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Related Experiment Videos

Approximating phosphorus release from soils to surface runoff and subsurface drainage.

R W McDowell1, A N Sharpley

  • 1USDA-ARS, Pasture Systems and Watershed Management Research Unit, Curtin Road, Building 3702, University Park, PA 16802-3702, USA.

Journal of Environmental Quality
|April 5, 2001
PubMed
Summary

Excess phosphorus in soil increases runoff, prompting nutrient management strategies. This study identifies critical soil phosphorus levels to predict runoff and drainage, aiding environmental management.

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Area of Science:

  • Soil Science
  • Environmental Chemistry
  • Agricultural Science

Background:

  • Excessive phosphorus application raises soil and runoff phosphorus concentrations.
  • Current data is insufficient for robust phosphorus-based nutrient management guidelines.
  • Soil test phosphorus (STP) levels are critical for predicting phosphorus loss.

Purpose of the Study:

  • Investigate phosphorus release from surface soils.
  • Relate surface soil phosphorus to runoff and subsurface drainage concentrations.
  • Identify critical soil test phosphorus thresholds for environmental management.

Main Methods:

  • Analyzed phosphorus release from UK and US soils (Denbigh, Alvin, Berks, Calvin, Watson).
  • Used Olsen and Mehlich-3 extraction methods for soil phosphorus.

Related Experiment Videos

  • Correlated water/CaCl2-extractable soil P with STP and P concentrations in runoff and drainage.

    • Main Results:

    • Identified change points in STP for phosphorus release in different soil types.
    • Established significant relationships between soil test phosphorus and runoff/subsurface drainage P.
    • Achieved high R-squared values (0.82-0.92) for predicting P in water samples using soil extraction methods.

    Conclusions:

    • Water and CaCl2 extractions effectively estimate surface runoff and subsurface drainage phosphorus.
    • Determining STP change points supports agricultural and environmental phosphorus management.
    • Findings provide crucial data for developing effective P-based nutrient management strategies.