Articles | Volume 26, issue 24
https://doi.org/10.5194/hess-26-6289-2022
© Author(s) 2022. 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-26-6289-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
14 Dec 2022
Research article |
| 14 Dec 2022
| 14 Dec 2022
Vegetation optimality explains the convergence of catchments on the Budyko curve
Catchment and Ecohydrology Group (CAT), Environmental Research and Innovation (ERIN),
Luxembourg Institute of Science and Technology (LIST), Belvaux, Luxembourg
Stanislaus J. Schymanski
Catchment and Ecohydrology Group (CAT), Environmental Research and Innovation (ERIN),
Luxembourg Institute of Science and Technology (LIST), Belvaux, Luxembourg
Related authors
Damian N. Mingo, Remko Nijzink, Christophe Ley, and Jack S. Hale
EGUsphere, https://doi.org/10.5194/egusphere-2023-2865, https://doi.org/10.5194/egusphere-2023-2865, 2024
Short summary
Short summary
Hydrologists are often faced with selecting amongst a set of competing models with different numbers of parameters and ability to fit available data. The Bayes’ factor is a tool that can be used to compare models, however it is very difficult to compute the Bayes’ factor numerically. In our paper we explore and develop highly efficient algorithms for computing the Bayes’ factor of hydrological systems, which will bring this useful tool for selecting models to everyday hydrological practice.
Remko C. Nijzink and Stanislaus J. Schymanski
Hydrol. Earth Syst. Sci., 26, 4575–4585, https://doi.org/10.5194/hess-26-4575-2022, https://doi.org/10.5194/hess-26-4575-2022, 2022
Short summary
Short summary
Most catchments plot close to the empirical Budyko curve, which allows for the estimation of the long-term mean annual evaporation and runoff. The Budyko curve can be defined as a function of a wetness index or a dryness index. We found that differences can occur and that there is an uncertainty due to the different formulations.
Remko C. Nijzink, Jason Beringer, Lindsay B. Hutley, and Stanislaus J. Schymanski
Geosci. Model Dev., 15, 883–900, https://doi.org/10.5194/gmd-15-883-2022, https://doi.org/10.5194/gmd-15-883-2022, 2022
Short summary
Short summary
The Vegetation Optimality Model (VOM) is a coupled water–vegetation model that predicts vegetation properties rather than determines them based on observations. A range of updates to previous applications of the VOM has been made for increased generality and improved comparability with conventional models. This showed that there is a large effect on the simulated water and carbon fluxes caused by the assumption of deep groundwater tables and updated soil profiles in the model.
Remko C. Nijzink, Jason Beringer, Lindsay B. Hutley, and Stanislaus J. Schymanski
Hydrol. Earth Syst. Sci., 26, 525–550, https://doi.org/10.5194/hess-26-525-2022, https://doi.org/10.5194/hess-26-525-2022, 2022
Short summary
Short summary
Most models that simulate water and carbon exchanges with the atmosphere rely on information about vegetation, but optimality models predict vegetation properties based on general principles. Here, we use the Vegetation Optimality Model (VOM) to predict vegetation behaviour at five savanna sites. The VOM overpredicted vegetation cover and carbon uptake during the wet seasons but also performed similarly to conventional models, showing that vegetation optimality is a promising approach.
Remko Nijzink, Christopher Hutton, Ilias Pechlivanidis, René Capell, Berit Arheimer, Jim Freer, Dawei Han, Thorsten Wagener, Kevin McGuire, Hubert Savenije, and Markus Hrachowitz
Hydrol. Earth Syst. Sci., 20, 4775–4799, https://doi.org/10.5194/hess-20-4775-2016, https://doi.org/10.5194/hess-20-4775-2016, 2016
Short summary
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).
Remko C. Nijzink, Luis Samaniego, Juliane Mai, Rohini Kumar, Stephan Thober, Matthias Zink, David Schäfer, Hubert H. G. Savenije, and Markus Hrachowitz
Hydrol. Earth Syst. Sci., 20, 1151–1176, https://doi.org/10.5194/hess-20-1151-2016, https://doi.org/10.5194/hess-20-1151-2016, 2016
Short summary
Short summary
The heterogeneity of landscapes in river basins strongly affects the hydrological response. In this study, the distributed mesoscale Hydrologic Model (mHM) was equipped with additional processes identified by landscapes within one modelling cell. Seven study catchments across Europe were selected to test the value of this additional sub-grid heterogeneity. In addition, the models were constrained based on expert knowledge. Generally, the modifications improved the representation of low flows.
J. I. A. Gisen, H. H. G. Savenije, and R. C. Nijzink
Hydrol. Earth Syst. Sci., 19, 2791–2803, https://doi.org/10.5194/hess-19-2791-2015, https://doi.org/10.5194/hess-19-2791-2015, 2015
Short summary
Short summary
We revised the predictive equations for two calibrated parameters in salt intrusion model (the Van der Burgh coefficient K and dispersion coefficient D) using an extended database of 89 salinity profiles including 8 newly conducted salinity measurements. The revised predictive equations consist of easily measured parameters such as the geometry of estuary, tide, friction and the Richardson number. These equations are useful in obtaining the first estimate of salinity distribution in an estuary.
S. Ceola, B. Arheimer, E. Baratti, G. Blöschl, R. Capell, A. Castellarin, J. Freer, D. Han, M. Hrachowitz, Y. Hundecha, C. Hutton, G. Lindström, A. Montanari, R. Nijzink, J. Parajka, E. Toth, A. Viglione, and T. Wagener
Hydrol. Earth Syst. Sci., 19, 2101–2117, https://doi.org/10.5194/hess-19-2101-2015, https://doi.org/10.5194/hess-19-2101-2015, 2015
Short summary
Short summary
We present the outcomes of a collaborative hydrological experiment undertaken by five different international research groups in a virtual laboratory. Moving from the definition of accurate protocols, a rainfall-runoff model was independently applied by the research groups, which then engaged in a comparative discussion. The results revealed that sharing protocols and running the experiment within a controlled environment is fundamental for ensuring experiment repeatability and reproducibility.
Samuele Ceolin, Stanislaus J. Schymanski, Dagmar van Dusschoten, Robert Koller, and Julian Klaus
EGUsphere, https://doi.org/10.5194/egusphere-2024-2557, https://doi.org/10.5194/egusphere-2024-2557, 2024
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We investigated if and how roots of maize plants respond to multiple, abrupt changes in soil moisture. We measured root lengths using a magnetic resonance imaging technique and calculated changes in growth rates after applying water pulses. The root growth rates increased in wetted soil layers within 48 hours and decreased in non-wetted layers, indicating fast adaptation of the root systems to moisture changes. Our findings could improve irrigation management and vegetation models.
Damian N. Mingo, Remko Nijzink, Christophe Ley, and Jack S. Hale
EGUsphere, https://doi.org/10.5194/egusphere-2023-2865, https://doi.org/10.5194/egusphere-2023-2865, 2024
Short summary
Short summary
Hydrologists are often faced with selecting amongst a set of competing models with different numbers of parameters and ability to fit available data. The Bayes’ factor is a tool that can be used to compare models, however it is very difficult to compute the Bayes’ factor numerically. In our paper we explore and develop highly efficient algorithms for computing the Bayes’ factor of hydrological systems, which will bring this useful tool for selecting models to everyday hydrological practice.
Remko C. Nijzink and Stanislaus J. Schymanski
Hydrol. Earth Syst. Sci., 26, 4575–4585, https://doi.org/10.5194/hess-26-4575-2022, https://doi.org/10.5194/hess-26-4575-2022, 2022
Short summary
Short summary
Most catchments plot close to the empirical Budyko curve, which allows for the estimation of the long-term mean annual evaporation and runoff. The Budyko curve can be defined as a function of a wetness index or a dryness index. We found that differences can occur and that there is an uncertainty due to the different formulations.
César Dionisio Jiménez-Rodríguez, Mauro Sulis, and Stanislaus Schymanski
Biogeosciences, 19, 3395–3423, https://doi.org/10.5194/bg-19-3395-2022, https://doi.org/10.5194/bg-19-3395-2022, 2022
Short summary
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Vegetation relies on soil water reservoirs during dry periods. However, when this source is depleted, the plants may access water stored deeper in the rocks. This rock moisture contribution is usually omitted in large-scale models, which affects modeled plant water use during dry periods. Our study illustrates that including this additional source of water in the Community Land Model improves the model's ability to reproduce observed plant water use at seasonally dry sites.
Caitlyn A. Hall, Sheila M. Saia, Andrea L. Popp, Nilay Dogulu, Stanislaus J. Schymanski, Niels Drost, Tim van Emmerik, and Rolf Hut
Hydrol. Earth Syst. Sci., 26, 647–664, https://doi.org/10.5194/hess-26-647-2022, https://doi.org/10.5194/hess-26-647-2022, 2022
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Impactful open, accessible, reusable, and reproducible hydrologic research practices are being embraced by individuals and the community, but taking the plunge can seem overwhelming. We present the Open Hydrology Principles and Practical Guide to help hydrologists move toward open science, research, and education. We discuss the benefits and how hydrologists can overcome common challenges. We encourage all hydrologists to join the open science community (https://open-hydrology.github.io).
Remko C. Nijzink, Jason Beringer, Lindsay B. Hutley, and Stanislaus J. Schymanski
Geosci. Model Dev., 15, 883–900, https://doi.org/10.5194/gmd-15-883-2022, https://doi.org/10.5194/gmd-15-883-2022, 2022
Short summary
Short summary
The Vegetation Optimality Model (VOM) is a coupled water–vegetation model that predicts vegetation properties rather than determines them based on observations. A range of updates to previous applications of the VOM has been made for increased generality and improved comparability with conventional models. This showed that there is a large effect on the simulated water and carbon fluxes caused by the assumption of deep groundwater tables and updated soil profiles in the model.
Remko C. Nijzink, Jason Beringer, Lindsay B. Hutley, and Stanislaus J. Schymanski
Hydrol. Earth Syst. Sci., 26, 525–550, https://doi.org/10.5194/hess-26-525-2022, https://doi.org/10.5194/hess-26-525-2022, 2022
Short summary
Short summary
Most models that simulate water and carbon exchanges with the atmosphere rely on information about vegetation, but optimality models predict vegetation properties based on general principles. Here, we use the Vegetation Optimality Model (VOM) to predict vegetation behaviour at five savanna sites. The VOM overpredicted vegetation cover and carbon uptake during the wet seasons but also performed similarly to conventional models, showing that vegetation optimality is a promising approach.
Martijn Westhoff, Axel Kleidon, Stan Schymanski, Benjamin Dewals, Femke Nijsse, Maik Renner, Henk Dijkstra, Hisashi Ozawa, Hubert Savenije, Han Dolman, Antoon Meesters, and Erwin Zehe
Earth Syst. Dynam. Discuss., https://doi.org/10.5194/esd-2019-6, https://doi.org/10.5194/esd-2019-6, 2019
Publication in ESD not foreseen
Short summary
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Even models relying on physical laws have parameters that need to be measured or estimated. Thermodynamic optimality principles potentially offer a way to reduce the number of estimated parameters by stating that a system evolves to an optimum state. These principles have been applied successfully within the Earth system, but it is often unclear what to optimize and how. In this review paper we identify commonalities between different successful applications as well as some doubtful applications.
Rhys Whitley, Jason Beringer, Lindsay B. Hutley, Gabriel Abramowitz, Martin G. De Kauwe, Bradley Evans, Vanessa Haverd, Longhui Li, Caitlin Moore, Youngryel Ryu, Simon Scheiter, Stanislaus J. Schymanski, Benjamin Smith, Ying-Ping Wang, Mathew Williams, and Qiang Yu
Biogeosciences, 14, 4711–4732, https://doi.org/10.5194/bg-14-4711-2017, https://doi.org/10.5194/bg-14-4711-2017, 2017
Short summary
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This paper attempts to review some of the current challenges faced by the modelling community in simulating the behaviour of savanna ecosystems. We provide a particular focus on three dynamic processes (phenology, root-water access, and fire) that are characteristic of savannas, which we believe are not adequately represented in current-generation terrestrial biosphere models. We highlight reasons for these misrepresentations, possible solutions and a future direction for research in this area.
Stanislaus J. Schymanski, Daniel Breitenstein, and Dani Or
Hydrol. Earth Syst. Sci., 21, 3377–3400, https://doi.org/10.5194/hess-21-3377-2017, https://doi.org/10.5194/hess-21-3377-2017, 2017
Short summary
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Leaf transpiration and energy exchange are coupled processes at the small scale that have strong effects on the water cycle and climate at the large scale. In this technical note, we present a novel experimental set-up that enables detailed study of these coupled processes in the laboratory under controlled conditions. Results document the abilities of the experimental set-up to confirm or challenge our understanding of these processes.
Stanislaus J. Schymanski and Dani Or
Hydrol. Earth Syst. Sci., 21, 685–706, https://doi.org/10.5194/hess-21-685-2017, https://doi.org/10.5194/hess-21-685-2017, 2017
Short summary
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Most of the rain falling on land is returned to the atmosphere by plant leaves, which release water vapour (transpire) through tiny pores. To better understand this process, we used artificial leaves in a special wind tunnel and discovered major problems with an established approach (PM equation) widely used to quantify transpiration and its sensitivity to climate change. We present an improved set of equations, consistent with experiments and displaying more realistic climate sensitivity.
Remko Nijzink, Christopher Hutton, Ilias Pechlivanidis, René Capell, Berit Arheimer, Jim Freer, Dawei Han, Thorsten Wagener, Kevin McGuire, Hubert Savenije, and Markus Hrachowitz
Hydrol. Earth Syst. Sci., 20, 4775–4799, https://doi.org/10.5194/hess-20-4775-2016, https://doi.org/10.5194/hess-20-4775-2016, 2016
Short summary
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).
Maik Renner, Sibylle K. Hassler, Theresa Blume, Markus Weiler, Anke Hildebrandt, Marcus Guderle, Stanislaus J. Schymanski, and Axel Kleidon
Hydrol. Earth Syst. Sci., 20, 2063–2083, https://doi.org/10.5194/hess-20-2063-2016, https://doi.org/10.5194/hess-20-2063-2016, 2016
Short summary
Short summary
We estimated forest transpiration (European beech) along a steep valley cross section. Atmospheric demand, obtained by the thermodynamic limit of maximum power, is the dominant control of transpiration at all sites.
To our surprise we find that transpiration is rather similar across sites with different aspect (north vs. south) and different stand structure due to systematically varying sap velocities. Such a compensation effect is highly relevant for modeling and upscaling of transpiration.
Remko C. Nijzink, Luis Samaniego, Juliane Mai, Rohini Kumar, Stephan Thober, Matthias Zink, David Schäfer, Hubert H. G. Savenije, and Markus Hrachowitz
Hydrol. Earth Syst. Sci., 20, 1151–1176, https://doi.org/10.5194/hess-20-1151-2016, https://doi.org/10.5194/hess-20-1151-2016, 2016
Short summary
Short summary
The heterogeneity of landscapes in river basins strongly affects the hydrological response. In this study, the distributed mesoscale Hydrologic Model (mHM) was equipped with additional processes identified by landscapes within one modelling cell. Seven study catchments across Europe were selected to test the value of this additional sub-grid heterogeneity. In addition, the models were constrained based on expert knowledge. Generally, the modifications improved the representation of low flows.
J. I. A. Gisen, H. H. G. Savenije, and R. C. Nijzink
Hydrol. Earth Syst. Sci., 19, 2791–2803, https://doi.org/10.5194/hess-19-2791-2015, https://doi.org/10.5194/hess-19-2791-2015, 2015
Short summary
Short summary
We revised the predictive equations for two calibrated parameters in salt intrusion model (the Van der Burgh coefficient K and dispersion coefficient D) using an extended database of 89 salinity profiles including 8 newly conducted salinity measurements. The revised predictive equations consist of easily measured parameters such as the geometry of estuary, tide, friction and the Richardson number. These equations are useful in obtaining the first estimate of salinity distribution in an estuary.
S. J. Schymanski and D. Or
Proc. IAHS, 371, 99–107, https://doi.org/10.5194/piahs-371-99-2015, https://doi.org/10.5194/piahs-371-99-2015, 2015
Short summary
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The common use of "potential evaporation" to estimate actual evapotranspiration or to describe the suitability of a given climate for plant growth may lead to wrong conclusions about the consequences of climate change on plant growth and water relations. Wind speed in particular can have opposite effects on potential evaporation and transpiration from plant leaves. Therefore, we recommend to avoid using the concept of potential evaporation in relation to plants and transpiration from leaves.
S. Ceola, B. Arheimer, E. Baratti, G. Blöschl, R. Capell, A. Castellarin, J. Freer, D. Han, M. Hrachowitz, Y. Hundecha, C. Hutton, G. Lindström, A. Montanari, R. Nijzink, J. Parajka, E. Toth, A. Viglione, and T. Wagener
Hydrol. Earth Syst. Sci., 19, 2101–2117, https://doi.org/10.5194/hess-19-2101-2015, https://doi.org/10.5194/hess-19-2101-2015, 2015
Short summary
Short summary
We present the outcomes of a collaborative hydrological experiment undertaken by five different international research groups in a virtual laboratory. Moving from the definition of accurate protocols, a rainfall-runoff model was independently applied by the research groups, which then engaged in a comparative discussion. The results revealed that sharing protocols and running the experiment within a controlled environment is fundamental for ensuring experiment repeatability and reproducibility.
E. Zehe, U. Ehret, L. Pfister, T. Blume, B. Schröder, M. Westhoff, C. Jackisch, S. J. Schymanski, M. Weiler, K. Schulz, N. Allroggen, J. Tronicke, L. van Schaik, P. Dietrich, U. Scherer, J. Eccard, V. Wulfmeyer, and A. Kleidon
Hydrol. Earth Syst. Sci., 18, 4635–4655, https://doi.org/10.5194/hess-18-4635-2014, https://doi.org/10.5194/hess-18-4635-2014, 2014
U. Ehret, H. V. Gupta, M. Sivapalan, S. V. Weijs, S. J. Schymanski, G. Blöschl, A. N. Gelfan, C. Harman, A. Kleidon, T. A. Bogaard, D. Wang, T. Wagener, U. Scherer, E. Zehe, M. F. P. Bierkens, G. Di Baldassarre, J. Parajka, L. P. H. van Beek, A. van Griensven, M. C. Westhoff, and H. C. Winsemius
Hydrol. Earth Syst. Sci., 18, 649–671, https://doi.org/10.5194/hess-18-649-2014, https://doi.org/10.5194/hess-18-649-2014, 2014
Related subject area
Subject: Ecohydrology | Techniques and Approaches: Theory development
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Root zone in the Earth system
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Contribution of cryosphere to runoff in the transition zone between the Tibetan Plateau and arid region based on environmental isotopes
Differential response of plant transpiration to uptake of rainwater-recharged soil water for dominant tree species in the semiarid Loess Plateau
Isotopic offsets between bulk plant water and its sources are larger in cool and wet environments
Hydrology without dimensions
Long-term climate-influenced land cover change in discontinuous permafrost peatland complexes
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Large-scale vegetation responses to terrestrial moisture storage changes
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Siwei Chen, Yuxue Guo, Yue-Ping Xu, and Lu Wang
Hydrol. Earth Syst. Sci., 28, 4989–5009, https://doi.org/10.5194/hess-28-4989-2024, https://doi.org/10.5194/hess-28-4989-2024, 2024
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Our research explores how increased CO2 levels affect water use efficiency in the Yellow River basin. Using updated climate models, we found that future climate change significantly impacts water use efficiency, leading to improved plant resilience against moderate droughts. These findings help predict how ecosystems might adapt to environmental changes, providing essential insights into ways of managing water resources under varying climate conditions.
Fabien Koch, Philipp Blum, Heide Stein, Andreas Fuchs, Hans Jürgen Hahn, and Kathrin Menberg
Hydrol. Earth Syst. Sci., 28, 4927–4946, https://doi.org/10.5194/hess-28-4927-2024, https://doi.org/10.5194/hess-28-4927-2024, 2024
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In this study, we identify shifts in groundwater fauna due to natural or human impacts over 2 decades. We find no overall temporal or large-scale trends in fauna or abiotic parameters. However, at a local level, six monitoring wells show shifting or fluctuating faunal parameters. Our findings indicate that changes in surface conditions should be assessed in line with hydrochemical parameters to better understand changes in groundwater fauna and to obtain reliable biomonitoring results.
Hongkai Gao, Markus Hrachowitz, Lan Wang-Erlandsson, Fabrizio Fenicia, Qiaojuan Xi, Jianyang Xia, Wei Shao, Ge Sun, and Hubert H. G. Savenije
Hydrol. Earth Syst. Sci., 28, 4477–4499, https://doi.org/10.5194/hess-28-4477-2024, https://doi.org/10.5194/hess-28-4477-2024, 2024
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The concept of the root zone is widely used but lacks a precise definition. Its importance in Earth system science is not well elaborated upon. Here, we clarified its definition with several similar terms to bridge the multi-disciplinary gap. We underscore the key role of the root zone in the Earth system, which links the biosphere, hydrosphere, lithosphere, atmosphere, and anthroposphere. To better represent the root zone, we advocate for a paradigm shift towards ecosystem-centred modelling.
Mengge Lu, Huaiwei Sun, Yong Yang, Jie Xue, Hongbo Ling, Hong Zhang, and Wenxin Zhang
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-128, https://doi.org/10.5194/hess-2024-128, 2024
Revised manuscript accepted for HESS
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Our study explores how ecosystems recover after flash droughts. Using vegetation and soil moisture data, we found that recovery takes about 37.5 days on average in China, longer in central and southern regions. Factors like post-drought radiation and temperature affect recovery, with extreme temperatures prolonging it. Herbaceous plants recover faster than forests. Our findings aid water resource management and drought monitoring on a large scale, offering insights into ecosystem resilience.
Xuejin Tan, Bingjun Liu, Xuezhi Tan, Zeqin Huang, and Jianyu Fu
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-106, https://doi.org/10.5194/hess-2024-106, 2024
Revised manuscript accepted for HESS
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We assess the spatiotemporal changes in blue and green water scarcity in a anthropogenic highly-impacted watershed and their association with climate change and land use change, using a multi-water-flux validated SWAT model. Observed streamflow, evapotranspiration, and soil moisture are integrated to model calibration, and validation. Results show that both climate change and land use change have decrease blue water and g green water flow, while land use change increase green water flow.
Zongxing Li, Juan Gui, Qiao Cui, Jian Xue, Fa Du, and Lanping Si
Hydrol. Earth Syst. Sci., 28, 719–734, https://doi.org/10.5194/hess-28-719-2024, https://doi.org/10.5194/hess-28-719-2024, 2024
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Precipitation, ground ice, and snow meltwater accounted for approximately 72 %, 20 %, and 8 % of soil water during the early ablation period. Snow is completely melted in the heavy ablation period and the end of the ablation period, and precipitation contributed about 90 % and 94 % of soil water, respectively. These recharges also vary markedly with altitude and vegetation type.
Max Berkelhammer, Gerald F. Page, Frank Zurek, Christopher Still, Mariah S. Carbone, William Talavera, Laura Hildebrand, James Byron, Kyle Inthabandith, Angellica Kucinski, Melissa Carter, Kelsey Foss, Wendy Brown, Rosemary W. H. Carroll, Austin Simonpietri, Marshall Worsham, Ian Breckheimer, Anna Ryken, Reed Maxwell, David Gochis, Mark Raleigh, Eric Small, and Kenneth H. Williams
EGUsphere, https://doi.org/10.5194/egusphere-2023-3063, https://doi.org/10.5194/egusphere-2023-3063, 2024
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Warming in montane systems is affecting the amount of snowmelt inputs. This will affect subalpine forests globally that rely on spring snowmelt to support their water demands. We use a network of sensors across in the Upper Colorado Basin to show that changing spring primarily impacts dense forest stands that have high peak water demands. On the other hand, open forest stands show a higher reliance on summer rain and were minimally sensitive to even historically low snow conditions like 2019.
Licong Dai, Ruiyu Fu, Xiaowei Guo, Yangong Du, Guangmin Cao, Huakun Zhou, and Zhongmin Hu
Hydrol. Earth Syst. Sci., 27, 4247–4256, https://doi.org/10.5194/hess-27-4247-2023, https://doi.org/10.5194/hess-27-4247-2023, 2023
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We found that, in the 0–30 cm soil layer, soil water retention and soil water content in normal Kobresia meadow (NM) were higher than those in biocrust meadow (BM), whereas the 30–40 cm layer's soil water retention and soil water content in NM were lower than those in BM. The topsoil infiltration rate in BM was lower than that in NM. Our findings revealed that the establishment of biocrust did not improve soil water retention and infiltration.
Shaofei Wang, Xiaodong Gao, Min Yang, Gaopeng Huo, Xiaolin Song, Kadambot H. M. Siddique, Pute Wu, and Xining Zhao
Hydrol. Earth Syst. Sci., 27, 123–137, https://doi.org/10.5194/hess-27-123-2023, https://doi.org/10.5194/hess-27-123-2023, 2023
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Water uptake depth of 11-year-old apple trees reached 300 cm in the blossom and young fruit stage and only 100 cm in the fruit swelling stage, while 17-year-old trees always consumed water from 0–320 cm soil layers. Overall, the natural abundance of stable water isotopes method overestimated the contribution of deep soil water, especially in the 320–500 cm soils. Our findings highlight that determining the occurrence of root water uptake in deep soils helps to quantify trees' water use strategy.
Juan Gui, Zongxing Li, Qi Feng, Qiao Cui, and Jian Xue
Hydrol. Earth Syst. Sci., 27, 97–122, https://doi.org/10.5194/hess-27-97-2023, https://doi.org/10.5194/hess-27-97-2023, 2023
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As the transition zone between the Tibetan Plateau and the arid region, the Qilian Mountains are important ecological barriers and source regions of inland rivers in northwest China. In recent decades, drastic changes in the cryosphere have had a significant impact on the quantity and formation process of water resources in the Qilian Mountains. The mountain runoff of the Qilian Mountains mainly comes from the cryosphere belt, which contributes to approximately 80 % runoff.
Yakun Tang, Lina Wang, Yongqiang Yu, and Dongxu Lu
Hydrol. Earth Syst. Sci., 26, 4995–5013, https://doi.org/10.5194/hess-26-4995-2022, https://doi.org/10.5194/hess-26-4995-2022, 2022
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Whether rainwater-recharged soil water (RRS) uptake can increase plant transpiration after rainfall pulses requires investigation. Our results indicate a differential response of plant transpiration to RRS uptake. Mixed afforestation enhances these water relationships and decreases soil water source competition in deep soil. Our results suggest that plant species or plantation types that can enhance RRS uptake and reduce water competition should be considered for use in water-limited regions.
Javier de la Casa, Adrià Barbeta, Asun Rodríguez-Uña, Lisa Wingate, Jérôme Ogée, and Teresa E. Gimeno
Hydrol. Earth Syst. Sci., 26, 4125–4146, https://doi.org/10.5194/hess-26-4125-2022, https://doi.org/10.5194/hess-26-4125-2022, 2022
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Recently, studies have been reporting mismatches in the water isotopic composition of plants and soils. In this work, we reviewed worldwide isotopic composition data of field and laboratory studies to see if the mismatch is generalised, and we found it to be true. This contradicts theoretical expectations and may underlie an non-described phenomenon that should be forward investigated and implemented in ecohydrological models to avoid erroneous estimations of water sources used by vegetation.
Amilcare Porporato
Hydrol. Earth Syst. Sci., 26, 355–374, https://doi.org/10.5194/hess-26-355-2022, https://doi.org/10.5194/hess-26-355-2022, 2022
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Applying dimensional analysis to the partitioning of water and soil on terrestrial landscapes reveals their dominant environmental controls. We discuss how the dryness index and the storage index affect the long-term rainfall partitioning, the key nonlinear control of the dryness index in global datasets of weathering rates, and the existence of new macroscopic relations among average variables in landscape evolution statistics with tantalizing analogies with turbulent fluctuations.
Olivia Carpino, Kristine Haynes, Ryan Connon, James Craig, Élise Devoie, and William Quinton
Hydrol. Earth Syst. Sci., 25, 3301–3317, https://doi.org/10.5194/hess-25-3301-2021, https://doi.org/10.5194/hess-25-3301-2021, 2021
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This study demonstrates how climate warming in peatland-dominated regions of discontinuous permafrost is changing the form and function of the landscape. Key insights into the rates and patterns of such changes in the coming decades are provided through careful identification of land cover transitional stages and characterization of the hydrological and energy balance regimes for each stage.
Fabien Koch, Kathrin Menberg, Svenja Schweikert, Cornelia Spengler, Hans Jürgen Hahn, and Philipp Blum
Hydrol. Earth Syst. Sci., 25, 3053–3070, https://doi.org/10.5194/hess-25-3053-2021, https://doi.org/10.5194/hess-25-3053-2021, 2021
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In this study, we address the question of whether groundwater fauna in an urban area is natural or affected in comparison to forested land. We find noticeable differences in the spatial distribution of groundwater species and abiotic parameters. An ecological assessment reveals that conditions in the urban area are mainly not good. Yet, there is no clear spatial pattern in terms of land use and anthropogenic impacts. These are significant findings for conservation and usage of urban groundwater.
Marcel Bliedtner, Hans von Suchodoletz, Imke Schäfer, Caroline Welte, Gary Salazar, Sönke Szidat, Mischa Haas, Nathalie Dubois, and Roland Zech
Hydrol. Earth Syst. Sci., 24, 2105–2120, https://doi.org/10.5194/hess-24-2105-2020, https://doi.org/10.5194/hess-24-2105-2020, 2020
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This study investigates the age and origin of leaf wax n-alkanes from a fluvial sediment–paleosol sequence (FSPS) by compound-class 14C dating. Our results show varying age offsets between the formation and sedimentation of leaf wax n-alkanes from well-developed (paleo)soils and fluvial sediments that are mostly due to their complex origin in such sequences. Thus, dating the leaf wax n-alkanes is an important step for more robust leaf-wax-based paleoenvironmental reconstructions in FSPSs.
James W. Kirchner and Scott T. Allen
Hydrol. Earth Syst. Sci., 24, 17–39, https://doi.org/10.5194/hess-24-17-2020, https://doi.org/10.5194/hess-24-17-2020, 2020
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Perhaps the oldest question in hydrology is
Where does water go when it rains?. Here we present a new way to measure how the terrestrial water cycle partitions precipitation into its two ultimate fates:
green waterthat is evaporated or transpired back to the atmosphere and
blue waterthat is discharged to stream channels. Our analysis may help in gauging the vulnerability of both water resources and terrestrial ecosystems to changes in rainfall patterns.
Yu Liu, Zeng Cui, Ze Huang, Hai-Tao Miao, and Gao-Lin Wu
Hydrol. Earth Syst. Sci., 23, 2481–2490, https://doi.org/10.5194/hess-23-2481-2019, https://doi.org/10.5194/hess-23-2481-2019, 2019
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We focus on the positive effects of litter crusts on soil water holding capacity and water interception capacity compared with biocrusts. Litter crusts can significantly improve sandy water content and organic matter. Water-holding capacity increased with development of litter crusts in the sandy interface. Water infiltration rate is increased by sandy and litter crusts' interface properties. Litter crusts provided a better microhabitat conducive to plant growth in sandy lands.
Adrià Barbeta, Sam P. Jones, Laura Clavé, Lisa Wingate, Teresa E. Gimeno, Bastien Fréjaville, Steve Wohl, and Jérôme Ogée
Hydrol. Earth Syst. Sci., 23, 2129–2146, https://doi.org/10.5194/hess-23-2129-2019, https://doi.org/10.5194/hess-23-2129-2019, 2019
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Plant water sources of a beech riparian forest were monitored using stable isotopes. Isotopic fractionation during root water uptake is usually neglected but may be more common than previously accepted. Xylem water was always more depleted in δ2H than all sources considered, suggesting isotopic discrimination during water uptake or within plant tissues. Thus, the identification and quantification of tree water sources was affected. Still, oxygen isotopes were a good tracer of plant source water.
William Quinton, Aaron Berg, Michael Braverman, Olivia Carpino, Laura Chasmer, Ryan Connon, James Craig, Élise Devoie, Masaki Hayashi, Kristine Haynes, David Olefeldt, Alain Pietroniro, Fereidoun Rezanezhad, Robert Schincariol, and Oliver Sonnentag
Hydrol. Earth Syst. Sci., 23, 2015–2039, https://doi.org/10.5194/hess-23-2015-2019, https://doi.org/10.5194/hess-23-2015-2019, 2019
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This paper synthesizes nearly three decades of eco-hydrological field and modelling studies at Scotty Creek, Northwest Territories, Canada, highlighting the key insights into the major water flux and storage processes operating within and between the major land cover types of this wetland-dominated region of discontinuous permafrost. It also examines the rate and pattern of permafrost-thaw-induced land cover change and how such changes will affect the hydrology and water resources of the region.
Wouter H. Maes, Pierre Gentine, Niko E. C. Verhoest, and Diego G. Miralles
Hydrol. Earth Syst. Sci., 23, 925–948, https://doi.org/10.5194/hess-23-925-2019, https://doi.org/10.5194/hess-23-925-2019, 2019
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Potential evaporation (Ep) is the amount of water an ecosystem would consume if it were not limited by water availability or other stress factors. In this study, we compared several methods to estimate Ep using a global dataset of 107 FLUXNET sites. A simple radiation-driven method calibrated per biome consistently outperformed more complex approaches and makes a suitable tool to investigate the impact of water use and demand, drought severity and biome productivity.
Juan Fernando Salazar, Juan Camilo Villegas, Angela María Rendón, Estiven Rodríguez, Isabel Hoyos, Daniel Mercado-Bettín, and Germán Poveda
Hydrol. Earth Syst. Sci., 22, 1735–1748, https://doi.org/10.5194/hess-22-1735-2018, https://doi.org/10.5194/hess-22-1735-2018, 2018
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River flow regimes are being altered by global change. Understanding the mechanisms behind such alterations is crucial for hydrological prediction. We introduce a novel interpretation of river flow metrics (scaling) that allows any river basin to be classified as regulated or unregulated, and to identify transitions between these states. We propose the
forest reservoirhypothesis to explain how forest loss can force the Amazonian river basins from regulated to unregulated states.
Félicien Meunier, Valentin Couvreur, Xavier Draye, Mohsen Zarebanadkouki, Jan Vanderborght, and Mathieu Javaux
Hydrol. Earth Syst. Sci., 21, 6519–6540, https://doi.org/10.5194/hess-21-6519-2017, https://doi.org/10.5194/hess-21-6519-2017, 2017
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To maintain its yield, a plant needs to transpire water that it acquires from the soil. A deep understanding of the mechanisms that lead to water uptake location and intensity is required to correctly simulate the water transfer in the soil to the atmosphere. This work presents novel and general solutions of the water flow equation in roots with varying hydraulic properties that deeply affect the uptake pattern and the transpiration rate and can be used in ecohydrological models.
Robert L. Andrew, Huade Guan, and Okke Batelaan
Hydrol. Earth Syst. Sci., 21, 4469–4478, https://doi.org/10.5194/hess-21-4469-2017, https://doi.org/10.5194/hess-21-4469-2017, 2017
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In this study we statistically analyse the relationship between vegetation cover and components of total water storage. Splitting water storage into different components allows for a more comprehensive understanding of the temporal response of vegetation to changes in water storage. Generally, vegetation appears to be more sensitive to interannual changes in water storage than to shorter changes, though this varies in different land use types.
Tingting Ning, Zhi Li, and Wenzhao Liu
Hydrol. Earth Syst. Sci., 21, 1515–1526, https://doi.org/10.5194/hess-21-1515-2017, https://doi.org/10.5194/hess-21-1515-2017, 2017
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The relationship between controlling parameters of annual catchment water balance and climate seasonality (S) and vegetation coverage (M) was discussed under the Budyko framework and an empirical equation was further developed so that the contributions from M to actual evapotranspiration (ET) could be determined more accurately. The results showed that the effects of landscape condition changes to ET variation will be estimated with a large error if the impacts of S are ignored.
Stanislaus J. Schymanski and Dani Or
Hydrol. Earth Syst. Sci., 21, 685–706, https://doi.org/10.5194/hess-21-685-2017, https://doi.org/10.5194/hess-21-685-2017, 2017
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Most of the rain falling on land is returned to the atmosphere by plant leaves, which release water vapour (transpire) through tiny pores. To better understand this process, we used artificial leaves in a special wind tunnel and discovered major problems with an established approach (PM equation) widely used to quantify transpiration and its sensitivity to climate change. We present an improved set of equations, consistent with experiments and displaying more realistic climate sensitivity.
Roger Moussa and Jean-Paul Lhomme
Hydrol. Earth Syst. Sci., 20, 4867–4879, https://doi.org/10.5194/hess-20-4867-2016, https://doi.org/10.5194/hess-20-4867-2016, 2016
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A new physically based formulation is proposed to extend the Budyko framework under non-steady-state conditions, taking into account the change in water storage. The new formulation, which introduces an additional parameter, represents a generic framework applicable to any Budyko function at various time steps. It is compared to other formulations from the literature and the analytical solution of Greve et al. (2016) appears to be a particular case.
Jean-Paul Lhomme and Roger Moussa
Hydrol. Earth Syst. Sci., 20, 4857–4865, https://doi.org/10.5194/hess-20-4857-2016, https://doi.org/10.5194/hess-20-4857-2016, 2016
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The Budyko functions are matched with the complementary evaporation relationship. We show that there is a functional dependence between the Budyko functions and the drying power of the air. Examining the case where potential evaporation is calculated by means of a Priestley–Taylor type equation with a varying coefficient, we show that this coefficient should have a specified value as a function of the Budyko shape parameter and the aridity index.
Wenfei Liu, Xiaohua Wei, Qiang Li, Houbao Fan, Honglang Duan, Jianping Wu, Krysta Giles-Hansen, and Hao Zhang
Hydrol. Earth Syst. Sci., 20, 4747–4756, https://doi.org/10.5194/hess-20-4747-2016, https://doi.org/10.5194/hess-20-4747-2016, 2016
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In recent decades, limited research has been conducted to examine the role of watershed properties in hydrological responses in large watersheds. Based on pair-wise comparisons, we conclude that reforestation decreased high flows but increased low flows in the watersheds studied. Hydrological recovery through reforestation is largely dependent on watershed properties when forest change and climate are similar and comparable. This finding has important implications for designing reforestation.
Kimberly J. Van Meter, Michael Steiff, Daniel L. McLaughlin, and Nandita B. Basu
Hydrol. Earth Syst. Sci., 20, 2629–2647, https://doi.org/10.5194/hess-20-2629-2016, https://doi.org/10.5194/hess-20-2629-2016, 2016
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Although village-scale rainwater harvesting (RWH) structures have been used for millennia in India, many of these structures have fallen into disrepair due to increased dependence on groundwater. This dependence has contributed to declines in groundwater resources, and in turn to efforts to revive older RWH systems. In the present study, we use field data to quantify water fluxes in a cascade of irrigation tanks to better our understanding of the impact of RWH systems on the water balance in con
Tobias Schuetz, Chantal Gascuel-Odoux, Patrick Durand, and Markus Weiler
Hydrol. Earth Syst. Sci., 20, 843–857, https://doi.org/10.5194/hess-20-843-2016, https://doi.org/10.5194/hess-20-843-2016, 2016
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We quantify the spatio-temporal impact of distinct nitrate sinks and sources on stream network nitrate dynamics in an agricultural headwater. By applying a data-driven modelling approach, we are able to fully distinguish between mixing and dilution processes, and biogeochemical in-stream removal processes along the stream network. In-stream nitrate removal is estimated by applying a novel transfer coefficient based on energy availability.
M. Majerova, B. T. Neilson, N. M. Schmadel, J. M. Wheaton, and C. J. Snow
Hydrol. Earth Syst. Sci., 19, 3541–3556, https://doi.org/10.5194/hess-19-3541-2015, https://doi.org/10.5194/hess-19-3541-2015, 2015
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This study quantifies the impacts of beaver on hydrologic and temperature regimes, as well as highlights the importance of understanding the spatial and temporal scales of those impacts.
Reach-scale discharge showed shift from losing to gaining. Temperature increased by 0.38°C (3.8%) and mean residence time by 230%. At the sub-reach scale, discharge gains and losses increased in variability. At the beaver dam scale, we observed increase in thermal heterogeneity with warmer and cooler niches.
J. P. Lhomme, N. Boudhina, M. M. Masmoudi, and A. Chehbouni
Hydrol. Earth Syst. Sci., 19, 3287–3299, https://doi.org/10.5194/hess-19-3287-2015, https://doi.org/10.5194/hess-19-3287-2015, 2015
J. P. Lhomme, N. Boudhina, and M. M. Masmoudi
Hydrol. Earth Syst. Sci., 18, 4341–4348, https://doi.org/10.5194/hess-18-4341-2014, https://doi.org/10.5194/hess-18-4341-2014, 2014
V. Couvreur, J. Vanderborght, L. Beff, and M. Javaux
Hydrol. Earth Syst. Sci., 18, 1723–1743, https://doi.org/10.5194/hess-18-1723-2014, https://doi.org/10.5194/hess-18-1723-2014, 2014
A. D. Jayakaran, T. M. Williams, H. Ssegane, D. M. Amatya, B. Song, and C. C. Trettin
Hydrol. Earth Syst. Sci., 18, 1151–1164, https://doi.org/10.5194/hess-18-1151-2014, https://doi.org/10.5194/hess-18-1151-2014, 2014
S. A. Howie and H. J. van Meerveld
Hydrol. Earth Syst. Sci., 17, 3421–3435, https://doi.org/10.5194/hess-17-3421-2013, https://doi.org/10.5194/hess-17-3421-2013, 2013
X. Cui, S. Liu, and X. Wei
Hydrol. Earth Syst. Sci., 16, 4279–4290, https://doi.org/10.5194/hess-16-4279-2012, https://doi.org/10.5194/hess-16-4279-2012, 2012
V. Couvreur, J. Vanderborght, and M. Javaux
Hydrol. Earth Syst. Sci., 16, 2957–2971, https://doi.org/10.5194/hess-16-2957-2012, https://doi.org/10.5194/hess-16-2957-2012, 2012
M. E. McClain, L. Chícharo, N. Fohrer, M. Gaviño Novillo, W. Windhorst, and M. Zalewski
Hydrol. Earth Syst. Sci., 16, 1685–1696, https://doi.org/10.5194/hess-16-1685-2012, https://doi.org/10.5194/hess-16-1685-2012, 2012
C. Rasmussen
Hydrol. Earth Syst. Sci., 16, 725–739, https://doi.org/10.5194/hess-16-725-2012, https://doi.org/10.5194/hess-16-725-2012, 2012
A. P. O'Grady, J. L. Carter, and J. Bruce
Hydrol. Earth Syst. Sci., 15, 3731–3739, https://doi.org/10.5194/hess-15-3731-2011, https://doi.org/10.5194/hess-15-3731-2011, 2011
J. D. Muehlbauer, M. W. Doyle, and E. S. Bernhardt
Hydrol. Earth Syst. Sci., 15, 1771–1783, https://doi.org/10.5194/hess-15-1771-2011, https://doi.org/10.5194/hess-15-1771-2011, 2011
K. Edmaier, P. Burlando, and P. Perona
Hydrol. Earth Syst. Sci., 15, 1615–1627, https://doi.org/10.5194/hess-15-1615-2011, https://doi.org/10.5194/hess-15-1615-2011, 2011
H. Iwasaki, H. Saito, K. Kuwao, T. C. Maximov, and S. Hasegawa
Hydrol. Earth Syst. Sci., 14, 301–307, https://doi.org/10.5194/hess-14-301-2010, https://doi.org/10.5194/hess-14-301-2010, 2010
Cited articles
Addor, N., Newman, A. J., Mizukami, N., and Clark, M. P.: The CAMELS data set: catchment attributes and meteorology for large-sample studies, Hydrol. Earth Syst. Sci., 21, 5293–5313, https://doi.org/10.5194/hess-21-5293-2017, 2017. a
Bergström, S.: Development and Application of a Conceptual Runoff
Model for Scandinavian Catchments, Tech. rep., SMHI, SMHI Rep. RHO 7, https://www.smhi.se/polopoly_fs/1.163091!/RHO_7 Development and application of a conceptual runoff model for Scandinavian catchments.pdf (last access: 1 December 2022), 1976. a
Beringer, J., Hutley, L. B., Tapper, N. J., and Cernusak, L. A.: Savanna fires
and their impact on net ecosystem productivity in North Australia, Glob.
Change Biol., 13, 990–1004, https://doi.org/10.1111/j.1365-2486.2007.01334.x,
2007. a
Donohue, R. J., Roderick, M. L., and McVicar, T. R.: On the importance of including vegetation dynamics in Budyko's hydrological model, Hydrol. Earth Syst. Sci., 11, 983–995, https://doi.org/10.5194/hess-11-983-2007, 2007. a, b, c
Donohue, R. J., Roderick, M. L., and McVicar, T. R.: Deriving consistent
long-term vegetation information from AVHRR reflectance data using a
cover-triangle-based framework, Remote Sens. Environ., 112,
2938–2949, https://doi.org/10.1016/j.rse.2008.02.008, 2008. a
Donohue, R. J., Roderick, M. L., and McVicar, T. R.: Roots, storms and soil
pores: Incorporating key ecohydrological processes into Budyko’s
hydrological model, J. Hydrol., 436–437, 35–50,
https://doi.org/10.1016/j.jhydrol.2012.02.033, 2012. a, b, c
Duan, Q., Sorooshian, S., and Gupta, V. K.: Optimal use of the SCE-UA
global optimization method for calibrating watershed models, J. Hydrol., 158, 265–284, https://doi.org/10.1016/0022-1694(94)90057-4, 1994. a
Ehret, U., Gupta, H. V., Sivapalan, M., Weijs, S. V., Schymanski, S. J., Blöschl, G., Gelfan, A. N., Harman, C., Kleidon, A., Bogaard, T. A., Wang, D., Wagener, T., Scherer, U., Zehe, E., Bierkens, M. F. P., Di Baldassarre, G., Parajka, J., van Beek, L. P. H., van Griensven, A., Westhoff, M. C., and Winsemius, H. C.: Advancing catchment hydrology to deal with predictions under change, Hydrol. Earth Syst. Sci., 18, 649–671, https://doi.org/10.5194/hess-18-649-2014, 2014. a
Fenicia, F., Savenije, H. H. G., Matgen, P., and Pfister, L.: Is the groundwater reservoir linear? Learning from data in hydrological modelling, Hydrol. Earth Syst. Sci., 10, 139–150, https://doi.org/10.5194/hess-10-139-2006, 2006. a
Gao, H., Hrachowitz, M., Schymanski, S. J., Fenicia, F., Sriwongsitanon, N.,
and Savenije, H. H. G.: Climate controls how ecosystems size the root zone
storage capacity at catchment scale, Geophys. Res. Lett., 41,
7916–7923, https://doi.org/10.1002/2014GL061668, 2014. a
Gupta, H. V., Kling, H., Yilmaz, K. K., and Martinez, G. F.: Decomposition of
the mean squared error and NSE performance criteria: Implications for
improving hydrological modelling, J. Hydrol., 377, 80–91,
https://doi.org/10.1016/j.jhydrol.2009.08.003, 2009. a, b
Hulsman, P., Bogaard, T. A., and Savenije, H. H. G.: Rainfall-runoff modelling using river-stage time series in the absence of reliable discharge information: a case study in the semi-arid Mara River basin, Hydrol. Earth Syst. Sci., 22, 5081–5095, https://doi.org/10.5194/hess-22-5081-2018, 2018. a
Hutley, L. B., Beringer, J., Isaac, P. R., Hacker, J. M., and Cernusak, L. A.:
A sub-continental scale living laboratory: Spatial patterns of savanna
vegetation over a rainfall gradient in northern Australia,
Agr. Forest Meteorol., 151, 1417–1428, https://doi.org/10.1016/j.agrformet.2011.03.002,
2011. a, b, c, d, e
Hutley, L. B., Beringer, J., Fatichi, S., Schymanski, S. J., and Northwood, M.:
Gross primary productivity and water use efficiency are increasing in a high
rainfall tropical savanna, Glob. Change Biol., 28, 2360–2380,
https://doi.org/10.1111/gcb.16012, 2022. a
Jeffrey, S. J., Carter, J. O., Moodie, K. B., and Beswick, A. R.: Using spatial
interpolation to construct a comprehensive archive of Australian climate
data, Environ. Modell. Softw., 16, 309–330,
https://doi.org/10.1016/S1364-8152(01)00008-1, 2001. a, b, c
Keeling, C. D., Piper, S. C., Bacastow, R. B., Wahlen, M., Whorf, T. P.,
Heimann, M., and Meijer, H. A.: Atmospheric CO2 and 13CO2 Exchange with
the Terrestrial Biosphere and Oceans from 1978 to 2000: Observations
and Carbon Cycle Implications, in: A History of Atmospheric CO2
and its effects on Plants, Animals, and Ecosystems, vol. 177 of Ecological Studies, 83–113, Springer Verlag, New York,
https://doi.org/10.1007/b138533, edited by: Ehleringer, J. R., Cerling, T. E., and Dearing, M. D., 2005. a, b
Kleidon, A., Renner, M., and Porada, P.: Estimates of the climatological land surface energy and water balance derived from maximum convective power, Hydrol. Earth Syst. Sci., 18, 2201–2218, https://doi.org/10.5194/hess-18-2201-2014, 2014. a
Koster, R. D. and Suarez, M. J.: A Simple Framework for Examining the
Interannual Variability of Land Surface Moisture Fluxes, J. Climate, 12, 8, 1999. a
Levenberg, K.: A method for the solution of certain non-linear problems in
least squares, Q. Appl. Math., 2, 164–168,
https://doi.org/10.1090/qam/10666, 1944. a
Li, D., Pan, M., Cong, Z., Zhang, L., and Wood, E.: Vegetation control on water
and energy balance within the Budyko framework, Water Resour. Res.,
49, 969–976, https://doi.org/10.1002/wrcr.20107, 2013. a, b
Mianabadi, A., Coenders-Gerrits, M., Shirazi, P., Ghahraman, B., and Alizadeh, A.: A global Budyko model to partition evaporation into interception and transpiration, Hydrol. Earth Syst. Sci., 23, 4983–5000, https://doi.org/10.5194/hess-23-4983-2019, 2019. a
Milly, P. C. D.: Climate, soil water storage, and the average annual water
balance, Water Resour. Res., 30, 2143–2156, https://doi.org/10.1029/94WR00586, 1994. a, b
Montanari, A., Young, G., Savenije, H., Hughes, D., Wagener, T., Ren, L.,
Koutsoyiannis, D., Cudennec, C., Toth, E., Grimaldi, S., Blöschl, G.,
Sivapalan, M., Beven, K., Gupta, H., Hipsey, M., Schaefli, B., Arheimer, B.,
Boegh, E., Schymanski, S., Di Baldassarre, G., Yu, B., Hubert, P., Huang, Y.,
Schumann, A., Post, D., Srinivasan, V., Harman, C., Thompson, S., Rogger, M.,
Viglione, A., McMillan, H., Characklis, G., Pang, Z., and Belyaev, V.:
“Panta Rhei–Everything Flows”: Change in hydrology and
society–The IAHS Scientific Decade 2013–2022,
Hydrolog. Sci. J., 58, 1256–1275, https://doi.org/10.1080/02626667.2013.809088, 2013. a
Newman, A. J., Clark, M. P., Sampson, K., Wood, A., Hay, L. E., Bock, A., Viger, R. J., Blodgett, D., Brekke, L., Arnold, J. R., Hopson, T., and Duan, Q.: Development of a large-sample watershed-scale hydrometeorological data set for the contiguous USA: data set characteristics and assessment of regional variability in hydrologic model performance, Hydrol. Earth Syst. Sci., 19, 209–223, https://doi.org/10.5194/hess-19-209-2015, 2015. a
Nijzink, R. C and Schymanski, S. J. S.: VOM-v0.6 [code], https://github.com/schymans/VOM/tree/v0.6 (last access: 1 December 2022), 2020. a
Nijzink, R. and Schymanski, S.: The role of vegetation optimality in the Budyko framework, Zenodo [data set] and [code], https://doi.org/10.5281/zenodo.7361655, 2022a. a, b
Nijzink, R. C. and Schymanski, S. J.: Technical note: Do different projections matter for the Budyko framework?, Hydrol. Earth Syst. Sci., 26, 4575–4585, https://doi.org/10.5194/hess-26-4575-2022, 2022b. a
Nijzink, R. C., Almeida, S., Pechlivanidis, I. G., Capell, R., Gustafssons, D.,
Arheimer, B., Parajka, J., Freer, J., Han, D., Wagener, T., Nooijen, R. R.
P. v., Savenije, H. H. G., and Hrachowitz, M.: Constraining Conceptual
Hydrological Models With Multiple Information Sources, Water
Resour. Res., 54, 8332–8362, https://doi.org/10.1029/2017WR021895, 2018. a
Nijzink, R. C., Beringer, J., Hutley, L. B., and Schymanski, S. J.: Does maximization of net carbon profit enable the prediction of vegetation behaviour in savanna sites along a precipitation gradient?, Hydrol. Earth Syst. Sci., 26, 525–550, https://doi.org/10.5194/hess-26-525-2022, 2022a. a, b, c, d, e
Ning, T., Li, Z., and Liu, W.: Vegetation dynamics and climate seasonality jointly control the interannual catchment water balance in the Loess Plateau under the Budyko framework, Hydrol. Earth Syst. Sci., 21, 1515–1526, https://doi.org/10.5194/hess-21-1515-2017, 2017. a, b, c
Ol'Dekop, E.: On evaporation from the surface of river basins, Trans. Meteorol.
Obs., 4, 200, 1911. a
Oudin, L., Andréassian, V., Lerat, J., and Michel, C.: Has land cover a
significant impact on mean annual streamflow? An international assessment
using 1508 catchments, J. Hydrol., 357, 303–316,
https://doi.org/10.1016/j.jhydrol.2008.05.021, 2008. a, b, c
Parajka, J., Merz, R., and Blöschl, G.: Uncertainty and multiple objective
calibration in regional water balance modelling: case study in 320 Austrian
catchments, Hydrolog. Process., 21, 435–446, https://doi.org/10.1002/hyp.6253, 2007. a, b
Perrin, C., Michel, C., and Andréassian, V.: Improvement of a parsimonious
model for streamflow simulation, J. Hydrol., 279, 275–289,
https://doi.org/10.1016/S0022-1694(03)00225-7, 2003. a, b
Pike, J. G.: The estimation of annual run-off from meteorological data in a
tropical climate, J. Hydrol., 2, 116–123,
https://doi.org/10.1016/0022-1694(64)90022-8, 1964. a, b
Porada, P., Kleidon, A., and Schymanski, S. J.: Entropy production of soil hydrological processes and its maximisation, Earth Syst. Dynam., 2, 179–190, https://doi.org/10.5194/esd-2-179-2011, 2011. a
Potter, N. J., Zhang, L., Milly, P. C. D., McMahon, T. A., and Jakeman, A. J.:
Effects of rainfall seasonality and soil moisture capacity on mean annual
water balance for Australian catchments, Water Resour. Res., 41,
W06007, https://doi.org/10.1029/2004WR003697, 2005. a
Reaver, N. G. F., Kaplan, D. A., Klammler, H., and Jawitz, J. W.: Theoretical and empirical evidence against the Budyko catchment trajectory conjecture, Hydrol. Earth Syst. Sci., 26, 1507–1525, https://doi.org/10.5194/hess-26-1507-2022, 2022. a
Renner, M., Seppelt, R., and Bernhofer, C.: Evaluation of water-energy balance frameworks to predict the sensitivity of streamflow to climate change, Hydrol. Earth Syst. Sci., 16, 1419–1433, https://doi.org/10.5194/hess-16-1419-2012, 2012. a
Schenk, H. J. and Jackson, R. B.: Rooting depths, lateral root spreads and
below-ground/above-ground allometries of plants in water-limited ecosystems,
J. Ecol., 90, 480–494, 2002. a
Schreiber, P.: Über die Beziehungen zwischen dem Niederschlag und der
Wasserführung der Flüsse in Mitteleuropa, Z. Meteor., 21, 441–452,
1904. a
Schymanski, S. J., Roderick, M. L., Sivapalan, M., Hutley, L. B., and Beringer,
J.: A test of the optimality approach to modelling canopy properties and
CO2 uptake by natural vegetation, Plant Cell Environ., 30,
1586–1598, https://doi.org/10.1111/j.1365-3040.2007.01728.x, 2007. a
Schymanski, S. J., Sivapalan, M., Roderick, M. L., Beringer, J., and Hutley, L. B.: An optimality-based model of the coupled soil moisture and root dynamics, Hydrol. Earth Syst. Sci., 12, 913–932, https://doi.org/10.5194/hess-12-913-2008, 2008. a, b
Schymanski, S. J., Sivapalan, M., Roderick, M. L., Hutley, L. B., and Beringer,
J.: An optimality-based model of the dynamic feedbacks between natural
vegetation and the water balance, Water Resour. Res., 45, W01412,
https://doi.org/10.1029/2008WR006841, 2009. a, b, c, d
Shao, Q., Traylen, A., and Zhang, L.: Nonparametric method for estimating the
effects of climatic and catchment characteristics on mean annual
evapotranspiration, Water Resour. Res., 48, W03517,
https://doi.org/10.1029/2010WR009610, 2012. a
Valéry, A., Andréassian, V., and Perrin, C.: ‘As simple as possible but
not simpler’: What is useful in a temperature-based snow-accounting
routine? Part 2 – Sensitivity analysis of the Cemaneige snow
accounting routine on 380 catchments, J. Hydrol., 517, 1176–1187,
https://doi.org/10.1016/j.jhydrol.2014.04.058, 2014. a
Viscarra Rossel, R., Chen, C., Grundy, M., Searle, R., Clifford, D., Odgers,
N., Holmes, K., Griffin, T., Liddicoat, C., and Kidd, D.: Soil and
Landscape Grid National Soil Attribute Maps – Clay (3”
resolution) – Release 1, CSIRO [data set], https://doi.org/10.4225/08/546EEE35164BF, 2014a. a
Viscarra Rossel, R., Chen, C., Grundy, M., Searle, R., Clifford, D., Odgers,
N., Holmes, K., Griffin, T., Liddicoat, C., and Kidd, D.: Soil and
Landscape Grid National Soil Attribute Maps - Silt (3”
resolution) – Release 1, CSIRO [data set], https://doi.org/10.4225/08/546F48D6A6D48,
2014b. a
Viscarra Rossel, R., Chen, C., Grundy, M., Searle, R., Clifford, D., Odgers,
N., Holmes, K., Griffin, T., Liddicoat, C., and Kidd, D.: Soil and
Landscape Grid National Soil Attribute Maps – Sand (3”
resolution) – Release 1, CSIRO [data set], https://doi.org/10.4225/08/546F29646877E,
2014c. a
von Caemmerer, S.: Biochemical Models of Leaf Photosynthesis, vol. 2 of
Techniques in Plant Sciences, CSIRO Publishing, Collingwood, https://doi.org/10.1071/9780643103405, 2000. a
Wang, D., Zhao, J., Tang, Y., and Sivapalan, M.: A thermodynamic interpretation
of Budyko and L'vovich formulations of annual water balance:
Proportionality Hypothesis and maximum entropy production, Water
Resour. Res., 51, 3007–3016, https://doi.org/10.1002/2014WR016857, 2015. a, b
Wang-Erlandsson, L., Bastiaanssen, W. G. M., Gao, H., Jägermeyr, J., Senay, G. B., van Dijk, A. I. J. M., Guerschman, J. P., Keys, P. W., Gordon, L. J., and Savenije, H. H. G.: Global root zone storage capacity from satellite-based evaporation, Hydrol. Earth Syst. Sci., 20, 1459–1481, https://doi.org/10.5194/hess-20-1459-2016, 2016. a
Westhoff, M., Zehe, E., Archambeau, P., and Dewals, B.: Does the Budyko curve reflect a maximum-power state of hydrological systems? A backward analysis, Hydrol. Earth Syst. Sci., 20, 479–486, https://doi.org/10.5194/hess-20-479-2016, 2016. a, b
Whitley, R., Beringer, J., Hutley, L. B., Abramowitz, G., De Kauwe, M. G., Duursma, R., Evans, B., Haverd, V., Li, L., Ryu, Y., Smith, B., Wang, Y.-P., Williams, M., and Yu, Q.: A model inter-comparison study to examine limiting factors in modelling Australian tropical savannas, Biogeosciences, 13, 3245–3265, https://doi.org/10.5194/bg-13-3245-2016, 2016. a, b
Williams, C. A., Reichstein, M., Buchmann, N., Baldocchi, D., Beer, C.,
Schwalm, C., Wohlfahrt, G., Hasler, N., Bernhofer, C., Foken, T., Papale, D.,
Schymanski, S., and Schaefer, K.: Climate and vegetation controls on the
surface water balance: Synthesis of evapotranspiration measured across a
global network of flux towers, Water Resour. Res., 48, W06523,
https://doi.org/10.1029/2011WR011586, 2012. a, b, c
Woods, R.: The relative roles of climate, soil, vegetation and topography in
determining seasonal and long-term catchment dynamics, Adv. Water
Resour., 26, 295–309, https://doi.org/10.1016/S0309-1708(02)00164-1, 2003. a
Yang, D., Sun, F., Liu, Z., Cong, Z., Ni, G., and Lei, Z.: Analyzing spatial
and temporal variability of annual water-energy balance in nonhumid regions
of China using the Budyko hypothesis, Water Resour. Res., 43,
W04426, https://doi.org/10.1029/2006WR005224, 2007. a
Yang, D., Shao, W., Yeh, P. J.-F., Yang, H., Kanae, S., and Oki, T.: Impact of
vegetation coverage on regional water balance in the nonhumid regions of
China, Water Resour. Res., 45, W00A14, https://doi.org/10.1029/2008WR006948, 2009. a, b
Yang, H., Yang, D., Lei, Z., and Sun, F.: New analytical derivation of the mean
annual water-energy balance equation, Water Resour. Res., 44, W03410,
https://doi.org/10.1029/2007WR006135, 2008. a, b, c, d
Yang, H., Qi, J., Xu, X., Yang, D., and Lv, H.: The regional variation in
climate elasticity and climate contribution to runoff across China, J. Hydrol., 517, 607–616, https://doi.org/10.1016/j.jhydrol.2014.05.062, 2014. a
Yokoo, Y., Sivapalan, M., and Oki, T.: Investigating the roles of climate
seasonality and landscape characteristics on mean annual and monthly water
balances, J. Hydrol., 357, 255–269,
https://doi.org/10.1016/j.jhydrol.2008.05.010, 2008.
a
Zhang, L., Dawes, W. R., and Walker, G. R.: Response of mean annual
evapotranspiration to vegetation changes at catchment scale, Water Resour.
Res., 37, 701–708, https://doi.org/10.1029/2000WR900325, 2001. a, b
Zhang, L., Hickel, K., Dawes, W. R., Chiew, F. H. S., Western, A. W., and
Briggs, P. R.: A rational function approach for estimating mean annual
evapotranspiration, Water Resour. Res., 40, W02502,
https://doi.org/10.1029/2003WR002710, 2004. a, b, c
Zhang, S., Yang, H., Yang, D., and Jayawardena, A. W.: Quantifying the effect
of vegetation change on the regional water balance within the Budyko
framework, Geophys. Res. Lett., 43, 1140–1148,
https://doi.org/10.1002/2015GL066952, 2016. a
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Short summary
Most catchments plot close to the empirical Budyko curve, which allows for estimating the long-term mean annual evaporation and runoff. We found that a model that optimizes vegetation properties in response to changes in precipitation leads it to converge to a single curve. In contrast, models that assume no changes in vegetation start to deviate from a single curve. This implies that vegetation has a stabilizing role, bringing catchments back to equilibrium after changes in climate.
Most catchments plot close to the empirical Budyko curve, which allows for estimating the...
