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An efficient three-dimensional rhizosphere modeling capability to study the effect of root system architecture on soil water and reactive transport
An efficient three-dimensional rhizosphere modeling capability to study the effect of root system architecture on soil water and reactive transport
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An efficient three-dimensional rhizosphere modeling capability to study the effect of root system architecture on soil water and reactive transport
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An efficient three-dimensional rhizosphere modeling capability to study the effect of root system architecture on soil water and reactive transport
An efficient three-dimensional rhizosphere modeling capability to study the effect of root system architecture on soil water and reactive transport

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An efficient three-dimensional rhizosphere modeling capability to study the effect of root system architecture on soil water and reactive transport
An efficient three-dimensional rhizosphere modeling capability to study the effect of root system architecture on soil water and reactive transport
Journal Article

An efficient three-dimensional rhizosphere modeling capability to study the effect of root system architecture on soil water and reactive transport

2019
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Overview
Aims The objective of this research was to develop a three-dimensional (3D) rhizosphere modeling capability for plant-soil interactions by integrating plant biophysics, water and ion uptake and release from individual roots, variably saturated flow, and multicomponent reactive transport in soil. Methods We combined open source software for simulating plant and soil interactions with parallel computing technology to address highly-resolved root system architecture (RSA) and coupled hydrobiogeochemical processes in soil. The new simulation capability was demonstrated on a model grass, Brachypodium distachyon . Results In our simulation, the availability of water and nutrients for root uptake is controlled by the interplay between 1) transpiration-driven cycles of water uptake, root zone saturation and desaturation; 2) hydraulic redistribution; 3) multicomponent competitive ion exchange; 4) buildup of ions not taken up during kinetic nutrient uptake; and 5) advection, dispersion, and diffusion of ions in the soil. The uptake of water and ions by individual roots leads to dynamic, local gradients in ion concentrations. Conclusion By integrating the processes that control the fluxes of water and nutrients in the rhizosphere, the modeling capability we developed will enable exploration of alternative RSAs and function to advance the understanding of the coupled hydro-biogeochemical processes within the rhizosphere.