FEUWAnet: a multi-box water level and lateral exchange model for riparian wetlands

Dall'O', M.; Kluge, Winfrid; Bartels, Frank

doi:10.1016/s0022-1694(01)00401-2

Cited by 20 publications

(15 citation statements)

References 11 publications

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“…Another modelling approach is box-type models such as FEUWAnet (Dall'O' et al, 2001) which simulates the spatial heterogeneity and temporal variation of lateral (from catchment areas to water body) and vertical (from vegetation canopy to groundwater) water fluxes of riparian wetland ecosystems. This model consists of multiple boxes representing various water storage compartments (soil, groundwater, open water, etc.…”

Section: Wetland Gw-sw Modellingmentioning

confidence: 99%

A review of groundwater–surface water interactions in arid/semi‐arid wetlands and the consequences of salinity for wetland ecology

2008

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In arid/semi-arid environments, where rainfall is seasonal, highly variable and significantly less than the evaporation rate, groundwater discharge can be a major component of the water and salt balance of a wetland, and hence a major determinant of wetland ecology. Under natural conditions, wetlands in arid/semi-arid zones occasionally experience periods of higher salinity as a consequence of the high evaporative conditions and the variability of inflows which provide dilution and flushing of the stored salt. However, due to the impacts of human population pressure and the associated changes in land use, surface water regulation, and water resource depletion, wetlands in arid/semi-arid environments are now often experiencing extended periods of high salinity. This article reviews the current knowledge of the role that groundwater-surface water (GW-SW) interactions play in the ecology of arid/semi-arid wetlands. The key findings of the review are as follows:1. GW-SW interactions in wetlands are highly dynamic, both temporally and spatially. Groundwater that is low in salinity has a beneficial impact on wetland ecology which can be diminished in dry periods when groundwater levels, and hence, inflows to wetlands are reduced or even cease. Conversely, if groundwater is saline, and inflows increase due to raised groundwater levels caused by factors such as land use change and river regulation, then this may have a detrimental impact on the ecology of a wetland and its surrounding areas. 2. GW-SW interactions in wetlands are mostly controlled by factors such as differences in head between the wetland surface water and groundwater, the local geomorphology of the wetland (in particular, the texture and chemistry of the wetland bed and banks), and the wetland and groundwater flow geometry. The GW-SW regime can be broadly classified into three types of flow regimes: (i) recharge-wetland loses surface water to the underlying aquifer; (ii) discharge-wetland gains water from the underlying aquifer; or (iii) flow-through-wetland gains water from the groundwater in some locations and loses it in others. However, it is important to note that individual wetlands may temporally change from one type to another depending on how the surface water levels in the wetland and the underlying groundwater levels change over time in response to climate, land use, and management. 3. The salinity in wetlands of arid/semi-arid environments will vary naturally due to high evaporative conditions, sporadic rainfall, groundwater inflows, and freshening after rains or floods. However, wetlands are often at particular risk of secondary salinity because their generally lower elevation in the landscape exposes them to increased saline groundwater inflows caused by rising water tables. Terminal wetlands are potentially at higher risk than flow-through systems as there is no salt removal mechanism. 4. Secondary salinity can impact on wetland biota through changes in both salinity and water regime, which result from the hydrological and hydrogeo...

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Section: Wetland Gw-sw Modellingmentioning

confidence: 99%

A review of groundwater–surface water interactions in arid/semi‐arid wetlands and the consequences of salinity for wetland ecology

2008

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“…Correspondence to: J. Peters (jan.peters@ugent.be) particular exhibit a complex interplay between meteorological, hydrological and biological processes and interactions with the surrounding terrestrial and aquatic systems resulting in a high spatial and short-term variability (Dall'O' et al, 2001). The conceptual representation shown in Fig.…”

Section: Riparian Wetlands Inmentioning

confidence: 99%

Modelling groundwater-dependent vegetation patterns using ensemble learning

Peters

Baets²,

Samson

et al. 2008

Hydrol. Earth Syst. Sci.

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Abstract. Vegetation patterns arise from the interplay between intraspecific and interspecific biotic interactions and from different abiotic constraints and interacting driving forces and distributions. In this study, we constructed an ensemble learning model that, based on spatially distributed environmental variables, could model vegetation patterns at the local scale. The study site was an alluvial floodplain with marked hydrologic gradients on which different vegetation types developed. The model was evaluated on accuracy, and could be concluded to perform well. However, model accuracy was remarkably lower for boundary areas between two distinct vegetation types. Subsequent application of the model on a spatially independent data set showed a poor performance that could be linked with the niche concept to conclude that an empirical distribution model, which has been constructed on local observations, is incapable to be applied beyond these boundaries.

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“…Wetlands are considered among the most productive ecosystems and key service providers to humankind [1,2,3,4,5,6,7,8]. Coastal lagoons in particular, being in the boundary or ecotone between land and sea, are delicate and dynamic ecosystems, exposed to frequent fluctuations and alterations.…”

Section: Introductionmentioning

confidence: 99%

Water level fluctuations in a coastal lagoon: El Yali Ramsar wetland, Chile

2009

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El Yali coastal reserve is the most important wetland complex in central Mediterraneanclimate Chile, especially due to the native and foreign bird fauna which arrives here periodically; the wetlands represent habitat for more than 25% of the bird biodiversity in Chile. The coastal lagoon, part of a micro-tidal estuary (1.2 m tidal range), is a shallow (< 1 m depth) dynamic system and unique site of coexistence of northern halophyte and southern palustrian riparian vegetation. This study identifies and quantifies the effect of forcing variables in the lagoon's water level over one year of data collection. Transects of piezometers with level sensors were installed between the coastal lagoon and the sea. Monthly water quality data were collected. The soil is sandy with porosity of 0.43 and hydraulic conductivities circa 10 -4 m s -1 . During the winter rainy season, the lagoon connects with the sea via an ephemeral tidal inlet, producing noticeable daily variations in the water level, up to 80 cm depending on the tides. In contrast, during the season when bar closure of the inlet disconnects the lagoon from the sea, the lagoon level is very stable, and only decreases very slowly due to evaporation, which also makes the system hypersaline. Rainfall does not affect the lagoon level considerably, although groundwater levels responded quickly as expected for the sand berm material. During the connection phase, analyses using general pattern, spectral and Fourier analysis of the sea vs. lagoon-level signals show that two temporal scale hierarchies are relevant: monthly (due to moon cycles) and daily (due to tidal cycles every 12.5 and 24.2 hrs). A simple diffusion numerical model simulated the water table trends well for the sand bar between lagoon and sea, supporting the main effect of sea level on lagoon water levels. These and other methods coupled with ongoing data collection and the augmented monitoring network are to be used soon in connection to vegetation spatial data to study water-level and riparian vegetation interactions.

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FEUWAnet: a multi-box water level and lateral exchange model for riparian wetlands

Cited by 20 publications

References 11 publications

A review of groundwater–surface water interactions in arid/semi‐arid wetlands and the consequences of salinity for wetland ecology

A review of groundwater–surface water interactions in arid/semi‐arid wetlands and the consequences of salinity for wetland ecology

Modelling groundwater-dependent vegetation patterns using ensemble learning

Water level fluctuations in a coastal lagoon: El Yali Ramsar wetland, Chile

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