1Institute for Geography, Universität Augsburg, 86159 Augsburg,
2Chair of Soil Protection and Recultivation, Brandenburg University of
Technology Cottbus-Senftenberg, 03046 Cottbus, Germany
3Institute of Soil Landscape Research, Leibniz Centre for Agricultural
Landscape Research (ZALF) e.V., 15374 Müncheberg, Germany
4Earth & Life Institute/TECLIM, Université catholique de
1348 Louvain, Belgium
Received: 16 Jun 2016 – Discussion started: 01 Jul 2016
Abstract. Over the last few decades, soil erosion and carbon redistribution modelling has received a lot of attention due to large uncertainties and conflicting results. For a physically based representation of event dynamics, coupled soil and carbon erosion models have been developed. However, there is a lack of research utilizing models which physically represent preferential erosion and transport of different carbon fractions (i.e. mineral bound carbon, carbon encapsulated by aggregates and particulate organic carbon). Furthermore, most of the models that have a high temporal resolution are applied to relatively short time series (< 10 yr−1), which might not cover the episodic nature of soil erosion. We applied the event-based multi-class sediment transport (MCST) model to a 100-year time series of rainfall observation. The study area was a small agricultural catchment (3 ha) located in the Belgium loess belt about 15 km southwest of Leuven, with a rolling topography of slopes up to 14 %. Our modelling analysis indicates (i) that interrill erosion is a selective process which entrains primary particles, while (ii) rill erosion is non-selective and entrains aggregates, (iii) that particulate organic matter is predominantly encapsulated in aggregates, and (iv) that the export enrichment in carbon is highest during events dominated by interrill erosion and decreases with event size.
Revised: 18 Jan 2017 – Accepted: 23 Jan 2017 – Published: 17 Feb 2017
Wilken, F., Fiener, P., and Van Oost, K.: Modelling a century of soil redistribution processes and carbon delivery from small watersheds using a multi-class sediment transport model, Earth Surf. Dynam., 5, 113-124, doi:10.5194/esurf-5-113-2017, 2017.