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Measuring Phosphorus Release in Laboratory Microcosms for Water Quality Assessment
Published on: July 22, 2019
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Approximating Phosphorus Leaching from Agricultural Organic Soils by Soil Testing
Journal of Environmental Quality
|December 8, 2015
Summary
Excess phosphorus in organic soils can enrich subsurface flow, leading to water pollution. Certain soil tests, particularly those measuring phosphorus saturation, effectively predict this dissolved reactive phosphorus (DRP) loss from muck soils.
Area of Science:
- Soil Science
- Environmental Chemistry
- Agronomy
Background:
- Intensive agriculture on organic (muck) soils can lead to phosphorus (P) enrichment in subsurface flow.
- This P loss pathway contributes significantly to surface water eutrophication.
- Existing soil P tests, developed for mineral soils, may not accurately predict P loss from organic soils.
Purpose of the Study:
- To evaluate the effectiveness of various soil P tests in predicting dissolved reactive phosphorus (DRP) in subsurface flow from Ontario's organic soils.
- To identify reliable environmental risk indicators for P loss in these vulnerable agricultural systems.
Main Methods:
- Collected intact soil columns from 44 diverse muck soil sites.
- Conducted a lysimeter leaching study simulating rainfall events.
- Analyzed leachate for DRP concentration and correlated it with results from multiple soil P extraction methods and P sorption indices (PSI).
Main Results:
- Leachate DRP concentration showed strong linear correlations with soil water-extractable P and CaCl-extractable P.
- Degree of P saturation (DPS) indices, particularly Bray-1 P/PSI and FeO-P/PSI, exhibited the highest correlations with leachate DRP.
- Standard agronomic tests like Mehlich-3 P and Olsen P were not effective predictors of DRP loss.
Conclusions:
- Specific P sorption-based indices (DPS) are superior predictors of DRP subsurface loss from organic soils compared to standard agronomic tests.
- These PSI-based DPS indices offer a practical and economical approach for environmental risk assessment, aligning with agronomic P calibration needs.
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