Articles | Volume 27, issue 12
https://doi.org/10.5194/hess-27-2341-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-27-2341-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
29 Jun 2023
Research article |
| 29 Jun 2023
| 29 Jun 2023
Dynamic root growth in response to depth-varying soil moisture availability: a rhizobox study
Cynthia Maan
CORRESPONDING AUTHOR
Geoscience and Remote Sensing, Delft University of Technology, Stevinweg 1, 2628 CN Delft, the Netherlands
Institute for Biodiversity and Ecosystem Dynamics, University of Amsterdam, Sciencepark 904, 1098 XH Amsterdam, the Netherlands
Marie-Claire ten Veldhuis
Geoscience and Remote Sensing, Delft University of Technology, Stevinweg 1, 2628 CN Delft, the Netherlands
Bas J. H. van de Wiel
Geoscience and Remote Sensing, Delft University of Technology, Stevinweg 1, 2628 CN Delft, the Netherlands
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Cited
17 citations as recorded by crossref.
- Biochar and Soil Water Synergistically Regulating Root Growth to Affect Photosynthesis in Maize (Zea mays L.) C. Gao et al. https://doi.org/10.3390/agronomy15092170
- Initial growth of Megathyrsus maximus cv. Massai grass biostimulated with Burkholderia pyrrocinia at different sowing depths L. Moraes et al. https://doi.org/10.4025/actascianimsci.v47i1.71885
- Influence of irrigation on root zone storage capacity estimation F. van Oorschot et al. https://doi.org/10.5194/hess-28-2313-2024
- Optimising root pruning responses in mature Platanus x acerifolia trees A. Benson & J. Morgenroth https://doi.org/10.1016/j.ufug.2025.129103
- Root zone in the Earth system H. Gao et al. https://doi.org/10.5194/hess-28-4477-2024
- A guide to observing, recording and image analysis of spatial root distribution and root growth in the rhizobox S. TAMARU et al. https://doi.org/10.3117/rootres.34.37
- From mechanistic-driven to data-driven: A review of the evolution of crop models L. Zheng et al. https://doi.org/10.1016/j.atech.2025.101699
- Magneto-priming for Rice: Mechanisms, Agronomic Benefits, and Sustainability Potential A. Ibrahim et al. https://doi.org/10.1007/s10343-025-01285-8
- Spatiotemporal evolution of vegetation-soil moisture coupling depth and strength in natural and planted forests in China Y. Zhao et al. https://doi.org/10.1016/j.agrformet.2026.111249
- Advancing drought monitoring with a three-dimensional feature space framework M. Cheng et al. https://doi.org/10.1016/j.jhydrol.2026.135781
- A self-calibration algorithm for soil moisture sensors using deep learning D. Aranda Britez et al. https://doi.org/10.1007/s10489-024-05921-0
- Explainable Quantile CNN-LSTM model for uncertainty-aware multi-layer soil moisture prediction in tropical cocoa plantations S. Shawon et al. https://doi.org/10.1038/s41598-026-48517-z
- Sustainable Management of Poly- and Perfluoroalkyl Substances (PFASs)-Contaminated Areas: Tackling a Wicked Environmental Problem G. Renella et al. https://doi.org/10.3390/su17020510
- Global patterns in vegetation accessible subsurface water storage emerge from spatially varying importance of individual drivers F. van Oorschot et al. https://doi.org/10.1088/1748-9326/ad8805
- Soil Moisture Prediction for Intelligent Irrigation: An XGBoost-based Model with Multi-Dimensional Feature Engineering J. Liang https://doi.org/10.54691/kkftyy94
- From soil to stream: modeling the catchment-scale hydrological effects of increased soil organic carbon M. Heinz et al. https://doi.org/10.5194/hess-30-2879-2026
- UAV-Based Remote Sensing to Evaluate Daily Water Demand Characteristics of Maize: A Case Study from Yuci Lifang Organic Dry Farming Experimental Base in Jinzhong City, China Y. Li et al. https://doi.org/10.3390/agronomy14040729
17 citations as recorded by crossref.
- Biochar and Soil Water Synergistically Regulating Root Growth to Affect Photosynthesis in Maize (Zea mays L.) C. Gao et al. https://doi.org/10.3390/agronomy15092170
- Initial growth of Megathyrsus maximus cv. Massai grass biostimulated with Burkholderia pyrrocinia at different sowing depths L. Moraes et al. https://doi.org/10.4025/actascianimsci.v47i1.71885
- Influence of irrigation on root zone storage capacity estimation F. van Oorschot et al. https://doi.org/10.5194/hess-28-2313-2024
- Optimising root pruning responses in mature Platanus x acerifolia trees A. Benson & J. Morgenroth https://doi.org/10.1016/j.ufug.2025.129103
- Root zone in the Earth system H. Gao et al. https://doi.org/10.5194/hess-28-4477-2024
- A guide to observing, recording and image analysis of spatial root distribution and root growth in the rhizobox S. TAMARU et al. https://doi.org/10.3117/rootres.34.37
- From mechanistic-driven to data-driven: A review of the evolution of crop models L. Zheng et al. https://doi.org/10.1016/j.atech.2025.101699
- Magneto-priming for Rice: Mechanisms, Agronomic Benefits, and Sustainability Potential A. Ibrahim et al. https://doi.org/10.1007/s10343-025-01285-8
- Spatiotemporal evolution of vegetation-soil moisture coupling depth and strength in natural and planted forests in China Y. Zhao et al. https://doi.org/10.1016/j.agrformet.2026.111249
- Advancing drought monitoring with a three-dimensional feature space framework M. Cheng et al. https://doi.org/10.1016/j.jhydrol.2026.135781
- A self-calibration algorithm for soil moisture sensors using deep learning D. Aranda Britez et al. https://doi.org/10.1007/s10489-024-05921-0
- Explainable Quantile CNN-LSTM model for uncertainty-aware multi-layer soil moisture prediction in tropical cocoa plantations S. Shawon et al. https://doi.org/10.1038/s41598-026-48517-z
- Sustainable Management of Poly- and Perfluoroalkyl Substances (PFASs)-Contaminated Areas: Tackling a Wicked Environmental Problem G. Renella et al. https://doi.org/10.3390/su17020510
- Global patterns in vegetation accessible subsurface water storage emerge from spatially varying importance of individual drivers F. van Oorschot et al. https://doi.org/10.1088/1748-9326/ad8805
- Soil Moisture Prediction for Intelligent Irrigation: An XGBoost-based Model with Multi-Dimensional Feature Engineering J. Liang https://doi.org/10.54691/kkftyy94
- From soil to stream: modeling the catchment-scale hydrological effects of increased soil organic carbon M. Heinz et al. https://doi.org/10.5194/hess-30-2879-2026
- UAV-Based Remote Sensing to Evaluate Daily Water Demand Characteristics of Maize: A Case Study from Yuci Lifang Organic Dry Farming Experimental Base in Jinzhong City, China Y. Li et al. https://doi.org/10.3390/agronomy14040729
Saved (final revised paper)
Latest update: 05 Jun 2026
Short summary
Their flexible growth provides the plants with a strong ability to adapt and develop resilience to droughts and climate change. But this adaptability is badly included in crop and climate models. To model plant development in changing environments, we need to include the survival strategies of plants. Based on experimental data, we set up a simple model for soil-moisture-driven root growth. The model performance suggests that soil moisture is a key parameter determining root growth.
Their flexible growth provides the plants with a strong ability to adapt and develop resilience...
