Characterizing root system characteristics with Electrical resistivity Tomography: a virtual rhizotron simulation

Rao, Sathyanarayan;Ehosioke, Solomon;Lesparre, Nolwenn;Nguyen, Frédéric;Javaux, Mathieu
(2017) EGU General Assembly — Location: Vienna, Austria (23.April.2017)

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Authors
  • Rao, SathyanarayanUCLouvain
    Author
  • Ehosioke, SolomonApplied Geophysics, University of Liege, Belgium
    Author
  • Lesparre, NolwennApplied Geophysics, University of Liege, Belgium
    Author
  • Nguyen, FrédéricApplied Geophysics, University of Liege, Belgium
    Author
  • Javaux, Mathieuorcid-logoUCLouvain
    Author
Abstract
Electrical Resistivity Tomography (ERT) is more and more used for monitoring soil water content in a cropped soil. Yet, the impact of roots on the signal is often neglected and a topic of controversy. In several studies related to soil-root system, it has been showed that the measured root mass density statistically correlates with the electrical conductivity (EC) data obtained from ERT. In addition, some studies suggest that some roots are more electrically conductive than soil for most water content. Thus, higher EC of roots suggest that it might have a measurable impact on ERT signals.
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Rao, S., Ehosioke, S., Lesparre, N., Nguyen, F., & Javaux, M. (2017). Characterizing root system characteristics with Electrical resistivity Tomography: a virtual rhizotron simulation. Geophysical Research Abstracts, 19, EGU2017-4405. https://hdl.handle.net/2078.5/182432 (Original work published 2017)