21 Sep 2022
21 Sep 2022

ChronoLorica – Introduction of a soil-landscape evolution model combined with geochronometers

W. Marijn van der Meij1, Arnaud J. A. M. Temme2, Steven A. Binnie3, and Tony Reimann1 W. Marijn van der Meij et al.
  • 1Institute of Geography, University of Cologne, Zülpicher Str. 45, 50674 Cologne, Germany
  • 2Department of Geography and Geospatial Sciences, Kansas State University, 920 N17th Street, Manhattan, KS, USA
  • 3Institute of Geology and Mineralogy, University of Cologne, Zülpicher Str. 49b, 50674 Cologne, Germany

Abstract. Understanding long-term soil and landscape evolution can help us understand the threats to current-day soils, landscapes and their functions. The temporal evolution of soils and landscapes can be studied using geochronometers, such as OSL particle ages or radionuclide inventories. Also, soil-landscape evolution models (SLEMs) can be used to study the spatial and temporal evolution of soils and landscapes through numerical modelling of the processes responsible for the evolution. SLEMs and geochronometers have been combined in the past, but often these couplings focus on a single geochronometer, are designed for specific idealized landscape positions or do not consider multiple transport processes or post-depositional mixing processes that can disturb the geochronometers in sedimentary archives.

We present a coupling of soil-landscape evolution model Lorica with a geochronological module, named ChronoLorica. The module traces spatiotemporal patterns of particle ages, analogous to OSL ages, and radionuclide inventories during the simulations of soil and landscape evolution. The geochronological module opens rich possibilities for data-based calibration of simulated model processes, which include natural processes, such as bioturbation and soil creep, as well as anthropogenic processes, such as tillage. Moreover, ChronoLorica can be applied to transient landscapes that are subject to complex boundary conditions, such as land use intensification, and processes of post-depositional disturbance which often result in complex geo-archives.

In this contribution, we illustrate the model functionality and applicability by simulating soil and landscape evolution along a two-dimensional hillslope. We show how the model simulates the development of two geochronometers: OSL particle ages and cosmogenic nuclide inventories. The results are compared with field observations from comparable landscapes. We also discuss the limitations of the model and highlight its potential applications in pedogenical, geomorphological or geological studies.

W. Marijn van der Meij et al.

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2022-934', Anonymous Referee #1, 03 Nov 2022
    • AC1: 'Reply on RC1', Marijn van der Meij, 13 Jan 2023
  • RC2: 'Comment on egusphere-2022-934', Harrison Gray, 07 Nov 2022
    • AC2: 'Reply on RC2', Marijn van der Meij, 13 Jan 2023

W. Marijn van der Meij et al.

W. Marijn van der Meij et al.


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Short summary
We present our model ChronoLorica. We coupled the original Lorica model, that simulates soil and landscape evolution, with a geochronological module that traces cosmogenic nuclide inventories and particle ages through the simulations. These properties are often measured in the field to determine rates of landscape change. The coupling enables calibration of the model and study how soil, landscapes and the geochronometers change under complex boundary conditions such as intensive land management.