Regional wetland water storage changes: The influence of future climate on geographically isolated wetlands

Cui, Quan; Ammar, Mohamed E.; Iravani, Majid; Kariyeva, Jahan; Faramarzi, Monireh

doi:10.1016/j.ecolind.2020.106941

Cited by 19 publications

(9 citation statements)

References 89 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The spatial variation of these climate variables was tested and found to be similar to the Alberta Environment and Parks reported climate data [54]. These data have been successfully incorporated in many applications, including flood frequency analysis [16], crop yield simulations [55][56][57], surface and subsurface water interactions [58], and storage changes in wetlands [59]. In this study we employed this hybrid climate dataset (hereafter referred to as observations dataset) as an observed climate dataset for the GCM evaluations.…”

Section: Datamentioning

confidence: 99%

Means and Extremes: Evaluation of a CMIP6 Multi-Model Ensemble in Reproducing Historical Climate Characteristics across Alberta, Canada

Masud

Cui

Ammar

et al. 2021

Water

Self Cite

View full text Add to dashboard Cite

This study evaluates General Circulation Models (GCMs) participating in the Coupled Model Intercomparison Project Phase 6 (CMIP6) for their ability in simulating historical means and extremes of daily precipitation (P), and daily maximum (Tmax), and minimum temperature (Tmin). Models are evaluated against hybrid observations at 2255 sub-basins across Alberta, Canada using established statistical metrics for the 1983–2014 period. Three extreme indices including consecutive wet days (CWD), summer days (SD), and warm nights (WN) are defined based on the peak over the threshold approach and characterized by duration and frequency. The tail behaviour of extremes is evaluated using the Generalized Pareto Distribution. Regional evaluations are also conducted for four climate sub-regions across the study area. For both mean annual precipitation and mean annual daily temperature, most GCMs more accurately reproduce the observations in northern Alberta and follow a gradient toward the south having the poorest representation in the western mountainous area. Model simulations show statistically better performance in reproducing mean annual daily Tmax than Tmin, and in reproducing annual mean duration compared to the frequency of extreme indices across the province. The Kernel density curves of duration and frequency as simulated by GCMs show closer agreement to that of observations in the case of CWD. However, it is slightly (completely) overestimated (underestimated) by GCMs for warm nights (summer days). The tail behaviour of extremes indicates that GCMs may not incorporate some local processes such as the convective parameterization scheme in the simulation of daily precipitation. Model performances in each of the four sub-regions are quite similar to their performances at the provincial scale. Bias-corrected and downscaled GCM simulations using a hybrid approach show that the downscaled GCM simulations better represent the means and extremes of P characteristics compared to Tmax and Tmin. There is no clear indication of an improved tail behaviour of GPD based on downscaled simulations.

show abstract

Section: Datamentioning

confidence: 99%

Means and Extremes: Evaluation of a CMIP6 Multi-Model Ensemble in Reproducing Historical Climate Characteristics across Alberta, Canada

Masud

Cui

Ammar

et al. 2021

Water

Self Cite

View full text Add to dashboard Cite

show abstract

“…For example, Cui et al (2021) used a machine learning (ML) approach to determine the relationship between a series of surveyed isolated wetland features (e.g., surface area, perimeter, shape, etc.) and volume storage of 99 892 permanent isolated wetlands in province of Alberta, Canada with surface area between 1000 and 100 000 m 2 .…”

Section: Introductionmentioning

confidence: 99%

“…Process‐based watershed models, such as Hydrotel (Fossey et al, 2015) or the Soil Water Assessment Tool (SWAT) (Neitsch et al, 2011), have been used for modelling of isolated/riparian wetlands at watershed scale. For example, Cui et al (2021) used a machine learning (ML) approach to determine the relationship between a series of surveyed isolated wetland features (e.g., surface area, perimeter, shape, etc.) and volume storage of 99 892 permanent isolated wetlands in province of Alberta, Canada with surface area between 1000 and 100 000 m 2 .…”

Section: Introductionmentioning

confidence: 99%

Improvement of Soil Water Assessment Tool (SWAT) wetland module for modelling of ephemeral pond hydrology

Bizhanimanzar,

Larocque,

Roux

2024

Hydrological Processes

View full text Add to dashboard Cite

Ephemeral ponds (EPs) are seasonally flooded isolated wetlands that provide a variety of hydroecological benefits, including the provision of breeding habitat for several amphibian and invertebrate species. However, the lack of their explicit representation in hydrological models limits a comprehensive understanding of their interaction with surrounding landscapes and their vulnerability in the context of human interventions and climate change. The purpose of this research was to improve the isolated wetland module of the Soil Water Assessment Tool (SWAT) to better represent EP hydrology. The changes include (1) representation of groundwater and hypodermic flow as the only inflows from the pond drainage surface, due to the intermittent and negligible presence of inflow from surface runoff in forested ponds, (2) revision of how evapotranspiration within EPs is represented and (3) implementation of distinct volume‐area‐depth relationships for ponds based on their geometrical shape. The accuracy of these improvements was assessed against that of a previous isolated wetland formulation in replicating water depth observations of 10 EPs of a portion of the Kenauk forest (68 km2) in the Canadian Shield of the Outaouais region (Québec, Canada). The comparison results show that the revised SWAT model presented here significantly improves the distinct filling and drying water cycle of EPs (average root mean square error of 0.1 m of the revised model vs. 0.23 m for the original model). Besides, the new module allowed to identify that hypodermic flow, evapotranspiration and seepage to the underlying soil are the main EP source and sinks. The new module also allowed to explicitly quantify the differences in filling/drying pattern of the EPs of the Kenauk forest and unlike the original model structure, the new module was able to closely replicate the interannual variation of spring and annual hydroperiod duration.

show abstract

“…Recent studies have also focused on understanding their hydrology at the local scale, for example, by using relatively simple water budget calculations (e.g., Bertassello et al, 2018; Pyke, 2005). Others have used approaches such as machine‐learning models and other modelling techniques to predict ephemeral pond inundation (Cartwright et al, 2021), water storage volume (Cui et al, 2021), and contribution to wetland discharge (Klammler et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

“…Although some authors argue that prolonged multi‐year hydrologic monitoring might not be necessary to understand the suitability of the ponds as breeding habitats (e.g., Skidds & Golet, 2005), many questions remain as to how geomorphologic and meteorologic conditions influence their hydrological variables. A growing number of studies are investigating the way in which anthropogenic pressures and climate change are expected to impact ephemeral ponds (e.g., Cui et al, 2021; Pyke, 2005). However, further investigation is needed to determine whether the drivers of pond hydrology contribute to pond hydrological resilience in a changing climate.…”

Section: Introductionmentioning

confidence: 99%

Geomorphological and meteorological drivers of ephemeral pond hydrology in the Canadian shield forest

Roux,

Larocque,

Nolet

et al. 2023

Hydrological Processes

View full text Add to dashboard Cite

Ephemeral ponds in cold and humid forested regions are often vulnerable because of their small size and ephemeral nature. The aim of this study was to identify the geomorphological and meteorological drivers of ephemeral pond hydrology in the forests of cold and humid climates. A multi‐year study of 40 ponds was conducted in the Kenauk forest located in the Canadian Shield of the Outaouais region (Quebec, Canada). Pond bathymetry, mineral and organic sediment thickness, watershed area, slope, canopy cover and maximum depth were measured in‐situ. The spring hydroperiod (the period during which there is water in the ponds between April and October) as well as the surface and groundwater recession rates were measured throughout the study period, from 2016 to 2020. Data from this study show that ponds located at lower altitudes in the landscape are larger, receive water from a larger area, and have longer hydroperiods than ponds located at higher altitudes. The results demonstrated a connection between the ponds and the surrounding aquifer. Spring and early summer precipitation was shown to affect hydroperiods the most, while summer precipitation influenced the presence of water in the ponds from April to October. Winter precipitation appear determinant for pond recession rates. Simple multiple regression models were able to simulate hydroperiods and hydroperiod indices relatively well, but pond recession rates were not well represented by the models. This study brings original multi‐year and multi‐site data identifying parameters and variables that determine ephemeral pond hydrology in cold and humid climates. The results provide new insights into their resilience on the landscape and bring new arguments for their long‐term protection.

show abstract

Regional wetland water storage changes: The influence of future climate on geographically isolated wetlands

Cited by 19 publications

References 89 publications

Means and Extremes: Evaluation of a CMIP6 Multi-Model Ensemble in Reproducing Historical Climate Characteristics across Alberta, Canada

Means and Extremes: Evaluation of a CMIP6 Multi-Model Ensemble in Reproducing Historical Climate Characteristics across Alberta, Canada

Improvement of Soil Water Assessment Tool (SWAT) wetland module for modelling of ephemeral pond hydrology

Geomorphological and meteorological drivers of ephemeral pond hydrology in the Canadian shield forest

Contact Info

Product

Resources

About