Articles | Volume 29, issue 6
https://doi.org/10.5194/hess-29-1759-2025
https://doi.org/10.5194/hess-29-1759-2025
Research article
 | 
28 Mar 2025
Research article |  | 28 Mar 2025

From hydraulic root architecture models to efficient macroscopic sink terms including perirhizal resistance: quantifying accuracy and computational speed

Daniel Leitner, Andrea Schnepf, and Jan Vanderborght

Related authors

In silico analysis of carbon stabilisation by plant and soil microbes for different weather scenarios
Mona Giraud, Ahmet Kürşad Sırcan, Thilo Streck, Daniel Leitner, Guillaume Lobet, Holger Pagel, and Andrea Schnepf
EGUsphere, https://doi.org/10.5194/egusphere-2025-572,https://doi.org/10.5194/egusphere-2025-572, 2025
This preprint is open for discussion and under review for SOIL (SOIL).
Short summary

Related subject area

Subject: Vadose Zone Hydrology | Techniques and Approaches: Modelling approaches
Quantifying the potential of using Soil Moisture Active Passive (SMAP) soil moisture variability to predict subsurface water dynamics
Aruna Kumar Nayak, Xiaoyong Xu, Steven K. Frey, Omar Khader, Andre R. Erler, David R. Lapen, Hazen A. J. Russell, and Edward A. Sudicky
Hydrol. Earth Syst. Sci., 29, 215–244, https://doi.org/10.5194/hess-29-215-2025,https://doi.org/10.5194/hess-29-215-2025, 2025
Short summary
Modeling 2D gravity-driven flow in unsaturated porous media for different infiltration rates
Jakub Kmec and Miloslav Šír
Hydrol. Earth Syst. Sci., 28, 4947–4970, https://doi.org/10.5194/hess-28-4947-2024,https://doi.org/10.5194/hess-28-4947-2024, 2024
Short summary
Quantitative soil characterization using frequency domain electromagnetic induction method in heterogeneous fields
Gaston Matias Mendoza Veirana, Guillaume Blanchy, Ellen Van De Vijver, Jeroen Verhegge, Wim Cornelis, and Philippe De Smedt
EGUsphere, https://doi.org/10.5194/egusphere-2024-2693,https://doi.org/10.5194/egusphere-2024-2693, 2024
Short summary
Mesoscale permeability variations estimated from natural airflows in the decorated Cosquer Cave (southeastern France)
Hugo Pellet, Bruno Arfib, Pierre Henry, Stéphanie Touron, and Ghislain Gassier
Hydrol. Earth Syst. Sci., 28, 4035–4057, https://doi.org/10.5194/hess-28-4035-2024,https://doi.org/10.5194/hess-28-4035-2024, 2024
Short summary
Cold Climates, Complex Hydrology: Can A Land Surface Model Accurately Simulate Deep Percolation?
Alireza Amani, Marie-Amélie Boucher, Alexandre R. Cabral, Vincent Vionnet, and Étienne Gaborit
EGUsphere, https://doi.org/10.5194/egusphere-2024-1277,https://doi.org/10.5194/egusphere-2024-1277, 2024
Short summary

Cited articles

Baca Cabrera, J. C., Vanderborght, J., Boursiac, Y., Behrend, D., Gaiser, T., Nguyen, T. H., and Lobet, G.: The evolution of root hydraulic traits in wheat over 100 years of breeding, bioRxiv [data set], https://doi.org/10.1101/2024.10.10.617660, 2024. a
Barba, L. A.: Defining the Role of Open Source Software in Research Reproducibility, Computer, 55, 40–48, https://doi.org/10.1109/MC.2022.3177133, 2022. a
Couvreur, V., Vanderborght, J., and Javaux, M.: A simple three-dimensional macroscopic root water uptake model based on the hydraulic architecture approach, Hydrol. Earth Syst. Sci., 16, 2957–2971, https://doi.org/10.5194/hess-16-2957-2012, 2012. a, b, c
Couvreur, V., Vanderborght, J., Beff, L., and Javaux, M.: Horizontal soil water potential heterogeneity: simplifying approaches for crop water dynamics models, Hydrol. Earth Syst. Sci., 18, 1723–1743, https://doi.org/10.5194/hess-18-1723-2014, 2014. a, b, c
Couvreur, V., Faget, M., Lobet, G., Javaux, M., Chaumont, F., and Draye, X.: Going with the flow: multiscale insights into the composite nature of water transport in roots, Plant Physiol., 178, 1689–1703, 2018. a
Download
Short summary
Root water uptake strongly affects plant development and soil water balance. We use novel upscaling methods to develop land surface and crop models from detailed mechanistic models. We examine the mathematics behind this upscaling, pinpointing where errors occur. By simulating different crops and soils, we found that the accuracy loss varies based on root architecture and soil type. Our findings offer insights into balancing model complexity and accuracy for better predictions in agriculture.
Share