From hillslopes to watersheds: Variability in model outcomes with the USLE. (December 2021)

• Record Type: Journal Article
• Authors: Meinen, Benjamin U.; Robinson, Derek T.
• Is Part Of: Environmental modelling & software. Volume 146(2021)
• Publication Date: 2021-12
• Subjects: Universal soil loss equation -- Erosion -- Watershed -- Uncertainty -- Soil degradation -- GIS; Environmental monitoring -- Computer programs -- Periodicals; Ecology -- Computer simulation -- Periodicals; Digital computer simulation -- Periodicals; Computer software -- Periodicals; Environmental Monitoring -- Periodicals; Computer Simulation -- Periodicals; Environnement -- Surveillance -- Logiciels -- Périodiques; Écologie -- Simulation, Méthodes de -- Périodiques; Simulation par ordinateur -- Périodiques; Logiciels -- Périodiques; Computer software; Digital computer simulation; Ecology -- Computer simulation; Environmental monitoring -- Computer programs; Periodicals; Electronic journals; 363.70015118
• DOI: 10.1016/j.envsoft.2021.105229
• Languages: English
• ISSNs: 1364-8152

Abstract

Abstract: The Universal Soil Loss Equation (USLE) has been the de-facto standard for soil erosion management studies since its seminal publication in the 1970's. Widespread use of the model is due, in part, to its simple empirical modelling structure and parsimonious parameterization; however, these benefits have also led to criticism of its relevance as a tool for estimating soil erosion. While the USLE has a strong empirical basis, it is regularly used beyond its intended design space, i.e., predicting soil loss from planar hillslopes, to predict distributed soil erosion rates at large spatial extents, which introduces uncertainty in model outcomes. In this paper, we use a case study for up-scaling the USLE to a large spatial extent to assess the variability in model outcomes from different model user's design choices. Our analysis demonstrates that a standardized and accredited methodology for up-scaling the USLE is needed to reduce uncertainty in model outcomes. Highlights: Different USLE modelling approaches and outcomes are compared. A novel polygon-based implementation of the USLE is used at the watershed scale. A methodology for coupling the USLE with a field-scale SDR is tested. More rigor and consistency is needed for large and small-scale USLE applications.