2017
DOI: 10.5194/hess-2017-215
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Modeling the Potential Impacts of Climate Change on the Hydrology of Selected Forested Wetlands in the Southeastern United States

Abstract: Abstract. Riverine floodplains and coastal margins of the southeastern United States host extensive forested wetlands, providing myriad ecosystem services including carbon sequestration, water quality improvement, groundwater recharge, and wildlife habitat. However, these ecosystems, which are closely dependent on wetland hydrology, are at risk due to human-made climate change. This study develops site-specific empirical hydrologic models for five forested wetlands with different characteristics by synthesizin… Show more

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Cited by 2 publications
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“…To date, many hydrological models have been developed to describe coastal wetland hydrology (Dai et al, ; La Torre Torres, Amatya, Sun, & Callahan, ; Li, Barry, & Pattiaratchi, ; Li, Barry, Stagnitti, & Parlange, ; Lu, Sun, McNulty, & Amatya, ; Robinson, Gibbes, & Li, ; Sun, Riekerk, & Comerford, ; Yu et al, ; Yuan, Xin, Kong, Li, & Lockington, ; Zhu et al, ). Some of these models have physically based representations of hydrological processes (Dai et al, ; Li et al, ; Li et al, ; Robinson et al, ; Sun et al, ; Yu et al, ; Yuan et al, ).…”
Section: Introductionmentioning
confidence: 99%
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“…To date, many hydrological models have been developed to describe coastal wetland hydrology (Dai et al, ; La Torre Torres, Amatya, Sun, & Callahan, ; Li, Barry, & Pattiaratchi, ; Li, Barry, Stagnitti, & Parlange, ; Lu, Sun, McNulty, & Amatya, ; Robinson, Gibbes, & Li, ; Sun, Riekerk, & Comerford, ; Yu et al, ; Yuan, Xin, Kong, Li, & Lockington, ; Zhu et al, ). Some of these models have physically based representations of hydrological processes (Dai et al, ; Li et al, ; Li et al, ; Robinson et al, ; Sun et al, ; Yu et al, ; Yuan et al, ).…”
Section: Introductionmentioning
confidence: 99%
“…For example, Richards's equation and Darcy's law have been used for modelling subsurface and surface water flow (La Torre Torres et al, ; Yu et al, ). Alternatively, statistical models have been used to simulate and predict hydrological variables (e.g., groundwater table [GWT] depth) using empirical relationships between meteorological variables and hydrological states from site‐specific measurements (La Torre Torres et al, ; Lu et al, ; Zhu et al, ). These wetland hydrological models were often developed for specific types of wetland ecosystems.…”
Section: Introductionmentioning
confidence: 99%
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