|Veith, Tameria - Tamie|
|Nelson, Nathan - Kansas State University|
|Osmond, Deanna - North Carolina State University|
|Cabrera, Miguel - University Of Georgia|
|Pierzynski, Gary - Kansas State University|
|Ramirez-avila, John - Mississippi State University|
|Sharpley, Andrew - University Of Arkansas|
|Sweeney, Daniel - Kansas State University|
|Udawatta, Ranjith - University Of Missouri|
Submitted to: American Society of Agronomy Meetings
Publication Type: Abstract Only
Publication Acceptance Date: 7/25/2018
Publication Date: 11/7/2018
Citation: Bolster, C.H., Veith, T.L., Baffaut, C., Nelson, N.O., Osmond, D.L., Cabrera, M.L., Kleinman, P.J., Pierzynski, G.M., Ramirez-Avila, J.J., Sharpley, A.N., Sweeney, D.W., Udawatta, R.P. 2018. Development of a new database containing event-based P loadings from agricultural fields. American Society of Agronomy Meetings. Paper No. 48-3.
Technical Abstract: Computer simulation models are often employed to help land owners and planners evaluate how different management practices may affect risk of P loss in runoff from their fields. For P loss models to be useful tools, they must accurately predict, within reason, P loss under a wide range of climatic, physiographic, and land management conditions. One of the significant challenges to testing and evaluating models is the limited amount of data available for such analysis. Increasing awareness of the lack of available data for model evaluation and the increased use of on-line journal access has prompted making such data available to the public. One of the outcomes of our recent CIG-funded research effort was the compilation of a diverse set of field-scale P loss data (published and unpublished) covering a wide range of land management, physiographic, and climatic conditions. The database includes dissolved and/or total P loss runoff loadings from agricultural fields collected at various research sites located throughout the Southern, Chesapeake Bay, and Heartland regions of the US. The database also includes runoff and erosion rates; soil test P; tillage practices; planting and harvesting rates; fertilizer application rate, method, and timing; manure application rate, method, and timing; and livestock grazing density and timing. In total, over 1500 individual runoff events are included in the database. Runoff P losses ranged from below detection limit to more that 7.5 and 8.8 kg P ha-1 for dissolved and total P, respectively. The data contained in this database have been used by multiple research groups in multiple research studies to address important modeling questions relevant to P management planning. We foresee these data being used by other researchers to address similar questions with different models.