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ABSTRACT The greatest driver of the current global biodiversity crisis is habitat loss. Roads are a major contributor to habitat loss because they destroy and fragment habitat, in addition to causing direct mortality. Animals may respond to roads either by avoiding them, thus leading to population isolation, or by attempting to cross them, thus potentially leading to increased mortality and, if so, also to population isolation. I studied the impact of road density on abundance of two northern snake species: the redbelly snake (Storeria occipitomaculata) and the garter snake (Thamnophis sirtalis). I hypothesized that roads are detrimental to snake populations due to road avoidance and road mortality. Therefore, I predicted that snakes should be less abundant in sites with higher road density in their surroundings. I deployed cover boards at 28 old field sites along a gradient of road density in 2020 and in 2021. I visited sites weekly and counted the number of individuals of both species. I captured fewer garter snakes at sites surrounded by more roads, and fewer redbelly snakes at sites enclosed by more roads. The effect of roads on number of snakes is modest, but could be indicative of decreasing population size, which could in turn lead to loss of ecological function. RÉSUMÉ Le plus grand moteur de la crise mondiale actuelle de la biodiversité est la perte d'habitat. Les routes contribuent grandement à la perte d'habitat parce qu'elles détruisent et fragmentent l'habitat, en plus de causer de la mortalité directe. Les animaux peuvent réagir aux routes soit en les évitant, entraînant ainsi l'isolement des populations, soit en tentant de les traverser, entraînant ainsi potentiellement une mortalité accrue et également l'isolement des populations. J'ai étudié l'impact de la densité des routes sur l'abondance de deux espèces de couleuvres nordiques : la couleuvre à ventre rouge (Storeria occipitomaculata) et la couleuvre rayée (Thamnophis sirtalis). J'ai émis l'hypothèse que les routes sont néfastes pour les populations de serpents en raison de l'évitement des routes et de la mortalité routière. Par conséquent, j'ai prédit que les couleuvres devraient être moins abondantes dans les sites avec une densité routière plus élevée dans leurs environs. J'ai déployé des plaques abris sur 28 sites de champs en friche le long d'un gradient de densité de routes en 2020 et en 2021. J'ai visité les sites chaque semaine et compté le nombre d'individus des deux espèces. J'ai capturé moins de couleuvres rayées et moins de couleuvres à ventre rouge aux sites entourés de plus de routes. L'effet des routes sur le nombre de couleuvres est modeste, mais pourrait indiquer une diminution de la taille de la population, ce qui pourrait à son tour entraîner une perte de fonction écologique.

There is no single methodology toward freshwater conservation planning, and few analytical tools exist for summarizing ecological risks at a landscape scale. I constructed a relative risk model, the Ecological Risk Index (ERI), to combine the frequency and severity of human-induced stressors with mappable land and water use data to evaluate impacts to five major biotic drivers: energy sources, physical habitat, flow regime, water quality, and biotic interactions. It assigns 3 final risk rankings based on a user-specified spatial grain. In a case study of the 5 major drainages within the upper Tennessee River basin (UTRB), U.S.A, differences in risk patterns among drainages reflected dominant land uses, such as mining and agriculture. A principal components analysis showed that localized, moderately severe threats accounted for most of the threat composition differences among watersheds. Also, the relative importance of threats is sensitive to the spatial grain of the analysis. An evaluation of the ERI procedures showed that the protocol is sensitive to how extent and severity of risk are defined, and threat frequency-class criteria strongly influenced final risk rankings. Multivariate analysis tested for model robustness and assessed the influence of expert judgment by comparing my original approach to a quantile-based approach. Results suggest that experts were less likely to assign catchments to high-risk categories than was the quantile approach, and that 3 final risk rankings were appropriate. I evaluated the influence of land use on freshwater ecosystems by studying the relationship between land cover changes and the persistence of freshwater mussels. First, historical species data were collected and the Upper Tennessee River Mussel Database (UTRMD) was constructed. The UTRMD contains >47,400 species records from 1963-2008 distributed across nearly 2,100 sampling sites. My study suggests that 30 years of land cover change does not explain observed freshwater mussel declines. Quantitative surveys are recommended basin-wide to provide more accurate information about mussel distribution and abundance. Lastly, results suggest that streams with repeated mussel surveys have increasing populations, including active recruitment in several beds. Additional quantitative surveys since 2004 have probably provided more accurate species and population counts, although actual population sizes are still uncertain. / Ph. D.

The population of Greater Roanoke Area during the last decade grew by ten percent. The recent growth has changed the countryside. The agricultural lands in this area has been replaced by sprawling housing subdivisions and strip commercial development. Greater Roanoke Area and its surrounding areas now face problems of traffic congestion, visual and environmental degradation due to commercial and residential growth. Greater Roanoke Area will need an innovative open space plan which preserves the natural character and unique qualities of the place. Many other regions and counties in the United States share similar concerns and needs. There has been parallel progress in the field of landscape ecology and landscape planning for better understanding of our environment. The primary goal of this thesis is to use concepts from both of these fields with an intent of developing an approach which will help both planners and landscape architects to plan and design for open space in a way that meets long term ecological needs and concerns. This thesis develops a process whereby an optimum spatial pattern for Greater Roanoke Area (one that maintains biodiversity, protects natural and cultural resources, improves water quality, protects soils, and increases productivity) is derived. This open space planning approach can in turn be used to guide other regions and counties in developing ecologically grounded open space plans. Spatial attributes, functions and the change dynamics of the landscape are targeted and analyzed to provide a foundation for an open space plan. Management priorities are then established for protecting, enhancing, and restoring agricultural lands, forest lands, wetlands, streams, and special sites. The tools for preserving open space areas are education, community involvement and government regulations. / Master of Landscape Architecture

The status of whitebark pine (Pinus albicaulis), a foundation and keystone species and a pioneer establisher at alpine treeline, is threatened by the invasive and exotic fungal pathogen (Cronartium ribicola) that causes white pine blister rust in five-needled pines. Originally thought to be limited to moderate environments, the disease is now found extensively throughout colder and dryer regions east of the Continental Divide, including alpine treeline. My research objective was to determine how blister rust infection of treeline whitebark pine varies across Glacier National Park. I present findings from field sampling conducted in July 2008 in Glacier National Park, Montana. Thirty plots were randomly placed at 6 different treeline study sites on the eastern slopes of the Continental Divide. Vegetative and geomorphic characteristics, along with presence/absence and level of blister rust intensity, were detailed within each plot. Vegetation measurements included conifer composition, tree island dimensions and windward growth patterns, evidence and intensity of blister rust, as well as shelter type. Field-measured topographic characteristics included elevation, aspect, and slope. In addition, high resolution GPS-derived DEMs were created at each plot in order to model the land surface and calculate detailed environmental variables in a GIS. Environmental and blister rust intensity variables were used to determine spatial correlates of blister rust infection at treeline. The resulting blister rust prediction model (P < 0.001, F(4,25) = 6.79, R2 = 0.52, Adjusted R2 = 0.44) suggests that areas exhibiting increased wind speed, northwest facing slopes, high flow accumulation rates, and close proximity to perennial streams have a higher likelihood of blister rust intensity, specifically total canker density. Results of this research may contribute to the understanding of the dynamics of this disease, and prove useful in whitebark ecosystem management and conservation. / Master of Science

Traditional trails near backcountry stream corridors are often designed with disregard to their potential ecological impact. Ecological and trail related literature show that riparian landscapes are sensitive to recreation impacts. This thesis examines concepts for designing trails in ecologically compatible ways near backcountry stream corridors. The synthesis of the literature regarding the biophysical processes of stream corridors and the effects of trails on the environment is used to help develop principles and guidelines for locating trails near backcountry stream corridors. In turn, these principles and guidelines assisted in the development of a trail assessment manual useful to scientists, planners, and designers. Seven trail impacts are assessed: excessive soil erosion, wet trails, water on trails, excessive trail widths, multiple trails, root exposure, and stream sedimentation. Three backcountry study sites from the Appalachian Ridge and Valley Province of Virginia are evaluated. A ranking and measurement procedure is developed to characterize environmental, use, design/siting, construction, and maintenance factors because each of these influence the degree of impacts along studied trails. Results show that many steep trail segments, especially those without proper drainage features have incised or eroded trail treads. Likewise, many trail segments without drainage features located along flat adjacent landforms have wet soil and water on trail impacts. Overall results show that as use amount or type increase there is a parallel in trail and environmental degradation. Finally, a stream crossing and trail drainage concept is developed illustrating ways to reduce sediment inputs into nearby streams. / Master of Landscape Architecture

[Truncated abstract] The aim of this research was to define key species-environment relationships to better understand the spatial ecology of demersal fish. To help understand these relationships a combination of multivariate analyses, landscape analysis and species distribution models were employed. Of particular interest was to establish the scale at which these species respond to their environment. With recent high resolution surveying and mapping of the benthos in five of Victoria's Marine National Parks (MNPs), full coverage bathymetry, terrain data and accurate predicted benthic habitat maps were available for each of these parks. This information proved invaluable to this research, providing detailed (1:25,000) benthic environmental data, which facilitated the development and implementation of a very targeted and robust sampling strategy for the demersal fish at Cape Howe MNP. The sampling strategy was designed to provide good spatial coverage of the park and to represent the park's dominant substrate types and benthic communities, whilst also satisfying the assumptions of the statistical and spatial analyses applied. The fish assemblage data was collected using baited remote underwater stereo-video systems (stereo- BRUVS), with a total of 237 one-hour drops collected. Analysis of the video footage identified 77 species belonging to 40 families with a total of 14,449 individual fish recorded. ... This research revealed that the statistical modelling techniques employed provided an accurate means for predicting species distributions. These predicted distributions will allow for more effective management of these species by providing a robust and spatially explicit map of their current distribution enabling the identification and prediction of future changes in these species distributions. This research demonstrated the importance of the benthic environment on the spatial distribution of demersal fish. The results revealed that different species responded to different scales of investigation and that all scales must be ix considered to establish the factors fish are responding to and the strength and nature of this response. Having individual, continuous and spatially explicit environmental measures provided a significant advantage over traditional measures that group environmental and biological factors into 'habitat type'. It enabled better identification of individual factors, or correlates, driving the distribution of demersal fish. The environmental and biological measures were found to be of ecological relevance to the species and the scale of investigation and offered a more informative description of the distributions of the species examined. The use of species distribution modelling provided a robust means for the characterisation of the nature and strength of these relationships. In addition, it enabled species distributions to be predicted accurately across unsampled locations. Outcomes of the project include a greater understanding of how the benthic environment influences the distribution of demersal fish and demonstrates a suite of robust and useful marine species distribution tools that may be used by researcher and managers to understand, monitor, manage and predict marine species distributions.

Biological diversity is a key component in assessing ecosystem health. Alteration, degradation and loss of habitat due to human influence is currently the primary stressor resulting in decreases in diversity. Reliable assessment of large areas in terms of biological integrity are needed for conservation and preservation efforts. Remotely sensed data provide an integrated view of reflected electromagnetic energy over large areas of the earth. These energy patterns provide unique spectral signatures which can be correlated to land cover and habitat. This research sought relationships between traditional ecological measures and information gathered from satellite digital imagery. Reliable interpretation of earth surface characteristics relies largely on accurate rectification to a map projection and subsequent thematic classification. Use of the Global Positioning System (GPS) for rectification was superior than digitizing topographical maps. Differentially corrected GPS locations provided optimum rectification with SPOT satellite imagery while marginally better rectifications were obtained for Landsat MSS imagery using uncorrected GPS positions. SPOT imagery provided more accurate land cover classifications than did MSS. Detection of temporal land cover change using MSS imagery was hampered by confusion among intermediate successional classes. Confusion between upland and bottomland forest classes occurred with both SPOT and MSS. Landscape analyses using thematic maps produced from the previously discussed endeavors suggested that terrestrial habitat in the Ray Roberts Lake area became more fragmented and complex in shape. Habitat patches became smaller but more numerous. Forested areas were most effected and conservation efforts should focus on management strategies that promote vegetation succession and forest maturation. Remotely sensed SPOT data were successfully used to predict tree basal area. There were no significant relationships found with other in situ measures or between MSS data and any vegetation measures. Remote sensing provided information suitable for large scale projects concerning landscape-level ecological issues. Rectification and classification accuracies were the primary factors influencing meaningful interpretation. Project goals should determine the scale of remotely sensed data and acceptable level of accuracy.