Articles | Volume 24, issue 9
Research article
15 Sep 2020
Research article |  | 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, Bano Mehdi, Jens Kiesel, Karsten Schulz, and Mathew Herrnegger


Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to revisions (further review by editor and referees) (09 May 2020) by Nunzio Romano
AR by Christoph Schürz on behalf of the Authors (20 Jun 2020)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (03 Jul 2020) by Nunzio Romano
RR by Anonymous Referee #1 (23 Jul 2020)
RR by Anonymous Referee #3 (27 Jul 2020)
ED: Publish as is (30 Jul 2020) by Nunzio Romano
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.