion rates, emphasizing the need of cautious interpretation of deposition rates as erosion proxies. This study demonstrates the suitability of ChronoLorica for upscaling experimental geochronological data to better understand landscape evolution in agricultural settings.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this paper. While Copernicus Publications makes every effort to include appropriate place names, the final responsibility lies with the authors. Views expressed in the text are those of the authors and do not necessarily reflect the views of the publisher.
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Journal article(s) based on this preprint

11 Sep 2025
Translating deposition ages into erosion rates: inverse landscape evolution modelling and uncertainty analysis
W. Marijn van der Meij
Earth Surf. Dynam., 13, 845–860, https://doi.org/10.5194/esurf-13-845-2025,https://doi.org/10.5194/esurf-13-845-2025, 2025
Short summary
W. Marijn van der Meij

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2024-1036', Anonymous Referee #1, 09 May 2024
    • AC1: 'Reply on RC1', Marijn van der Meij, 18 Jul 2024
  • RC2: 'Comment on egusphere-2024-1036', Anonymous Referee #2, 14 Jul 2024
    • AC2: 'Reply on RC2', Marijn van der Meij, 18 Jul 2024

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2024-1036', Anonymous Referee #1, 09 May 2024
    • AC1: 'Reply on RC1', Marijn van der Meij, 18 Jul 2024
  • RC2: 'Comment on egusphere-2024-1036', Anonymous Referee #2, 14 Jul 2024
    • AC2: 'Reply on RC2', Marijn van der Meij, 18 Jul 2024

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Marijn van der Meij on behalf of the Authors (04 Oct 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (28 Nov 2024) by Greg Hancock
RR by Tom Coulthard (08 Jul 2025)
ED: Publish subject to technical corrections (04 Aug 2025) by Greg Hancock
ED: Publish as is (04 Aug 2025) by Wolfgang Schwanghart (Editor)
AR by Marijn van der Meij on behalf of the Authors (11 Aug 2025)

Journal article(s) based on this preprint

11 Sep 2025
Translating deposition ages into erosion rates: inverse landscape evolution modelling and uncertainty analysis
W. Marijn van der Meij
Earth Surf. Dynam., 13, 845–860, https://doi.org/10.5194/esurf-13-845-2025,https://doi.org/10.5194/esurf-13-845-2025, 2025
Short summary
W. Marijn van der Meij
W. Marijn van der Meij

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The requested preprint has a corresponding peer-reviewed final revised paper. You are encouraged to refer to the final revised version.

Short summary
A soil-landscape evolution model was used to calculate hillslope erosion rates from OSL-based deposition rates 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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