In:
Journal of Environmental Quality, Wiley, Vol. 48, No. 2 ( 2019-03), p. 510-517
Kurzfassung:
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.
Materialart:
Online-Ressource
ISSN:
0047-2425
,
1537-2537
DOI:
10.2134/jeq2018.09.0337
Sprache:
Englisch
Verlag:
Wiley
Publikationsdatum:
2019
ZDB Id:
120525-0
ZDB Id:
2050469-X
