[1881] - Quantification of Root Length Density at the Field Scale with Electrical Impedance Tomography: A Numerical Feasibility Study based on Laboratory and Field Data

All available metadata of the dataset is listed below. Some features are available, e.g. download of dataset or additional description file.

By downloading files from this dataset you accept the license terms of TR32DB Data policy agreement and TR32DBData Protection Statement.
Adequate reference when this dataset will be discussed or used in any publication or presentation is mandatory. In this case please contact the dataset creator.
VERY IMPORTANT!
Due to the speed of the filesystem and depending on the size of the archive and the file to be extracted, it may take up to thirty (!) minutes until a download is ready! Beware of that when confirming since you may not close the tab because otherwise, you will not get your file!
Features
Citation
van Treeck, S., Kemna, A., Budler, J., Weigand, M., Huisman, J. A., 2019. Quantification of Root Length Density at the Field Scale with Electrical Impedance Tomography: A Numerical Feasibility Study based on Laboratory and Field Data. EGU General Assembly 2019, April 07 - 12, 2019, Vienna. Accessed from https://www.tr32db.uni-koeln.de/data.php?dataID=1881 at 2019-10-19.
Citation Options
Export as: Select the file format for your download.Citation style: Select the displayed citation style.
Identification
Title(s):Main Title: Quantification of Root Length Density at the Field Scale with Electrical Impedance Tomography: A Numerical Feasibility Study based on Laboratory and Field Data
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), which utilizes low-frequency impedance measurements to image the complex electrical conductivity distribution, provided first insights into the possible monitoring of root system extension and root physiological processes. With a view to establishing EIT as a tool for root system characterization and monitoring at the field scale, we here present a numerical feasibility study. Synthetic 2D complex conductivity models representing a field with crop root systems were generated based on available laboratory and field data, comprising root length density (RLD), soil complex conductivity and water content, to simulate realistic scenarios. Here, the effective soil-root complex conductivity was computed from the individual soil and root complex conductivities via power-law mixing, incorporating the volumetric fraction of roots (determined from RLD based on an appropriately chosen root diameter) and an empirical parameter $\alpha$. The latter is assumed to depend on root architecture and the direction of current flow, resulting in different values of $\alpha$ for the effective complex conductivity in horizontal and vertical directions and thus an anisotropic final model. Synthetic EIT measurements were then computed using a 2.5D anisotropic complex conductivity modelling code, contaminated with noise and subsequently inverted by means of a tomographic inversion code which assumed isotropic complex conductivities (as commonly used). The imaging capability is assessed by comparing original and reconstructed complex conductivity models respectively RLD models. Our results demonstrate that EIT can reconstruct the original distributions quite well but underestimates RLD values at larger depths ($>$60cm). The study shows that EIT is a promising method for quantification of root length density at the field scale if a model for the upscaling of the individual soil and root complex conductivities has been established and calibrated.
Responsible Party
Creator(s):Author: Shari van Treeck
Principal Investigator: Andreas Kemna
Author: Jasmin Budler
Resource Provider: Maximilian Weigand
Principal Investigator: Johan A. Huisman
Publisher:CRC/TR32 Database (TR32DB)
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_EGU_2019.pdf
Data Type:Text
File Size:13108 kB (12.801 MB)
Date(s):Available: 2019-04-12
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
East:-
South:-
West:-
Measurement Region:Ellebach
Measurement Location:Selhausen
Specific Informations - Presentation
Presenter:Shari van Treeck
Presentation Date:2019-04-12
Presentation Type:Other
Event Name:EGU General Assembly 2019
Event Type:Conference
Event Location:Vienna
Event Period:7th of April, 2019 - 12th of April, 2019
Event Url:https://egu2019.eu/
Metadata Details
Metadata Creator:Shari van Treeck
Metadata Created:2019-04-23
Metadata Last Updated:2019-04-26
Subproject:B6
Funding Phase:3
Metadata Language:English
Metadata Version:V43
Metadata Export
Metadata Export:
Select the XML download format.
Dataset Metrics
Page Visits:128
Metadata Downloads:0
Dataset Downloads:0
Dataset Activity
Features