Development of PLEAD: A Database Containing Event‐based Runoff Phosphorus Loadings from Agricultural Fields

Computer models are commonly used for predicting risks of runoff P loss from agricultural fields by enabling simulation of various management practices and climatic scenarios. For P loss models to be useful tools, however, they must accurately predict P loss for a wide range of climatic, physiograph...

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Veröffentlicht in:Journal of environmental quality 2019-03, Vol.48 (2), p.510-517
Hauptverfasser: Bolster, Carl H., Baffaut, Claire, Nelson, Nathan O., Osmond, Deanna L., Cabrera, Miguel L., Ramirez‐Avila, John J., Sharpley, Andrew N., Veith, Tamie L., McFarland, Anne M. S., Senaviratne, Anomaa G. M. M. M., Pierzynski, Gary M., Udawatta, Ranjith P.
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Sprache:eng
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Zusammenfassung:Computer models are commonly used for predicting risks of runoff P loss from agricultural fields by enabling simulation of various management practices and climatic scenarios. For P loss models to be useful tools, however, they must accurately predict P loss for a wide range of climatic, physiographic, and land management conditions. A complicating factor in developing and evaluating P loss models is the relative scarcity of available measured field data that adequately capture P losses before and after implementing management practices in a variety of physiographic settings. Here, we describe the development of the P Loss in runoff Events from Agricultural fields Database (PLEAD)—a compilation of event‐based, field‐scale dissolved and/or total P loss runoff loadings from agricultural fields collected at various research sites located in the US Heartland and southern United States. The database also includes runoff and erosion rates; soil‐test P; tillage practices; planting and harvesting rates and practices; fertilizer application rate, method, and timing; manure application rate, method, and timing; and livestock grazing density and timing. In total, >1800 individual runoff events—ranging in duration from 0.4 to 97 h—have been included in the database. Event runoff P losses ranged from
ISSN:0047-2425
1537-2537
DOI:10.2134/jeq2018.09.0337