Articles | Volume 28, issue 22
https://doi.org/10.5194/hess-28-4989-2024
© Author(s) 2024. 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-28-4989-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Future response of ecosystem water use efficiency to CO2 effects in the Yellow River Basin, China
Siwei Chen
Institute of Water Science and Engineering, Civil Engineering, Zhejiang University, Hangzhou 310058, China
Yuxue Guo
Institute of Water Science and Engineering, Civil Engineering, Zhejiang University, Hangzhou 310058, China
Institute of Water Science and Engineering, Civil Engineering, Zhejiang University, Hangzhou 310058, China
Lu Wang
Institute of Water Science and Engineering, Civil Engineering, Zhejiang University, Hangzhou 310058, China
Related authors
Xinting Yu, Yuxue Guo, Siwei Chen, Haiting Gu, and Yue-Ping Xu
EGUsphere, https://doi.org/10.5194/egusphere-2024-2266, https://doi.org/10.5194/egusphere-2024-2266, 2024
Short summary
Short summary
This study introduces RDV-Copula, a new method to simplify complex vine copula structures by reducing dimensionality while retaining essential data. Applied to Shifeng Creek in China, RDV-Copula captured critical spatial-temporal relationships, demonstrating high synchronization probabilities and significant flood risks. Notably, it was found that increasing structure complexity does not always improve accuracy. This method offers an efficient tool for analyzing and simulating multisite flows.
Lu Wang, Yue-Ping Xu, Haiting Gu, Li Liu, Xiao Liang, and Siwei Chen
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-226, https://doi.org/10.5194/hess-2024-226, 2024
Revised manuscript accepted for HESS
Short summary
Short summary
To understand how eco-hydrological variables evolve jointly and why, this study develops a framework using correlation and causality to construct complex relationships between variables at the system level. Causality provides more detailed information that the compound causes of evolutions regarding any variable can be traced. Joint evolution is controlled by the combination of external drivers and direct causality. Overall, the study facilitates the comprehension of eco-hydrological processes.
Jing Liu, Yue-Ping Xu, Wei Zhang, Shiwu Wang, and Siwei Chen
Hydrol. Earth Syst. Sci., 28, 1325–1350, https://doi.org/10.5194/hess-28-1325-2024, https://doi.org/10.5194/hess-28-1325-2024, 2024
Short summary
Short summary
Applying optimal water allocation models to simultaneously enable economic benefits, water preferences, and environmental demands at different decision levels, timescales, and regions is a challenge. In this study, a process-based three-layer synergistic optimal-allocation model (PTSOA) is established to achieve these goals. Reused, reclaimed water is also coupled to capture environmentally friendly solutions. Network analysis was introduced to reduce competition among different stakeholders.
Xinting Yu, Yuxue Guo, Siwei Chen, Haiting Gu, and Yue-Ping Xu
EGUsphere, https://doi.org/10.5194/egusphere-2024-2266, https://doi.org/10.5194/egusphere-2024-2266, 2024
Short summary
Short summary
This study introduces RDV-Copula, a new method to simplify complex vine copula structures by reducing dimensionality while retaining essential data. Applied to Shifeng Creek in China, RDV-Copula captured critical spatial-temporal relationships, demonstrating high synchronization probabilities and significant flood risks. Notably, it was found that increasing structure complexity does not always improve accuracy. This method offers an efficient tool for analyzing and simulating multisite flows.
Lu Wang, Yue-Ping Xu, Haiting Gu, Li Liu, Xiao Liang, and Siwei Chen
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-226, https://doi.org/10.5194/hess-2024-226, 2024
Revised manuscript accepted for HESS
Short summary
Short summary
To understand how eco-hydrological variables evolve jointly and why, this study develops a framework using correlation and causality to construct complex relationships between variables at the system level. Causality provides more detailed information that the compound causes of evolutions regarding any variable can be traced. Joint evolution is controlled by the combination of external drivers and direct causality. Overall, the study facilitates the comprehension of eco-hydrological processes.
Jing Liu, Yue-Ping Xu, Wei Zhang, Shiwu Wang, and Siwei Chen
Hydrol. Earth Syst. Sci., 28, 1325–1350, https://doi.org/10.5194/hess-28-1325-2024, https://doi.org/10.5194/hess-28-1325-2024, 2024
Short summary
Short summary
Applying optimal water allocation models to simultaneously enable economic benefits, water preferences, and environmental demands at different decision levels, timescales, and regions is a challenge. In this study, a process-based three-layer synergistic optimal-allocation model (PTSOA) is established to achieve these goals. Reused, reclaimed water is also coupled to capture environmentally friendly solutions. Network analysis was introduced to reduce competition among different stakeholders.
Jingkai Xie, Yue-Ping Xu, Hongjie Yu, Yan Huang, and Yuxue Guo
Hydrol. Earth Syst. Sci., 26, 5933–5954, https://doi.org/10.5194/hess-26-5933-2022, https://doi.org/10.5194/hess-26-5933-2022, 2022
Short summary
Short summary
Monitoring extreme flood events has long been a hot topic for hydrologists and decision makers around the world. In this study, we propose a new index incorporating satellite observations combined with meteorological data to monitor extreme flood events at sub-monthly timescales for the Yangtze River basin (YRB), China. The conclusions drawn from this study provide important implications for flood hazard prevention and water resource management over this region.
Yuxue Guo, Xinting Yu, Yue-Ping Xu, Hao Chen, Haiting Gu, and Jingkai Xie
Hydrol. Earth Syst. Sci., 25, 5951–5979, https://doi.org/10.5194/hess-25-5951-2021, https://doi.org/10.5194/hess-25-5951-2021, 2021
Short summary
Short summary
We developed an AI-based management methodology to assess forecast quality and forecast-informed reservoir operation performance together due to uncertain inflow forecasts. Results showed that higher forecast performance could lead to improved reservoir operation, while uncertain forecasts were more valuable than deterministic forecasts. Moreover, the relationship between the forecast horizon and reservoir operation was complex and depended on operating configurations and performance measures.
Zhixu Bai, Yao Wu, Di Ma, and Yue-Ping Xu
Hydrol. Earth Syst. Sci., 25, 3675–3690, https://doi.org/10.5194/hess-25-3675-2021, https://doi.org/10.5194/hess-25-3675-2021, 2021
Short summary
Short summary
To test our hypothesis that the fractal dimensions of streamflow series can be used to improve the calibration of hydrological models, we designed the E–RD efficiency ratio of fractal dimensions strategy and examined its usability in the calibration of lumped models. The results reveal that, in most aspects, introducing RD into model calibration makes the simulation of streamflow components more reasonable. Also, pursuing a better RD during calibration leads to only a minor decrease in E.
Chao Gao, Martijn J. Booij, and Yue-Ping Xu
Hydrol. Earth Syst. Sci., 24, 3251–3269, https://doi.org/10.5194/hess-24-3251-2020, https://doi.org/10.5194/hess-24-3251-2020, 2020
Short summary
Short summary
This paper studies the impact of climate change on high and low flows and quantifies the contribution of uncertainty sources from representative concentration pathways (RCPs), global climate models (GCMs) and internal climate variability in extreme flows. Internal climate variability was reflected in a stochastic rainfall model. The results show the importance of internal climate variability and GCM uncertainty in high flows and GCM and RCP uncertainty in low flows especially for the far future.
Li Liu, Yue Ping Xu, Su Li Pan, and Zhi Xu Bai
Hydrol. Earth Syst. Sci., 23, 3335–3352, https://doi.org/10.5194/hess-23-3335-2019, https://doi.org/10.5194/hess-23-3335-2019, 2019
Short summary
Short summary
The ensemble flood forecasting system can skillfully predict annual maximum floods with a lead time of more than 10 d and has skill in forecasting the snowmelt-related components about 7 d ahead. The accuracy of forecasts for the annual first floods is inferior, with a lead time of only 5 d. The snowmelt-induced surface runoff is the most poorly captured component by the system, and the well-predicted rainfall-related components are the major contributor to good performance.
Related subject area
Subject: Ecohydrology | Techniques and Approaches: Theory development
Temporal shift in groundwater fauna in southwestern Germany
Root zone in the Earth system
Combined impacts of climate change and human activities on blue and green water resources in the high-intensity development watershed
Soil water sources and their implications for vegetation restoration in the Three-Rivers Headwater Region during different ablation periods
Canopy structure modulates the sensitivity of subalpine forest stands to interannual snowpack and precipitation variability
Biocrust-reduced soil water retention and soil infiltration in an alpine Kobresia meadow
The natural abundance of stable water isotopes method may overestimate deep-layer soil water use by trees
Contribution of cryosphere to runoff in the transition zone between the Tibetan Plateau and arid region based on environmental isotopes
Vegetation optimality explains the convergence of catchments on the Budyko curve
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
Groundwater fauna in an urban area – natural or affected?
Age and origin of leaf wax n-alkanes in fluvial sediment–paleosol sequences and implications for paleoenvironmental reconstructions
Seasonal partitioning of precipitation between streamflow and evapotranspiration, inferred from end-member splitting analysis
The influence of litter crusts on soil properties and hydrological processes in a sandy ecosystem
Unexplained hydrogen isotope offsets complicate the identification and quantification of tree water sources in a riparian forest
A synthesis of three decades of hydrological research at Scotty Creek, NWT, Canada
Potential evaporation at eddy-covariance sites across the globe
Scaling properties reveal regulation of river flows in the Amazon through a “forest reservoir”
Water movement through plant roots – exact solutions of the water flow equation in roots with linear or exponential piecewise hydraulic properties
Large-scale vegetation responses to terrestrial moisture storage changes
Vegetation dynamics and climate seasonality jointly control the interannual catchment water balance in the Loess Plateau under the Budyko framework
Leaf-scale experiments reveal an important omission in the Penman–Monteith equation
The Budyko functions under non-steady-state conditions
Matching the Budyko functions with the complementary evaporation relationship: consequences for the drying power of the air and the Priestley–Taylor coefficient
Hydrological recovery in two large forested watersheds of southeastern China: the importance of watershed properties in determining hydrological responses to reforestation
The socioecohydrology of rainwater harvesting in India: understanding water storage and release dynamics across spatial scales
Nitrate sinks and sources as controls of spatio-temporal water quality dynamics in an agricultural headwater catchment
Impacts of beaver dams on hydrologic and temperature regimes in a mountain stream
Estimation of crop water requirements: extending the one-step approach to dual crop coefficients
Technical Note: On the Matt–Shuttleworth approach to estimate crop water requirements
Horizontal soil water potential heterogeneity: simplifying approaches for crop water dynamics models
Hurricane impacts on a pair of coastal forested watersheds: implications of selective hurricane damage to forest structure and streamflow dynamics
Regional and local patterns in depth to water table, hydrochemistry and peat properties of bogs and their laggs in coastal British Columbia
Impacts of forest changes on hydrology: a case study of large watersheds in the upper reaches of Minjiang River watershed in China
A simple three-dimensional macroscopic root water uptake model based on the hydraulic architecture approach
Training hydrologists to be ecohydrologists and play a leading role in environmental problem solving
Thermodynamic constraints on effective energy and mass transfer and catchment function
Can we predict groundwater discharge from terrestrial ecosystems using existing eco-hydrological concepts?
Macroinvertebrate community responses to a dewatering disturbance gradient in a restored stream
Mechanisms of vegetation uprooting by flow in alluvial non-cohesive sediment
Forest decline caused by high soil water conditions in a permafrost region
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
Short summary
Short summary
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
Short summary
Short summary
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.
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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.
Remko C. Nijzink and Stanislaus J. Schymanski
Hydrol. Earth Syst. Sci., 26, 6289–6309, https://doi.org/10.5194/hess-26-6289-2022, https://doi.org/10.5194/hess-26-6289-2022, 2022
Short summary
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.
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
A, G., Velicogna, I., Kimball, J. S., Du, J., Kim, Y., Colliander, A., and Njoku, E.: Satellite-observed changes in vegetation sensitivities to surface soil moisture and total water storage variations since the 2011 Texas drought, Environ. Res. Lett., 12, 054006, https://doi.org/10.1088/1748-9326/aa6965, 2017.
Allan, R., Pereira, L., and Smith, M.: Crop evapotranspiration: guidelines for computing crop water requirements, FAO Irrigation and Drainage Paper No. 56, FAO, Rome, Italy, 1998.
Anav, A., Friedlingstein, P., Beer, C., Ciais, P., Harper, A., Jones, C., Murray-Tortarolo, G., Papale, D., Parazoo, N. C., Peylin, P., Piao, S., Sitch, S., Viovy, N., Wiltshire, A., and Zhao, M.: Spatiotemporal patterns of terrestrial gross primary production: A review, Rev. Geophys., 53, 785–818, https://doi.org/10.1002/2015RG000483, 2015
Berg, A., Sheffield, J., and Milly, P. C. D.: Divergent surface and total soil moisture projections under global warming, Geophys. Res. Lett., 44, 236–244, https://doi.org/10.1002/2016GL071921, 2017.
Bintanja, R. and Andry, O.: Towards a rain-dominated Arctic, Nat. Clim. Change, 7, 263–267, https://doi.org/10.1038/nclimate3240, 2017.
Budyko, M. I.: Climate and Life, 508 pp., Academic Press, New York, ISBN 0121394506, 1974.
Cai, X., Li, L., Fisher, J. B., Zeng, Z., Zhou, S., Tan, X., Liu, B., and Chen, X.: The responses of ecosystem water use efficiency to CO2, nitrogen deposition, and climatic drivers across China, J. Hydrol., 622, 129696, https://doi.org/10.1016/j.jhydrol.2023.129696, 2023.
Cao, S., Li, M., Zhu, Z., Wang, Z., Zha, J., Zhao, W., Duanmu, Z., Chen, J., Zheng, Y., Chen, Y., Myneni, R. B., and Piao, S.: Spatiotemporally consistent global dataset of the GIMMS leaf area index (GIMMS LAI4g) from 1982 to 2020, Earth Syst. Sci. Data, 15, 4877–4899, https://doi.org/10.5194/essd-15-4877-2023, 2023a.
Cao, S., Li, M., Zhu, Z., Wang, Z., Zha, J., Zhao, W., Duanmu, Z., Chen, J., Zheng, Y., Chen, Y., Myneni, R. B., and Piao, S.: Spatiotemporally consistent global dataset of the GIMMS Leaf Area Index (GIMMS LAI4g) from 1982 to 2020 (V1.2), Zenodo [data set], https://doi.org/10.5281/zenodo.8281930, 2023b.
Chen, Z., Wang, W., Forzieri, G., and Cescatti, A.: Transition from positive to negative indirect CO2 effects on the vegetation carbon uptake, Nat. Commun., 15, 1500, https://doi.org/10.1038/s41467-024-45957-x, 2024.
Cheng, L., Xu, Z., Wang, D., and Cai, X.: Assessing interannual variability of evapotranspiration at the catchment scale using satellite-based evapotranspiration data sets, Water Resour. Res., 47, W09509, https://doi.org/10.1029/2011WR010636, 2011.
Choudhury, B.: Evaluation of an empirical equation for annual evaporation using field observations and results from a biophysical model, J. Hydrol., 216, 99–110, https://doi.org/10.1016/S0022-1694(98)00293-5, 1999.
De Kauwe, M. G., Keenan, T. F., Medlyn, B. E., Prentice, I. C., and Terrer, C.: Satellite based estimates underestimate the effect of CO2 fertilization on net primary productivity, Nat. Clim. Change, 6, 892–893, https://doi.org/10.1038/nclimate3105, 2016.
De Kauwe, M. G., Medlyn, B. E., and Tissue, D. T.: To what extent can rising [CO2] ameliorate plant drought stress?, New Phytol., 231, 2118–2124, https://doi.org/10.1111/nph.17540, 2021.
Ding, Y. and Peng, S.: Spatiotemporal Trends and Attribution of Drought across China from 1901–2100, Sustainability, 12, 477, https://doi.org/10.3390/su12020477, 2020.
Ding, Y. and Peng, S.: Spatiotemporal change and attribution of potential evapotranspiration over China from 1901 to 2100, Theor. Appl. Climatol., 145, 79–94, https://doi.org/10.1007/s00704-021-03625-w, 2021.
Du, J., Kimball, J. S., Velicogna, I., Zhao, M., Jones, L. A., Watts, J. D., and Kim, Y.: Multicomponent Satellite Assessment of Drought Severity in the Contiguous United States From 2002 to 2017 Using AMSR-E and AMSR2, Water Resour. Res., 55, 5394–5412, https://doi.org/10.1029/2018WR024633, 2019.
Fang, Q., Wang, G., Liu, T., Xue, B., Sun, W., and Shrestha, S.: Unraveling the sensitivity and nonlinear response of water use efficiency to the water–energy balance and underlying surface condition in a semiarid basin, Sci. Total Environ., 699, 134405, https://doi.org/10.1016/j.scitotenv.2019.134405, 2020.
Fathi, M. M., Awadallah, A. G., Abdelbaki, A. M., and Haggag, M.: A new Budyko framework extension using time series SARIMAX model, J. Hydrol., 570, 827–838, https://doi.org/10.1016/j.jhydrol.2019.01.037, 2019.
Feng, H., Kang, P., Deng, Z., Zhao, W., Hua, M., Zhu, X., and Wang, Z.: The impact of climate change and human activities to vegetation carbon sequestration variation in Sichuan and Chongqing, Environ. Res., 238, 117138, https://doi.org/10.1016/j.envres.2023.117138, 2023.
Feng, S., Hao, Z., Zhang, X., and Hao, F.: Probabilistic evaluation of the impact of compound dry-hot events on global maize yields, Sci. Total Environ., 689, 1228–1234, https://doi.org/10.1016/j.scitotenv.2019.06.373, 2019.
Fowler, M. D., Kooperman, G. J., Randerson, J. T., and Pritchard, M. S.: The effect of plant physiological responses to rising CO2 on global streamflow, Nat. Clim. Change, 9, 873–879, https://doi.org/10.1038/s41558-019-0602-x, 2019.
Gu, H., Xu, Y.-P., Liu, L., Xie, J., Wang, L., Pan, S., and Guo, Y.: Seasonal catchment memory of high mountain rivers in the Tibetan Plateau, Nat. Commun., 14, 3173, https://doi.org/10.1038/s41467-023-38966-9, 2023.
Gu, L., Yin, J., Gentine, P., Wang, H.-M., Slater, L. J., Sullivan, S. C., Chen, J., Zscheischler, J., and Guo, S.: Large anomalies in future extreme precipitation sensitivity driven by atmospheric dynamics, Nat. Commun., 14, 3197, https://doi.org/10.1038/s41467-023-39039-7, 2023.
Guerrieri, R., Belmecheri, S., Ollinger, S. V., Asbjornsen, H., Jennings, K., Xiao, J., Stocker, B. D., Martin, M., Hollinger, D. Y., Bracho-Garrillo, R., Clark, K., Dore, S., Kolb, T., Munger, J. W., Novick, K., and Richardson, A. D.: Disentangling the role of photosynthesis and stomatal conductance on rising forest water-use efficiency, P. Natl. Acad. Sci. USA, 116, 16909–16914, https://doi.org/10.1073/pnas.1905912116, 2019.
Guo, Y., Yu, X., Xu, Y.-P., Wang, G., Xie, J., and Gu, H.: A comparative assessment of CMIP5 and CMIP6 in hydrological responses of the Yellow River Basin, China, Hydrol. Res., 53, 867–891, https://doi.org/10.2166/nh.2022.001, 2022.
He, Y., Liu, Y., Lei, L., Terrer, C., Huntingford, C., Peñuelas, J., Xu, H., and Piao, S.: CO2 fertilization contributed more than half of the observed forest biomass increase in northern extra-tropical land, Glob. Change Biol., 29, 4313–4326, https://doi.org/10.1111/gcb.16806, 2023.
Huang, L., He, B., Han, L., Liu, J., Wang, H., and Chen, Z.: A global examination of the response of ecosystem water-use efficiency to drought based on MODIS data, Sci. Total Environ., 601–602, 1097–1107, https://doi.org/10.1016/j.scitotenv.2017.05.084, 2017.
Huang, S., Chang, J., Leng, G., and Huang, Q.: Integrated index for drought assessment based on variable fuzzy set theory: A case study in the Yellow River basin, China, J. Hydrol., 527, 608–618, https://doi.org/10.1016/j.jhydrol.2015.05.032, 2015.
Humphrey, V. and Gudmundsson, L.: GRACE-REC: a reconstruction of climate-driven water storage changes over the last century, Earth Syst. Sci. Data, 11, 1153–1170, https://doi.org/10.5194/essd-11-1153-2019, 2019.
Humphrey, V. and Gudmundsson, L.: GRACE-REC: a reconstruction of climate-driven water storage changes over the last century, figshare [data set], https://doi.org/10.6084/m9.figshare.7670849, 2019.
Jacobs, C. M. J., van den Hurk, B. M. M., and de Bruin, H. A. R.: Stomatal behaviour and photosynthetic rate of unstressed grapevines in semi-arid conditions, Agr. Forest Meteorol., 80, 111–134, 1996.
Keenan, T. F., Hollinger, D. Y., Bohrer, G., Dragoni, D., Munger, J. W., Schmid, H. P., and Richardson, A. D.: Increase in forest water-use efficiency as atmospheric carbon dioxide concentrations rise, Nature, 499, 324–327, https://doi.org/10.1038/nature12291, 2013.
Kim, D., Baik, J., Umair, M., and Choi, M.: Water use efficiency in terrestrial ecosystem over East Asia: Effects of climate regimes and land cover types, Sci. Total Environ., 773, 145519, https://doi.org/10.1016/j.scitotenv.2021.145519, 2021.
Krinner, G., Viovy, N., De Noblet-Ducoudré, N., Ogée, J., Polcher, J., Friedlingstein, P., Ciais, P., Sitch, S., and Prentice, I. C.: A dynamic global vegetation model for studies of the coupled atmosphere-biosphere system, Global Biogeochem. Cy., 19, 2003GB002199, https://doi.org/10.1029/2003GB002199, 2005.
Lange, S.: Trend-preserving bias adjustment and statistical downscaling with ISIMIP3BASD (v1.0), Geosci. Model Dev., 12, 3055–3070, https://doi.org/10.5194/gmd-12-3055-2019, 2019.
Lawrence, D. M., Fisher, R. A., Koven, C. D., Oleson, K. W., Swenson, S. C., Bonan, G., Collier, N., Ghimire, B., Van Kampenhout, L., Kennedy, D., Kluzek, E., Lawrence, P. J., Li, F., Li, H., Lombardozzi, D., Riley, W. J., Sacks, W. J., Shi, M., Vertenstein, M., Wieder, W. R., Xu, C., Ali, A. A., Badger, A. M., Bisht, G., Van Den Broeke, M., Brunke, M. A., Burns, S. P., Buzan, J., Clark, M., Craig, A., Dahlin, K., Drewniak, B., Fisher, J. B., Flanner, M., Fox, A. M., Gentine, P., Hoffman, F., Keppel-Aleks, G., Knox, R., Kumar, S., Lenaerts, J., Leung, L. R., Lipscomb, W. H., Lu, Y., Pandey, A., Pelletier, J. D., Perket, J., Randerson, J. T., Ricciuto, D. M., Sanderson, B. M., Slater, A., Subin, Z. M., Tang, J., Thomas, R. Q., Val Martin, M., and Zeng, X.: The Community Land Model Version 5: Description of New Features, Benchmarking, and Impact of Forcing Uncertainty, J. Adv. Model Earth Sy., 11, 4245–4287, https://doi.org/10.1029/2018MS001583, 2019.
Leakey, A. D. B., Uribelarrea, M., Ainsworth, E. A., Naidu, S. L., Rogers, A., Ort, D. R., and Long, S. P.: Photosynthesis, Productivity, and Yield of Maize Are Not Affected by Open-Air Elevation of CO2 Concentration in the Absence of Drought, Plant Physiol., 140, 779–790, https://doi.org/10.1104/pp.105.073957, 2006.
Leuning, R.: A critical appraisal of a combined stomatal-photosynthesis model for C3 plants, Plant Cell Environ., 18, 339–355, https://doi.org/10.1111/j.1365-3040.1995.tb00370.x, 1995.
Li, F., Xiao, J., Chen, J., Ballantyne, A., Jin, K., Li, B., Abraha, M., and John, R.: Global water use efficiency saturation due to increased vapor pressure deficit, Science, 381, 672–677, https://doi.org/10.1126/science.adf5041, 2023.
Li, H., He, Y., Zhang, L., Cao, S., and Sun, Q.: Spatiotemporal changes of Gross Primary Production in the Yellow River Basin of China under the influence of climate-driven and human-activity, Global Ecol. Conserv., 46, e02550, https://doi.org/10.1016/j.gecco.2023.e02550, 2023.
Li, P., Tedersoo, L., Crowther, T. W., Dumbrell, A. J., Dini-Andreote, F., Bahram, M., Kuang, L., Li, T., Wu, M., Jiang, Y., Luan, L., Saleem, M., De Vries, F. T., Li, Z., Wang, B., and Jiang, J.: Fossil-fuel-dependent scenarios could lead to a significant decline of global plant-beneficial bacteria abundance in soils by 2100, Nature Food, 4, 996–1006, https://doi.org/10.1038/s43016-023-00869-9, 2023.
Lin, S., Wang, G., Hu, Z., Huang, K., Sun, J., and Sun, X.: Spatiotemporal Variability and Driving Factors of Tibetan Plateau Water Use Efficiency, J. Geophys. Res.-Atmos., 125, e2020JD032642, https://doi.org/10.1029/2020JD032642, 2020.
Liu, X., Feng, X., and Fu, B.: Changes in global terrestrial ecosystem water use efficiency are closely related to soil moisture, Sci. Total Environ., 698, 134165, https://doi.org/10.1016/j.scitotenv.2019.134165, 2020.
Liu, Y., Ding, Z., Chen, Y., Yan, F., Yu, P., Man, W., Liu, M., Li, H., and Tang, X.: Restored vegetation is more resistant to extreme drought events than natural vegetation in Southwest China, Sci. Total Environ., 866, 161250, https://doi.org/10.1016/j.scitotenv.2022.161250, 2023.
Lu, X. and Zhuang, Q.: Evaluating evapotranspiration and water-use efficiency of terrestrial ecosystems in the conterminous United States using MODIS and AmeriFlux data, Remote Sens. Environ., 114, 1924–1939, https://doi.org/10.1016/j.rse.2010.04.001, 2010.
Ma, N. and Szilagyi, J.: The CR of Evaporation: A Calibration-Free Diagnostic and Benchmarking Tool for Large-Scale Terrestrial Evapotranspiration Modeling, Water Resour. Res., 55, 7246–7274, https://doi.org/10.1029/2019WR024867, 2019.
Ma, N., Szilagyi, J., Zhang, Y., and Liu, W.: Complementary-Relationship-Based Modeling of Terrestrial Evapotranspiration Across China During 1982–2012: Validations and Spatiotemporal Analyses, J. Geophys. Res.-Atmos., 124, 4326–4351, https://doi.org/10.1029/2018JD029850, 2019a.
Ma, N., Jozsef, S., Zhang, Y., and Liu, W.: Terrestrial evapotranspiration dataset across China (1982–2017), National Tibetan Plateau/Third Pole Environment Data Center [data set], https://doi.org/10.11888/AtmosPhys.tpe.249493.file, 2019b.
Mankin, J. S., Seager, R., Smerdon, J. E., Cook, B. I., and Williams, A. P.: Mid-latitude freshwater availability reduced by projected vegetation responses to climate change, Nat. Geosci., 12, 983–988, https://doi.org/10.1038/s41561-019-0480-x, 2019.
Mathias, J. M. and Thomas, R. B.: Global tree intrinsic water use efficiency is enhanced by increased atmospheric CO2 and modulated by climate and plant functional types, P. Natl. Acad. Sci. USA, 118, e2014286118, https://doi.org/10.1073/pnas.2014286118, 2021.
Milly, P. C. D. and Dunne, K. A.: Potential evapotranspiration and continental drying, Nat. Clim. Change, 6, 946–949, https://doi.org/10.1038/nclimate3046, 2016.
Milly, P. C. D. and Dunne, K. A.: A Hydrologic Drying Bias in Water-Resource Impact Analyses of Anthropogenic Climate Change, J. Am. Water Resour. As., 53, 822–838, https://doi.org/10.1111/1752-1688.12538, 2017.
Naeem, S., Zhang, Y., Zhang, X., Rehman, A. U., Tang, Z., Xu, Z., Li, C., and Azeem, T.: Recent change in ecosystem water use efficiency in China mainly dominated by vegetation greening and increased CO2, Remote Sens. Environ., 298, 113811, https://doi.org/10.1016/j.rse.2023.113811, 2023.
Ning, T., Zhou, S., Chang, F., Shen, H., Li, Z., and Liu, W.: Interaction of vegetation, climate and topography on evapotranspiration modelling at different time scales within the Budyko framework, Agr. Forest Meteorol., 275, 59–68, https://doi.org/10.1016/j.agrformet.2019.05.001, 2019.
Oleson, K. W., Lawrence, D. M., Bonan, G. B., Drewniak, B., Huang, M., Koven, C. D., Levis, S., Li, F., Riley, W. J., Subin, Z. M., Swenson, S. C., Thornton, P. E., Bozbiyik, A., Fisher, R., Kluzek, E., Lamarque, J.-F., Lawrence, P. J., Leung, L. R., Lipscomb, W., Muszala, S., Ricciuto, D. M., Sacks, W., Sun, Y., Tang, J., and Yang, Z.-L.: Technical Description of version 4.5 of the Community Land Model (CLM). Ncar Technical Note NCAR/TN-503+STR, National Center for Atmospheric Research, Boulder, CO, 422 pp., https://doi.org/10.5065/D6RR1W7M, 2013.
Peng, S.: High-spatial-resolution monthly precipitation dataset over China during 1901–2017, Zenodo [data set], https://doi.org/10.5281/zenodo.3114194, 2019.
Peng, S.: 1-km monthly potential evapotranspiration dataset for China (1901–2023) National Tibetan Plateau/Third Pole Environment Data Center [data set], https://www.tpdc.ac.cn/en/data/8b11da09-1a40-4014-bd3d-2b86e6dccad4/, 2022.
Peng, D., Lyu, J., Song, Z., Huang, S., Zhang, P., Gao, J., and Zhang, Y.: Mercury budgets in the suspended particulate matters of the Yangtze River, Water Res., 243, 120390, https://doi.org/10.1016/j.watres.2023.120390, 2023.
Piao, S., Friedlingstein, P., Ciais, P., De Noblet-Ducoudré, N., Labat, D., and Zaehle, S.: Changes in climate and land use have a larger direct impact than rising CO2 on global river runoff trends, P. Natl. Acad. Sci. USA, 104, 15242–15247, https://doi.org/10.1073/pnas.0707213104, 2007.
Pinzon, J. E. and Tucker, C. J.: A Non-Stationary 1981–2012 AVHRR NDVI3g Time Series, Remote Sensing, 6, 6929–6960, https://doi.org/10.3390/rs6086929, 2014.
Pinzon, J. E., Pak, E. W., Tucker, C. J., Bhatt, U. S., Frost, G. V., and Macander, M. J.: Global Vegetation Greenness (NDVI) from AVHRR GIMMS-3G+, 1981–2022, ORNL DAAC, Oak Ridge, Tennessee, USA [data set], https://doi.org/10.3334/ORNLDAAC/2187, 2023.
Pokhrel, Y., Felfelani, F., Satoh, Y., Boulange, J., Burek, P., Gädeke, A., Gerten, D., Gosling, S. N., Grillakis, M., Gudmundsson, L., Hanasaki, N., Kim, H., Koutroulis, A., Liu, J., Papadimitriou, L., Schewe, J., Müller Schmied, H., Stacke, T., Telteu, C.-E., Thiery, W., Veldkamp, T., Zhao, F., and Wada, Y.: Global terrestrial water storage and drought severity under climate change, Nat. Clim. Change, 11, 226–233, https://doi.org/10.1038/s41558-020-00972-w, 2021.
Ponce-Campos, G. E., Moran, M. S., Huete, A., Zhang, Y., Bresloff, C., Huxman, T. E., Eamus, D., Bosch, D. D., Buda, A. R., Gunter, S. A., Scalley, T. H., Kitchen, S. G., McClaran, M. P., McNab, W. H., Montoya, D. S., Morgan, J. A., Peters, D. P. C., Sadler, E. J., Seyfried, M. S., and Starks, P. J.: Ecosystem resilience despite large-scale altered hydroclimatic conditions, Nature, 494, 349–352, https://doi.org/10.1038/nature11836, 2013.
Roderick, M. L. and Farquhar, G. D.: A simple framework for relating variations in runoff to variations in climatic conditions and catchment properties, Water Resour. Res., 47, W00G07, https://doi.org/10.1029/2010WR009826, 2011.
Séférian, R., Nabat, P., Michou, M., Saint-Martin, D., Voldoire, A., Colin, J., Decharme, B., Delire, C., Berthet, S., Chevallier, M., Sénési, S., Franchisteguy, L., Vial, J., Mallet, M., Joetzjer, E., Geoffroy, O., Guérémy, J.-F., Moine, M.-P., Msadek, R., Ribes, A., Rocher, M., Roehrig, R., Salas-y-Mélia, D., Sanchez, E., Terray, L., Valcke, S., Waldman, R., Aumont, O., Bopp, L., Deshayes, J., Éthé, C., and Madec, G.: Evaluation of CNRM Earth System Model, CNRM-ESM2-1: Role of Earth System Processes in Present-Day and Future Climate, J. Adv. Model. Earth Sy., 11, 4182–4227, https://doi.org/10.1029/2019MS001791, 2019.
Sun, H., Chen, L., Yang, Y., Lu, M., Qin, H., Zhao, B., Lu, M., Xue, J., and Yan, D.: Assessing Variations in Water Use Efficiency and Linkages with Land-Use Changes Using Three Different Data Sources: A Case Study of the Yellow River, China, Remote Sensing, 14, 1065, https://doi.org/10.3390/rs14051065, 2022.
Sun, S., Song, Z., Wu, X., Wang, T., Wu, Y., Du, W., Che, T., Huang, C., Zhang, X., Ping, B., Lin, X., Li, P., Yang, Y., and Chen, B.: Spatio-temporal variations in water use efficiency and its drivers in China over the last three decades, Ecol. Indic., 94, 292–304, https://doi.org/10.1016/j.ecolind.2018.07.003, 2018.
Swann, A. L. S.: Plants and Drought in a Changing Climate, Current Climate Change Reports, 4, 192–201, https://doi.org/10.1007/s40641-018-0097-y, 2018.
Tan, X., Jia, Y., Niu, C., Yang, D., Lu, W., and Hao, C.: Response of water-use efficiency to phenology in the natural forest and grassland of the Loess Plateau in China, Science China Earth Sciences, 66, 2081–2096, https://doi.org/10.1007/s11430-022-1124-0, 2023.
Vicente-Serrano, S. M., Beguería, S., and López-Moreno, J. I.: A Multiscalar Drought Index Sensitive to Global Warming: The Standardized Precipitation Evapotranspiration Index, J. Climate, 23, 1696–1718, https://doi.org/10.1175/2009JCLI2909.1, 2010.
Wang, S. and Zhang, Y.: Long-term (1982–2018) global gross primary production dataset based on NIRv, National Tibetan Plateau/Third Pole Environment Data Center [data set], https://doi.org/10.6084/m9.figshare.12981977.v2, 2020.
Wang, M., Ding, Z., Wu, C., Song, L., Ma, M., Yu, P., Lu, B., and Tang, X.: Divergent responses of ecosystem water-use efficiency to extreme seasonal droughts in Southwest China, Sci. Total Environ., 760, 143427, https://doi.org/10.1016/j.scitotenv.2020.143427, 2021.
Wang, S., Zhang, Y., Ju, W., Qiu, B., and Zhang, Z.: Tracking the seasonal and inter-annual variations of global gross primary production during last four decades using satellite near-infrared reflectance data, Sci. Total Environ., 755, 142569, https://doi.org/10.1016/j.scitotenv.2020.142569, 2021.
Wu, X. and Jiang, D.: Probabilistic impacts of compound dry and hot events on global gross primary production, Environ. Res. Lett., 17, 034049, https://doi.org/10.1088/1748-9326/ac4c5b, 2022.
Xie, J., Chen, J., Sun, G., Zha, T., Yang, B., Chu, H., Liu, J., Wan, S., Zhou, C., Ma, H., Bourque, C. P.-A., Shao, C., John, R., and Ouyang, Z.: Ten-year variability in ecosystem water use efficiency in an oak-dominated temperate forest under a warming climate, Agr. Forest Meteorol., 218–219, 209–217, https://doi.org/10.1016/j.agrformet.2015.12.059, 2016.
Xie, S., Mo, X., Hu, S., and Liu, S.: Contributions of climate change, elevated atmospheric CO2 and human activities to ET and GPP trends in the Three-North Region of China, Agr. Forest Meteorol., 295, 108183, https://doi.org/10.1016/j.agrformet.2020.108183, 2020.
Xing, X., Wu, M., Zhang, W., Ju, W., Tagesson, T., He, W., Wang, S., Wang, J., Hu, L., Yuan, S., Zhu, T., Wang, X., Ran, Y., Li, S., Wang, C., and Jiang, F.: Modeling China's terrestrial ecosystem gross primary productivity with BEPS model: Parameter sensitivity analysis and model calibration, Agr. Forest Meteorol., 343, 109789, https://doi.org/10.1016/j.agrformet.2023.109789, 2023.
Xu, X., Li, X., He, C., Tia, W., and Tian, J.: Development of a simple Budyko-based framework for the simulation and attribution of ET variability in dry regions, J. Hydrol., 610, 127955, https://doi.org/10.1016/j.jhydrol.2022.127955, 2022.
Yang, H. and Yang, D.: Derivation of climate elasticity of runoff to assess the effects of climate change on annual runoff, Water Resour. Res., 47, W07526, https://doi.org/10.1029/2010WR009287, 2011.
Yang, L., Feng, Q., Wen, X., Barzegar, R., Adamowski, J. F., Zhu, M., and Yin, Z.: Contributions of climate, elevated atmospheric CO2 concentration and land surface changes to variation in water use efficiency in Northwest China, CATENA, 213, 106220, https://doi.org/10.1016/j.catena.2022.106220, 2022.
Yang, S., Zhang, J., Han, J., Wang, J., Zhang, S., Bai, Y., Cao, D., Xun, L., Zheng, M., Chen, H., Xu, C., and Rong, Y.: Evaluating global ecosystem water use efficiency response to drought based on multi-model analysis, Sci. Total Environ., 778, 146356, https://doi.org/10.1016/j.scitotenv.2021.146356, 2021.
Yang, X., Wang, C., Du, J., Qiu, S., and Liu, J.: Dynamic evolution of attribution analysis of runoff based on the complementary Budyko equation in the source area of Lancang river, Front. Earth Sci., 11, 1160520, https://doi.org/10.3389/feart.2023.1160520, 2023.
Yang, Y., Donohue, R. J., McVicar, T. R., and Roderick, M. L.: An analytical model for relating global terrestrial carbon assimilation with climate and surface conditions using a rate limitation framework, Geophys. Res. Lett., 42, 9825–9835, https://doi.org/10.1002/2015GL066835, 2015.
Yang, Y., Wu, Q., Yun, H., Jin, H., and Zhang, Z.: Evaluation of the hydrological contributions of permafrost to the thermokarst lakes on the Qinghai–Tibet Plateau using stable isotopes, Global Planet. Change, 140, 1–8, https://doi.org/10.1016/j.gloplacha.2016.03.006, 2016.
Yin, J., Gentine, P., Zhou, S., Sullivan, S. C., Wang, R., Zhang, Y., and Guo, S.: Large increase in global storm runoff extremes driven by climate and anthropogenic changes, Nat. Commun., 9, 4389, https://doi.org/10.1038/s41467-018-06765-2, 2018.
Yin, J., Guo, S., Yang, Y., Chen, J., Gu, L., Wang, J., He, S., Wu, B., and Xiong, J.: Projection of droughts and their socioeconomic exposures based on terrestrial water storage anomaly over China, Science China Earth Sciences, 65, 1772–1787, https://doi.org/10.1007/s11430-021-9927-x, 2022.
Yin, J., Gentine, P., Slater, L., Gu, L., Pokhrel, Y., Hanasaki, N., Guo, S., Xiong, L., and Schlenker, W.: Future socio-ecosystem productivity threatened by compound drought–heatwave events, Nat. Sustain., 6, 259–272, https://doi.org/10.1038/s41893-022-01024-1, 2023.
Yuan, X., Wang, Y., Ji, P., Wu, P., Sheffield, J., and Otkin, J. A.: A global transition to flash droughts under climate change, Science, 380, 187–191, https://doi.org/10.1126/science.abn6301, 2023.
Zhan, C., Orth, R., Migliavacca, M., Zaehle, S., Reichstein, M., Engel, J., Rammig, A., and Winkler, A. J.: Emergence of the physiological effects of elevated CO2 on land–atmosphere exchange of carbon and water, Glob. Change Biol., 28, 7313–7326, https://doi.org/10.1111/gcb.16397, 2022.
Zhang, Y., Piao, S., Sun, Y., Rogers, B. M., Li, X., Lian, X., Liu, Z., Chen, A., and Peñuelas, J.: Future reversal of warming-enhanced vegetation productivity in the Northern Hemisphere, Nat. Clim. Change, 12, 581–586, https://doi.org/10.1038/s41558-022-01374-w, 2022.
Zhang, Y., He, Y., and Song, J.: Effects of climate change and land use on runoff in the Huangfuchuan Basin, China, J. Hydrol., 626, 130195, https://doi.org/10.1016/j.jhydrol.2023.130195, 2023.
Zhang, Z., Zhang, Y., Zhang, Y., Gobron, N., Frankenberg, C., Wang, S., and Li, Z.: The potential of satellite FPAR product for GPP estimation: An indirect evaluation using solar-induced chlorophyll fluorescence, Remote Sens. Environ., 240, 111686, https://doi.org/10.1016/j.rse.2020.111686, 2020.
Zhao, F., Wu, Y., Ma, S., Lei, X., and Liao, W.: Increased Water Use Efficiency in China and Its Drivers During 2000–2016, Ecosystems, 25, 1476–1492, https://doi.org/10.1007/s10021-021-00727-4, 2022a.
Zhao, F., Ma, S., Wu, Y., Qiu, L., Wang, W., Lian, Y., Chen, J., and Sivakumar, B.: The role of climate change and vegetation greening on evapotranspiration variation in the Yellow River Basin, China, Agr. Forest Meteorol., 316, 108842, https://doi.org/10.1016/j.agrformet.2022.108842, 2022b.
Zhao, M., A, G., Velicogna, I., and Kimball, J. S.: Satellite Observations of Regional Drought Severity in the Continental United States Using GRACE-Based Terrestrial Water Storage Changes, J. Climate, 30, 6297–6308, https://doi.org/10.1175/JCLI-D-16-0458.1, 2017.
Zheng, Y., Shen, R., Wang, Y., Li, X., Liu, S., Liang, S., Chen, J. M., Ju, W., Zhang, L., and Yuan, W.: Improved estimate of global gross primary production for reproducing its long-term variation, 1982–2017, Earth Syst. Sci. Data, 12, 2725–2746, https://doi.org/10.5194/essd-12-2725-2020, 2020.
Zhong, Y., Tian, B., Vishwakarma, B. D., Feng, W., Wu, Y., Bai, H., and Zhong, M.: Reinterpreting Global GRACE Trends Based on Century-Long GRACE-REC Data, Water Resour. Res., 59, e2023WR035817, https://doi.org/10.1029/2023WR035817, 2023.
Zhou, S., Yu, B., Huang, Y., and Wang, G.: The complementary relationship and generation of the Budyko functions, Geophys. Res. Lett., 42, 1781–1790, https://doi.org/10.1002/2015GL063511, 2015.
Zhou, S., Yu, B., Zhang, L., Huang, Y., Pan, M., and Wang, G.: A new method to partition climate and catchment effect on the mean annual runoff based on the Budyko complementary relationship: Partitioning the climate and catchment effect on runoff, Water Resour. Res., 52, 7163–7177, https://doi.org/10.1002/2016WR019046, 2016.
Zhou, S., Yu, B., Schwalm, C. R., Ciais, P., Zhang, Y., Fisher, J. B., Michalak, A. M., Wang, W., Poulter, B., Huntzinger, D. N., Niu, S., Mao, J., Jain, A., Ricciuto, D. M., Shi, X., Ito, A., Wei, Y., Huang, Y., and Wang, G.: Response of Water Use Efficiency to Global Environmental Change Based on Output From Terrestrial Biosphere Models, Global Biogeochem. Cy., 31, 1639–1655, https://doi.org/10.1002/2017GB005733, 2017.
Zhou, S., Keenan, T. F., Williams, A. P., Lintner, B. R., Zhang, Y., and Gentine, P.: Large Divergence in Tropical Hydrological Projections Caused by Model Spread in Vegetation Responses to Elevated CO2, Earths Future, 10, e2021EF002457, https://doi.org/10.1029/2021EF002457, 2022.
Zhou, S., Yu, B., Lintner, B. R., Findell, K. L., and Zhang, Y.: Projected increase in global runoff dominated by land surface changes, Nat. Clim. Chang., 13, 442–449, https://doi.org/10.1038/s41558-023-01659-8, 2023.
Zhu, Q., Jiang, H., Peng, C., Liu, J., Wei, X., Fang, X., Liu, S., Zhou, G., and Yu, S.: Evaluating the effects of future climate change and elevated CO2 on the water use efficiency in terrestrial ecosystems of China, Ecol. Model., 222, 2414–2429, https://doi.org/10.1016/j.ecolmodel.2010.09.035, 2011.
Short summary
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.
Our research explores how increased CO2 levels affect water use efficiency in the Yellow River...