Document Detail


Modeling watershed-scale effectiveness of agricultural best management practices to reduce phosphorus loading.
MedLine Citation:
PMID:  19008034     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Planners advocate best management practices (BMPs) to reduce loss of sediment and nutrients in agricultural areas. However, the scientific community lacks tools that use readily available data to investigate the relationships between BMPs and their spatial locations and water quality. In rural, humid regions where runoff is associated with saturation-excess processes from variable source areas (VSAs), BMPs are potentially most effective when they are located in areas that produce the majority of the runoff. Thus, two critical elements necessary to predict the water quality impact of BMPs include correct identification of VSAs and accurate predictions of nutrient reduction due to particular BMPs. The objective of this research was to determine the effectiveness of BMPs using the Variable Source Loading Function (VSLF) model, which captures the spatial and temporal evolutions of VSAs in the landscape. Data from a long-term monitoring campaign on a 164-ha farm in the New York City source watersheds in the Catskills Mountains of New York state were used to evaluate the effectiveness of a range of BMPs. The data spanned an 11-year period over which a suite of BMPs, including a nutrient management plan, riparian buffers, filter strips and fencing, was installed to reduce phosphorus (P) loading. Despite its simplicity, VSLF predicted the spatial distribution of runoff producing areas well. Dissolved P reductions were simulated well by using calibrated reduction factors for various BMPs in the VSLF model. Total P losses decreased only after cattle crossings were installed in the creek. The results demonstrated that BMPs, when sited with respect to VSAs, reduce P loss from agricultural watersheds, providing useful information for targeted water quality management.
Authors:
Nalini S Rao; Zachary M Easton; Elliot M Schneiderman; Mark S Zion; David R Lee; Tammo S Steenhuis
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Publication Detail:
Type:  Journal Article; Research Support, U.S. Gov't, Non-P.H.S.     Date:  2008-11-12
Journal Detail:
Title:  Journal of environmental management     Volume:  90     ISSN:  0301-4797     ISO Abbreviation:  J. Environ. Manage.     Publication Date:  2009 Mar 
Date Detail:
Created Date:  2009-01-05     Completed Date:  2009-03-05     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0401664     Medline TA:  J Environ Manage     Country:  England    
Other Details:
Languages:  eng     Pagination:  1385-95     Citation Subset:  IM    
Affiliation:
Department of Biological and Environmental Engineering, 206 Riley-Robb Hall, Cornell University, Ithaca, NY 14853, United States. nsr7@cornell.edu
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MeSH Terms
Descriptor/Qualifier:
Agriculture / methods*
Computer Simulation
Environmental Monitoring
Models, Theoretical
Phosphorus / chemistry*
Water Pollutants, Chemical / chemistry*
Chemical
Reg. No./Substance:
0/Water Pollutants, Chemical; 7723-14-0/Phosphorus

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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