Preprints
https://doi.org/10.5194/egusphere-2026-2518
https://doi.org/10.5194/egusphere-2026-2518
20 May 2026
 | 20 May 2026
Status: this preprint is open for discussion and under review for SOIL (SOIL).

Unified Conversion Equations between Olsen and Mehlich-3 Soil Phosphorus Tests

Zachary P. Simpson, Christopher W. Rogers, Joshua D. Mott, Natalja Čerkasova, Kyle R. Elkin, Robert O. Miller, Carl H. Bolster, Michael J. White, and Peter J. A. Kleinman

Abstract. Methods for soil test phosphorus (STP) differ globally and even within countries. While soil P tests often correlate, the relationship is often specific to a region or study, making any conversion equation difficult to transfer between contexts. Agronomic recommendations, P transport models, syntheses, and other works lack a strong basis for converting between STP. We fulfil this need for converting between two common STP measurements – Olsen P and Mehlich-3 P – through models which account explicitly for soil properties. Hypothesizing that soil properties at the sample level govern how STP values relate, we built models using a combined dataset of ca. 900 soils across the conterminous US and Canada, spanning 10 soil orders (USDA), 3 to 89 % clay, and pH 4 to 9. Model complexity ranged from conventional ‘region-level’ regressions (no soil data) to models adapting to many facets of soil P chemistry, presenting users several viable options suitable for their data context. Depending on data availability, the user could convert between Olsen P and Mehlich-3 P with half the error or less of conventional ‘region-level’ regressions. This reduction in conversion error impacts agronomic recommendations, environmental risk assessments (e.g., P index), and calibration of P transport models (e.g., SWAT+). While it remains best to simply measure the STP of interest, the conversion models here should prove useful in many contexts where that is not feasible. We provide the models in ready-to-use formats, depending on the covariates available to the user and whether the user wants to apply the equations in a spreadsheet or within model code.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this paper. While Copernicus Publications makes every effort to include appropriate place names, the final responsibility lies with the authors. Views expressed in the text are those of the authors and do not necessarily reflect the views of the publisher.
Share
Zachary P. Simpson, Christopher W. Rogers, Joshua D. Mott, Natalja Čerkasova, Kyle R. Elkin, Robert O. Miller, Carl H. Bolster, Michael J. White, and Peter J. A. Kleinman

Status: open (until 02 Jul 2026)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
Zachary P. Simpson, Christopher W. Rogers, Joshua D. Mott, Natalja Čerkasova, Kyle R. Elkin, Robert O. Miller, Carl H. Bolster, Michael J. White, and Peter J. A. Kleinman
Zachary P. Simpson, Christopher W. Rogers, Joshua D. Mott, Natalja Čerkasova, Kyle R. Elkin, Robert O. Miller, Carl H. Bolster, Michael J. White, and Peter J. A. Kleinman
Metrics will be available soon.
Latest update: 23 May 2026
Download
Short summary
Converting between different measurements of soil test phosphorus (P) is frequent but error-prone. We used a dataset of ~900 soils (10 soil orders) to develop robust equations to convert between two common soil test P: Mehlich-3 P and Olsen P. By leveraging properties at the individual soil level, the equations reduce conversion errors by half on average compared to previous equations in the literature. We discuss the benefits for agronomy, P transport models, and more.
Share