[1454] - Monitoring of root systems at the field scale by means of electrical impedance tomography: a numerical feasibility study

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Citation
van Treeck, S., Weigand, M., Kemna, A., 2016. Monitoring of root systems at the field scale by means of electrical impedance tomography: a numerical feasibility study. Jahrestagung der DGG und AEF, March 14 - 17, 2016, Münster. Accessed from https://www.tr32db.uni-koeln.de/data.php?dataID=1454 at 2020-10-30.
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Identification
Title(s):Main Title: Monitoring of root systems at the field scale by means of electrical impedance tomography: a numerical feasibility study
Description(s):Abstract: The root system is an important component of the biosphere, linking the soil to the vegetation-atmosphere environment. To improve crop breeding, production and management, it is essential to gain a better understanding of root-soil interactions and associated processes. Here, root architecture, growth and activity play a key role. Measurement methods capable of imaging, characterizing and monitoring root structure and dynamics in a non-invasive manner are still lacking, in particular for field-scale investigations. Previous laboratory studies on crop root systems using electrical impedance tomography (EIT) provided first insights into the possible monitoring of root system extension and root physiological processes. EIT utilises low-frequency impedance measurements to image the spatial distribution of electrical conduction and polarisation properties, for example in terms of real and imaginary conductivity. The previous studies have indicated that the real conductivity is primarily sensitive to water content changes in the rhizosphere, while imaginary conductivity, originating from polarisation processes around and within individual root segments, captures information on root mass, root length and root activity. We therefore hypothesise that EIT can be used to image the spatial delineation of root systems as well as to monitor root physiological processes. With a view to establishing EIT as a tool for root system characterisation and monitoring at the field scale, we here present a numerical feasibility study focusing on achievable image resolution of the approach. Synthetic complex conductivity models representing a field with a sequence of crop root systems were generated employing varying electrical model parameterisations. The latter were adapted from available laboratory and field data to simulate realistic scenarios. Synthetic EIT measurements were then computed, contaminated with noise and subsequently inverted by means of finite-element based forward modelling and inversion codes. The imaging capability is assessed by comparing original and reconstructed complex conductivity models. Our results demonstrate that, for the considered model parameterisations, EIT image resolution is sufficient to delineate the extension of root systems of individual plants. The simulation results will be essential for improving survey design and measurement configurations in planned field experiments, which are currently in the implementation phase.
Responsible Party
Creator(s):Author: Shari van Treeck
Resource Provider: Maximilian Weigand
Principal Investigator: Andreas Kemna
Publisher:Jahrestagung der DGG und AEF 2016, Münster
Topic
TR32 Topic:Soil
Related Sub-project(s):B6
Subject(s):CRC/TR32 Keywords: EIT, Geophysics, Field Scale, Soil-Plant Interaction
File Details
File Name:SvT_DGG_Poster.pdf
Data Type:Text
File Size:603 kB (0.589 MB)
Date(s):Available: 2016-03-14
Mime Type:application/pdf
Data Format:PDF
Language:English
Status:Completed
Constraints
Download Permission:OnlyTR32
General Access and Use Conditions:According to the TR32DB data policy agreement.
Access Limitations:According to the TR32DB data policy agreement.
Licence:TR32DB Data policy agreement
Geographic
North:-no map data
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South:-
West:-
Measurement Region:Ellebach
Measurement Location:Selhausen
Specific Informations - Presentation
Presenter:Shari van Treeck
Presentation Date:2016-03-15
Presentation Type:Poster
Event Name:Jahrestagung der DGG und AEF
Event Type:Conference
Event Location:Münster
Event Period:14th of March, 2016 - 17th of March, 2016
Metadata Details
Metadata Creator:Shari van Treeck
Metadata Created:2016-05-02
Metadata Last Updated:2016-05-02
Subproject:B6
Funding Phase:3
Metadata Language:English
Metadata Version:V41
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Page Visits:357
Metadata Downloads:0
Dataset Downloads:2
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