A transport-distance approach to scaling erosion rates: 3. Evaluating scaling characteristics of Mahleran
Article first published online: 23 JAN 2008
Copyright © 2008 John Wiley & Sons, Ltd.
Earth Surface Processes and Landforms
Volume 33, Issue 7, pages 1113–1128, June 2008
How to Cite
Wainwright, J., Parsons, A. J., Müller, E. N., Brazier, R. E., Powell, D. M. and Fenti, B. (2008), A transport-distance approach to scaling erosion rates: 3. Evaluating scaling characteristics of Mahleran. Earth Surf. Process. Landforms, 33: 1113–1128. doi: 10.1002/esp.1622
- Issue published online: 3 JUN 2008
- Article first published online: 23 JAN 2008
- Manuscript Accepted: 27 SEP 2007
- Manuscript Revised: 7 SEP 2007
- Manuscript Received: 21 MAY 2007
- sediment transport;
- soil-erosion model;
In the two previous papers of this series, we demonstrated how a novel approach to erosion modelling (Mahleran – Model for Assessing Hillslope-Landscape Erosion, Runoff And Nutrients) provided distinct advantages in terms of process representation and explicit scaling characteristics when compared with existing models. A first evaluation furthermore demonstrated the ability of the model to reproduce spatial and temporal patterns of erosion and their particle-size characteristics on a large rainfall-simulation plot. In this paper, we carry out a more detailed evaluation of the model using monitored erosion events on plots of different size. The evaluation uses four plots of 21·01, 115·94, 56·84 and 302·19 m2, with lengths of 4·12, 14·48, 18·95 and 27·78 m, respectively, on similar soils to the rainfall-simulation plot, for which runoff and erosion were monitored under natural rainfall. Although the model produces the correct ranking of the magnitude of erosion events, it performs less well in reproducing the absolute values and particle-size distributions of the eroded sediment. The implications of these results are evaluated in terms of requirements for process understanding and data for parameterization of improved soil-erosion models. We suggest that there are major weaknesses in the current understanding and data underpinning existing models. Consequently, a more holistic re-evaluation is required that produces functional relationships for different processes that are mutually consistent, and that have appropriate parameterization data to support their use in a wide range of environmental conditions. Copyright © 2008 John Wiley & Sons, Ltd.