Articles | Volume 24, issue 9
https://doi.org/10.5194/hess-24-4463-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-24-4463-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
15 Sep 2020
Research article |
| 15 Sep 2020
| 15 Sep 2020
A systematic assessment of uncertainties in large-scale soil loss estimation from different representations of USLE input factors – a case study for Kenya and Uganda
Christoph Schürz
CORRESPONDING AUTHOR
Institute for Hydrology and Water Management, University of Natural Resources and Life Sciences, Vienna (BOKU), Vienna, Austria
Bano Mehdi
Institute for Hydrology and Water Management, University of Natural Resources and Life Sciences, Vienna (BOKU), Vienna, Austria
Institute of Agronomy, University of Natural
Resources and Life Sciences, Vienna (BOKU), Tulln, Austria
Jens Kiesel
Leibniz Institute of Freshwater Ecology and Inland Fisheries (IGB), Berlin, Germany
Institute of Natural Resource Conservation, Department of Hydrology and Water Resources Management, Christian Albrechts University of Kiel, Kiel, Germany
Karsten Schulz
Institute for Hydrology and Water Management, University of Natural Resources and Life Sciences, Vienna (BOKU), Vienna, Austria
Mathew Herrnegger
CORRESPONDING AUTHOR
Institute for Hydrology and Water Management, University of Natural Resources and Life Sciences, Vienna (BOKU), Vienna, Austria
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- A process‐based soil erosion model ensemble to assess model uncertainty in climate‐change impact assessments J. Eekhout et al. 10.1002/ldr.3920
- Assessing the impact of climate change on soil erosion in East Africa using a convection-permitting climate model S. Chapman et al. 10.1088/1748-9326/ac10e1
- Assessing Land Use and Climate Change Impacts on Soil Erosion Caused by Water in China X. Weng et al. 10.3390/su15107865
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- Agricultural Practices and Soil and Water Conservation in the Transboundary Region of Kenya and Uganda: Farmers’ Perspectives of Current Soil Erosion H. Mwanake et al. 10.3390/agriculture13071434
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- Evaluating spatio-temporal soil erosion dynamics in the Winam Gulf catchment, Kenya for enhanced decision making in the land-lake interface O. Humphrey et al. 10.1016/j.scitotenv.2021.151975
- Spatiotemporal analysis of the quantitative attribution of soil water erosion in the upper reaches of the Yellow River Basin based on the RUSLE-TLSD model H. Li et al. 10.1016/j.catena.2022.106081
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- Assessing soil erosion and its drivers in agricultural landscapes: a case study in southern Bahia, Brazil M. François et al. 10.2166/wcc.2024.147
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- Water soil erosion modeling with RUSLE, GIS & remote sensing: A case study of the AL-Sanaoubar River basin (Syria) R. Al-hasn et al. 10.1016/j.jssas.2024.05.004
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Latest update: 23 Apr 2025
Short summary
The USLE is a commonly used model to estimate soil erosion by water. It quantifies soil loss as a product of six inputs representing rainfall erosivity, soil erodibility, slope length and steepness, plant cover, and support practices. Many methods exist to derive these inputs, which can, however, lead to substantial differences in the estimated soil loss. Here, we analyze the effect of different input representations on the estimated soil loss in a large-scale study in Kenya and Uganda.
The USLE is a commonly used model to estimate soil erosion by water. It quantifies soil loss as...
