SWAT Literature Database for Peer-Reviewed Journal Articles

Title:Development of Agricultural Conservation Reduction Estimator (ACRE), a simple field-scale conservation planning and evaluation tool 
Authors:White, M., M. DiLuzio, M. Gambone, D. Smith, E. McLellan, K. Bieger, J. Arnold, R. Haney and J. Gao 
Year:2019 
Journal:Journal of Soil and Water Conservation 
Volume (Issue):74 (6) 
Pages:537-544 
Article ID: 
DOI:10.2489/jswc.74.6.537 
URL (non-DOI journals): 
Model:ACRE 
Broad Application Category:pollutant only 
Primary Application Category:BMP assessment 
Secondary Application Category:pollutant cycling/loss and transport 
Watershed Description:Conterminous U.S. (over 48 states). 
Calibration Summary: 
Validation Summary: 
General Comments:Abstract states that ACRE is based on a national database of export coefficients developed using the Texas Best management practice Evaluation Tool (TBET) and Soil and Water Assessment Tool (SWAT) models in conjunction with BMP efficiency data. 
Abstract:The United States spends billions of dollars each year on subsidized conservation practices to reduce sediment and nutrient pollution from agricultural lands with little assessment of how much those loads were reduced. A variety of tools are available to predict the effects of conservation practices, but these either suffer from a lack of accuracy due to limited monitoring data, or are model-based and too complex for use by conservation planners. In this research, we detail the development of a simple tool to fill this need, called the Agricultural Conservation Reduction Estimator (ACRE). ACRE is driven by an extensive national database of export coefficients developed using the Texas Best management practice Evaluation Tool (TBET) and Soil and Water Assessment Tool (SWAT) models combined with conservation practice efficiencies derived from a mixture of literature values and model simulations. The previously calibrated and validated TBET/SWAT was applied nationally using data from the National Agricultural Model, an effort by the USDA Agricultural Research Service to construct publicly available data sets for modeling at national scale. ACRE uses distributional information from both model predictions and literature estimates to perform a Monte-Carlo based estimate of sediment and nutrient loads (with confidence limits) from cultivated cropland. ACRE meets an important need by providing science-based estimates of conservation practice benefits 
Language:English 
Keywords:conservation, nutrient, sediment, Soil and Water Assessment Tool (SWAT), water quality