Articles | Volume 22, issue 3
https://doi.org/10.5194/hess-22-1851-2018
© Author(s) 2018. 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-22-1851-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
15 Mar 2018
Research article |
| 15 Mar 2018
| 15 Mar 2018
Wetlands inform how climate extremes influence surface water expansion and contraction
Melanie K. Vanderhoof
CORRESPONDING AUTHOR
US Geological Survey, Geosciences and Environmental Change Science Center, P.O. Box 25046, DFC, MS980, Denver, CO 80225, USA
Charles R. Lane
US Environmental Protection Agency, Office of Research and Development, National Exposure Research Laboratory, 26 W. Martin Luther King Dr., MS-642, Cincinnati, OH 45268, USA
Michael G. McManus
US Environmental Protection Agency, Office of Research and Development, National Center for Environmental Assessment, 26 W. Martin Luther King Dr., MS-A110, Cincinnati, OH 45268, USA
Laurie C. Alexander
US Environmental Protection Agency, Office of Research and Development, National Center for Environmental Assessment, 1200 Pennsylvania Ave NW (8623-P), Washington, DC 20460, USA
Jay R. Christensen
US Environmental Protection Agency, Office of Research and Development, National Exposure Research Laboratory, Environmental Science Division, 944 E. Harmon Ave., Las Vegas, NV 89119, USA
Related authors
Melanie K. Vanderhoof, Peter Nieuwlandt, Heather E. Golden, Charles R. Lane, Jay R. Christensen, Will Keenan, and Wayana Dolan
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-119, https://doi.org/10.5194/hess-2024-119, 2024
Manuscript not accepted for further review
Short summary
Short summary
Streamflow signatures can help characterize a watershed’s response to rainfall and snowmelt events. We explored if surface water storage-related variables, which are typically excluded from streamflow signature analyses, may help explain the variability in streamflow signatures. We found that remotely sensed surface water storage watershed location and hydroperiod were correlated with or explained a portion of the variability in hydrologic signatures across 72 streamflow gages.
Magí Franquesa, Melanie K. Vanderhoof, Dimitris Stavrakoudis, Ioannis Z. Gitas, Ekhi Roteta, Marc Padilla, and Emilio Chuvieco
Earth Syst. Sci. Data, 12, 3229–3246, https://doi.org/10.5194/essd-12-3229-2020, https://doi.org/10.5194/essd-12-3229-2020, 2020
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The article presents a database of reference sites for the validation of burned area products. We have compiled 2661 reference files from different international projects. The paper describes the methods used to generate and standardize the data. The Burned Area Reference Data (BARD) is publicly available and will facilitate the arduous task of validating burned area algorithms.
Melanie K. Vanderhoof, Jay R. Christensen, and Laurie C. Alexander
Hydrol. Earth Syst. Sci., 23, 4269–4292, https://doi.org/10.5194/hess-23-4269-2019, https://doi.org/10.5194/hess-23-4269-2019, 2019
Short summary
Short summary
We evaluated trends (1984–2016) in riparian wetness across the Upper Missouri River headwaters basin during peak irrigation months (June, July and August). We found that 8 of the 19 riparian reaches across the basin showed a significant drying trend from 1984 to 2016. The temporal drying trends persisted after removing variability attributable to climate. Instead, the drying trends co-occurred with a shift towards center-pivot irrigation across the basin.
Melanie K. Vanderhoof, Peter Nieuwlandt, Heather E. Golden, Charles R. Lane, Jay R. Christensen, Will Keenan, and Wayana Dolan
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-119, https://doi.org/10.5194/hess-2024-119, 2024
Manuscript not accepted for further review
Short summary
Short summary
Streamflow signatures can help characterize a watershed’s response to rainfall and snowmelt events. We explored if surface water storage-related variables, which are typically excluded from streamflow signature analyses, may help explain the variability in streamflow signatures. We found that remotely sensed surface water storage watershed location and hydroperiod were correlated with or explained a portion of the variability in hydrologic signatures across 72 streamflow gages.
Charles R. Lane, Ellen D'Amico, Jay R. Christensen, Heather E. Golden, Qiusheng Wu, and Adnan Rajib
Earth Syst. Sci. Data, 15, 2927–2955, https://doi.org/10.5194/essd-15-2927-2023, https://doi.org/10.5194/essd-15-2927-2023, 2023
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Non-floodplain wetlands (NFWs) – wetlands located outside floodplains – confer watershed-scale resilience to hydrological, biogeochemical, and biotic disturbances. Although they are frequently unmapped, we identified ~ 33 million NFWs covering > 16 × 10 km2 across the globe. NFWs constitute the majority of the world's wetlands (53 %). Despite their small size (median 0.039 km2), these imperiled systems have an outsized impact on watershed functions and sustainability and require protection.
Magí Franquesa, Melanie K. Vanderhoof, Dimitris Stavrakoudis, Ioannis Z. Gitas, Ekhi Roteta, Marc Padilla, and Emilio Chuvieco
Earth Syst. Sci. Data, 12, 3229–3246, https://doi.org/10.5194/essd-12-3229-2020, https://doi.org/10.5194/essd-12-3229-2020, 2020
Short summary
Short summary
The article presents a database of reference sites for the validation of burned area products. We have compiled 2661 reference files from different international projects. The paper describes the methods used to generate and standardize the data. The Burned Area Reference Data (BARD) is publicly available and will facilitate the arduous task of validating burned area algorithms.
Michael L. Wine, Heather E. Golden, Jay R. Christensen, Charles R. Lane, and Oleg Makhnin
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2020-423, https://doi.org/10.5194/hess-2020-423, 2020
Preprint withdrawn
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Mirroring a global water quality crisis, nitrogen concentrations in the Upper Mississippi River basin, USA regularly exceed levels considered safe for human consumption and aquatic exposure, particularly following fertilization in the spring. Counterfactual simulations suggest that restoring the historic distribution of wetlands would substantially reduce nitrogen concentrations, particularly when they are most elevated, in the spring. Results point to a tradeoff between food and water security.
Melanie K. Vanderhoof, Jay R. Christensen, and Laurie C. Alexander
Hydrol. Earth Syst. Sci., 23, 4269–4292, https://doi.org/10.5194/hess-23-4269-2019, https://doi.org/10.5194/hess-23-4269-2019, 2019
Short summary
Short summary
We evaluated trends (1984–2016) in riparian wetness across the Upper Missouri River headwaters basin during peak irrigation months (June, July and August). We found that 8 of the 19 riparian reaches across the basin showed a significant drying trend from 1984 to 2016. The temporal drying trends persisted after removing variability attributable to climate. Instead, the drying trends co-occurred with a shift towards center-pivot irrigation across the basin.
Qiusheng Wu and Charles R. Lane
Hydrol. Earth Syst. Sci., 21, 3579–3595, https://doi.org/10.5194/hess-21-3579-2017, https://doi.org/10.5194/hess-21-3579-2017, 2017
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In this study, we developed new tools for identifying potential hydrologic connectivity between wetlands and stream networks, which can better inform regulatory decisions and enhance the ability to better manage wetlands under various planning scenarios. The resulting flow network delineated potential flow paths connecting wetland depressions to each other or to the river network on scales finer than those available through the National Hydrography Dataset.
Related subject area
Subject: Water Resources Management | Techniques and Approaches: Remote Sensing and GIS
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Hydrol. Earth Syst. Sci., 28, 2651–2659, https://doi.org/10.5194/hess-28-2651-2024, https://doi.org/10.5194/hess-28-2651-2024, 2024
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Søren Julsgaard Kragh, Jacopo Dari, Sara Modanesi, Christian Massari, Luca Brocca, Rasmus Fensholt, Simon Stisen, and Julian Koch
Hydrol. Earth Syst. Sci., 28, 441–457, https://doi.org/10.5194/hess-28-441-2024, https://doi.org/10.5194/hess-28-441-2024, 2024
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This study provides a comparison of methodologies to quantify irrigation to enhance regional irrigation estimates. To evaluate the methodologies, we compared various approaches to quantify irrigation using soil moisture, evapotranspiration, or both within a novel baseline framework, together with irrigation estimates from other studies. We show that the synergy from using two equally important components in a joint approach within a baseline framework yields better irrigation estimates.
Meghan Halabisky, Dan Miller, Anthony J. Stewart, Amy Yahnke, Daniel Lorigan, Tate Brasel, and Ludmila Monika Moskal
Hydrol. Earth Syst. Sci., 27, 3687–3699, https://doi.org/10.5194/hess-27-3687-2023, https://doi.org/10.5194/hess-27-3687-2023, 2023
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Accurate wetland inventories are critical to monitor and protect wetlands. However, in many areas a large proportion of wetlands are unmapped because they are hard to detect in imagery. We developed a machine learning approach using spatially mapped variables of wetland indicators (i.e., vegetation, hydrology, soils), including novel multi-scale topographic indicators, to predict wetland probability. Our approach can be adapted to diverse landscapes to improve wetland detection.
Ibrahim Nourein Mohammed, Elkin Giovanni Romero Bustamante, John Dennis Bolten, and Everett James Nelson
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We present an open-source platform in response to the NASA Open-Source Science Initiative for accessing and presenting quantitative remote-sensing earth observation,and climate data. With our platform scientists, stakeholders and concerned citizens can engage in the exploration, modeling, and understanding of data. We envisioned this platform as lowering the technical barriers and simplifying the process of accessing and leveraging additional modeling frameworks for data.
Wen Wen, Joris Timmermans, Qi Chen, and Peter M. van Bodegom
Hydrol. Earth Syst. Sci., 26, 4537–4552, https://doi.org/10.5194/hess-26-4537-2022, https://doi.org/10.5194/hess-26-4537-2022, 2022
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A novel approach for evaluating individual and combined impacts of drought and salinity in real-life settings is proposed using Sentinel-2. We found that crop responses to drought and salinity differ between growth stages. Compared to salinity, crop growth is most strongly affected by drought stress and is, in general, further exacerbated when co-occurring with salinity stress. Our approach facilitates a way to monitor crop health under multiple stresses with potential large-scale applications.
Abebe D. Chukalla, Marloes L. Mul, Pieter van der Zaag, Gerardo van Halsema, Evaristo Mubaya, Esperança Muchanga, Nadja den Besten, and Poolad Karimi
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New techniques to monitor the performance of irrigation schemes are vital to improve land and water productivity. We developed a framework and applied the remotely sensed FAO WaPOR dataset to assess uniformity, equity, adequacy, and land and water productivity at the Xinavane sugarcane estate, segmented by three irrigation methods. The developed performance assessment framework and the Python script in Jupyter Notebooks can aid in such irrigation performance analysis in other regions.
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Siyuan Tian, Luigi J. Renzullo, Robert C. Pipunic, Julien Lerat, Wendy Sharples, and Chantal Donnelly
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Accurate daily continental water balance predictions are valuable in monitoring and forecasting water availability and land surface conditions. A simple and robust method was developed for an operational water balance model to constrain model predictions temporally and spatially with satellite soil moisture observations. The improved soil water storage prediction can provide constraints in model forecasts that persist for several weeks.
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The agricultural sector in Saudi Arabia has expanded rapidly over the last few decades, supported by non-renewable groundwater abstraction. This study describes a novel data–model fusion approach to compile national-scale groundwater abstractions and demonstrates its use over 5000 individual center-pivot fields. This method will allow both farmers and water management agencies to make informed water accounting decisions across multiple spatial and temporal scales.
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In the case study presented in this paper, the GNSS-IR technique was used to monitor soil moisture during 66 d, from 3 December 2018 to 6 February 2019, in the installations of the Cajamar Centre of Experiences, Paiporta, Valencia, Spain. Two main objectives were pursued. The first was the extension of the technique to a multi-constellation solution using GPS, GLONASS, and GALILEO satellites, and the second was to test whether mass-market sensors could be used for this technique.
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Water resource allocation to various sectors requires an understanding of the hydrological cycle, where evapotranspiration (ET) is a key component. Satellite-derived products estimate ET but are hard to evaluate at large scales. This work presents an alternate evaluation methodology to point-scale observations in Africa. The paper enables users to select an ET product based on their performance regarding selected criteria using a ranking system. The highest ranked products are WaPOR and CMRSET.
Melanie K. Vanderhoof, Jay R. Christensen, and Laurie C. Alexander
Hydrol. Earth Syst. Sci., 23, 4269–4292, https://doi.org/10.5194/hess-23-4269-2019, https://doi.org/10.5194/hess-23-4269-2019, 2019
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We evaluated trends (1984–2016) in riparian wetness across the Upper Missouri River headwaters basin during peak irrigation months (June, July and August). We found that 8 of the 19 riparian reaches across the basin showed a significant drying trend from 1984 to 2016. The temporal drying trends persisted after removing variability attributable to climate. Instead, the drying trends co-occurred with a shift towards center-pivot irrigation across the basin.
Sameer M. Shadeed, Tariq G. Judeh, and Mohammad N. Almasri
Hydrol. Earth Syst. Sci., 23, 1581–1592, https://doi.org/10.5194/hess-23-1581-2019, https://doi.org/10.5194/hess-23-1581-2019, 2019
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The paper aimed to develop DWP and DRWHS maps in the West Bank (Palestine) using an integrated GIS-based MCDA approach. The obtained maps will assist the decision makers to formulate proper strategies including the development of efficient and comprehensive water resource management strategies in trying to bridge the increasing water supply–demand gap for domestic purposes in the West Bank as a recognized area in the Dead Sea region which is facing a series water resource shortage challenges.
Fugen Li, Xiaozhou Xin, Zhiqing Peng, and Qinhuo Liu
Hydrol. Earth Syst. Sci., 23, 949–969, https://doi.org/10.5194/hess-23-949-2019, https://doi.org/10.5194/hess-23-949-2019, 2019
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This study proposes a simple but efficient model for estimating daily evapotranspiration considering heterogeneity of mixed pixels. In order to do so, an equation to calculate evapotranspiration fraction (EF) of mixed pixels was derived based on two key hypotheses. The model is easy to apply and is independent and easy to be embedded in the traditional remote sensing algorithms of heat fluxes to get daily ET.
Felix Zaussinger, Wouter Dorigo, Alexander Gruber, Angelica Tarpanelli, Paolo Filippucci, and Luca Brocca
Hydrol. Earth Syst. Sci., 23, 897–923, https://doi.org/10.5194/hess-23-897-2019, https://doi.org/10.5194/hess-23-897-2019, 2019
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About 70 % of global freshwater is consumed by irrigation. Yet, policy-relevant estimates of irrigation water use (IWU) are virtually lacking at regional to global scales. To bridge this gap, we develop a method for quantifying IWU from a combination of state-of-the-art remotely sensed and modeled soil moisture products and apply it over the United States for the period 2013–2016. Overall, our estimates agree well with reference data on irrigated area and irrigation water withdrawals.
Philippe Cattan, Jean-Baptiste Charlier, Florence Clostre, Philippe Letourmy, Luc Arnaud, Julie Gresser, and Magalie Jannoyer
Hydrol. Earth Syst. Sci., 23, 691–709, https://doi.org/10.5194/hess-23-691-2019, https://doi.org/10.5194/hess-23-691-2019, 2019
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We investigated the management of long-term environmental pollution by organochlorine pesticides. We selected the case of chlordecone on the island of Martinique. We propose a conceptual model of organochlorine fate accounting for physical conditions relative to soils and geology. This model explains pollution variability in water but also the dynamics of pollution trends. It helps to identify risky areas where pollution will last for a long time and where more attention is needed.
Anoop Kumar Shukla, Shray Pathak, Lalit Pal, Chandra Shekhar Prasad Ojha, Ana Mijic, and Rahul Dev Garg
Hydrol. Earth Syst. Sci., 22, 5357–5371, https://doi.org/10.5194/hess-22-5357-2018, https://doi.org/10.5194/hess-22-5357-2018, 2018
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In this study, we carried out a comparative evaluation of water yield using two approaches, the Lumped Zhang model and the pixel-based approach. Even in pixel-level computations, experiments are made with existing models of some of the involved parameters. The study indicates not only the suitability of pixel-based computations but also clarifies the suitable model of some of the parameters to be used with pixel-based computations to obtain better results.
Anoop Kumar Shukla, Chandra Shekhar Prasad Ojha, Ana Mijic, Wouter Buytaert, Shray Pathak, Rahul Dev Garg, and Satyavati Shukla
Hydrol. Earth Syst. Sci., 22, 4745–4770, https://doi.org/10.5194/hess-22-4745-2018, https://doi.org/10.5194/hess-22-4745-2018, 2018
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Geospatial technologies and OIP are promising tools to study the effect of demographic changes and LULC transformations on the spatiotemporal variations in the water quality (WQ) across a large river basin. Therefore, this study could help to assess and solve local and regional WQ-related problems over a river basin. It may help the policy makers and planners to understand the status of water pollution so that suitable strategies could be planned for sustainable development in a river basin.
Mariana Madruga de Brito, Mariele Evers, and Adrian Delos Santos Almoradie
Hydrol. Earth Syst. Sci., 22, 373–390, https://doi.org/10.5194/hess-22-373-2018, https://doi.org/10.5194/hess-22-373-2018, 2018
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This paper sheds light on the integration of interdisciplinary knowledge in the assessment of flood vulnerability in Taquari-Antas river basin, Brazil. It shows how stakeholder participation is crucial for increasing not only the acceptance of model results but also its quality.
Nicolas Avisse, Amaury Tilmant, Marc François Müller, and Hua Zhang
Hydrol. Earth Syst. Sci., 21, 6445–6459, https://doi.org/10.5194/hess-21-6445-2017, https://doi.org/10.5194/hess-21-6445-2017, 2017
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Information on small reservoir storage is crucial for water management in a river basin. However, it is most of the time not freely available in remote, ungauged, or conflict-torn areas. We propose a novel approach using satellite imagery information only to quantitatively estimate storage variations in such inaccessible areas. We apply the method to southern Syria, where ground monitoring is impeded by the ongoing civil war, and validate it against in situ measurements in neighbouring Jordan.
Rangaswamy Madugundu, Khalid A. Al-Gaadi, ElKamil Tola, Abdalhaleem A. Hassaballa, and Virupakshagouda C. Patil
Hydrol. Earth Syst. Sci., 21, 6135–6151, https://doi.org/10.5194/hess-21-6135-2017, https://doi.org/10.5194/hess-21-6135-2017, 2017
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In view of the pressing need to assess the productivity of agricultural fields in Saudi Arabia, this study was undertaken in an attempt to apply the METRIC model with Landsat-8 imagery for the determination of spatial and temporal variability in ET aiming at optimizing the quantification of crop water requirement and the formulation of efficient irrigation schedules. This paper will be of great interest to readers in the areas of agriculture (in general), water management and remote sensing.
Clara Linés, Micha Werner, and Wim Bastiaanssen
Hydrol. Earth Syst. Sci., 21, 4747–4765, https://doi.org/10.5194/hess-21-4747-2017, https://doi.org/10.5194/hess-21-4747-2017, 2017
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This paper aims at identifying Earth observation data sets that can help river basin managers detect drought conditions that may lead to impacts early enough to take mitigation actions. Six remote sensing products were assessed using two types of impact data as a benchmark: media records from a regional newspaper and crop yields. Precipitation, vegetation condition and evapotranspiration products showed the best results, offering early signs of impacts up to 6 months before the reported damages.
Zeinab Takbiri, Ardeshir M. Ebtehaj, and Efi Foufoula-Georgiou
Hydrol. Earth Syst. Sci., 21, 2685–2700, https://doi.org/10.5194/hess-21-2685-2017, https://doi.org/10.5194/hess-21-2685-2017, 2017
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We present a multi-sensor retrieval algorithm for flood extent mapping at high spatial and temporal resolution. While visible bands provide flood mapping at fine spatial resolution, their capability is very limited in a cloudy sky. Passive microwaves can penetrate through clouds but cannot detect small-scale flooded surfaces due to their coarse resolution. The proposed method takes advantage of these two observations to retrieve sub-pixel flooded surfaces in all-sky conditions.
Joseph G. Alfieri, Martha C. Anderson, William P. Kustas, and Carmelo Cammalleri
Hydrol. Earth Syst. Sci., 21, 83–98, https://doi.org/10.5194/hess-21-83-2017, https://doi.org/10.5194/hess-21-83-2017, 2017
Yan Zhao, Yongping Wei, Shoubo Li, and Bingfang Wu
Hydrol. Earth Syst. Sci., 20, 4469–4481, https://doi.org/10.5194/hess-20-4469-2016, https://doi.org/10.5194/hess-20-4469-2016, 2016
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The paper finds that combined inflow from both current and previous years' discharge determines water availability in downstream regions. Temperature determines broad vegetation distribution while hydrological variables show significant effects only in near-river-channel regions. Agricultural development curtailed further vegetation recovery in the studied area. Enhancing current water allocation schemes and regulating regional agricultural activities are required for future restoration.
Markus Enenkel, Christoph Reimer, Wouter Dorigo, Wolfgang Wagner, Isabella Pfeil, Robert Parinussa, and Richard De Jeu
Hydrol. Earth Syst. Sci., 20, 4191–4208, https://doi.org/10.5194/hess-20-4191-2016, https://doi.org/10.5194/hess-20-4191-2016, 2016
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Soil moisture is a crucial variable for a variety of applications, ranging from weather forecasting and agricultural production to the monitoring of floods and droughts. Satellite observations are particularly important in regions where no in situ measurements are available. Our study presents a method to integrate global near-real-time satellite observations from different sensors into one harmonized, daily data set. A first validation shows good results on a global scale.
Behzad Hessari, Adriana Bruggeman, Ali Mohammad Akhoond-Ali, Theib Oweis, and Fariborz Abbasi
Hydrol. Earth Syst. Sci., 20, 1903–1910, https://doi.org/10.5194/hess-20-1903-2016, https://doi.org/10.5194/hess-20-1903-2016, 2016
Short summary
Short summary
Yields of rainfed winter crops such as wheat can be substantially improved with limited supplemental irrigation. The upper Karkheh River basin in Iran has 15 840 km2 of rainfed crops. A GIS method was designed to identify suitable areas for irrigation and a routine was developed to allocate water uses and route the flows downstream. A maximum of 13 % of the rainfed cropland could be irrigated under normal flow, 9 % if environmental flow requirements are considered and 6 % under drought conditions.
Ting Xia, William P. Kustas, Martha C. Anderson, Joseph G. Alfieri, Feng Gao, Lynn McKee, John H. Prueger, Hatim M. E. Geli, Christopher M. U. Neale, Luis Sanchez, Maria Mar Alsina, and Zhongjing Wang
Hydrol. Earth Syst. Sci., 20, 1523–1545, https://doi.org/10.5194/hess-20-1523-2016, https://doi.org/10.5194/hess-20-1523-2016, 2016
Short summary
Short summary
This paper describes a model inter-comparison and validation study conducted using sub-meter resolution thermal data from an aircraft. The model inter-comparison is between a physically based model and a very simple empirical model. The strengths and weaknesses of both modeling approaches for high-resolution mapping of water use in vineyards is described. The findings provide significant insight into the utility of complex versus simple models for precise water resources management.
P. Karimi and W. G. M. Bastiaanssen
Hydrol. Earth Syst. Sci., 19, 507–532, https://doi.org/10.5194/hess-19-507-2015, https://doi.org/10.5194/hess-19-507-2015, 2015
P. Karimi, W. G. M. Bastiaanssen, A. Sood, J. Hoogeveen, L. Peiser, E. Bastidas-Obando, and R. J. Dost
Hydrol. Earth Syst. Sci., 19, 533–550, https://doi.org/10.5194/hess-19-533-2015, https://doi.org/10.5194/hess-19-533-2015, 2015
F. Baup, F. Frappart, and J. Maubant
Hydrol. Earth Syst. Sci., 18, 2007–2020, https://doi.org/10.5194/hess-18-2007-2014, https://doi.org/10.5194/hess-18-2007-2014, 2014
C. Cammalleri, M. C. Anderson, and W. P. Kustas
Hydrol. Earth Syst. Sci., 18, 1885–1894, https://doi.org/10.5194/hess-18-1885-2014, https://doi.org/10.5194/hess-18-1885-2014, 2014
J. L. Stein, M. F. Hutchinson, and J. A. Stein
Hydrol. Earth Syst. Sci., 18, 1917–1933, https://doi.org/10.5194/hess-18-1917-2014, https://doi.org/10.5194/hess-18-1917-2014, 2014
L. Longuevergne, C. R. Wilson, B. R. Scanlon, and J. F. Crétaux
Hydrol. Earth Syst. Sci., 17, 4817–4830, https://doi.org/10.5194/hess-17-4817-2013, https://doi.org/10.5194/hess-17-4817-2013, 2013
O. Merlin
Hydrol. Earth Syst. Sci., 17, 3623–3637, https://doi.org/10.5194/hess-17-3623-2013, https://doi.org/10.5194/hess-17-3623-2013, 2013
R. Guzinski, M. C. Anderson, W. P. Kustas, H. Nieto, and I. Sandholt
Hydrol. Earth Syst. Sci., 17, 2809–2825, https://doi.org/10.5194/hess-17-2809-2013, https://doi.org/10.5194/hess-17-2809-2013, 2013
X. M. Feng, G. Sun, B. J. Fu, C. H. Su, Y. Liu, and H. Lamparski
Hydrol. Earth Syst. Sci., 16, 2617–2628, https://doi.org/10.5194/hess-16-2617-2012, https://doi.org/10.5194/hess-16-2617-2012, 2012
N. Baghdadi, R. Cresson, M. El Hajj, R. Ludwig, and I. La Jeunesse
Hydrol. Earth Syst. Sci., 16, 1607–1621, https://doi.org/10.5194/hess-16-1607-2012, https://doi.org/10.5194/hess-16-1607-2012, 2012
J. Van doninck, J. Peters, H. Lievens, B. De Baets, and N. E. C. Verhoest
Hydrol. Earth Syst. Sci., 16, 773–786, https://doi.org/10.5194/hess-16-773-2012, https://doi.org/10.5194/hess-16-773-2012, 2012
R. R. E. Vernimmen, A. Hooijer, Mamenun, E. Aldrian, and A. I. J. M. van Dijk
Hydrol. Earth Syst. Sci., 16, 133–146, https://doi.org/10.5194/hess-16-133-2012, https://doi.org/10.5194/hess-16-133-2012, 2012
G.-J. Yang, C.-J. Zhao, W.-J. Huang, and J.-H. Wang
Hydrol. Earth Syst. Sci., 15, 2317–2326, https://doi.org/10.5194/hess-15-2317-2011, https://doi.org/10.5194/hess-15-2317-2011, 2011
J. Negrel, P. Kosuth, and N. Bercher
Hydrol. Earth Syst. Sci., 15, 2049–2058, https://doi.org/10.5194/hess-15-2049-2011, https://doi.org/10.5194/hess-15-2049-2011, 2011
R. Fieuzal, B. Duchemin, L. Jarlan, M. Zribi, F. Baup, O. Merlin, O. Hagolle, and J. Garatuza-Payan
Hydrol. Earth Syst. Sci., 15, 1117–1129, https://doi.org/10.5194/hess-15-1117-2011, https://doi.org/10.5194/hess-15-1117-2011, 2011
F. Baup, E. Mougin, P. de Rosnay, P. Hiernaux, F. Frappart, P. L. Frison, M. Zribi, and J. Viarre
Hydrol. Earth Syst. Sci., 15, 603–616, https://doi.org/10.5194/hess-15-603-2011, https://doi.org/10.5194/hess-15-603-2011, 2011
M. Zribi, A. Chahbi, M. Shabou, Z. Lili-Chabaane, B. Duchemin, N. Baghdadi, R. Amri, and A. Chehbouni
Hydrol. Earth Syst. Sci., 15, 345–358, https://doi.org/10.5194/hess-15-345-2011, https://doi.org/10.5194/hess-15-345-2011, 2011
L. A. Gibson, Z. Münch, and J. Engelbrecht
Hydrol. Earth Syst. Sci., 15, 295–310, https://doi.org/10.5194/hess-15-295-2011, https://doi.org/10.5194/hess-15-295-2011, 2011
H. Lievens, N. E. C. Verhoest, E. De Keyser, H. Vernieuwe, P. Matgen, J. Álvarez-Mozos, and B. De Baets
Hydrol. Earth Syst. Sci., 15, 151–162, https://doi.org/10.5194/hess-15-151-2011, https://doi.org/10.5194/hess-15-151-2011, 2011
D. Courault, R. Hadria, F. Ruget, A. Olioso, B. Duchemin, O. Hagolle, and G. Dedieu
Hydrol. Earth Syst. Sci., 14, 1731–1744, https://doi.org/10.5194/hess-14-1731-2010, https://doi.org/10.5194/hess-14-1731-2010, 2010
M. El Haj Tahir, A. Kääb, and C.-Y. Xu
Hydrol. Earth Syst. Sci., 14, 1167–1178, https://doi.org/10.5194/hess-14-1167-2010, https://doi.org/10.5194/hess-14-1167-2010, 2010
Cited articles
Abatzoglou, J. T.: Development of gridded surface meteorological data for
ecological applications and modelling, Int. J. Climatol., 33, 121–131, 2011.
Acharya, G.: Approaches to valuing the hidden hydrological services of wetland
ecosystems, Ecol. Econ., 35, 63–74, 2000.
Ahnert, F.: Introduction to Geomorphology, John Wiley & Sons, New York, 1996.
Allen, C. R., Angeler, D. G., Cumming, G. S., Carl, F., and Twidwell, D.:
Quantifying spatial resilience, J. Appl. Ecol., 53, 625–635, 2016.
Ameli, A. A. and Creed, I. F.: Quantifying hydrologic connectivity of wetlands
to surface water systems, Hydrol. Earth Syst. Sci., 21, 1791–1808,
https://doi.org/10.5194/hess-21-1791-2017, 2017.
Beeri, O. and Phillips, R. L.: Tracking palustrine water seasonal and annual
variability in agricultural wetland landscapes using Landsat from 1997 to 2005,
Global Change Biol., 13, 897–912, 2007.
Belsley, D. A.: Conditioning Diagnostics, Collinearity and Weak Data in Regression,
John Wiley & Sons, New York, 1991.
Belsley, D. A., Kuh, E., and Welsch, R. E.: Regression Diagnostics: Identifying
Influential Data and Sources of Collinearity, John Wiley & Sons, New York, 1980.
Betts, M. G., Ganio, L. M., Huso, M. M. P., Som, N. A., Huettmann, F., Bowman,
J., and Wintle, B. A.: Comment on “Methods to account for spatial autocorrelation
in the analysis of species distributional data: A review”, Ecography, 32, 374–378, 2009.
Blann, K. L., Anderson, J. L., Sands, G. R., and Vondracek, B.: Effects of
agricultural drainage on aquatic ecosystems: A review, Crit. Rev. Environ.
Sci. Technol., 39, 909–1001, https://doi.org/10.1080/10643380801977966, 2009.
Boschilia, S. M., Oliveira, E. F., and Thomaz, S. M.: Do aquatic macrophytes
co-occur randomly? An analysis of null models in a tropical floodplain, Oecologia,
156, 203–214, 2008.
Breusch, T. S. and Pagan, A. R.: A simple test for heteroskedasticity and
random coefficient variation, Econometrica, 47, 1287–1294, 1979.
Bryson, R. A. and Hare, F. K.: Climates of North America, in: World Survey of
Climatology, Vol. 11, edited by: Lansberg, H. E., Elsevier, New York, 47 pp., 1974.
Calhoun, A. J. K., Mushet, D. M., Bell, K. P., Boix, D., Fitsimons, J. A., and
Isselin-Nondedeu, F.: Temporary wetlands: challenges and solutions to conserving
a “disappearing” ecosystem, Biol. Conserv., 211, 3–11, 2017.
Carroll, R. W., Pohll, G. M., Tracy, J., Winter, T., and Smith, R.: Simulation
of a semipermanent wetland basin in the Cottonwood Lake Area, East-Central North
Dakota, J. Hydrol. Eng., 1, 70–84, 2005.
Christensen, J. R., Nash, M. S., and Neale, A.: Identifying riparian buffer
effects on stream nitrogen in southeastern coastal plain watersheds, Environ.
Manage. 52, 1161–1176, 2013.
Clayton, L. and Moran, S. R.: Chronology of late Wisconsinan glaciation in
middle North America, Quaternary Sci. Rev., 1, 55–82, 1982.
Cohen, M. J., Creed, I. F., Alexander, L., Basu, N., Calhoun, A., Craft, C. B.,
D'Amico, E., DeKeyser, S., Fowler, L., Golden, H., Jawitz, J. W., Kalla, P.,
Kirkman, L. K., Lane, C. R., Lang, M., Leibowitz, S., Lewis, D. B., Marton, J.
M., McLaughlin, D. L., Mushet, D., Raanan-Kipperwas, H., Rains, M. C., Smith,
L., and Walls, S.: Do geographically isolated wetlands influence landscape
functions?, P. Natl. Acad. Sci. USA, 113, 1978–1986, https://doi.org/10.1073/pnas.1512650113, 2016.
Cowardin, L. M., Carter, V., Golet, F. C., and LaRoe, E. T.: Classification of
wetlands and deepwater habitats of the United States, FWS/OBS-79/31, US Fish and
Wildlife Service, Washington, D.C., 1979.
Daly, C., Halbleib, M., Smith, J. I., Gibson, W. P., Doggett, M. K., Taylor,
G. H., Curtis, J., and Pasteris, P. A.: Physiographically-sensitive mapping
of temperature and precipitation across the conterminous United States, Int.
J. Climatol., 28, 2031–2064, https://doi.org/10.1002/joc.1688, 2008.
De Laney, T. A.: Benefits to downstream flood attenuation and water quality as
a result of constructed wetlands in agricultural landscapes, J. Soil Water
Conserv., 50, 620–626, 1995.
Dore, M. H. I.: Climate change and changes in global precipitation patterns:
What do we know?, Environ. Int., 31, 1167–1181, 2005.
Dormann, C. F., McPherson, J. M., Araujo, M. B., Bivand, R., Bolliger, J., Carl,
G., Davies, R. G., Hirzel, A., Jetz, W., Kissling, W. D., Kühn, I.,
Ohlemüller, R., Peres-Neto, P. R., Reineking, B., Schröder, B., Schurr,
F. M., and Wilson, R.: Methods to account for spatial autocorrelation in the
analysis of species distributional data: A review, Ecography, 30, 609–628, 2007.
Dunn, O. J.: Multiple comparison among means, J. Am. Stat. Assoc., 56, 52–64, 1961.
Eamus, D., Hatton, T., Cook, P., and Colvin, C.: Ecohydrology: vegetation function,
water and resource management, CSIRO Publishing, Australia, 360 pp., 2006.
Euliss Jr., N. H. and Mushet, D. M.: Water-level fluctuation in wetlands as a
function of landscape condition in the Prairie Pothole Region, Wetlands,
16, 587–593, 1996.
Evenson, G. R., Golden, H. E., Lane, C. R., and D'Amico, E.: An improved
representation of geographically isolated wetlands in a watershed-scale
hydrologic model, Hydrol. Process., 30, 4168–4184, https://doi.org/10.1002/hyp.10930, 2016.
Fausey, N. R., Doering, E. J., and Palmer, M. L.: Purposes and benefits of
drainage, in: Farm drainage in the United States: History, status, and prospects,
Misc. Publ. 1455, edited by: Pavelis, G. A., USDA Economic Research Service,
Washington, D.C., 4 pp., 1987.
Feddema, J. J.: A revised Thornthwaite-type global climate classification, Phys.
Geogr., 26, 442–466, 2005.
Fleiss, J. L.: Statistical methods for rates and proportions, 2nd Edn., John
Wiley & Sons, New York City, NY, 1981.
Flint, R. F.: Glacial and Quaternary Geology, John Wiley & Sons, New York City, NY, 1971.
Forbes, A. D.: Classification-algorithm evaluation: Five performance measures
based on confusion matrices, J. Clin. Monitor., 11, 189–206, 1995.
Gleason, R. A. and Tangen, B. A.: Ecosystem services derived from wetland
conservation practices in the United States prairie pothole region with an
emphasis on the U.S., in: Department of Agriculture Conservation Reserve and
Wetlands Reserve Programs Professional Paper 1745: Floodwater storage, edited
by: Gleason, R. A., Laubhan, M. K., and Euliss Jr., M. K., US Geological Survey,
Reston, VA, 7 pp., 2008.
Golden, H. E., Sander, H. A., Lane, C. R., Zhao, C., Price, K., D'Amico, E.,
and Christensen, J. R.: Relative effects of geographically isolated wetlands
on streamflow: A watershed-scale analysis, Ecohydrology, 9, 21–38, 2016.
Golden, H. E., Creed, I. F., Ali, G., Basu, N. B., Neff, B. P., Rains, M. C.,
McLaughlin, D. L., Alexander, L. C., Ameli, A. A., Christensen, J. R., Evenson,
G. R., Jones, C. N., Lane, C. R., and Lang, M.: Integrating geographically
isolated wetlands into land management decisions, Front. Ecol. Environ., 15, 319–327, 2017.
Gornall, J., Betts, R., Burke, E., Clark, R., Camp, J., Willett, K., and
Wiltshire, A.: Implications of climate change for agricultural productivity in
the early twenty-first century, Philos. T. Roy. Soc. B, 365, 2973–2989, 2010.
Green, A. A., Berman, M., Switzer, P., and Craig, M. D.: A transformation for
ordering multispectral data in terms of image quality with implications for
noise removal, IEEE T. Geosci. Remote, 26, 65–74, 1988.
Hamilton, S. K., Sippel, S. J., and Melack, J. M.: Comparison of inundation
patterns among major South American floodplains, J. Geophys. Res., 107, 1–14, 2002.
Hamilton, S. K., Sippel, S. J., and Melack, J. M.: Seasonal inundation patterns
in two large savanna floodplains of South America: the Llanos de Moxos (Bolivia)
and the Llanos del Orinoco (Venezuela and Colombia), Hydrol. Process., 18, 2103–2116, 2004.
Hamon, W. R.: Estimating potential evapotranspiration, J. Hydrol. Eng. Div.-ASCE,
87, 107–120, 1961.
Hanushek, E. A.: Efficient estimators for regressing regression coefficients,
Am. Stat., 28, 66–67, 1974.
Heiler, G., Hein, T., Schiemer, F., and Bornette, G.: Hydrological connectivity
and flood pulses as the central aspects for the integrity of a river-floodplain
system, Regul. River, 11, 351–361, 1995.
Heine, R. A., Lant, C. L., and Sengupta, R. R.: Development and comparison of
approaches for automated mapping of stream channel networks, Ann. Assoc. Am.
Geogr., 94, 477–490, 2004.
Hendrickx, J.: Perturb: Tools for evaluating collinearity, R package version 2.05,
http://CRAN.R-project.org/package=perturb (last access: 25 July 2017), 2012.
Hoffmann, C. C., Kjaergaard, C., Uusi-Kämppä, J., Hansen, H. C., and
Kronvang, B.: Phosphorus retention in riparian buffers: Review of their efficiency,
J. Environ. Qual., 38, 1942–1955, 2009.
Homer, C., Dewitx, J., Yang, L., Jin, S., Danielson, P., Xian, G., Coulston, J.,
Herold, N., Wickham, J., and Megown, K.: Completion of the 2011 National Land
Cover Database for the conterminous United States – representing a decade of
land cover change information, Photogramm. Eng. Rem. S., 81, 345–354, 2015.
Huang, S., Dahal, D., Young, C., Chander, G., and Liu, S.: Integration of Palmer
Drought Severity Index and remote sensing data to simulate wetland water surface
from 1910 to 2009 in Cottonwood Lake area, North Dakota, Remote Sens. Environ.,
115, 3377–3389, 2011.
Johnson, W. C., Millett, B. V., Gilmanov, T., Voldseth, R. A., Guntenspergen,
G. R., and Naugle, D. E.: Vulnerability of northern prairie wetlands to climate
change, Bioscience, 55, 863–872, 2005.
Jones, J. W.: Efficient wetland surface water detection and monitoring via
Landsat: comparison with in situ data from the Everglades depth estimation
network, Remote Sens., 7, 12503–12538, 2015.
Kahara, S. N., Mockler, R. M., Higgins, K. F., Chipps, S. R., and Johnson, R.
R.: Spatiotemporal patterns of wetland occurrence in the Prairie Pothole
Region of eastern South Dakota, Wetlands, 29, 678–689, 2009.
Kantrud, H. A., Krapu, G. L., and Swanson, G. A.: Prairie basin wetlands of
the Dakotas: a community profile, US Fish and Wildlife Service Biological
Report 85(7.28), US Fish and Wildlife Service, Washington, D.C., 1989.
King, K. W., Fausey, N. R., and Williams, M. R.: Effect of subsurface drainage
on streamflow in an agricultural headwater watershed, J. Hydrol., 519, 438–445, 2014.
Kuppel, S., Houspanossian, J., Nosetto, M. D., and Jobbágy, E. G.: What
does it take to flood the Pampas? Lessons from a decade of strong hydrological
fluctuations, Water Resour. Res., 51, 2937–2950, https://doi.org/10.1002/2015WR016966, 2015.
LaBaugh, J. W., Winter, T. C., and Rosenberry, D. O.: Hydrologic functions of
prairie wetlands, Great Plains Res., 4, 17–37, 1998.
Lewis, J. B. and Linzer, D. A.: Estimating regression models in which the
dependent variable is based on estimates, Polit. Anal., 13, 345–364, 2005.
Liaw, A. and Wiener, M.: Breiman and Cutler's random forests for classification
and regression, R package version 4.6-12, R Foundation for Statistical Computing,
Vienna, Austria, https://www.stat.berkeley.edu/~breiman/RandomForests/
(last access: 25 July 2017), 2005.
Masek, J. G., Vermote, E. F., Saleous, N., Wolfe, R., Hall, E. F., Huemmrich,
F., Gao, F., Kutler, J., and Teng-Kui, L.: A Landsat surface reflectance data
set for North America, 1990–2000, IEEE Geosci. Remote S., 3, 68–72, 2006.
McCauley, L. A., Anteau, M. J., Van Der Burg, M. P., and Wiltermuth, M. T.:
Land use and wetland drainage affect water levels and dynamics of remaining
wetlands, Ecosphere, 6, 1–20, 2015.
McKenna, O. P., Mushet, D. M., Rosenberry, D. O., and LaBaugh, J. W.: Evidence
for a climate-induced ecohydrological state shift in wetland ecosystems of the
southern Prairie Pothole Region, Climatic Change, 145, 273–287, 2017.
Millett, B., Johnson, W. C., and Guntenspergen, G.: Climate trends of the North
American Prairie Pothole Region 1906–2000, Climatic Change, 93, 243–267, 2009.
Mitchell, K. E., Lohmann, D., Houser, P. R., Wood, E. F., Schaake, J. C., Robock,
A., Cosgrove, B. A., Sheffield, J., Duan, Q., Luo, L., Higgins, R. W., Pinker,
R. T., Tarpley, J. D., Lettenmaier, D. P., Marshall, C. H., Entin, J. K., Pan,
M., Shi, W., Koren, V., Meng, J., Ramsay, B. H., and Bailey, A. A.: The
multi-institution North American Land Data Assimilation System (NLDAS): Utilizing
multiple GCIP products and partners in a continental distributed hydrological
modeling system, J. Geophy. Res., 109, D07S90, https://doi.org/10.1029/2003JD003823, 2004.
Mokrech, M., Nicholls, R. J., Richards, J. A., Henriques, C., Holman, I. P.,
and Shackley, S.: Regional impact assessment of flooding under future climate
and socio-economic scenarios for East Anglia and North West England, Climatic
Change, 90, 31–55, 2008.
Murphy, M. A., Evans, J. S., and Storfer, A.: Quantifying Bufo boreas
connectivity in Yellowstone National Park with landscape genetics, Ecology,
91, 252–261, 2010.
Niemuth, N. D., Wangler, B., and Reynolds, R. E.: Spatial and temporal variation
in wet area of wetlands in the prairie pothole region of North Dakota and South
Dakota, Wetlands, 30, 1053–1064, 2010.
NOAA NCDC – National Climatic Data Center: Data Tools: 1981–2010 Normals,
http://www.ncdc.noaa.gov/cdo-web/datatools/normals (last access: 12 January 2017), 2014.
Poff, N. L., Allan, J. D., Bain, M. B., Karr, J. R., Prestegaard, K. L., Richter,
B. D., Sparks, R. E., and Stromberg, J. C.: The natural flow regime, BioScience,
47, 769–784, 1997.
Pringle, C. M.: Hydrologic connectivity and the management of biological reserves:
a global perspective, Ecol. Appl., 11, 981–998, 2001.
Rosenberry, D. O., Stannard, D. I., Winter, T. C., and Martinez, M. L.: Comparison
of 13 equations for determining evapotranspiration from a prairie wetland,
Cottonwood Lake area, North Dakota, USA, Wetlands, 24, 483–497, 2004.
Sass, G. Z. and Creed, I. F.: Characterizing hydrodynamics on boreal landscapes
using archived synthetic aperture radar imagery, Hydrol. Process., 22, 1687–1699, 2008.
Sayler, K. L., Acevedo, W., Soulard, C. E., and Taylor, J. L.: Land cover trends
dataset, 2000–2011, US Geological Survey, Sioux Falls, South Dakota, https://doi.org/10.5066/F7DJ5CNT, 2015.
Schmidt, F. and Persson, A.: Comparison of DEM data capture and topographic
wetness indices, Precis. Agricult., 4, 179-192, 2003.
Shaw, D. A., Vanderkamp, G., Conly, F. M., Pietroniro, A., and Martz, L.: The
fill-spill hydrology of prairie wetland complexes during drought and deluge,
Hydrol. Process., 26, 3147–3156, 2012.
Skaggs, R. W., Breve, M. A., and Gilliam, J. W.: Hydrologic and water quality
impacts of agricultural drainage, Crit. Rev. Environ. Sci. Technol., 24, 1–32,
https://doi.org/10.1080/10643389409388459, 1994.
Sloan, C. E.: Ground-water hydrology of Prairie Potholes in North Dakota,
US Geological Survey Professional Paper 585, US Geological Survey, Washington,
D.C., 1–27, 1972.
Smith, L. C., Sheng, Y., and MacDonald, G. M.: A first pan-arctic assessment of
the influence of glaciation, permafrost, topography and peatlands on northern
hemisphere lake distribution, Permafrost Periglac., 18, 201–208, 2007.
Soil Survey Staff, Natural Resources Conservation Service, and United States
Department of Agriculture: Web Soil Survey, available at: https://websoilsurvey.nrcs.usda.gov/,
last access: 25 May 2017.
Stokes, C. R., Popovnin, V., Aleynikov, A., Gurney, S. D., and Shahgedanova,
M.: Recent glacier retreat in the Caucasus Mountains, Russia, and associated
increase in supraglacial debris cover and supra-/proglacial lake development,
Ann. Glaciol., 46, 195–203, 2007.
Turin, G.: An introduction to matched filters, IRE T. Inform. Theor., 6, 311–329, 1960.
USDA NRCS – US Department of Agriculture, National Resources Conservation Service:
Watershed Boundary Dataset, http://www.nrcs.usda.gov/wps/portal/nrcs/detail/national/water/watersheds/dataset/?cid=nrcs143_021625
(last access: 20 September 2016), 2015.
USFWS – US Fish and Wildlife Service: National Wetlands Inventory,
http://www.fws.gov/wetlands/ (last access: 1 September 2016), 2010.
USGS – US Geological Survey: The National Hydrography Dataset (NHD) concepts
and content, available at: http://nhd.usgs.gov/chapter1/ chp1_data_users_guide.pdf
(last access: 2 September 2017), 2010.
USGS – US Geological Survey: The National Hydrography Dataset (NHD),
ftp://nhdftp.usgs.gov/DataSets/Staged/States/FileGDB/ HighResolution (last
access: 2 September 2017), 2013.
Vanderhoof, M. K. and Alexander, L. C.: The role of lake expansion in altering
the wetland landscape of the Prairie Pothole Region, Wetlands, 36, 309–321, 2016.
Vanderhoof, M. K., Alexander, L. C., and Todd, M. J.: Temporal and spatial
patterns of wetland extent influence variability of surface water connectivity
in the Prairie Pothole Region, United States, Landscape Ecol., 31, 805–824, 2016.
Vanderhoof, M. K., Christensen, J. R., and Alexander, L. C.: Patterns and drivers
for wetland connections in the Prairie Pothole Region, United States, Wetl.
Ecol. Manage., 25, 275–297, 2017.
van der Kamp, G. W., Stolte, J., and Clark, R. G.: Drying out of small prairie
wetlands after conversion of their catchments from cultivation to permanent
brome grass, Hydrolog. Sci. J., 44, 387–397, 1999.
Van Meter, K. J. and Basu, N. B.: Signatures of human impact: size distributions
and spatial organization of wetlands in the Prairie Pothole landscape, Ecol.
Appl., 25, 451–465, 2015.
Venables, W. N. and Ripley, B. D.: Modern Applied Statistics with S, 4th Edn.,
Springer, New York, 2002.
Villalobos-Jimenez, G. and Hassall, C.: Effects of the urban heat island on the
phenology of Odonata in London, UK, Int. J. Biometeorol., 61, 1337–1346, 2017.
Wagener, T., Sivapalan, M., Troch, P., and Woods, R.: Catchment classification
and hydrologic similarity, Geogr. Compass, 1, 901–931, 2007.
Wiche, G. G.: Lake levels, streamflow, and surface–water quality in the Devil's
Lake Area, North Dakota, US Geological Survey Fact Sheet, US Geological Survey,
Bismarck, ND, 8 pp., 1996.
Willmott, C. J. and Feddema, J. J.: A more rational climatic moisture index,
Prof. Geogr., 44, 84–88, 1992.
Winter, T. C.: The concept of hydrologic landscapes, J. Am. Water Resour. Assoc.,
37, 335–349, 2001.
Winter, T. C. and Rosenberry, D. O.: The interaction of ground water with Prairie
Pothole wetlands in the Cottonwood Lake area, east-central North Dakota,
1979–1990, Wetlands, 15, 193–211, 1995.
Winter, T. C. and Rosenberry, D. O.: Hydrology of prairie pothole wetlands
during drought and deluge: 7-year study of the Cottonwood Lake wetland complex
in North Dakota in the perspective of longer term measured and proxy hydrological
records, Climatic Change, 40, 189–209, 1998.
Yao, T., Pu, J., Lu, A., Wang, Y., and Yu, W.: Recent glacial retreat and its
impact on hydrological processes on the Tibetan Plateau, China, and surrounding
regions, Arct. Antarct. Alp. Res., 39, 642–650, 2007.
Zhang, B., Schwartz, F. W., and Liu, G.: Systematics in the size structure of
prairie pothole lakes through drought and deluge, Water Resour. Res., 45, W04421,
https://doi.org/10.1029/2008WR006878, 2009.
Zhu, Z. and Woodcock, C. E.: Automated cloud, cloud shadow, and snow detection
in multitemporal Landsat data: An algorithm designed specifically for monitoring
land cover change, Remote Sens. Environ., 152, 217–234, 2014.
Short summary
Effective monitoring and prediction of flood and drought events requires an improved understanding of surface water dynamics. We examined how the relationship between surface water extent, as mapped using Landsat imagery, and climate, is a function of landscape characteristics, using the Prairie Pothole Region and adjacent Northern Prairie in the United States as our study area. We found that at a landscape scale wetlands play a key role in informing how climate extremes influence surface water.
Effective monitoring and prediction of flood and drought events requires an improved...
