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Related Experiment Video

Updated: Oct 12, 2025

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon

Published on: October 16, 2018

Investigating Soil-Root Interactions with the Numerical Model R-SWMS.

Félicien Meunier¹, Valentin Couvreur¹, Xavier Draye¹

¹Earth and Life Institute/Environmental Sciences, Université catholique de Louvain, Louvain, Belgium.

Methods in Molecular Biology (Clifton, N.J.)

|November 25, 2021

Summary

The R-SWMS model simulates soil-plant water flow and solute transport. Combining in vivo and in silico methods, it decrypts water movement in the soil-root domain, validating findings with experimental data.

Keywords:

Functional–structural plant model Root hydraulics Root model Soil model Systems biology Water flow

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Last Updated: Oct 12, 2025

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon

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Published on: October 16, 2018

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Published on: March 26, 2019

In Situ Soil Moisture Sensors in Undisturbed Soils

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Published on: November 18, 2022

Area of Science:

Environmental science
Soil science
Plant physiology

Background:

Understanding water movement in the soil-plant system is crucial for agriculture and environmental management.
Accurate simulation of water flow and solute transport requires integrated models considering root system architecture and soil properties.

Purpose of the Study:

To present the Root and Soil Water Movement and Solute transport model (R-SWMS) for simulating soil-plant water dynamics.
To combine in vivo and in silico experiments for decrypting water flow in the soil-root domain.
To validate the R-SWMS model using experimental data and estimate unmeasured variables.

Main Methods:

Developed the R-SWMS model with numerical solutions for water flow and solute transport equations in soil-root systems.
Utilized light transmission imaging to obtain root system architecture, soil hydraulic properties, and environmental conditions.
Set theoretical root hydraulic properties based on existing literature.

Main Results:

Validated R-SWMS by comparing simulated and experimental water content distributions.
Successfully estimated unmeasured variables, including actual root water uptake distribution and xylem water potential.
Demonstrated the model's capability to integrate experimental data for in-depth analysis of soil-root water dynamics.

Conclusions:

The R-SWMS model provides a robust framework for simulating water flow and solute transport in soil-root systems.
The integration of experimental data with the R-SWMS model enhances our understanding of water movement at the soil-root interface.
R-SWMS facilitates the estimation of critical parameters not easily accessible through direct experimentation.