Evaluation of Phosphorus Site Assessment Tools: Lessons from the USA

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dc.contributor.authorSharpley, Andrewen
dc.contributor.authorKleinman, Peter J. A.en
dc.contributor.authorBaffaut, Claireen
dc.contributor.authorBeegle, Dougen
dc.contributor.authorBolster, Carlen
dc.contributor.authorCollick, Amyen
dc.contributor.authorEaston, Zachary M.en
dc.contributor.authorLory, Johnen
dc.contributor.authorNelson, Nathanen
dc.contributor.authorOsmond, Deannaen
dc.contributor.authorRadcliffe, David E.en
dc.contributor.authorVeith, Tamie L.en
dc.contributor.authorWeld, Jenniferen
dc.contributor.departmentBiological Systems Engineeringen
dc.date.accessioned2020-03-18T19:01:46Zen
dc.date.available2020-03-18T19:01:46Zen
dc.date.issued2017-11en
dc.description.abstractCritical source area identification through phosphorus (P) site assessment is a fundamental part of modern nutrient management planning in the United States, yet there has been only sparse testing of the many versions of the P Index that now exist. Each P site assessment tool was developed to be applicable across a range of field conditions found in a given geographic area, making evaluation extremely difficult. In general, evaluation with in-field monitoring data has been limited, focusing primarily on corroborating manure and fertilizer "source" factors. Thus, a multiregional effort (Chesapeake Bay, Heartland, and Southern States) was undertaken to evaluate P Indices using a combination of limited field data, as well as output from simulation models (i.e., Agricultural Policy Environmental eXtender, Annual P Loss Estimator, Soil and Water Assessment Tool [SWAT], and Texas Best Management Practice Evaluation Tool [TBET]) to compare against P Index ratings. These comparisons show promise for advancing the weighting and formulation of qualitative P Index components but require careful vetting of the simulation models. Differences among regional conclusions highlight model strengths and weaknesses. For example, the Southern States region found that, although models could simulate the effects of nutrient management on P runoff, they often more accurately predicted hydrology than total P loads. Furthermore, SWAT and TBET overpredicted particulate P and underpredicted dissolved P, resulting in correct total P predictions but for the wrong reasons. Experience in the United States supports expanded regional approaches to P site assessment, assuming closely coordinated efforts that engage science, policy, and implementation communities, but limited scientific validity exists for uniform national P site assessment tools at the present time.en
dc.description.adminPublic domain – authored by a U.S. government employeeen
dc.description.notesThis research was supported by four USDA-NRCS Conservation Innovation Grants to assess the accuracy of P Indices to determine the risk of P runoff, to identify shortcomings, and to provide options to refine and improve indices. Mention of trade names or commercial products in this publication is solely to provide specific information and does not imply recommendation or endorsement by the USDA. The USDA is an equal opportunity provider and employer.en
dc.description.sponsorshipUSDA-NRCS Conservation Innovation Grantsen
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.2134/jeq2016.11.0427en
dc.identifier.eissn1537-2537en
dc.identifier.issn0047-2425en
dc.identifier.issue6en
dc.identifier.pmid29293829en
dc.identifier.urihttp://hdl.handle.net/10919/97362en
dc.identifier.volume46en
dc.language.isoenen
dc.rightsCC0 1.0 Universalen
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/en
dc.titleEvaluation of Phosphorus Site Assessment Tools: Lessons from the USAen
dc.title.serialJournal of Environmental Qualityen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten
dc.type.dcmitypeStillImageen

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