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Updated: Mar 11, 2026

Two-Dimensional Visualization and Quantification of Labile, Inorganic Plant Nutrients and Contaminants in Soil
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How to put plant root uptake into a soil water flow model: A documentation with complete computer code.

Xuejun Dong1,2

  • 1North Dakota State University, Central Grassland Research Extension Center, Streeter, USA.

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PubMed
Summary

This study enhances crop water modeling by incorporating dynamic root growth and water uptake. The improved model simulates plant transpiration under water stress, aiding in water use efficiency research.

Keywords:
Computer simulationRichards’ equationRoot growthSoil water balanceTranspirationUptake compensationWater stress

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Area of Science:

  • Agricultural Science
  • Environmental Science
  • Computational Modeling

Background:

  • Improving crop water use efficiency is crucial for sustainable agriculture.
  • Existing models often lack detailed representation of root water uptake mechanisms.
  • Plant responses to water stress and soil conditions require more sophisticated simulation tools.

Purpose of the Study:

  • To modify a soil water model to include dynamic root growth and non-uniform water uptake.
  • To simulate the effects of water stress on plant transpiration and root water uptake.
  • To develop strategies for estimating root distribution and rooting depth parameters.

Main Methods:

  • Enhanced a soil infiltration and redistribution model.
  • Incorporated dynamic root growth and non-uniform root distribution.
  • Modeled water stress effects on plant water uptake and soil evaporation.
  • Utilized a simulation-based searching method for parameter estimation.

Main Results:

  • The modified model successfully simulates soil water dynamics and plant transpiration.
  • Demonstrated flexibility in simulating compensated uptake under mild water stress.
  • Showcased methods for estimating root distribution and rooting depth.

Conclusions:

  • The enhanced model provides a flexible platform for studying root water uptake and regulation.
  • The model aids in understanding plant responses to varying soil moisture conditions.
  • Further applications and development are facilitated by the documented computer code.