Development of PLEAD: A Database Containing Event‐based Runoff Phosphorus Loadings from Agricultural Fields. Issue 2 (1st March 2019)
- Record Type:
- Journal Article
- Title:
- Development of PLEAD: A Database Containing Event‐based Runoff Phosphorus Loadings from Agricultural Fields. Issue 2 (1st March 2019)
- Main Title:
- Development of PLEAD: A Database Containing Event‐based Runoff Phosphorus Loadings from Agricultural Fields
- Authors:
- 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. - Abstract:
- Abstract : 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 <0.05 to 1.3 and 3.0 kg P ha −1 for dissolved and total P, respectively. The data contained in this database have been used in multiple research studies to address importantAbstract : 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 <0.05 to 1.3 and 3.0 kg P ha −1 for dissolved and total P, respectively. The data contained in this database have been used in multiple research studies to address important modeling questions relevant to P management planning. We provide these data to encourage additional studies by other researchers. The PLEAD database is available at https://doi.org/10.15482/USDA.ADC/1482380 . Core Ideas: Development of database containing P loss from agricultural fields is described. We provide public access to P loss data for individual runoff events. The data can be used to evaluate P loss models and P Indices. … (more)
- Is Part Of:
- Journal of Environmental Quality. Volume 48:Issue 2(2019)
- Journal:
- Journal of Environmental Quality
- Issue:
- Volume 48:Issue 2(2019)
- Issue Display:
- Volume 48, Issue 2 (2019)
- Year:
- 2019
- Volume:
- 48
- Issue:
- 2
- Issue Sort Value:
- 2019-0048-0002-0000
- Page Start:
- 510
- Page End:
- 517
- Publication Date:
- 2019-03-01
- Subjects:
- Agricultural ecology -- Periodicals
Environmental engineering -- Periodicals
Pollution -- Periodicals
630 - Journal URLs:
- http://onlinelibrary.wiley.com/ ↗
https://acsess.onlinelibrary.wiley.com/journal/15372537 ↗ - DOI:
- 10.2134/jeq2018.09.0337 ↗
- Languages:
- English
- ISSNs:
- 0047-2425
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 14345.xml