Abstract

Functional-structural root architecture models have evolved as tools for the design of improved agricultural management practices and for the selection of optimal root traits. In order to test their accuracy and reliability, we present the first benchmarking of root water uptake from soil using five well-established functional-structural root architecture models: DuMux, CPlantBox, R-SWMS, OpenSimRoot and SRI. The benchmark scenarios include basic tests for water flow in soil and roots as well as advanced tests for the coupled soil-root system. The reference solutions and the solutions of the different simulators are available through Jupyter Notebooks on a GitHub repository. All of the simulators were able to pass the basic tests and continued to perform well in the benchmarks for the coupled soil-plant system. For the advanced tests, we created an overview of the different ways of coupling the soil and the root domains as well as the different methods used to account for rhizosphere resistance to water flow. Although the methods used for coupling and modelling rhizosphere resistance were quite different, all simulators were in reasonably good agreement with the reference solution. During this benchmarking effort, individual simulators were able to learn about their strengths and challenges, while some were even able to improve their code. Some now include the benchmarks as standard tests within their codes. Additional model results may be added to the GitHub repository at any point in the future and will be automatically included in the comparison.

Details

Title
Collaborative benchmarking of functional-structural root architecture models: Quantitative comparison of simulated root water uptake
Author
Schnepf, Andrea 1 ; Black, Christopher K 2 ; Couvreur, Valentin 3 ; Delory, Benjamin M 4 ; Doussan, Claude 5 ; Heymans, Adrien 3 ; Javaux, Mathieu 1 ; Khare, Deepanshu 1 ; Koch, Axelle 6 ; Koch, Timo 7 ; Kuppe, Christian W 8 ; Landl, Magdalena 1 ; Leitner, Daniel 1 ; Lobet, Guillaume 1 ; Meunier, Félicien 9 ; Postma, Johannes A 8 ; Schäfer, Ernst D 2 ; Selzner, Tobias 1 ; Vanderborght, Jan 1 ; Vereecken, Harry 1 

 Forschungszentrum Jülich GmbH, Institute of Bio- and Geosciences – Agrosphere (IBG-3) , 52425 Jülich , Germany 
 Department of Plant Science, The Pennsylvania State University , 102 Tyson Building, University Park PA 16802 , USA 
 Earth and Life Institute, Agronomy, Université catholique de Louvain , Louvain-la-Neuve , Belgium 
 Institute of Ecology, Leuphana University Lüneburg , Universitätsallee 1, 21335 Lüneburg , Germany 
 INRAE, Avignon Université , EMMAH, F-84000 Avignon , France 
 Earth and Life Institute, Environmental Sciences, Université catholique de Louvain , Louvain-la-Neuve , Belgium 
 Department of Mathematics, University of Oslo , Postboks 1053, Blindern, 0316 Oslo , Norway 
 Forschungszentrum Jülich GmbH, Institute of Bio- and Geosciences – Plant Sciences (IBG-2) , 52425 Jülich , Germany 
 CAVElab - Computational and Applied Vegetation Ecology , Ghent University, Ghent, Belgium 
Publication year
2023
Publication date
2023
Publisher
Oxford University Press
e-ISSN
25175025
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3170090096
Copyright
ũ The Author(s) 2023. Published by Oxford University Press. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.