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Updated: Jan 25, 2026

Two-Dimensional Visualization and Quantification of Labile, Inorganic Plant Nutrients and Contaminants in Soil
Published on: September 1, 2020
Simultaneous Quantification of Soil Phosphorus Labile Pool and Desorption Kinetics Using DGTs and 3D-DIFS
Daniel Menezes-Blackburn1,2, Jiahui Sun2, Niklas J Lehto3
1Department of Soils, Water and Agricultural Engineering, CAMS , Sultan Qaboos University , PO Box 34, Al-khod 123 , Sultanate of Oman.
The diffusive gradients in thin-films (DGT) technique accurately measures labile phosphorus (P) in soils. Traditional methods like Olsen P overestimate soil P availability, highlighting DGT
Area of Science:
- Soil Science
- Environmental Chemistry
- Plant Nutrition
Background:
- Soil phosphorus (P) buffering by the solid phase is crucial for plant nutrient access.
- The labile solid-phase P pool and its resupply rate dictate nutrient availability.
- Understanding P dynamics is key to managing soil fertility and crop yields.
Purpose of the Study:
- To evaluate the labile phosphorus pool (Plabile) and desorption kinetics in UK agricultural soils.
- To compare DGT-derived Plabile with conventional soil P extraction methods.
- To assess the performance of different DGT-induced fluxes in the soil and sediments (DIFS) model versions.
Main Methods:
- Utilized the diffusive gradients in thin-films (DGT) technique to measure Plabile and desorption kinetics.
- Applied the DGT-induced fluxes in the soil and sediments (DIFS) model to time-series DGT data (1-240 h).
- Compared DGT-derived Plabile with Olsen P, FeO-P, and water-extractable P.
Main Results:
- Olsen P overestimated desorbable P by six-fold compared to DGT.
- DGT and DIFS modeling provided estimates of Plabile and system response time (Tc).
- Different DIFS model dimensions (1D, 2D, 3D) showed good fits but poor parameter agreement; 3D was most precise.
Conclusions:
- DGT is a more accurate method for assessing labile soil phosphorus than conventional extracts like Olsen P.
- The DIFS model requires careful consideration of assumptions and dimensionality for reliable kinetic parameterization.
- Accurate labile P quantification is essential for understanding nutrient limitations in agricultural soils.
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