No description available.

In this dissertation, a hydrologic classification approach was tested using the shape factor of hydrographs to represent variation in streamflow regimes across Alberta. Hydrograph shape factor was effective at separating the forested landbase into 6 spatially distinct regions. Further statistical analysis of hydrometric data showed each region to have unique streamflow characteristics. Differences in physiography between regions were evident and strong associations were found between physical catchment characteristics and hydrologic variables describing streamflow magnitude and timing. In a case study, findings were used to define the regional natural range of hydrologic variation and applied into a watershed assessment tool evaluating the potential changes to streamflow regimes as a result of forest disturbance. This analysis showed that because of hydrologic variability among regions, spatial variation in sensitivity to harvest likely exists within the forested landbase, highlighting the need for development of regional criteria and indicators for sustainable management of water resources. / Forest Biology and Management

<p>The research was driven by a need to increase the knowledge base concerning wetland ecological responses, as well as to identify and evaluate the factors driving the functioning of the Franschhoek Trust Wetland. An ecohydrological study was undertaken in which vegetation cover, depth to groundwater, water and soil chemistry were monitored at 14 sites along three transects for a 12 month period. The parameters used include temperature, pH, electrical conductivity (EC), sodium, potassium, magnesium, calcium, iron, chloride, bicarbonate, sulphate, total nitrogen, ammonia, nitrate, nitrite and phosphorus. T-tests and Principal Component Analysis (PCA) were used to analyze trends and to express the relationship between abiotic factors and vegetation.</p>

<p>The research was driven by a need to increase the knowledge base concerning wetland ecological responses, as well as to identify and evaluate the factors driving the functioning of the Franschhoek Trust Wetland. An ecohydrological study was undertaken in which vegetation cover, depth to groundwater, water and soil chemistry were monitored at 14 sites along three transects for a 12 month period. The parameters used include temperature, pH, electrical conductivity (EC), sodium, potassium, magnesium, calcium, iron, chloride, bicarbonate, sulphate, total nitrogen, ammonia, nitrate, nitrite and phosphorus. T-tests and Principal Component Analysis (PCA) were used to analyze trends and to express the relationship between abiotic factors and vegetation.</p>

Magister Scientiae - MSc / The research was driven by a need to increase the knowledge base concerning wetland ecological responses, as well as to identify and evaluate the factors driving the functioning of the Franschhoek Trust Wetland. An ecohydrological study was undertaken in which vegetation cover, depth to groundwater, water and soil chemistry were monitored at 14 sites along three transects for a 12 month period. The parameters used include temperature, pH, electrical conductivity (EC), sodium, potassium, magnesium, calcium, iron, chloride, bicarbonate, sulphate, total nitrogen, ammonia, nitrate, nitrite and phosphorus. T-tests and Principal Component Analysis (PCA) were used to analyze trends and to express the relationship between abiotic factors and vegetation. / South Africa

>Magister Scientiae - MSc / The research was driven by a need to increase the knowledge base concerning wetland ecological responses, as well as to identify and evaluate the factors driving the functioning of the Franschhoek Trust Wetland. An ecohydrological study was undertaken in which vegetation cover, depth to groundwater, water and soil chemistry were monitored at 14 sites along three transects for a 12 month period. The parameters used include temperature, pH, electrical conductivity (EC), sodium, potassium, magnesium, calcium, iron, chloride, bicarbonate, sulphate, total nitrogen, ammonia, nitrate, nitrite and phosphorus. T-tests and Principal Component Analysis (PCA) were used to analyze trends and to express the relationship between abiotic factors and vegetation. Results reflect the strong influence of hydrology, microtopography and nutrient availability in structuring vegetation composition in the wetland. The wetland has been classified as a palustrine valley bottom with channel wetland, which is predominantly groundwater-fed (phreatrotropic), but receives surface water inputs as well. Small scale gradients of microtopography allow for differences in flooding frequency and duration resulting in hydrologically distinct sites which differ chemically. Three zones were distinguished in the wetland. Hollows or low sites were characterized by intermittent flooding and drying and higher nutrient concentrations in soil and groundwater. High sites which were rarely or never flooded exhibited higher groundwater temperature and ammonia as well as iron in soils and groundwater. The inundated sites remained flooded throughout the year and were characterized by high nitrate and nitrite in soil as well as high EC, magnesium, bicarbonate, sulphate and phosphorus in groundwater. The limited availability of nitrogen in the wetland favoured plant types Typha capensis, Paspalum urvillei and Juncus .kraussii which are able to either fix nitrogen or store nitrogen during more favorable conditions. The main chemical concentration changes take place between summer and winter. The Principal Component Analyses suggest that sodium, chloride, potassium, ammonia and phosphorus are the dominant ions determining the chemistry of groundwater. Increased abstraction from the table mountain aquifer to supplement human demand may put the wetland at risk of degradation. Intensified agriculture and other land use in the area are likely to increase pollution loads into the wetland causing shifts in nutrient availability and vegetation composition. Continued and long term monitoring is essential to ensure effective management of the wetland and is highly recommended. Closer partnerships between wetland managers and scientists as well as community awareness and involvement through a volunteer monitoring programme should be encouraged

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Bog turtles (Glyptemys muhlenbergii) are a small freshwater turtle ranging east of the Appalachian Mountains from New York to Georgia, in small, patchily distributed (<10ha) groundwater fed wetlands. Despite their name, these wetlands are more appropriately identified as seep meadows or fens owing to their reliance on groundwater, with bogs being typified by precipitation as the major hydrologic input. Groundwater inputs are not only important in taxonomically classifying wetland type, but also contribute in important ways to bog turtle natural history. Bog turtles ectothermically regulate body temperature by utilizing thermally buffered groundwater inputs during seasonal extremes. Perennially saturated wetland areas disrupt the establishment of facultative wetland vegetation or woody vegetation that may induce wetland succession, maintaining adequate bog turtle habitat. Further, groundwater input mechanistically contributes to microtopographic variation, providing viable nesting locations. Hydrologic studies pertaining to these wetland habitats has been limited in scope, and often attempts to define hydrologic regimes by use of a centrally placed monitoring well. Several studies that have comprehensively monitored these seep meadow wetlands show hydrologic regime variability at intrasite scales. In this thesis, I sought to confirm the spatially variable nature of hydrologic regimes in bog turtle wetlands. Finding that hydrologic conditions were location-dependent, I then tested whether a seep to non-seep hydrologic gradient, or the defining physical components therein, explained variation in bog turtle population density across a wetland. In Chapter II, I observed wetland conditions in summer extremes to categorize wetland areas based on surface saturation into seep, always wet, and sometimes wet locations. I placed multiple water level monitoring wells within these categories at six bog turtle wetlands and used observed water level data to test for spatial hydrologic variability at within- and across-site scales, finding that hydrologic regime can vary at short distances (<10m), and that alike categorized wells differed in groundwater inputs across-sites. I then used observed water level monitoring data during the growing season to test initial observer-based classifications. These classifications were then reorganized using the amount of time water remained near the soil surface, the degree of fluctuation that water level experienced, and differences in thermal exchange with ambient air temperature and thermally buffered groundwater input. I created a method to delineate spatially variable hydrologic regimes based on groundwater discharge by using several seep-associated features. Soil water temperature, depth to resistive soil layer, and specific conductivity were tested for sampling applicability across seasonal extremes, and for co-occurrence in constrained ordination with spatially explanatory covariates. I found that spatial gradients for relative measures of each seep-associated feature were largely consistent across seasons and that all seep-associated features were more often correlated than any other spatial arrangement. Constrained ordination model results were visualized to depict the seep to non-seep hydrologic gradients found within these wetlands. These gradients were then tested against observed water level data for their predictive capability, finding mixed results across seasons and that hydrologic gradients as modeled could likely be improved with additional explanatory information. Depending on where groundwater is entering a wetland, habitat conditions might vary for bog turtles. Seep areas create perennially saturated or mucky soil conditions, with locations further from groundwater discharge experiencing total or some degree of drying out in the growing season. Bog turtle habitat associations recorded in literature suggest that bog turtles are typically found in or near these soft mud or open water areas. Constant groundwater input near these seeps also leads to rivulet formation. Cool, gently flowing water weaves between hummocks of vegetation near these locations, creating pathways for easy movement, elevated platforms for turtles to bask, and muddy substrates to which turtles can retreat to. Because of the habit conditions afforded by these seep areas, I hypothesized that turtle density might be higher with seep occurrence as influenced by the underlying wetland hydrologic gradient. In Chapter III, I tested whether bog turtle population density was a function of hydrologic features across seep to non-seep gradients, relative soil water temperatures, the depth of substrate above a consolidated soil layer, and relative soil moisture conditions. In the summer of 2022, I trapped at six bog turtle wetlands and tracked 24 bog turtles with radiotelemetry. I used a spatially explicit capture mark recapture framework to estimate density and used data developed for hydrologic datasets in Chapter II to examine density associations. Bog turtle density relationships to hydrologic covariates varied across wetlands and supports the view that bog turtles in their active season are not particularly sensitive to specific hydrologic regime conditions, but rather utilize the entirety of wetland conditions. / Master of Science / Bog turtles (Glyptemys muhlenbergii) are a small freshwater turtle ranging east of the Appalachian Mountains from New York to Georgia, in small, patchily distributed (<10ha) groundwater-fed seep meadows and fens. Groundwater inputs create these wetlands and conditions necessary for bog turtle survival. Hydrologic studies in these wetland types are limited but hint towards a reliance on groundwater input as contributing to hydrologic regimes that are locationally dependent. In this thesis, I sought to confirm the spatially variable nature of hydrologic conditions in these wetlands by focusing on ground water entry points and testing whether seeps, or associated seep characteristics, influenced bog turtle population density across a wetland. In Chapter II, I used water level monitoring wells to establish that hydrologic regimes in bog turtle wetlands are spatially variable and characterized these regimes by the resulting saturated to dry surface conditions. I then selected wetland features hypothesized to be associated with groundwater discharge locations and provided evidence that these features occur together and are seasonally constant. These features were then used to delineate hydrologic gradients and tested for whether they could predict conditions observed in water level monitoring. Hydrologic gradients drawn from seep to non-seep locations had limited ability to predict observed hydrologic regimes. Ground water seeps are considered to contain necessary habitat conditions for bog turtles as thermal and predatory refugia, a mechanistic disturbance favoring herbaceous vegetation over woody vegetation, and provide processes that establish microtopographic variation favorable to bog turtle nesting behavior. In Chapter III, I used delineated gradients from the preceding chapter to assess underlying hydrologic conditions that explain where turtles are more likely to be found within their habitat, and whether these associations were shared across bog turtle populations. Bog turtle density across wetlands differed by hydrologic-associated features, and findings suggest that site-wide variability in conditions is the more important aspect of bog turtle wetlands than a specific hydrologic regime.

No description available.