Articles | Volume 20, issue 12
https://doi.org/10.5194/hess-20-4775-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-20-4775-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
05 Dec 2016
Research article |
| 05 Dec 2016
The evolution of root-zone moisture capacities after deforestation: a step towards hydrological predictions under change?
Water Resources Section, Faculty of Civil Engineering and Geosciences,
Delft University of Technology, Stevinweg 1, 2628 CN Delft, the Netherlands
Christopher Hutton
Department of Civil Engineering, University of Bristol, Bristol, UK
Ilias Pechlivanidis
Swedish Meteorological and Hydrological Institute (SMHI),
Norrköping, Sweden
René Capell
Swedish Meteorological and Hydrological Institute (SMHI),
Norrköping, Sweden
Berit Arheimer
Swedish Meteorological and Hydrological Institute (SMHI),
Norrköping, Sweden
Jim Freer
Department of Civil Engineering, University of Bristol, Bristol, UK
Cabot Institute, University of Bristol, Bristol, UK
Dawei Han
Department of Civil Engineering, University of Bristol, Bristol, UK
Thorsten Wagener
Department of Civil Engineering, University of Bristol, Bristol, UK
Cabot Institute, University of Bristol, Bristol, UK
Kevin McGuire
Virginia Water Resources Research Center and Department of Forest
Resources and Environmental Conservation, Virginia Tech, Blacksburg, VA, USA
Hubert Savenije
Water Resources Section, Faculty of Civil Engineering and Geosciences,
Delft University of Technology, Stevinweg 1, 2628 CN Delft, the Netherlands
Markus Hrachowitz
Water Resources Section, Faculty of Civil Engineering and Geosciences,
Delft University of Technology, Stevinweg 1, 2628 CN Delft, the Netherlands
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- Detecting Changes in River Flow Caused by Wildfires, Storms, Urbanization, Regulation, and Climate Across Sweden B. Arheimer & G. Lindström 10.1029/2019WR024759
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- Reduction of vegetation-accessible water storage capacity after deforestation affects catchment travel time distributions and increases young water fractions in a headwater catchment M. Hrachowitz et al. 10.5194/hess-25-4887-2021
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- Response of active catchment water storage capacity to a prolonged meteorological drought and asymptotic climate variation J. Tian et al. 10.5194/hess-26-4853-2022
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- Multi-fold increase in rainforest tipping risk beyond 1.5–2 °C warming C. Singh et al. 10.5194/esd-15-1543-2024
- A Prior Estimation of the Spatial Distribution Parameter of Soil Moisture Storage Capacity Using Satellite-Based Root-Zone Soil Moisture Data Y. Tian et al. 10.3390/rs11212580
- Catchment response to climatic variability: implications for root zone storage and streamflow predictions N. Tempel et al. 10.5194/hess-28-4577-2024
- Multi-decadal fluctuations in root zone storage capacity through vegetation adaptation to hydro-climatic variability have minor effects on the hydrological response in the Neckar River basin, Germany S. Wang et al. 10.5194/hess-28-4011-2024
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- Detecting changes in water level caused by climate, land cover and dam construction in interconnected river−lake systems J. Liang et al. 10.1016/j.scitotenv.2021.147692
- HESS Opinions: Are soils overrated in hydrology? H. Gao et al. 10.5194/hess-27-2607-2023
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- Sensitivity of forest water balance and physiological drought predictions to soil and vegetation parameters – A model-based study M. Speich et al. 10.1016/j.envsoft.2018.01.016
- An Approach to Evaluate Mountain Forest Protection and Management as a Means for Flood Mitigation J. Rüegg et al. 10.3389/ffgc.2022.785740
- WAYS v1: a hydrological model for root zone water storage simulation on a global scale G. Mao & J. Liu 10.5194/gmd-12-5267-2019
- Alignment of tree phenology and climate seasonality influences the runoff response to forest cover loss J. Knighton et al. 10.1088/1748-9326/abaad9
Latest update: 24 Apr 2025
Short summary
The core component of many hydrological systems, the moisture storage capacity available to vegetation, is typically treated as a calibration parameter in hydrological models and often considered to remain constant in time. In this paper we test the potential of a recently introduced method to robustly estimate catchment-scale root-zone storage capacities exclusively based on climate data to reproduce the temporal evolution of root-zone storage under change (deforestation).
The core component of many hydrological systems, the moisture storage capacity available to...
