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

Area of Science:

• Environmental Science
• Agricultural Science
• Data Science

Background:

• Accurate prediction of phosphorus (P) loss from agricultural fields is crucial for environmental management.
• Existing computer models require extensive, diverse field data for reliable performance across various conditions.
• Scarcity of comprehensive, event-based P loss data hinders model development and validation.

Purpose of the Study:

• To introduce the P Loss in runoff Events from Agricultural fields Database (PLEAD).
• To provide a valuable, event-based dataset for improving phosphorus runoff models.
• To support research in agricultural P management and risk assessment.

Main Methods:

• Compilation of event-based, field-scale dissolved and total P loss data from agricultural fields.
• Inclusion of associated data: runoff/erosion rates, soil-test P, tillage, planting/harvesting, fertilizer/manure application, and grazing details.
• Data collected from research sites across the US Heartland and southern United States.

Main Results:

• The PLEAD database contains >1800 individual runoff events (0.4–97 h duration).
• Observed event runoff P losses ranged from <0.05 to 1.3 kg P/ha (dissolved) and 3.0 kg P/ha (total).
• The dataset has been instrumental in addressing key phosphorus modeling questions.

Conclusions:

• The PLEAD database offers a robust resource for enhancing the accuracy and applicability of P loss models.
• Availability of this data encourages further research into agricultural P runoff and management strategies.
• This compilation supports improved P management planning and risk assessment in agriculture.