Simultaneous Quantification of Soil Phosphorus Labile Pool and Desorption Kinetics Using DGTs and 3D-DIFS

薄膜中的扩散梯度 土壤水分 解吸 化学 环境化学 动力学 营养物 不稳定性 土壤科学 环境科学 吸附 有机化学 物理 量子力学 生物化学
作者
Daniel Menezes‐Blackburn,Jiahui Sun,Niklas J. Lehto,Hao Zhang,Marc Stutter,Courtney D. Giles,Tegan Darch,Timothy George,Charles A. Shand,David G. Lumsdon,M. S. A. Blackwell,Catherine Wearing,Patricia Cooper,Renate Wendler,Lawrie K. Brown,Mohammed Alkasbi,P. M. Haygarth
出处
期刊:Environmental Science & Technology [American Chemical Society]
卷期号:53 (12): 6718-6728 被引量:26
标识
DOI:10.1021/acs.est.9b00320
摘要

The buffering of phosphorus concentrations in soil solution by the soil-solid phase is an important process for providing plant root access to nutrients. Accordingly, the size of labile solid phase-bound phosphorus pool and the rate at which it can resupply phosphorous into the dissolved phase can be important variables in determining when the plant availability of the nutrient may be limited. The phosphorus labile pool (Plabile) and its desorption kinetics were simultaneously evaluated in 10 agricultural UK soils using the diffusive gradients in thin-films (DGT) technique. The DGT-induced fluxes in the soil and sediments model (DIFS) was fitted to the time series of DGT deployments (1–240 h), which allowed the estimation of Plabile, and the system response time (Tc). The Plabile concentration was then compared to that obtained by several soil P extracts including Olsen P, FeO-P, and water extractable P, in order to assess if the data from these analytical procedures can be used to represent the labile P across different soils. The Olsen P concentration, commonly used as a representation of the soil labile P pool, overestimated the desorbable P concentration by 6-fold. The use of this approach for the quantification of soil P desorption kinetic parameters found a wide range of equally valid solutions for Tc. Additionally, the performance of different DIFS model versions working in different dimensions (1D, 2D, and 3D) was compared. Although all models could provide a good fit to the experimental DGT time series data, the fitted parameters showed a poor agreement between different model versions. The limitations of the DIFS model family are associated with the assumptions taken in the modeling approach and the three-dimensional (3D) version is here considered to be the most precise among them.
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