SWAT Literature Database for Peer-Reviewed Journal Articles

Title:SWAT vs. RUSLE: Which better predicts benthic habitat condition? 
Authors:Scott, L. and A. Villamagna 
Year:2020 
Journal:Journal of Soil and Water Conservation 
Volume (Issue):75(6) 
Pages:765-774 
Article ID: 
DOI:10.2489/jswc.2020.00183 
URL (non-DOI journals): 
Model:SWAT 
Broad Application Category:hydrologic & pollutant 
Primary Application Category:model comparison 
Secondary Application Category:sediment loss and transport 
Watershed Description:Ten drainage areas, located in the upper parts of the Roanoke and Nottoway River Watersheds located in southern Virginia, U.S. 
Calibration Summary: 
Validation Summary: 
General Comments: 
Abstract:Excessive sediment loading to streams can harm benthic species habitat. Human driven land cover and land use changes increase soil erosion and sediment loading rates over time. Conservation and management agencies are increasingly restoring vegetation along riparian zones as a means to protect water quality and instream habitat; however, time and funding are limited.Widespread habitat degradation caused by sediment deposition increases the need for a prioritization framework to improve project efficiency.We developed and compared decision-support frameworks to predict instream silt cover and embeddedness—threats to benthic species.These frameworks statistically integrate landscape characteristics and estimates of soil loss derived from the Revised Universal Soil Loss Equation (RUSLE) or sediment loading computed using the Soil and Water Assessment Tool (SWAT). Results from t he comparisons of statistical models discussed within suggest that upland soil erosion and estimated soil loading only partially explain patterns of silt cover and embeddedness. 
Language:English 
Keywords:decision-support, prioritization, sediment, watershed modeling