Articles | Volume 16, issue 8
https://doi.org/10.5194/hess-16-2585-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-16-2585-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Review article
| 
09 Aug 2012
Review article |
| 09 Aug 2012
Dryland ecohydrology and climate change: critical issues and technical advances
L. Wang
Water Research Center, School of Civil and Environmental Engineering, University of New South Wales, Sydney, NSW, 2052, Australia
Department of Earth Sciences, Indiana University-Purdue University, Indianapolis (IUPUI), Indianapolis, Indiana 46202, USA
P. D'Odorico
Department of Environmental Sciences, University of Virginia, Charlottesville, VA 22904, USA
J. P. Evans
Climate Change Research Centre, University of New South Wales, Sydney, NSW, 2052, Australia
D. J. Eldridge
School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, NSW, 2052, Australia
M. F. McCabe
Water Research Center, School of Civil and Environmental Engineering, University of New South Wales, Sydney, NSW, 2052, Australia
K. K. Caylor
Department of Civil and Environmental Engineering, Princeton University, Princeton, NJ, 08544, USA
E. G. King
Odum School of Ecology and Warnell School of Forestry & Natural Resources, University of Georgia, Athens, GA, 30602, USA
Related subject area
Subject: Ecohydrology | Techniques and Approaches: Modelling approaches
Regional patterns and drivers of modelled water flows along environmental, functional, and stand structure gradients in Spanish forests
Machine learning and global vegetation: random forests for downscaling and gap filling
Unraveling phenological and stomatal responses to flash drought and implications for water and carbon budgets
Bias-blind and bias-aware assimilation of leaf area index into the Noah-MP land surface model over Europe
Technical note: Seamless extraction and analysis of river networks in R
Advancing stream classification and hydrologic modeling of ungaged basins for environmental flow management in coastal southern California
Improving regional climate simulations based on a hybrid data assimilation and machine learning method
A comprehensive assessment of in situ and remote sensing soil moisture data assimilation in the APSIM model for improving agricultural forecasting across the US Midwest
Does non-stationarity induced by multiyear drought invalidate the paired-catchment method?
Is the reputation of Eucalyptus plantations for using more water than Pinus plantations justified?
Attributing trend in naturalized streamflow to temporally explicit vegetation change and climate variation in the Yellow River basin of China
Impacts of different types of El Niño events on water quality over the Corn Belt, United States
Leveraging sap flow data in a catchment-scale hybrid model to improve soil moisture and transpiration estimates
Coupled modelling of hydrological processes and grassland production in two contrasting climates
Does maximization of net carbon profit enable the prediction of vegetation behaviour in savanna sites along a precipitation gradient?
Modelling the artificial forest (Robinia pseudoacacia L.) root–soil water interactions in the Loess Plateau, China
A deep learning hybrid predictive modeling (HPM) approach for estimating evapotranspiration and ecosystem respiration
Vegetation greening weakened the capacity of water supply to China's South-to-North Water Diversion Project
Structural changes to forests during regeneration affect water flux partitioning, water ages and hydrological connectivity: Insights from tracer-aided ecohydrological modelling
How does water yield respond to mountain pine beetle infestation in a semiarid forest?
Daily soil temperature modeling improved by integrating observed snow cover and estimated soil moisture in the USA Great Plains
Plant hydraulic transport controls transpiration sensitivity to soil water stress
Drought onset and propagation into soil moisture and grassland vegetation responses during the 2012–2019 major drought in Southern California
Quantifying the effects of urban green space on water partitioning and ages using an isotope-based ecohydrological model
Low and contrasting impacts of vegetation CO2 fertilization on global terrestrial runoff over 1982–2010: accounting for aboveground and belowground vegetation–CO2 effects
Global ecosystem-scale plant hydraulic traits retrieved using model–data fusion
Quantifying the effects of land use and model scale on water partitioning and water ages using tracer-aided ecohydrological models
Quantification of ecohydrological sensitivities and their influencing factors at the seasonal scale
Canopy temperature and heat stress are increased by compound high air temperature and water stress and reduced by irrigation – a modeling analysis
Evaluating a landscape-scale daily water balance model to support spatially continuous representation of flow intermittency throughout stream networks
Testing water fluxes and storage from two hydrology configurations within the ORCHIDEE land surface model across US semi-arid sites
Novel Keeling-plot-based methods to estimate the isotopic composition of ambient water vapor
Disentangling temporal and population variability in plant root water uptake from stable isotopic analysis: when rooting depth matters in labeling studies
Calibration of hydrological models for ecologically relevant streamflow predictions: a trade-off between fitting well to data and estimating consistent parameter sets?
Spatial variability of mean daily estimates of actual evaporation from remotely sensed imagery and surface reference data
Quantification of soil water balance components based on continuous soil moisture measurement and the Richards equation in an irrigated agricultural field of a desert oasis
Mapping the suitability of groundwater-dependent vegetation in a semi-arid Mediterranean area
Modeling boreal forest evapotranspiration and water balance at stand and catchment scales: a spatial approach
The 18O ecohydrology of a grassland ecosystem – predictions and observations
A comprehensive sensitivity and uncertainty analysis for discharge and nitrate-nitrogen loads involving multiple discrete model inputs under future changing conditions
Dynamic responses of DOC and DIC transport to different flow regimes in a subtropical small mountainous river
Evaluation of ORCHIDEE-MICT-simulated soil moisture over China and impacts of different atmospheric forcing data
Testing an optimality-based model of rooting zone water storage capacity in temperate forests
A regional-scale ecological risk framework for environmental flow evaluations
Climate-driven disturbances in the San Juan River sub-basin of the Colorado River
Dominant effect of increasing forest biomass on evapotranspiration: interpretations of movement in Budyko space
Modeling the potential impacts of climate change on the water table level of selected forested wetlands in the southeastern United States
Calibration of a parsimonious distributed ecohydrological daily model in a data-scarce basin by exclusively using the spatio-temporal variation of NDVI
Importance of considering riparian vegetation requirements for the long-term efficiency of environmental flows in aquatic microhabitats
Waning habitats due to climate change: the effects of changes in streamflow and temperature at the rear edge of the distribution of a cold-water fish
Jesús Sánchez-Dávila, Miquel De Cáceres, Jordi Vayreda, and Javier Retana
Hydrol. Earth Syst. Sci., 28, 3037–3050, https://doi.org/10.5194/hess-28-3037-2024, https://doi.org/10.5194/hess-28-3037-2024, 2024
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Forest blue water is determined by the climate, functional traits, and stand structure variables. The leaf area index (LAI) is the main driver of the trade-off between the blue and green water. Blue water is concentrated in the autumn–winter season, and deciduous trees can increase the relative blue water. The leaf phenology and seasonal distribution are determinants for the relative blue water.
Barry van Jaarsveld, Sandra M. Hauswirth, and Niko Wanders
Hydrol. Earth Syst. Sci., 28, 2357–2374, https://doi.org/10.5194/hess-28-2357-2024, https://doi.org/10.5194/hess-28-2357-2024, 2024
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Drought often manifests itself in vegetation; however, obtaining high-resolution remote-sensing products that are spatially and temporally consistent is difficult. In this study, we show that machine learning (ML) can fill data gaps in existing products. We also demonstrate that ML can be used as a downscaling tool. By relying on ML for gap filling and downscaling, we can obtain a more holistic view of the impacts of drought on vegetation.
Nicholas K. Corak, Jason A. Otkin, Trent W. Ford, and Lauren E. L. Lowman
Hydrol. Earth Syst. Sci., 28, 1827–1851, https://doi.org/10.5194/hess-28-1827-2024, https://doi.org/10.5194/hess-28-1827-2024, 2024
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We simulate how dynamic vegetation interacts with the atmosphere during extreme drought events known as flash droughts. We find that plants nearly halt water and carbon exchanges and limit their growth during flash drought. This work has implications for how to account for changes in vegetation state during extreme drought events when making predictions under future climate scenarios.
Samuel Scherrer, Gabriëlle De Lannoy, Zdenko Heyvaert, Michel Bechtold, Clement Albergel, Tarek S. El-Madany, and Wouter Dorigo
Hydrol. Earth Syst. Sci., 27, 4087–4114, https://doi.org/10.5194/hess-27-4087-2023, https://doi.org/10.5194/hess-27-4087-2023, 2023
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We explored different options for data assimilation (DA) of the remotely sensed leaf area index (LAI). We found strong biases between LAI predicted by Noah-MP and observations. LAI DA that does not take these biases into account can induce unphysical patterns in the resulting LAI and flux estimates and leads to large changes in the climatology of root zone soil moisture. We tested two bias-correction approaches and explored alternative solutions to treating bias in LAI DA.
Luca Carraro
Hydrol. Earth Syst. Sci., 27, 3733–3742, https://doi.org/10.5194/hess-27-3733-2023, https://doi.org/10.5194/hess-27-3733-2023, 2023
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Mathematical models are key to the study of environmental processes in rivers. Such models often require information on river morphology from geographic information system (GIS) software, which hinders the use of replicable workflows. Here I present rivnet, an R package for simple, robust, GIS-free extraction and analysis of river networks. The package is designed so as to require minimal user input and is oriented towards ecohydrological, ecological and biogeochemical modeling.
Stephen K. Adams, Brian P. Bledsoe, and Eric D. Stein
Hydrol. Earth Syst. Sci., 27, 3021–3039, https://doi.org/10.5194/hess-27-3021-2023, https://doi.org/10.5194/hess-27-3021-2023, 2023
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Managing streams for environmental flows involves prioritizing healthy stream ecosystems while distributing water resources. Classifying streams of similar types is a useful step in developing environmental flows. Environmental flows are often developed on data-poor streams that must be modeled. This paper has developed a new method of classification that prioritizes model accuracy. The new method advances environmental streamflow management and modeling of data-poor watersheds.
Xinlei He, Yanping Li, Shaomin Liu, Tongren Xu, Fei Chen, Zhenhua Li, Zhe Zhang, Rui Liu, Lisheng Song, Ziwei Xu, Zhixing Peng, and Chen Zheng
Hydrol. Earth Syst. Sci., 27, 1583–1606, https://doi.org/10.5194/hess-27-1583-2023, https://doi.org/10.5194/hess-27-1583-2023, 2023
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This study highlights the role of integrating vegetation and multi-source soil moisture observations in regional climate models via a hybrid data assimilation and machine learning method. In particular, we show that this approach can improve land surface fluxes, near-surface atmospheric conditions, and land–atmosphere interactions by implementing detailed land characterization information in basins with complex underlying surfaces.
Marissa Kivi, Noemi Vergopolan, and Hamze Dokoohaki
Hydrol. Earth Syst. Sci., 27, 1173–1199, https://doi.org/10.5194/hess-27-1173-2023, https://doi.org/10.5194/hess-27-1173-2023, 2023
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This study attempts to provide a framework for direct integration of soil moisture observations collected from soil sensors and satellite imagery into process-based crop models for improving the representation of agricultural systems. The performance of this framework was evaluated across 19 sites times years for crop yield, normalized difference vegetation index (NDVI), soil moisture, tile flow drainage, and nitrate leaching.
Yunfan Zhang, Lei Cheng, Lu Zhang, Shujing Qin, Liu Liu, Pan Liu, and Yanghe Liu
Hydrol. Earth Syst. Sci., 26, 6379–6397, https://doi.org/10.5194/hess-26-6379-2022, https://doi.org/10.5194/hess-26-6379-2022, 2022
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Multiyear drought has been demonstrated to cause non-stationary rainfall–runoff relationship. But whether changes can invalidate the most fundamental method (i.e., paired-catchment method (PCM)) for separating vegetation change impacts is still unknown. Using paired-catchment data with 10-year drought, PCM is shown to still be reliable even in catchments with non-stationarity. A new framework is further proposed to separate impacts of two non-stationary drivers, using paired-catchment data.
Don A. White, Shiqi Ren, Daniel S. Mendham, Francisco Balocchi-Contreras, Richard P. Silberstein, Dean Meason, Andrés Iroumé, and Pablo Ramirez de Arellano
Hydrol. Earth Syst. Sci., 26, 5357–5371, https://doi.org/10.5194/hess-26-5357-2022, https://doi.org/10.5194/hess-26-5357-2022, 2022
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Of all the planting options for wood production and carbon storage, Eucalyptus species provoke the greatest concern about their effect on water resources. We compared Eucalyptus and Pinus species (the two most widely planted genera) by fitting a simple model to the published estimates of their annual water use. There was no significant difference between the two genera. This has important implications for the global debate around Eucalyptus and is an option for carbon forests.
Zhihui Wang, Qiuhong Tang, Daoxi Wang, Peiqing Xiao, Runliang Xia, Pengcheng Sun, and Feng Feng
Hydrol. Earth Syst. Sci., 26, 5291–5314, https://doi.org/10.5194/hess-26-5291-2022, https://doi.org/10.5194/hess-26-5291-2022, 2022
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Variable infiltration capacity simulation considering dynamic vegetation types and structural parameters is able to better capture the effect of temporally explicit vegetation change and climate variation in hydrological regimes. Vegetation greening including interannual LAI and intra-annual LAI temporal pattern change induced by large-scale ecological restoration and non-vegetation underlying surface change played dominant roles in the natural streamflow reduction of the Yellow River basin.
Pan Chen, Wenhong Li, and Keqi He
Hydrol. Earth Syst. Sci., 26, 4875–4892, https://doi.org/10.5194/hess-26-4875-2022, https://doi.org/10.5194/hess-26-4875-2022, 2022
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The study assessed changes in total nitrogen (TN) and total phosphorus (TP) loads in response to eastern Pacific (EP) and central Pacific (CP) El Niño events over the Corn Belt, USA, using the SWAT model. Results showed that EP (CP) El Niño events improved (exacerbated) water quality in the region. Furthermore, EP El Niño had a much broader and longer impact on water quality at the outlets, but CP El Niño could lead to similar increases in TN/TP loads as EP El Niño at the specific watersheds.
Ralf Loritz, Maoya Bassiouni, Anke Hildebrandt, Sibylle K. Hassler, and Erwin Zehe
Hydrol. Earth Syst. Sci., 26, 4757–4771, https://doi.org/10.5194/hess-26-4757-2022, https://doi.org/10.5194/hess-26-4757-2022, 2022
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In this study, we combine a deep-learning approach that predicts sap flow with a hydrological model to improve soil moisture and transpiration estimates at the catchment scale. Our results highlight that hybrid-model approaches, combining machine learning with physically based models, are a promising way to improve our ability to make hydrological predictions.
Nicholas Jarvis, Jannis Groh, Elisabet Lewan, Katharina H. E. Meurer, Walter Durka, Cornelia Baessler, Thomas Pütz, Elvin Rufullayev, and Harry Vereecken
Hydrol. Earth Syst. Sci., 26, 2277–2299, https://doi.org/10.5194/hess-26-2277-2022, https://doi.org/10.5194/hess-26-2277-2022, 2022
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We apply an eco-hydrological model to data on soil water balance and grassland growth obtained at two sites with contrasting climates. Our results show that the grassland in the drier climate had adapted by developing deeper roots, which maintained water supply to the plants in the face of severe drought. Our study emphasizes the importance of considering such plastic responses of plant traits to environmental stress in the modelling of soil water balance and plant growth under climate change.
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
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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.
Hongyu Li, Yi Luo, Lin Sun, Xiangdong Li, Changkun Ma, Xiaolei Wang, Ting Jiang, and Haoyang Zhu
Hydrol. Earth Syst. Sci., 26, 17–34, https://doi.org/10.5194/hess-26-17-2022, https://doi.org/10.5194/hess-26-17-2022, 2022
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Drying soil layers (DSLs) have been extensively reported in artificial forestland in the Loess Plateau, China, which has limited water resources and deep loess. To address this issue relating to plant root–soil water interactions, this study developed a root growth model that simulates both the dynamic rooting depth and fine-root distribution. Evaluation vs. field data proved a positive performance. Long-term simulation reproduced the evolution process of the DSLs and revealed their mechanisms.
Jiancong Chen, Baptiste Dafflon, Anh Phuong Tran, Nicola Falco, and Susan S. Hubbard
Hydrol. Earth Syst. Sci., 25, 6041–6066, https://doi.org/10.5194/hess-25-6041-2021, https://doi.org/10.5194/hess-25-6041-2021, 2021
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The novel hybrid predictive modeling (HPM) approach uses a long short-term memory recurrent neural network to estimate evapotranspiration (ET) and ecosystem respiration (Reco) with only meteorological and remote-sensing inputs. We developed four use cases to demonstrate the applicability of HPM. The results indicate HPM is capable of providing ET and Reco estimations in challenging mountainous systems and enhances our understanding of watershed dynamics at sparsely monitored watersheds.
Jiehao Zhang, Yulong Zhang, Ge Sun, Conghe Song, Matthew P. Dannenberg, Jiangfeng Li, Ning Liu, Kerong Zhang, Quanfa Zhang, and Lu Hao
Hydrol. Earth Syst. Sci., 25, 5623–5640, https://doi.org/10.5194/hess-25-5623-2021, https://doi.org/10.5194/hess-25-5623-2021, 2021
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To quantify how vegetation greening impacts the capacity of water supply, we built a hybrid model and conducted a case study using the upper Han River basin (UHRB) that serves as the water source area to the world’s largest water diversion project. Vegetation greening in the UHRB during 2001–2018 induced annual water yield (WY) greatly decreased. Vegetation greening also increased the possibility of drought and reduced a quarter of WY on average during drought periods.
Aaron J. Neill, Christian Birkel, Marco P. Maneta, Doerthe Tetzlaff, and Chris Soulsby
Hydrol. Earth Syst. Sci., 25, 4861–4886, https://doi.org/10.5194/hess-25-4861-2021, https://doi.org/10.5194/hess-25-4861-2021, 2021
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Structural changes (cover and height of vegetation plus tree canopy characteristics) to forests during regeneration on degraded land affect how water is partitioned between streamflow, groundwater recharge and evapotranspiration. Partitioning most strongly deviates from baseline conditions during earlier stages of regeneration with dense forest, while recovery may be possible as the forest matures and opens out. This has consequences for informing sustainable landscape restoration strategies.
Jianning Ren, Jennifer C. Adam, Jeffrey A. Hicke, Erin J. Hanan, Christina L. Tague, Mingliang Liu, Crystal A. Kolden, and John T. Abatzoglou
Hydrol. Earth Syst. Sci., 25, 4681–4699, https://doi.org/10.5194/hess-25-4681-2021, https://doi.org/10.5194/hess-25-4681-2021, 2021
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Mountain pine beetle outbreaks have caused widespread tree mortality. While some research shows that water yield increases after trees are killed, many others document no change or a decrease. The climatic and environmental mechanisms driving hydrologic response to tree mortality are not well understood. We demonstrated that the direction of hydrologic response is a function of multiple factors, so previous studies do not necessarily conflict with each other; they represent different conditions.
Haidong Zhao, Gretchen F. Sassenrath, Mary Beth Kirkham, Nenghan Wan, and Xiaomao Lin
Hydrol. Earth Syst. Sci., 25, 4357–4372, https://doi.org/10.5194/hess-25-4357-2021, https://doi.org/10.5194/hess-25-4357-2021, 2021
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This study was done to develop an improved soil temperature model for the USA Great Plains by using common weather station variables as inputs. After incorporating knowledge of estimated soil moisture and observed daily snow depth, the improved model showed a near 50 % gain in performance compared to the original model. We conclude that our improved model can better estimate soil temperature at the surface soil layer where most hydrological and biological processes occur.
Brandon P. Sloan, Sally E. Thompson, and Xue Feng
Hydrol. Earth Syst. Sci., 25, 4259–4274, https://doi.org/10.5194/hess-25-4259-2021, https://doi.org/10.5194/hess-25-4259-2021, 2021
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Plants affect the global water and carbon cycles by modifying their water use and carbon intake in response to soil moisture. Global climate models represent this response with either simple empirical models or complex physical models. We reveal that the latter improves predictions in plants with large flow resistance; however, adding dependence on atmospheric moisture demand to the former matches performance of the latter, leading to a new tool for improving carbon and water cycle predictions.
Maria Magdalena Warter, Michael Bliss Singer, Mark O. Cuthbert, Dar Roberts, Kelly K. Caylor, Romy Sabathier, and John Stella
Hydrol. Earth Syst. Sci., 25, 3713–3729, https://doi.org/10.5194/hess-25-3713-2021, https://doi.org/10.5194/hess-25-3713-2021, 2021
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Intensified drying of soil and grassland vegetation is raising the impact of fire severity and extent in Southern California. While browned grassland is a common sight during the dry season, this study has shown that there is a pronounced shift in the timing of senescence, due to changing climate conditions favoring milder winter temperatures and increased precipitation variability. Vegetation may be limited in its ability to adapt to these shifts, as drought periods become more frequent.
Mikael Gillefalk, Dörthe Tetzlaff, Reinhard Hinkelmann, Lena-Marie Kuhlemann, Aaron Smith, Fred Meier, Marco P. Maneta, and Chris Soulsby
Hydrol. Earth Syst. Sci., 25, 3635–3652, https://doi.org/10.5194/hess-25-3635-2021, https://doi.org/10.5194/hess-25-3635-2021, 2021
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We used a tracer-aided ecohydrological model to quantify water flux–storage–age interactions for three urban vegetation types: trees, shrub and grass. The model results showed that evapotranspiration increased in the order shrub < grass < trees during one growing season. Additionally, we could show how
infiltration hotspotscreated by runoff from sealed onto vegetated surfaces can enhance both evapotranspiration and groundwater recharge.
Yuting Yang, Tim R. McVicar, Dawen Yang, Yongqiang Zhang, Shilong Piao, Shushi Peng, and Hylke E. Beck
Hydrol. Earth Syst. Sci., 25, 3411–3427, https://doi.org/10.5194/hess-25-3411-2021, https://doi.org/10.5194/hess-25-3411-2021, 2021
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This study developed an analytical ecohydrological model that considers three aspects of vegetation response to eCO2 (i.e., stomatal response, LAI response, and rooting depth response) to detect the impact of eCO2 on continental runoff over the past 3 decades globally. Our findings suggest a minor role of eCO2 on the global runoff changes, yet highlight the negative runoff–eCO2 response in semiarid and arid regions which may further threaten the limited water resource there.
Yanlan Liu, Nataniel M. Holtzman, and Alexandra G. Konings
Hydrol. Earth Syst. Sci., 25, 2399–2417, https://doi.org/10.5194/hess-25-2399-2021, https://doi.org/10.5194/hess-25-2399-2021, 2021
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The flow of water through plants varies with species-specific traits. To determine how they vary across the world, we mapped the traits that best allowed a model to match microwave satellite data. We also defined average values across a few clusters of trait behavior. These form a tractable solution for use in large-scale models. Transpiration estimates using these clusters were more accurate than if using plant functional types. We expect our maps to improve transpiration forecasts.
Aaron Smith, Doerthe Tetzlaff, Lukas Kleine, Marco Maneta, and Chris Soulsby
Hydrol. Earth Syst. Sci., 25, 2239–2259, https://doi.org/10.5194/hess-25-2239-2021, https://doi.org/10.5194/hess-25-2239-2021, 2021
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We used a tracer-aided ecohydrological model on a mixed land use catchment in northeastern Germany to quantify water flux–storage–age interactions at four model grid resolutions. The model's ability to reproduce spatio-temporal flux–storage–age interactions decreases with increasing model grid sizes. Similarly, larger model grids showed vegetation-influenced changes in blue and green water partitioning. Simulations reveal the value of measured soil and stream isotopes for model calibration.
Yiping Hou, Mingfang Zhang, Xiaohua Wei, Shirong Liu, Qiang Li, Tijiu Cai, Wenfei Liu, Runqi Zhao, and Xiangzhuo Liu
Hydrol. Earth Syst. Sci., 25, 1447–1466, https://doi.org/10.5194/hess-25-1447-2021, https://doi.org/10.5194/hess-25-1447-2021, 2021
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Ecohydrological sensitivity, defined as the response intensity of streamflow to vegetation change, indicates the hydrological sensitivity to vegetation change. The study revealed seasonal ecohydrological sensitivities were highly variable, depending on climate condition and watershed attributes. Dry season ecohydrological sensitivity was mostly determined by topography, soil and vegetation, while wet season ecohydrological sensitivity was mainly controlled by soil, landscape and vegetation.
Xiangyu Luan and Giulia Vico
Hydrol. Earth Syst. Sci., 25, 1411–1423, https://doi.org/10.5194/hess-25-1411-2021, https://doi.org/10.5194/hess-25-1411-2021, 2021
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Crop yield is reduced by heat and water stress, particularly when they co-occur. We quantify the joint effects of (unpredictable) air temperature and soil water availability on crop heat stress via a mechanistic model. Larger but more infrequent precipitation increased crop canopy temperatures. Keeping crops well watered via irrigation could reduce canopy temperature but not enough to always exclude heat damage. Thus, irrigation is only a partial solution to adapt to warmer and drier climates.
Songyan Yu, Hong Xuan Do, Albert I. J. M. van Dijk, Nick R. Bond, Peirong Lin, and Mark J. Kennard
Hydrol. Earth Syst. Sci., 24, 5279–5295, https://doi.org/10.5194/hess-24-5279-2020, https://doi.org/10.5194/hess-24-5279-2020, 2020
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There is a growing interest globally in the spatial distribution and temporal dynamics of intermittently flowing streams and rivers. We developed an approach to quantify catchment-wide flow intermittency over long time frames. Modelled patterns of flow intermittency in eastern Australia revealed highly dynamic behaviour in space and time. The developed approach is transferable to other parts of the world and can inform hydro-ecological understanding and management of intermittent streams.
Natasha MacBean, Russell L. Scott, Joel A. Biederman, Catherine Ottlé, Nicolas Vuichard, Agnès Ducharne, Thomas Kolb, Sabina Dore, Marcy Litvak, and David J. P. Moore
Hydrol. Earth Syst. Sci., 24, 5203–5230, https://doi.org/10.5194/hess-24-5203-2020, https://doi.org/10.5194/hess-24-5203-2020, 2020
Yusen Yuan, Taisheng Du, Honglang Wang, and Lixin Wang
Hydrol. Earth Syst. Sci., 24, 4491–4501, https://doi.org/10.5194/hess-24-4491-2020, https://doi.org/10.5194/hess-24-4491-2020, 2020
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The isotopic composition of ambient water vapor is an important source of atmospheric water vapor and has not been able to be estimated to date using the Keeling plot approach. Here we proposed two new methods to estimate the isotopic composition of ambient water vapor: one using the intersection point method and another relying on the intermediate value theorem.
Valentin Couvreur, Youri Rothfuss, Félicien Meunier, Thierry Bariac, Philippe Biron, Jean-Louis Durand, Patricia Richard, and Mathieu Javaux
Hydrol. Earth Syst. Sci., 24, 3057–3075, https://doi.org/10.5194/hess-24-3057-2020, https://doi.org/10.5194/hess-24-3057-2020, 2020
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Isotopic labeling of soil water is a broadly used tool for tracing the origin of water extracted by plants and computing root water uptake (RWU) profiles with multisource mixing models. In this study, we show how a method such as this may misconstrue time series of xylem water isotopic composition as the temporal dynamics of RWU by simulating data collected during a tall fescue rhizotron experiment with an isotope-enabled physical soil–root model accounting for variability in root traits.
Thibault Hallouin, Michael Bruen, and Fiachra E. O'Loughlin
Hydrol. Earth Syst. Sci., 24, 1031–1054, https://doi.org/10.5194/hess-24-1031-2020, https://doi.org/10.5194/hess-24-1031-2020, 2020
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A hydrological model was used to compare different parameterisation strategies in view of predicting ecologically relevant streamflow indices in 33 Irish catchments. Compared for 14 different periods, a strategy fitting simulated and observed streamflow indices yielded better performance than fitting simulated and observed streamflow, but it also yielded a less consistent ensemble of parameter sets, suggesting that these indices may not be hydrologically relevant for model parameterisation.
Robert N. Armstrong, John W. Pomeroy, and Lawrence W. Martz
Hydrol. Earth Syst. Sci., 23, 4891–4907, https://doi.org/10.5194/hess-23-4891-2019, https://doi.org/10.5194/hess-23-4891-2019, 2019
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Digital and thermal images taken near midday were used to scale daily point observations of key factors driving actual-evaporation estimates across a complex Canadian Prairie landscape. Point estimates of actual evaporation agreed well with observed values via eddy covariance. Impacts of spatial variations on areal estimates were minor, and no covariance was found between model parameters driving the energy term. The methods can be applied further to improve land surface parameterisations.
Zhongkai Li, Hu Liu, Wenzhi Zhao, Qiyue Yang, Rong Yang, and Jintao Liu
Hydrol. Earth Syst. Sci., 23, 4685–4706, https://doi.org/10.5194/hess-23-4685-2019, https://doi.org/10.5194/hess-23-4685-2019, 2019
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A database of soil moisture measurements from the middle Heihe River basin of China was used to test the potential of a soil moisture database in estimating the soil water balance components (SWBCs). We determined SWBCs using a method that combined the soil water balance method and the inverse Richards equation. This work confirmed that relatively reasonable estimations of the SWBCs in coarse-textured sandy soils can be derived using soil moisture measurements.
Inês Gomes Marques, João Nascimento, Rita M. Cardoso, Filipe Miguéns, Maria Teresa Condesso de Melo, Pedro M. M. Soares, Célia M. Gouveia, and Cathy Kurz Besson
Hydrol. Earth Syst. Sci., 23, 3525–3552, https://doi.org/10.5194/hess-23-3525-2019, https://doi.org/10.5194/hess-23-3525-2019, 2019
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Mediterranean cork woodlands are very particular agroforestry systems present in a confined area of the Mediterranean Basin. They are of great importance due to their high socioeconomic value; however, a decrease in water availability has put this system in danger. In this paper we build a model that explains this system's tree-species distribution in southern Portugal from environmental variables. This could help predict their future distribution under changing climatic conditions.
Samuli Launiainen, Mingfu Guan, Aura Salmivaara, and Antti-Jussi Kieloaho
Hydrol. Earth Syst. Sci., 23, 3457–3480, https://doi.org/10.5194/hess-23-3457-2019, https://doi.org/10.5194/hess-23-3457-2019, 2019
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Boreal forest evapotranspiration and water cycle is modeled at stand and catchment scale using physiological and physical principles, open GIS data and daily weather data. The approach can predict daily evapotranspiration well across Nordic coniferous-dominated stands and successfully reproduces daily streamflow and annual evapotranspiration across boreal headwater catchments in Finland. The model is modular and simple and designed for practical applications over large areas using open data.
Regina T. Hirl, Hans Schnyder, Ulrike Ostler, Rudi Schäufele, Inga Schleip, Sylvia H. Vetter, Karl Auerswald, Juan C. Baca Cabrera, Lisa Wingate, Margaret M. Barbour, and Jérôme Ogée
Hydrol. Earth Syst. Sci., 23, 2581–2600, https://doi.org/10.5194/hess-23-2581-2019, https://doi.org/10.5194/hess-23-2581-2019, 2019
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We evaluated the system-scale understanding of the propagation of the oxygen isotope signal (δ18O) of rain through soil and xylem to leaf water in a temperate drought-prone grassland. Biweekly δ18O observations of the water pools made during seven growing seasons were accurately reproduced by the 18O-enabled process-based model MuSICA. While water uptake occurred from shallow soil depths throughout dry and wet periods, leaf water 18O enrichment responded to both soil and atmospheric moisture.
Christoph Schürz, Brigitta Hollosi, Christoph Matulla, Alexander Pressl, Thomas Ertl, Karsten Schulz, and Bano Mehdi
Hydrol. Earth Syst. Sci., 23, 1211–1244, https://doi.org/10.5194/hess-23-1211-2019, https://doi.org/10.5194/hess-23-1211-2019, 2019
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For two Austrian catchments we simulated discharge and nitrate-nitrogen (NO3-N) considering future changes of climate, land use, and point source emissions together with the impact of different setups and parametrizations of the implemented eco-hydrological model. In a comprehensive analysis we identified the dominant sources of uncertainty for the simulation of discharge and NO3-N and further examined how specific properties of the model inputs control the future simulation results.
Yu-Ting Shih, Pei-Hao Chen, Li-Chin Lee, Chien-Sen Liao, Shih-Hao Jien, Fuh-Kwo Shiah, Tsung-Yu Lee, Thomas Hein, Franz Zehetner, Chung-Te Chang, and Jr-Chuan Huang
Hydrol. Earth Syst. Sci., 22, 6579–6590, https://doi.org/10.5194/hess-22-6579-2018, https://doi.org/10.5194/hess-22-6579-2018, 2018
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DOC and DIC export in Taiwan shows that the annual DOC and DIC fluxes were 2.7–4.8 and 48.4–54.3 ton C km2 yr1, respectively, which were approximately 2 and 20 times higher than the global means of 1.4 and 2.6 ton C km2 yr1, respectively.
Zun Yin, Catherine Ottlé, Philippe Ciais, Matthieu Guimberteau, Xuhui Wang, Dan Zhu, Fabienne Maignan, Shushi Peng, Shilong Piao, Jan Polcher, Feng Zhou, Hyungjun Kim, and other China-Trend-Stream project members
Hydrol. Earth Syst. Sci., 22, 5463–5484, https://doi.org/10.5194/hess-22-5463-2018, https://doi.org/10.5194/hess-22-5463-2018, 2018
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Simulations in China were performed in ORCHIDEE driven by different forcing datasets: GSWP3, PGF, CRU-NCEP, and WFDEI. Simulated soil moisture was compared to several datasets to evaluate the ability of ORCHIDEE in reproducing soil moisture dynamics. Results showed that ORCHIDEE soil moisture coincided well with other datasets in wet areas and in non-irrigated areas. It suggested that the ORCHIDEE-MICT was suitable for further hydrological studies in China.
Matthias J. R. Speich, Heike Lischke, and Massimiliano Zappa
Hydrol. Earth Syst. Sci., 22, 4097–4124, https://doi.org/10.5194/hess-22-4097-2018, https://doi.org/10.5194/hess-22-4097-2018, 2018
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To simulate the water balance of, e.g., a forest plot, it is important to estimate the maximum volume of water available to plants. This depends on soil properties and the average depth of roots. Rooting depth has proven challenging to estimate. Here, we applied a model assuming that plants dimension their roots to optimize their carbon budget. We compared its results with values obtained by calibrating a dynamic water balance model. In most cases, there is good agreement between both methods.
Gordon C. O'Brien, Chris Dickens, Eleanor Hines, Victor Wepener, Retha Stassen, Leo Quayle, Kelly Fouchy, James MacKenzie, P. Mark Graham, and Wayne G. Landis
Hydrol. Earth Syst. Sci., 22, 957–975, https://doi.org/10.5194/hess-22-957-2018, https://doi.org/10.5194/hess-22-957-2018, 2018
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In global water resource allocation, robust tools are required to establish environmental flows. In addition, tools should characterize past, present and future consequences of altered flows and non-flow variables to social and ecological management objectives. PROBFLO is a risk assessment method designed to meet best practice principles for regional-scale holistic E-flow assessments. The approach has been developed in Africa and applied across the continent.
Katrina E. Bennett, Theodore J. Bohn, Kurt Solander, Nathan G. McDowell, Chonggang Xu, Enrique Vivoni, and Richard S. Middleton
Hydrol. Earth Syst. Sci., 22, 709–725, https://doi.org/10.5194/hess-22-709-2018, https://doi.org/10.5194/hess-22-709-2018, 2018
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We applied the Variable Infiltration Capacity hydrologic model to examine scenarios of change under climate and landscape disturbances in the San Juan River basin, a major sub-watershed of the Colorado River basin. Climate change coupled with landscape disturbance leads to reduced streamflow in the San Juan River basin. Disturbances are expected to be widespread in this region. Therefore, accounting for these changes within the context of climate change is imperative for water resource planning.
Fernando Jaramillo, Neil Cory, Berit Arheimer, Hjalmar Laudon, Ype van der Velde, Thomas B. Hasper, Claudia Teutschbein, and Johan Uddling
Hydrol. Earth Syst. Sci., 22, 567–580, https://doi.org/10.5194/hess-22-567-2018, https://doi.org/10.5194/hess-22-567-2018, 2018
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Which is the dominant effect on evapotranspiration in northern forests, an increase by recent forests expansion or a decrease by the water use response due to increasing CO2 concentrations? We determined the dominant effect during the period 1961–2012 in 65 Swedish basins. We used the Budyko framework to study the hydroclimatic movements in Budyko space. Our findings suggest that forest expansion is the dominant driver of long-term and large-scale evapotranspiration changes.
Jie Zhu, Ge Sun, Wenhong Li, Yu Zhang, Guofang Miao, Asko Noormets, Steve G. McNulty, John S. King, Mukesh Kumar, and Xuan Wang
Hydrol. Earth Syst. Sci., 21, 6289–6305, https://doi.org/10.5194/hess-21-6289-2017, https://doi.org/10.5194/hess-21-6289-2017, 2017
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Forested wetlands provide myriad ecosystem services threatened by climate change. This study develops empirical hydrologic models by synthesizing hydrometeorological data across the southeastern US. We used global climate projections to model hydrological changes for five wetlands. We found all wetlands are predicted to become drier by the end of this century. This study suggests that climate change may substantially affect wetland biogeochemical cycles and other functions in the future.
Guiomar Ruiz-Pérez, Julian Koch, Salvatore Manfreda, Kelly Caylor, and Félix Francés
Hydrol. Earth Syst. Sci., 21, 6235–6251, https://doi.org/10.5194/hess-21-6235-2017, https://doi.org/10.5194/hess-21-6235-2017, 2017
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Plants are shaping the landscape and controlling the hydrological cycle, particularly in arid and semi-arid ecosystems. Remote sensing data appears as an appealing source of information for vegetation monitoring, in particular in areas with a limited amount of available field data. Here, we present an example of how remote sensing data can be exploited in a data-scarce basin. We propose a mathematical methodology that can be used as a springboard for future applications.
Rui Rivaes, Isabel Boavida, José M. Santos, António N. Pinheiro, and Teresa Ferreira
Hydrol. Earth Syst. Sci., 21, 5763–5780, https://doi.org/10.5194/hess-21-5763-2017, https://doi.org/10.5194/hess-21-5763-2017, 2017
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We analyzed the influence of considering riparian requirements for the long-term efficiency of environmental flows. After a decade, environmental flows disregarding riparian requirements promoted riparian degradation and consequently the change in the hydraulic characteristics of the river channel and the modification of the available habitat area for fish species. Environmental flows regarding riparian vegetation requirements were able to sustain the fish habitat close to the natural condition.
José María Santiago, Rafael Muñoz-Mas, Joaquín Solana-Gutiérrez, Diego García de Jalón, Carlos Alonso, Francisco Martínez-Capel, Javier Pórtoles, Robert Monjo, and Jaime Ribalaygua
Hydrol. Earth Syst. Sci., 21, 4073–4101, https://doi.org/10.5194/hess-21-4073-2017, https://doi.org/10.5194/hess-21-4073-2017, 2017
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High-time-resolution models for streamflow and stream temperature are used in this study to predict future brown trout habitat loss. Flow reductions falling down to 51 % of current values and water temperature increases growing up to 4 ºC are predicted. Streamflow and temperature will act synergistically affecting fish. We found that the thermal response of rivers is influenced by basin geology and, consequently, geology will be also an influent factor in the cold-water fish distribution shift.
Cited articles
Abrahams, A. D., Parsons, A. J., and Wainwright, J.: Resistance to overland flow on semiarid grassland and shrubland hillslopes, Walnut Gulch, southern Arizona., J. Hydrol., 156, 431–446, 1994.
Allan, J. A.: Virtual Water: A Strategic Resource Global Solutions to Regional Deficits, Ground Water, 36, 545–546, https://doi.org/10.1111/j.1745-6584.1998.tb02825.x, 1998.
Alsdorf, D. E., Melack, J. M., Dunne, T., Mertes, L. A. K., Hess, L. L., and Smith, L. C.: Interferometric radar measurements of water level changes on the Amazon flood plain, Nature, 404, 174–177, 2000.
Archer, N., Quinton, J., and Hess, T.: Below-ground relationships of soil texture, roots and hydraulic conductivity in two-phase mosaic vegetation in South-east Spain., J. Arid Environ., 52, 535–553, 2002.
Archer, S., Schimel, D., and Holland, E.: Mechanisms of shrubland expansion: landuse, climate or CO2?, Climatic Change, 29, 91–99, 1995.
Archer, S., Boutton, T. W., and Hibbard, K. A.: Trees in grasslands: biogeochemical consequences of woody plant expansion, in: Global Biogeochemical Cycles in the Climate Systems, edited by: Schulze, E. D., Heimann, M., Harrison, S., Holland, E., Lloyd, J., Prentice, C., and Schimel, D., Academic Press, San Diego, California, 115–130, 2001.
Austin, A. T., Yahdjian, L., Stark, J. M., Belnap, J., Porporato, A., Norton, U., Ravetta, D. A., and Schaeffer, S. M.: Water pulses and biogeochemical cycles in arid and semiarid ecosystems, Oecologia, 141, 221–235, 2004.
Badeck, F. W., Bondeau, A., Bottcher, K., Doktor, D., Lucht, W., Schaber, J., and Sitch, S.: Responses of spring phenology to climate change, New Phytologist, 162, 295–309, 2004.
Barger, N. N., Archer, S. R., Campbell, J. L., Huang, C. y., Morton, J. A., and Knapp, A. K.: Woody plant proliferation in North American drylands: A synthesis of impacts on ecosystem carbon balance, J. Geophys. Res., 116, G00K07, https://doi.org/10.1029/2010JG001506, 2011.
Becker, A. and Braun, P.: Disaggregation, aggregation and spatial scaling in hydrological modelling, J. Hydrol., 217, 239–252, https://doi.org/10.1016/s0022-1694(98)00291-1, 1999.
Beltran-Przekurat, A., Pielke, R., Peters, D., Snyder, K., and Rango, A.: Modeling the effects of historical vegetation change on near-surface atmosphere in the northern Chihuahuan Desert, J. Arid Environ., 72, 1897–1910, https://doi.org/10.1016/j.jaridenv.2008.05.012, 2008.
Bergström, S. and Graham, L. P.: On the scale problem in hydrological modelling, J. Hydrol., 211, 253–265, https://doi.org/10.1016/s0022-1694(98)00248-0, 1998.
Bhark, E. and Small, E.: Association between plant canopies and the spatial patterns of infiltration in shrubland and grassland of the Chihuahuan Desert, New Mexico, Ecosystems, 6, 185–196, 2003.
Blöschl, G. and Sivapalan, M.: Scale issues in hydrological modelling: A review, Hydrol. Process., 9, 251–290, https://doi.org/10.1002/hyp.3360090305, 1995.
Bochet, E., Rubio, J. L., and Poesen, J.: Modified topsoil islands within patchy Mediterranean vegetation in SE Spain, Catena, 38, 23–44, 1999.
Boyd, D., Almond, S., Dash, J., Curran, P., and Hill, R.: Phenology of vegetation in southern england from envisat meris terrestrial chlorophyll index (MTCI) data, Int. J. Remote Sens., 32, 8421–8447, https://doi.org/10.1080/01431161.2010.542194, 2011.
Bradley, B. and Mustard, J.: Comparison of phenology trends by land cover class: a case study in the Great Basin, USA, Global Change Biol., 14, 334–346, 2008.
Branson, F. A., Gifford, G. F., and Owen, J. R.: Rangeland Hydrology, Range Science, 1, Society for Range Management, Denver, Colorado, 1972.
Breshears, D. D., Whicker, J. J., Zou, C. B., Field, J. P., and Allen, C. D.: A conceptual framework for dryland aeolian sediment transport along the grassland-forest continuum: Effects of woody plant canopy cover and disturbance, Geomorphology, 105, 28–38, 2009.
Brinkmann, K., Dickhoefer, U., Schlecht, E., and Buerkert, A.: Quantification of aboveground rangeland productivity and anthropogenic degradation on the Arabian Peninsula using Landsat imagery and field inventory data, Remote Sens. Environ., 115, 465–474, https://doi.org/10.1016/j.rse.2010.09.016, 2011.
Carr, J., D'Odorico, P., Laio, F., and Ridolfi, L.: On the temporal variability of the virtual water network, Geophys. Res. Lett., 39, L06404, https://doi.org/410.01029/02012GL051247, 2012.
Chang, M.: Forest Hydrology: an introduction to water and forests, CRC Press, 2002.
Chapagain, A. and Hoekstra, A.: Water footprints of nations Volume 1: Main Report, value of water research report series No. 16, UNESCO-IHE, Delft The Netherlands, 2004.
Charley, J. L. and West, N. E.: Plant-induced soil chemical patterns in some shrub-dominated semi-desert ecosystems of Utah, J. Ecol., 63, 945–963, 1975.
Craig, H. and Gordon, L. I.: Deuterium and oxygen-18 variations in the ocean and marine atmosphere, in: Proceedings of the conference on stable isotopes in oceanographic studies and paleotemperatures, edited by: Tongiorgi, E., Laboratory of Geology and Nuclear Science, Pisa, 9–130, 1965.
Crouse, R. P., Corbett, E. S., and Seegrist, D. W.: Methods of measuring and analysing rainfall interception by grass, International Association of Scientific Hydrologists Bulletin, 11, 110–120, 1966.
D'Odorico, P., Laio, F., Porporato, A., Ridolfi, L., Rinaldo, A., and Rodriguez-Iturbe, I.: Ecohydrology of terrestrial ecosystems, BioScience, 60, 898–907, 2010a.
D'Odorico, P., Laio, F., and Ridolfi, L.: Does globalization of water reduce societal resilience to drought?, Geophys. Res. Lett., 37, L13403, https://doi.org/410.11029/12010GL043167, 2010b.
D'Odorico, P., Fuentes, J. D., Pockman, W. T., Collins, S. L., He, Y., Medeiros, J. S., DeWekker, S., and Litvak, M. E.: Positive feedback between microclimate and shrub encroachment in the northern Chihuahuan desert, Ecosphere, 1, art17, https://doi.org/10.1890/ES10-00073.1, 2010c.
D'Odorico, P., Bhattachan, A., Davis, K., Ravi, S., and Runyan, C.: Global desertification: drivers and feedbacks, Adv. Water Resour., https://doi.org/10.1016/j.advwatres.2012.01.013, 2012.
Domingues, T., Martinelli, L., and Ehleringer, J.: Ecophysiological traits of plant functional groups in forest and pasture ecosystems from eastern Amazonia, Brazil, Plant Ecol., 193, 101–112, https://doi.org/10.1007/s11258-006-9251-z, 2007.
du Plessis, W.: Linear regression relationships between NDVI, vegetation and rainfall in Etosha National Park, Namibia, J. Arid Environ., 42, 235–260, 1999.
Dunkerley, D. L.: Hydrological effects of dryland shrubs: defining the spatial extent of modified soil water uptake rates at an Australian desert site, J. Arid Environ., 45, 159–172, 2000.
Eldridge, D. J., Wilson, B. R., and Oliver, I.: Regrowth and soil erosion in the semi-arid woodlands of New South Wales, NSW Department of Land and Water Conservation, Sydney, 2003.
Eldridge, D. J., Bowker, M. A., Maestre, F. T., Alonso, P., Mau, R. L., Papadopoulos, J., and Escudero, A.: Interactive effects of three ecosystem engineers on infiltration in a semi-arid mediterranean grassland, Ecosystems, 13, 499–510, 2010.
Eldridge, D. J., Bowker, M. A., Maestre, F. T., Roger, E., Reynolds, J. F., and Whitford, W. G.: Impacts of shrub encroachment on ecosystem structure and functioning: towards a global synthesis, Ecol. Lett., 14, 709–722, https://doi.org/10.1111/j.1461-0248.2011.01630.x, 2011.
Evans, J. and Geerken, R.: Discrimination between climate and human-induced dryland degradation, J. Arid Environ., 57, 535–554, 2004.
Evans, J. and Geerken, R.: Classifying rangeland vegetation type and coverage using a Fourier component based similarity measure, Remote Sens. Environ., 105, 1–8, 2006.
Falkenmark, M. and Rockström, J.: Balancing water for humans and nature : the new approach in ecohydrology, Earthscan Publications, London, 2004.
Falkenmark, M. and Rockström, J.: Building resilience to drought in desertification-prone savannas in Sub-Saharan Africa: The water perspective, Natural Resources Forum, 32, 93–102, 2008.
FAO: Food Security Statistics, Food and Agriculture Organization of the United Nations, Rome, Italy, 2006a.
FAO: Conservation Agriculture for SARD and Food Security in Southern and Eastern Africa (Kenya and Tanzania): Project Findings and Recommendations, Food and Agriculture Organziation, Rome, 2006b.
Fedoroff, N. V., Battisti, D. S., Beachy, R. N., Cooper, P. J. M., Fischhoff, D. A., Hodges, C. N., Knauf, V. C., Lobell, D., Mazur, B. J., Molden, D., Reynolds, M. P., Ronald, P. C., Rosegrant, M. W., Sanchez, P. A., Vonshak, A., and Zhu, J.-K.: Radically rethinking agriculture for the 21st century, Science, 327, 833–834, https://doi.org/10.1126/science.1186834, 2010.
Gat, J.: Oxygen and hydrogen isotopes in the hydrologic cycle, Annu. Rev. Earth Pl. Sc., 24, 225–262, 1996.
Geerken, R.: An algorithm to classify and monitor seasonal variations in vegetation phenologies and their inter-annual change, ISPRS J. Photogramm., 64 422–431, 2009.
Geerken, R. and Ilaiwi, M.: Assessment of rangeland degradation and development of a strategy for rehabilitation, Remote Sens. Environ., 90, 490–504, 2004.
Geerken, R., Zaitchik, B., and Evans, J.: Classifying rangeland vegetation type and coverage from NDVI time series using Fourier Filtered Cycle Similarity, Int. J. Remote Sens., 26, 5535–5554, 2005.
Gerrits, A. M. J., Savenije, H. H. G., Hoffmann, L., and Pfister, L.: New technique to measure forest floor interception – an application in a beech forest in Luxembourg, Hydrol. Earth Syst. Sci., 11, 695–701, https://doi.org/10.5194/hess-11-695-2007, 2007.
Gilbert, N.: United Nations considers creating advisory panel on land degradation akin to IPCC, Nature, 477, 262–264, https://doi.org/10.1038/477262a, 2011.
Good, S., Soderberg, K., Wang, L., and Caylor, K.: Uncertainties in the assessment of the isotopic composition of surface fluxes: A direct comparison of techniques using laser-based water vapor isotope analyzers, Journal of Geophysical Research, 117, D15301, https://doi.org/10.1029/2011JD017168, 2012.
Grace, J., José, J. S., Meir, P., Miranda, H. S., and Montes, R. A.: Productivity and carbon fluxes of tropical savannas, J. Biogeogr., 33, 387–400, https://doi.org/10.1111/j.1365-2699.2005.01448.x, 2006.
Grayson, R., Western, A., Chiew, F., and Blöschl, G.: Preferred states in spatial soil moisture patterns: local and nonlocal controls, Water Resour. Res., 33, 2897–2908, 1997.
Griffis, T. J., Sargent, S. D., Lee, X., Baker, J. M., Greene, J., Erickson, M., Zhang, X., Billmark, K., Schultz, N., Xiao, W., and Hu, N.: Determining the oxygen isotope composition of evapotranspiration using eddy covariance, Bound.-Lay. Meteorol., 137, 307–326, https://doi.org/10.1007/s10546-010-9529-5, 2010.
Guswa, A. J., Celia, M. A., and Rodriguez-Iturbe, I.: Models of soil moisture dynamics in ecohydrology: A comparative study, Water Resour. Res., 38, 1166, https://doi.org/10.1029/2001wr000826, 2002.
Hanjra, M. and Qureshi, M.: Global water crisis and future food security in an era of climate change, Food Policy, 35, 365–377, 2010.
Hansen, M., DeFries, R., Townshend, J., and Sohlberg, R.: Global land cover classification at 1 km spatial resolution using a classification tree approach, Int. J. Remote Sens., 21, 1331–1364, 2000.
Harrington, G. N., Dawes, G. T., and Ludwig, J.: Vegetation patterns in a semi-arid eucalypt woodland in north-west NSW, Aust. J. Ecol., 6, 279–287, 1981.
He, Y., D'Odorico, P., Wekker, S. D., Fuentes, J., and Litvak, M.: On the impact of shrub encroachment on microclimate conditions in the northern Chihuahuan desert, J. Geophys. Res., 115, D21120, https://doi.org/10.1029/2009JD013529, 2010.
Herrmann, S. M., Anyamba, A., and Tucker, C. J.: Recent trends in vegetation dynamics in the African Sahel and their relationship to climate, Global Environ. Change, 15, 394–404, 2005.
Hielkema, J., Prince, S., and Astle, W.: Rainfall and vegetation monitoring in the savanna zone of the democratic-republic of Sudan using the NOAA advanced very high-resolution radiometer, Int. J. Remote Sens., 7, 1499–1513, 1986.
Hoeben, R. and Troch, P. A.: Assimilation of active microwave observation data for soil moisture profile estimation, Water Resour. Res., 36, 2805–2819, 2000.
Hoekstra, A. Y. and Mekonnen, M. M.: The water footprint of humanity, Proc. Natl. Acad. Sci., 109, 3232–3237, https://doi.org/10.1073/pnas.1109936109, 2012.
Huxman, T., Wilcox, B., Breshears, D. D., Scott, R. L., Snyder, K. A., Small, E. E., Hultine, K., Pittermann, J., and Jackson, R.: Ecohydrological implications of woody plant encroachment, Ecology, 86, 308–319, https://doi.org/10.1890/03-0583, 2005.
Jackson, R. B., Jobbágy, E. G., and Nosetto, M. D.: Ecohydrology in a human-dominated landscape, Ecohydrology, 2, 383–389, https://doi.org/10.1002/eco.81, 2009.
Jimenez, C.: Global inter-comparison of selected 1993-1995 monthly averaged land surface heat fluxes, J. Geophys. Res., 116, Cited By (since 1996) 1 Export Date 4 August 2011, 2011.
Johns, G. G.: Hydrological processes and herbage production in shrub invaded poplar box (Eucalyptus populnea) woodlands, Australian Rangeland Journal, 3, 45–55, 1981.
Jones, M. O., Jones, L. A., Kimball, J. S., and McDonald, K. C.: Satellite passive microwave remote sensing for monitoring global land surface phenology, Remote Sens. Environ., 115, 1102–1114, 2011.
Kalma, J. D., McVicar, T. R., and McCabe, M. F.: Estimating land surface evaporation: A review of methods using remotely sensed surface temperature data, Surveys in Geophysics, 29, 421–469, Cited By (since 1996) 53 Export Date 4 August 2011, 2008.
Ko, J., Ahuja, L. R., Saseendran, S. A., Green, T. R., Ma, L., Nielsen, D. C., and Walthall, C. L.: Climate change impacts on dryland cropping systems in the Central Great Plains, USA, Climatic Change, 111, 445–472, 2012.
Kummerow, C., Simpson, J., Thiele, O., Barnes, J., Chang, A. T. C., Stocker, E., Adler, R. F., and Hou, A.: The status of the Tropical Rainfall Measuring Mission (TRMM) after two years in orbit, J. Appl. Meteorol., 39, 1965–1982, 2000.
Lai, C., Ehleringer, J., Bond, B., and Paw U, K.: Contributions of evaporation, isotopic non-steady state transpiration and atmospheric mixing on the delta 18O of water vapour in Pacific Northwest coniferous forests, Plant Cell Environ., 29, 77–94, 2005.
Lee, X., Sargent, S., Smith, R., and Tanner, B.: In situ measurement of the water vapor 18O/16O isotope ratio for atmospheric and ecological applications, J. Atmos. Ocean. Technol., 22, 555–565, 2005.
Lenat, D. and Crawford, J. K.: Effects of land use on water quality and aquatic biota of three North Carolina Piedmont streams, Hydrobiologia, 294, 185–199, https://doi.org/10.1007/bf00021291, 1994.
Lettenmaier, D. P. and Famiglietti, J. S.: Hydrology: Water from on high, Nature, 444, 562–563, 2006.
Li, J., Okin, G., Alvarez, L., and Epstein, H.: Quantitative effects of vegetation cover on wind erosion and soil nutrient loss in a desert grassland of southern New Mexico, USA, Biogeochemistry, 85, 317–332, 2007.
Liu, J.: Consumptive water use in cropland and its partitioning: a high-resolution assessment, Science in China Series E: Technological Sciences, 52, 3309–3314, 2009.
Liu, J. and Savenije, H. H. G.: Food consumption patterns and their effect on water requirement in China, Hydrol. Earth Syst. Sci., 12, 887–898, https://doi.org/10.5194/hess-12-887-2008, 2008.
Liu, J., Yang, H., and Savenije, H. H. G.: China's move to higher-diet hits water security, Nature, 454, 397, 2008.
Liu, Y., Evans, J. P., McCabe, M. F., Jeu, R. A. M. d., Dijk, A. I. J. M. v., Dolman, A. J., and Saize, I.: Drying and overgrazing decimate Mongolia's steppe, in prep., 2012.
Liu, Y. Y., Parinussa, R. M., Dorigo, W. A., De Jeu, R. A. M., Wagner, W., van Dijk, A. I. J. M., McCabe, M. F., and Evans, J. P.: Developing an improved soil moisture dataset by blending passive and active microwave satellite-based retrievals, Hydrol. Earth Syst. Sci., 15, 425–436, https://doi.org/10.5194/hess-15-425-2011, 2011a.
Liu, Y. Y., De Jeu, R. A. M., McCabe, M. F., Evans, J. P., and Van Dijk, A. I. J. M.: Global long-term passive microwave satellite-based retrievals of vegetation optical depth, Geophys. Res. Lett., 38, L18402, https://doi.org/10.1029/2011GL048684, 2011b.
Lobell, D. B., Burke, M. B., Tebaldi, C., Mastrandrea, M. D., Falcon, W. P., and Naylor, R. L.: Prioritizing climate change adaptation needs for food security in 2030, Science, 319, 607–610, 2008.
Loik, M., Breshears, D. D., Lauenroth, W., and Belnap, J.: A multi-scale perspective of water pulses in dryland ecosystems: climatology and ecohydrology of the western USA, Oecologia, 141, 269–281, 10.1007/s00442-004-1570-y, 2004.
McAlpine, C., Syktusw, J., Ryan, J., Deo, R., McKeon, G., McGowan, H., and Phinn, S.: A continent under stress: interactions, feedbacks and risks associated with impact of modified land cover on Australia's climate, Global Change Biol., 15, 2206–2223, 2009.
McCabe, M. F. and Wood, E. F.: Scale influences on the remote estimation of evapotranspiration using multiple satellite sensors, Remote Sens. Environ., 105, 271–285, 2006.
McCabe, M. F., Gao, H., and Wood, E. F.: Evaluation of AMSR-E-derived soil moisture retrievals using ground-based and PSR airborne data during SMEX02, J. Hydrometeorol., 6, 864–877, 2005.
McCabe, M. F., Wood, E. F., Wojcik, R., Pan, M., Sheffield, J., Gao, H., and Su, H.: Hydrological consistency using multi-sensor remote sensing data for water and energy cycle studies, Remote Sens. Environ., 112, 430–444, 2008.
McVicar, T. R. and Jupp, D. L. B.: The current and potential operational uses of remote sensing to aid decisions on drought exceptional circumstances in Australia: a review, Agr. Syst., 57, 399–468, https://doi.org/10.1016/s0308-521x(98)00026-2, 1998.
MEA: Ecosystems and human well-being: desertification synthesis, World Resources Institute, Washington, DC, 2005.
Miller, G., Cable, J., McDonald, A., Bond, B., Franz, T., Wang, L., Gou, S., Tyler, A., Zou, C., and Scott, R.: Understanding ecohydrological connectivity in savannas: a system dynamics modeling approach, Ecohydrology, 5, 200–220, 2012.
Miralles, D. G., De Jeu, R. A. M., Gash, J. H., Holmes, T. R. H., and Dolman, A. J.: Magnitude and variability of land evaporation and its components at the global scale, Hydrol. Earth Syst. Sci., 15, 967–981, https://doi.org/10.5194/hess-15-967-2011, 2011.
Morgan, J. A., LeCain, D. R., Pendall, E., Blumenthal, D. M., Kimball, B. A., Carrillo, Y., Williams, D. G., Heisler-White, J., Dijkstra, F. A., and West, M.: C4 grasses prosper as carbon dioxide eliminates desiccation in warmed semi-arid grassland, Nature, 476, 202–205, 2011.
Moss, A. J. and Green, T. W.: Erosive effects of the large water drops (gravity drops). that fall from plants, Aust. J. Soil Res., 25, 9–20, 1978.
Mueller, B., Seneviratne, S. I., Jimenez, C., Corti, T., Hirschi, M., Balsamo, G., Ciais, P., Dirmeyer, P., Fisher, J. B., Guo, Z., Jung, M., Maignan, F., McCabe, M. F., Reichle, R., Reichstein, M., Rodell, M., Sheffield, J., Teuling, A. J., Wang, K., Wood, E. F., and Zhang, Y.: Evaluation of global observations-based evapotranspiration datasets and IPCC AR4 simulations, Geophys. Res. Lett., 38, L06402, https://doi.org/10.1029/2010GL046230, 2011.
Mwale, F. D.: Drought impact on maize production in Malawi, MS, International Institute for Infrastructural, Hydraulic and Environmental Engineering, Delft, The Netherlands, 2003.
Notenbaert, A., Herrero, M., Kruska, R. L., You, L., Wood, S., Thornton, P. E., and Omolo, A.: Classifying livestock production systems for targeting agricultural research and development in a rapidly changing world. ILRI Discussion Paper 19, ILRI (International Livestock Research Institute), Nairobi, 2009.
Noy-Meir, I.: Desert ecosystems: environment and producers, Annu. Rev. Ecol. Systemat., 4, 25–51, 1973.
Ohmura, A. and Wild, M.: Is the hydrological cycle accelerating?, Science, 298, 1345–1346, https://doi.org/10.1126/science.1078972, 2002.
Pan, M., Wood, E. F., Wojcik, R., and McCabe, M. F.: Estimation of regional terrestrial water cycle using multi-sensor remote sensing observations and data assimilation, Remote Sens. Environ., 112, 1282–1294, 2008.
Patricola, C. and Cook, K.: Northern African climate at the end of the 21st century: integrated application of regional and global climate models, Clim. Dynam., 35, 193–212, 2010.
Paudel, K. P. and Andersen, P.: Assessing rangeland degradation using multi temporal satellite images and grazing pressure surface model in Upper Mustang, Trans Himalaya, Nepal, Remote Sens. Environ., 114, 1845–1855, https://doi.org/10.1016/j.rse.2010.03.011, 2010.
Pauwels, V. R. N., Hoeben, R., Verhoest, N. E. C., and De Troch, F. P.: The importance of the spatial patterns of remotely sensed soil moisture in the improvement of discharge predictions for small-scale basins through data assimilation, J. Hydrol., 251, 88–102, 2001.
Propastin, P. and Kappas, M.: Reducing uncertainty in modeling the NDVI-precipitation relationship: a comparative study using global and local regression techniques, GIScience Remote Sens., 45, 47–67, https://doi.org/10.2747/1548-1603.45.1.47, 2008.
Puigdefébregas, J. and Sanchez, G.: Geomorphological implications of vegetation patchiness on semi-arid slopes. In Advances in Hillslope Processes, in: Advances in Hillslope Processes, edited by: Anderson, M. G. and Brooks, S. M., Wiley, Chichester, UK, 1027–1060, 1996.
Ravi, S., D'Odorico, P., Wang, L., and Collins, S. L.: Form and function of grass ring patterns in arid grasslands: the role of abiotic controls, Oecologia, 158, 545–555, 2008.
Ravi, S., D'Odorico, P., Wang, L., White, C. S., Okin, G. S., Macko, S. A., and Collins, S. L.: Post-fire resource redistribution in desert grasslands: a possible negative feedback on land degradation, Ecosystems, 12, 434–444, 2009.
Raz-Yaseef, N., Yakir, D., Schiller, G., and Cohen, S.: Dynamics of evapotranspiration partitioning in a semi-arid forest as affected by temporal rainfall patterns, Agr. Forest Meteorol., 157, 77–85, https://doi.org/10.1016/j.agrformet.2012.01.015, 2012.
Reid, K. D., Bradford, P. W., Breshears, D. O., and MacDonald, L.: Runoff and erosion in a piñon-juniper woodland: influence of vegetation patches, Soil Sci. Soc. Am. J., 63, 1869–1879, 1999.
Reynolds, J., Smith, D. S., Lambin, E., Turner, B., Mortimore, M., Batterbury, S., Downing, T., Dowlatabadi, H., Fernández, R., Herrick, J., Huber-Sannwald, E., Leemans, R., Lynam, T., Maestre, F., Ayarza, M., and Walker, B.: Global desertification: building a science for dryland development, Science, 316, 847–851, 2007.
Robinson, D. A., Campbell, C. S., Hopmans, J. W., Hornbuckle, B. K., Jones, S. B., Knight, R., Ogden, F., Selker, J., and Wendroth, O.: Soil Moisture Measurement For Ecological And Hydrological Watershed-scale Observatories: A Review, Vadose Zone J., 7, 358–389, https://doi.org/10.2136/vzj2007.0143, 2008.
Robinson, T., Thornton, P. E., Franceschini, G., Kruska, R. L., Chlozza, F., Notenbaert, A., Cecchi, G., Herrero, M., Epprecht, M., Fritz, S., You, L., Conchedda, G., and See, L.: Global livestock production systems, Food and Agriculture Organization of the United Nations (FAO) and International Livestock Research Institute (ILRI), Rome, 2011.
Rockström, J., Lannerstad, M., and Falkenmark, M.: Assessing the water challenge of a new green revolution in developing countries, Proceedings of the National Academy of Sciences of the United States of America, 104, 6253–6260, https://doi.org/10.1073/pnas.0605739104, 2007.
Rodriguez-Iturbe, I.: Ecohydrology: A hydrologic perspective of climate-soil-vegetation dynamics, Water Resour. Res., 36, 3–9, 2000.
Rodriguez-Iturbe, I., Vogel, G. K., Rigon, R., Entekhabi, D., Castelli, F., and Rinaldo, A.: On the spatial organization of soil moisture fields, Geophys. Res. Lett., 22, 2757–2760, 1995.
Rodriguez-Iturbe, I., D'Odorico, P., Porporato, A., and Ridolfi, L.: On the spatial and temporal links between vegetation, climate, and soil moisture, Water Resour. Res., 35, 3709–3722, 1999.
Savenije, H. H. G.: The importance of interception and why we should delete the term evapotranspiration from our vocabulary, Hydrol. Process., 18, 1507–1511, https://doi.org/10.1002/hyp.5563, 2004.
Scanlon, B. R., Levitt, D. G., Reedy, R. C., Keese, K. E., and Sully, M. J.: Ecological controls on water-cycle response to climate variability in deserts, Proc. Natl. Acad. Sci., 102, 6033–6038, https://doi.org/10.1073/pnas.0408571102, 2005.
Schlenker, W. and Lobell, D.: Robust negative impacts of climate change on African agriculture, Environ. Res. Lett., 5, 014010 https://doi.org/10.011088/011748-019326/014015/014011/014010, 2010.
Schlesinger, W. H., Reynolds, J. E., Cunningham, G. L., Huenneke, L. E., Jarrell, W. M., Virginia, R. A., and Whitford, W. G.: Biological feedbacks in global desertification, Science, 247, 1043–1048, 1990.
Schlesinger, W. H., Raikes, J. A., Hartley, A. E., and Cross, A. F.: On the spatial pattern of soil nutrients in desert ecosystems, Ecology, 77, 364–374, 1996.
Schmidt, H. and Karnieli, A.: Remote sensing of the seasonal variability of vegetation in a semi-arid environment, J. Arid Environ., 45, 43–59, 2000.
Schultz, N. M., Griffis, T. J., Lee, X., and Baker, J. M.: Identification and correction of spectral contamination in 2H/1H and 18O/16O measured in leaf, stem, and soil water, Rapid Commun. Mass Sp., 25, 3360–3368, 2011.
Seekell, D., D'Odorico, P., and Pace, M.: Virtual water transfers unlikely to redress inequality in global water use, Environ. Res. Lett., 6, 024017, https://doi.org/10.1088/1748-9326/6/2/024017, 2011.
Seyfried, M. and Wilcox, B.: Scale and the nature of spatial variability: field examples having implications for hydrologic modeling, Water Resour. Res., 31, 173–184, 1995.
Sheffield, J. and Wood, E. F.: Characteristics of global and regional drought, 1950–2000: Analysis of soil moisture data from off-line simulation of the terrestrial hydrologic cycle, J. Geophys. Res., 112, D17115, https://doi.org/10.1029/2006JD008288, 2007.
Sheffield, J. and Wood, E. F.: Global trends and variability in soil moisture and drought characteristics, 1950-2000, from observation-driven simulations of the terrestrial hydrologic cycle, J. Climate, 21, 432–458, 2008.
Sheffield, J., Ferguson, C. R., Troy, T. J., Wood, E. F., and McCabe, M. F.: Closing the terrestrial water budget from satellite remote sensing, Geophys. Res. Lett., 36, L07403, https://doi.org/10.1029/2009GL037338, 2009.
Simard, M., Pinto, N., Fisher, J. B., and Baccini, A.: Mapping forest canopy height globally with spaceborne lidar, J. Geophys. Res. G: Biogeosciences, 116, G04021, https://doi.org/10.1029/2011JG001708, 2011.
Singh, N. and Glenn, N.: Multitemporal spectral analysis for cheatgrass (Bromus tectorum) classification, Int. J. Remote Sens., 30, 3441–3462, https://doi.org/10.1080/01431160802562222, 2009.
Small, E. and Kurc, S.: Tight coupling between soil moisture and the surface radiation budget in semiarid environments: Implications for land-atmosphere interactions, Water Resour. Res., 39, 1278, https://doi.org/10.1029/2002WR001297, 2003.
Smit, C., Vandenberghe, C., den Ouden, J., and Muller-Scharer, H.: Nurse plants, tree saplings and grazing pressure: changes in facilitation along a biotic environmental gradient, Oecologia, 152, 265–273, 2007.
Sobrino, J. A. and El Kharraz, M. H.: Combining afternoon and morning NOAA satellites for thermal inertia estimation 1. Algorithm and its testing with Hydrologic Atmospheric Pilot Experiment-Sahel data, J. Geophys. Res., 104, 9445–9453, 1999.
Soderberg, K., Good, S. P., Wang, L., and Caylor, K.: Stable isotopes of water vapor in the vadose zone: A review of measurement and modeling techniques, Vadose Zone J., in press, https://doi.org/10.2136/vzj2011.0165, 2012.
Solomon, S., Qin, D., Manning, M., Chen, Z., Marquis, M., Averyt, K., Tignor, M., and Miller, H.: IPCC, 2007: Climate Change 2007: The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge University Press, Cambridge and New York, 996 pp., 2007.
Stisen, S., Sandholt, I., Nørgaard, A., Fensholt, R., and Jensen, K. H.: Combining the triangle method with thermal inertia to estimate regional evapotranspiration – Applied to MSG-SEVIRI data in the Senegal River basin, Remote Sens. Environ., 112, 1242–1255, 2008.
Strzepek, K. and Boehlert, B.: Competition for water for the food system, Philos. T. R. Soc. B, 365, 2927–2940, https://doi.org/10.1098/rstb.2010.0152, 2010.
Thornton, P. K., Jones, P. G., Owiyo, T., Kruska, R. L., Herrero, M., Kristjanson, P., Notenbaert, A., Bekele, N., and Omolo, A.: Mapping climate vulnerability and poverty in Africa: Report to the Department for International development, ILRI, Nairobi, 171 pp., 2006.
Thurow, T. L.: Hydrology and erosion, in: Grazing Management: an Ecological Perspective, edited by: Heitschmidt, R. K. and Stuth, J. W., Timber Press, Portland, Oregon, 1991.
Tietjen, B., Jeltsch, F., Zehe, E., Classen, N., Groengroeft, A., Schiffers, K., and Oldeland, J.: Effects of climate change on the coupled dynamics of water and vegetation in drylands, Ecohydrology, 3, 226–237, https://doi.org/10.1002/eco.70, 2010.
Tongway, D.: Monitoring soil productive potential, Environm. Monit. Assess., 37, 309–318, 1995.
Tongway, D. J., Valentin, C. J., and Seghieri, J.: Banded vegetation patterning in arid and semiarid environments: ecological processes and consequences for management, Springer-Verlag, New York, 2001.
Tunstall, B. R., and Connor, D. J.: Internal water balance of brigalow (Acacia harpophylla F. Muell.) under natural conditions, Aust. J. Plant Physiol., 2, 489–499, 1981.
Twine, T. E., Kucharik, C. J., and Foley, J. A.: Effects of land cover change on the energy and water balance of the Mississippi river basin, J. Hydrometeorol., 5, 640–655, 2004.
UNCCD: United Nations Convention to Combat Desertification, United Nations, Geneva, Switzerland, 58 pp., 1994.
Vörösmarty, C. J., Green, P., Salisbury, J., and Lammers, R. B.: Global Water Resources: Vulnerability from Climate Change and Population Growth, Science, 289, 284–288, https://doi.org/10.1126/science.289.5477.284, 2000.
Wang, J., Price, K., and Rich, P.: Spatial patterns of NDVI in response to precipitation and temperature in the central Great Plains, Int. J. Remote Sens., 22, 3827–3844, 2001.
Wang, L. and D'Odorico, P.: The limits of water pumps, Science, 321, 36–37, 2008.
Wang, L., D'Odorico, P., Ringrose, S., Coetzee, S., and Macko, S.: Biogeochemistry of Kalahari sands, J. Arid Environ., 71, 259–279 https://doi.org/10.1016/j.jaridenv.2007.03.016, 2007.
Wang, L., D'Odorico, P., Manzoni, S., Porporato, A., and Macko, S.: Carbon and nitrogen dynamics in southern African savannas: the effect of vegetation-induced patch-scale heterogeneities and large scale rainfall gradients, Climatic Change, 94, 63–76, https://doi.org/10.1007/s10584-009-9548-8, 2009a.
Wang, L., D'Odorico, P., Okin, G., and Macko, S.: Isotope composition and anion chemistry of soil profiles along the Kalahari Transect, J. Arid Environ., 73, 480–486, https://doi.org/10.1016/j.jaridenv.2008.11.010, 2009b.
Wang, L., Okin, G. S., Caylor, K. K., and Macko, S. A.: Spatial heterogeneity and sources of soil carbon in southern African savannas, Geoderma, 149, 402–408, https://doi.org/10.1016/j.geoderma.2008.12.014, 2009c.
Wang, L., Caylor, K., and Dragoni, D.: On the calibration of continuous, high-precision δ18O and $\delta ^{2}$H measurements using an off-axis integrated cavity output spectrometer, Rapid Commun. Mass Sp., 23, 530–536, https://doi.org/10.1002/rcm.3905, 2009d.
Wang, L., D'Odorico, P., Ries, L., and Macko, S.: Patterns and implications of plant-soil δ13C and δ15N values in African savanna ecosystems, Quaternary Res., 73, 77–83, https://doi.org/10.1016/j.yqres.2008.11.004, 2010a.
Wang, L., Caylor, K. K., Villegas, J. C., Barron-Gafford, G. A., Breshears, D. D., and Huxman, T. E.: Evapotranspiration partitioning with woody plant cover: assessment of a stable isotope technique, Geophys. Res. Lett., 37, L09401, https://doi.org/10.1029/2010GL043228, 2010b.
Wang, L., Zou, C., O'Donnell, F., Good, S., Franz, T., Milller, G., Caylor, K., Cable, J., and Bond, B.: Characterizing ecohydrological and biogeochemical connectivity across multiple scales: a new conceptual framework, Ecohydrology, 5, 221–233, https://doi.org/10.1002/eco.187, 2012a.
Wang, L., Good, S. P., Caylor, K. K., and Cernusak, L.: Direct quantification of leaf transpiration isotopic composition, Agricultural and Forest Meteorology, 154–155, 127–135, https://doi.org/10.1016/j.agrformet.2011.10.018, 2012b.
Wang, L., Niu, S., Good, S., Soderberg, K., Zhou, X., Xia, J., Sherry, R., Luo, Y., Caylor, K., and McCabe, M.: The effect of warming on grassland evapotranspiration partitioning using laser-based isotope monitoring techniques, Geochim. Cosmochim. Ac., in review, 2012c.
Wen, X., Sun, X., Zhang, S., Yu, G., Sargent, S., and Lee, X.: Continuous measurement of water vapor D/H and 18O/16O isotope ratios in the atmosphere, J. Hydrol., 349, 489–500, 2008.
Wessels, K., Prince, S., Malherbe, J., Small, J., Frost, P., and Van Zyl, D.: Can human-induced land degradation be distinguished from the effects of rainfall variability? A case study in South Africa, J. Arid Environ., 68, 271–297, 2007.
Wessels, K. J., Prince, S. D., and Reshef, I.: Mapping land degradation by comparison of vegetation production to spatially derived estimates of potential production, J. Arid Environ., 72, 1940–1949, https://doi.org/10.1016/j.jaridenv.2008.05.011, 2008.
West, A. G., Goldsmith, G. R., Brooks, P. D., and Dawson, T. E.: Discrepancies between isotope ratio infrared spectroscopy and isotope ratio mass spectrometry for the stable isotope analysis of plant and soil waters, Rapid Commun. Mass Sp., 24, 1948–1954, https://doi.org/10.1002/rcm.4597, 2010.
White, M. A., de Beurs, K. M., Didan, K., Inouye, D. W., Richardson, A. D., Jensen, O. P., O'Keefe, J., Zhang, G., Nemani, R. R., van Leeuwen, W. J. D., Brown, J. F., de Wit, A., Schaepman, M., Lin, X., Dettinger, M., Bailey, A. S., Kimball, J., Schwartz, M. D., Baldocchi, D. D., Lee, J. T., and Lauenroth, W. K.: Intercomparison, interpretation, and assessment of spring phenology in North America estimated from remote sensing for 1982–2006, Global Change Biol., 15, 2335–2359, 2009.
Wilcox, B. and Huang, Y.: Woody plant encroachment paradox: Rivers rebound as degraded grasslands convert to woodlands, Geophys. Res. Lett., 37, 1–5, 2010.
Wilcox, B., Breshears, D., and Allen, C. D.: Ecohydrology of a resource-conserving semiarid woodland: effects of scale and disturbance, Ecol. Monogr., 73, 223–239, 2003.
Wood, J. C. and Wood, M. K.: Influence of pinyon juniper and sagebrush control on infiltration rates and runoff water quality in northern New Mexico, New Mexico Journal of Science, 28, 7–20, 1986.
World Bank: Awakening Africa's sleeping giant: prospects for commercial agriculture in the Guinea savannah zone and beyond, New York, 2009.
Wu, X. B., Redeker, E. J., and Thurow, T. L.: Vegetation and water yield dynamics in an Edwards Plateau watershed, J. Range Manage., 54, 98–105, 2001.
Xu, D. Y., Kang, X. W., Zhuang, D. F., and Pan, J. J.: Multi-scale quantitative assessment of the relative roles of climate change and human activities in desertification ,Äì A case study of the Ordos Plateau, China, J. Arid Environ., 74, 498–507, https://doi.org/10.1016/j.jaridenv.2009.09.030, 2010.
Yang, W., Yang, L., and Merchant, J. W.: An assessment of AVHRR/NDVI-ecoclimatological relations in Nebraska, USA, Int. J. Remote Sens., 18, 2161–2180, 1997.
Yepez, E. A., Huxman, T. E., Ignace, D. D., English, N. B., Weltzin, J. F., Castellanos, A. E., and Williams, D. G.: Dynamics of transpiration and evaporation following a moisture pulse in semiarid grassland: A chamber-based isotope method for partitioning flux components, Agr. Forest Meteorol., 132, 359–376, 2005.
Zarovalli, M. P., Yiakoulaki, M. D., and Papanastasis, V. P.: Effects of shrub encroachment on herbage production and nutritive value in semi-arid Mediterranean grasslands, Grass Forage Science, 62, 355–363, 2007.
Zhang, C., Wang, X., Li, J., and Hua, T.: Roles of climate changes and human interventions in land degradation: a case study by net primary productivity analysis in China's Shiyanghe Basin, Environmental Earth Sciences, 64, 2183–2193, 2011.
Zhao, L., Xiao, H., Zhou, J., Wang, L., Cheng, G., Zhou, M., Yin, L., and McCabe, M. F.: Detailed assessment of isotope ratio infrared spectroscopy and isotope ratio mass spectrometry for the stable isotope analysis of plant and soil waters, Rapid Commun. Mass Sp., 25, 3071–3082, 2011.
Zreda, M., Desilets, D., Ferre, T. P. A., and Scott, R. L.: Measuring soil moisture content non-invasively at intermediate spatial scale using cosmic-ray neutrons, Geophys. Res. Lett., 35, L21402, https://doi.org/10.1029/2008GL035655, 2008.
Zreda, M., Shuttleworth, W. J., Zeng, X., Zweck, C., Desilets, D., Franz, T., Rosolem, R., and Ferre, T. P. A.: COSMOS: The COsmic-ray Soil Moisture Observing System, Hydrol. Earth Syst. Sci. Discuss., 9, 4505–4551, https://doi.org/10.5194/hessd-9-4505-2012, 2012.
