Muskellunge (Esox masquinongy) and Northern Pike (E. lucius) are ecologically and economically important fish species that rely on coastal habitats in Georgian Bay, especially coastal marshes. These habitats have adapted to the high natural water-level fluctuations of Lake Huron but are threatened by changing water-level conditions associated with global climate change. The overall goals of this thesis were to identify important esocid habitats and understand how their suitability will be affected by changing water levels. First, I used tracking information from radio telemetry studies of esocid populations in spatially distinct regions of Georgian Bay to identify important habitats during breeding and non-breeding seasons. I documented the strong affinity of Muskellunge to re-use specific spawning grounds close to known nursery habitat in coastal marshes. Both Muskellunge and Northern Pike used coastal marshes during the non-breeding season, and physical habitat structure was a more important driver of habitat use in the summer months than water temperature. Next, I created a GIS model using only hydrogeomorphic features (depth, slope, and wave exposure) to map the extent of coastal marshes throughout eastern and northern Georgian Bay to assess how habitat would shift under a range of possible lake elevations scenarios (175.5 – 177.5 m). The geomorphology at low lake levels favoured large areas of shallow (< 0.5 m) habitat at the expense of deeper habitats (0.5 – 1.5 m) that can support an aquatic vegetation community more suitable for young esocids. I used a similar approach to develop a Resilience Index to rank coastal marshes according to their resilience/vulnerability to stable low water levels, for use as a regional screening tool to identify critical esocid habitat. This research advances the understanding of the effects of water levels on coastal marshes and provides applicable tools to assist in conservation and management of these important recreational fisheries. / Thesis / Doctor of Philosophy (PhD) / This Ph.D. thesis describes how changes in water levels may affect habitats used by Muskellunge and Northern Pike, two important species of sport fish, in Georgian Bay (Lake Huron). Coastal wetlands were identified as critical habitats, especially for early-life stages, and are directly influenced by water levels of the Great Lakes. I developed several tools to assist in identification, evaluation, and management of coastal wetlands in Georgian Bay, a relatively undisturbed coastal region in Ontario. These tools use physical features of the landscape to predict how wetlands will respond to different lake-level conditions and influence habitat suitability for Muskellunge and Northern Pike, as well as Great Lakes fish communities in general. My thesis provides tools for environmental agencies to adaptively manage important fish habitat in a period of unpredictable water levels associated with global climate change.

In the interest of maintaining lands to fully support the military mission, Department of Defense (DOD) installations must manage competing objectives under constraints related to mission operations, regulation and compliance requirements, and budget reductions. Silviculture offers promise for ecosystem management while providing financial means through the sale of forest products. This study used forest inventory and bald eagle nest site data to investigate the potential effects of silviculture on bald eagle nesting habitat at Naval Support Facility Indian Head. Mahalanobis distance was used to define and classify preferred nesting substrate. Silviculture was simulated using the Forest Vegetation Simulator (FVS) to assess forest nesting substrate, economic yields and the tradeoffs between these two objectives. An alternative substrate model based on cumulative distribution functions (CDFs) and Boolean logic allowed evaluation of the strengths and weaknesses of the Mahalanobis distance method. The Mahalanobis distance model provided greater relative fit to the sample of nest sites compared to the CDF model but had lower discriminating power between presence and absence data. Simulation results indicate that top performing silvicultural treatments resulted in greater substrate availability compared to no-action over equal time periods. Uneven-age management was shown as the best system for providing nesting substrate as well as favorable economic yields in hardwood stands. Results also stress the importance of thinning in providing future nesting substrate and maintaining preferred substrate late in the rotation. Economic and habitat tradeoffs varied by treatment, suggesting that optimum prescriptions could be identified to provide for both objectives and minimize tradeoffs. / Master of Science

Mesoscale networks, also known as Mesonets, are advanced environmental monitoring systems that consist of multiple high-quality weather stations that collect meteorological data at frequent intervals (5 minutes or less). Tennessee currently lacks a Mesonet system, and this study identifies suitable and feasible locations for stations in all 95 counties. Layers needed to develop the suitability model included land cover, road centerlines, elevation, flood zones, building footprints, and hydrologic soil types. Geospatial analysis techniques were used to process and combine these layers to identify suitable areas. Once suitable areas were determined, a feasibility assessment that examined land ownership, accessibility, and cell coverage was conducted and multiple potential station locations were identified in each county. The establishment of the Tennessee Mesonet is expected to enhance weather monitoring and provide reliable environmental data for multiple sectors, including emergency management, agriculture, transportation, conservation, health, and many more.

The Caretta caretta, or Loggerhead sea turtle, is a protected species found across all temperate and subtropical oceans. Previous research has identified that the Caretta caretta has preferences for nesting sites based on beach width, beach slope, and vegetation coverage, which facilitated the development of a nesting site suitability index. In this thesis, these indices were integrated with standard coastal geomorphology metrics in the ESRI Suitability Modeler to pinpoint potential nesting locations for the C. caretta on various beach reaches. The results were then validated against observed nesting site data. The results of this study can inform critical decisions regarding beach use and maintenance as it pertains to sea turtle conservation. Overall, this study demonstrates the utility of geospatial analysis and suitability models in understanding and safeguarding sea turtle nesting habitats.

Les invasions biologiques, deuxième menace majeure de la biodiversité, pose d'important défis pour la conservation de la biodiversité, et la recherche en éco-évolution. Les espèces invasives ont en effet été étudiées depuis plus de 150 ans, mais nos capacités à prédire leurs présences aujourd'hui et dans le futur reste rudimentaire. Ce problème est principalement dû à la difficulté d'estimer à la fois les composantes biotiques et abiotiques de la niche des espèces invasives, ainsi que leur évolution dans le temps et l'espace. L'objectif de ma thèse a été de travailler sur ces défis en améliorant les méthodes d'estimation de niche, en enrichissant notre compréhension du rôle des interactions biotiques dans le processus d'invasion, et en étudiant en détail comment les processus évolutifs peuvent affecter la dynamique spatio-temporelle des niches. Plus précisément, (1) à l'aide d'une revue de la littérature, j'ai commencé par décrire les limites des différentes approches de modélisation utilisées pour prédire la distribution des espèces invasives. (2) Ensuite, j'ai proposé un cadre de modélisation permettant d'améliorer l'estimation des niches abiotiques régionales. (3) Puis, je me suis intéressée à la caractérisation des interactions biotiques, et aux méthodes communément utilisées pour identifier les patrons de compétition symétrique en écologie des communautés. J'ai également implémenté un modèle de simulation d'assemblage de communautés pour tester la performance de ces méthodes. (4) Ces premières études m'ont permis d'étudier à la fois les composantes biotiques et abiotiques des communautés de plantes envahies dans les Alpes. (5) Finalement, j'ai étudié l'évolution de la niche environnementale chez une espèce invasive des Alpes françaises Ambrosia artemisiifolia L, à travers une approche reliant niche-trait-génétique. Dans l'ensemble, les résultats de ces études montrent à quel point les différentes facettes de l'écologie et l'évolution en invasion sont fortement intriquées. De plus, ils soulignent la nécessité d'une modélisation intégrant les processus écologiques et évolutifs pour pouvoir comprendre la dynamique des invasions et proposer des outils de protection de la biodiversité efficaces. / Biological invasions, the second major threat to biodiversity, pose significant challenges to conservation management and eco-evolutionary research. Even though invasion processes have been studied for more than 150 years, our capacity to predict their presence today and in the future is still rudimentary. This deficiency stems mainly from the difficulty involved in reliably assessing the ecological niche of an invader, i.e. those environmental and biotic conditions that allow the species to maintain viable populations. In particular, disentangling the abiotic and biotic components of the ecological niche and accounting for their changing over space and time due to evolutionary dynamics is difficult, albeit crucial for the quality of predictions. The main objective of my PhD has been to address these challenges by improving methodological approaches of niche estimation, advancing our understanding of the role of biotic interactions for invasion processes and studying in greater detail how evolution may affect spatio-temporal niche dynamics. More precisely, (1) with a comprehensive literature review, I started by describing the limits of the different modelling approaches usually applied to predict invasive species distributions. (2) Then, I provided a modelling framework for improving regional environmental niche estimations. (3) Thirdly, I focused on the identification of biotic interactions, and the methods commonly used to identify patterns of symmetric competition in ecological communities. I also implemented a simulation model of community assembly to test the efficiency of these methods. (4) In a fourth part, I studied invaded alpine plant communities and showed that characteristics of the biotic environment in these communities (e.g. symmetric vs. asymmetric competition) were good predictors of invaders' presence. (5) Finally, I provided a first example of a genetic-based, climatic niche expansion of the invasive weed Ambrosia artemisiifolia L. in the French Alps by combining information on its environmental niche, genetic structure and functional traits. Taken together, the results of these studies highlight how tightly the different facets of invasion ecology and evolution are interrelated and open the way to an integrated modelling approach that would advance both eco-evolutionary research on invasion dynamics and applied tools for biodiversity protection.

The study was based on cognitive biases with the aim of investigating the extent to which the individual's physical appearance affects the hiring process, and whether individuals who are perceived as more attractive are ascribed more positive characteristics. The study was conducted with a quantitative method, where the data collection was done via an online survey with 62 respondents, the majority of whom had previous experience of decision- making in a recruitment context. The respondents were asked to rate perceived attractiveness, characteristics and employability in four different individuals by looking at different facial images. All questions and rating scales on the questionnaire were based on the validated instruments Competence and warmth scale (CWS) and Job Suitability Scale (JSS). The results showed that more attractive people have a higher mean value than less attractive people in CWS and JSS. It was concluded that the individual's appearance has a significant impact in the hiring process, and that there is a tendency to attribute more positive characteristics to people who are considered more attractive compared to those who are judged to be less attractive. / Studien utgick från kognitiva fördomar med syftet att undersöka i vilken grad individens fysiska utseende påverkar anställningsprocessen, samt om individer som uppfattas som mer attraktiva tillskrivs mer positiva egenskaper. Studien genomfördes med en kvantitativ metod, där datainsamlingen skedde via en online-enkät med 62 respondenter, varav majoriteten hade tidigare erfarenhet av beslutsfattande inom rekryteringssammanhang. Respondenterna fick skatta upplevd attraktivitet, egenskaper och anställningsbarhet hos fyra olika individer genom att titta på olika ansiktsbilder. Samtliga frågor och skattningsskalor på enkäten utgick utifrån de validerade instrumenten Competence and warmth scale (CWS) och Job Suitability Scale (JSS). Resultatet visade att mer attraktiva personer har högre medelvärde än mindre attraktiva personer i CWS och JSS. Sammanfattningsvis drogs slutsatsen att individens utseende har en betydande inverkan i anställningsprocessen, samt att det finns en tendens att attribuera mer positiva egenskaper till personer som anses vara mer attraktiva jämfört med de som bedöms som mindre attraktiva.

This research was conducted to determine the main influences and physical factors of land suitability for rubber plantation in the Nam Dong district, Thua Thien Hue province. Six factors such as soil type, soil texture, soil thickness, slope, soil pH and soil organic matter content were considered. Results indicate that soil thickness is has the highest role on the land suitability analysis while soil pH has the lowest. The physical land suitability of rubber plantation was divided into 4 levels: very suitable (10.1%), suitable (15.5%), slightly suitable (3.6%), and currently not suitable (70,8%). This research provides important information for rubber cultivation in projected agricultural land use planning of the Nam Dong district. / Nghiên cứu này được thực hiện nhằm xác định sự ảnh hưởng của các yếu tố tự nhiên đến sự thích nghi đất đai của loại hình sử dụng đất trồng cây cao su trên địa bàn huyện Nam Đông, tỉnh Thừa Thiên Huế. Có 6 yếu tố được xem xét trong nghiên cứu này bao gồm: loại đất, thành phần cơ giới, tầng dày canh tác, độ dốc, độ chua và hàm lượng mùn trong đất. Kết quả nghiên cứu chỉ ra rằng tầng dày canh tác là yếu tố có ảnh hưởng lớn nhất đến việc sử dụng đất trồng cây cao su, trong khi đó độ chua là yếu tố có ảnh hưởng ít nhất. Sự thích nghi tự nhiên của loại hình sử dụng đất trồng cây cao su được chia thành 4 mức độ bao gồm rất thích nghi (10,1%), thích nghi (15,5%), tương đối thích nghi (3,6%) và hiện taị không thích nghi (70,8%). Nghiên cứu này cung cấp những thông tin cần thiết và hữu ích cho việc quy hoạch sử dụng đất trồng cây cao su trên địa bàn huyện Nam Đông.

Master of Landscape Architecture / Landscape Architecture/Regional and Community Planning / Brent Chamberlain / Anthropocentric disturbances are often the main driver behind the population decline of wildlife species. Bat species are of particular concern recently with large declines in populations worldwide. The conservation of bat species relies on knowledge about the relationship between species-specific needs and the effect urban environments have on individual species. Mexican Free-Tailed Bats (MFTBs) are listed on the IUCN Red List and play an important role in many ecosystems within the United States. Austin, Texas is home to the largest urban bat colony in the world, including MFTBs. Austin can continue to benefit from millions of dollars from ecotourism bat viewing sites and the natural control of insect populations provided by this species if urbanization does not cause a reduction in their population. The focus of this research is to develop a quantitative habitat suitability model for the MFTBs in urban areas to increase the understanding of possible MFTB habitat in the Austin Metropolitan area. A geographical information system was used to map the suitability of habitats for MFTBs in urban areas based off a typology for the needs of the species, which was created through a literature review of expert knowledge. This study will help to quantify the relationship between urban environments and the MFTBs, showing that urban areas in the Austin Metropolitan area are suitable for the species. A predictive model, like the one described here, can act as a crucial assessment and planning tool for bat conservation by helping to eliminate challenges of tracking populations or identifying bats during nocturnal activities. This model informs the proposal of planning and design policy changes in Austin, Texas to better support MFTB’s habitat needs. Adjustments to current site plans in Austin are explored understand the effect the proposed MFTB planning policies could have on current development while exploring the application of the MFTB typology at a site scale. Application of the understanding created through habitat-suitability modelling helps to visualize how current projects in Austin, Texas can better support MFTBs to create an understanding of how these policies may affect the development of urban environments.

I quantified habitat selection for the endangered Zuni Bluehead Sucker Catostomus discobolus yarrowi and the Navajo Nation Genetic Subunit (NNGS) Bluehead Sucker Catostomus discobolus - a recent taxon described from genetic information. Both taxa are found in northern Arizona and New Mexico border regions. I examined fish [≥50 millimeters (mm) total length (TL)] selection of microhabitat conditions (i.e., water velocity, substrate size, overhead cover, water depth, instream cover, and mesohabitat conditions [i.e., pool, run riffle], during summer base flow conditions for NNGS Bluehead Suckers, and during both summer base flow and high spring flow conditions for Zuni Bluehead Suckers in six streams). Electrofishing, seining, and snorkeling were used to evaluate fish occupancy. From this information, I developed stream specific habitat suitability criteria (HSC) and then generalized HSC for each taxon, and tested transferability of the generalized HSC to individual streams. Zuni Bluehead Suckers and NNGS Bluehead Suckers occupied similar habitats: low velocity pools; sand, silt, and pebble substrate; high percent of instream cover; and water temperatures ranging from 2-21°C. However, Zuni Bluehead Suckers selected for low (0-25%) overhead cover where as NNGS Bluehead Sucker selected for high (0-75%) overhead cover. This was likely due to the source of instream cover–aquatic macrophytes that required sunlight in the Zuni Bluehead Sucker streams, and large woody debris falling from overhead branches in the NNGS Bluehead Sucker streams. Suggestions for managers includes maintaining existing cover or artificially construct additional instream cover; promote overhead cover (e.g., maintaining large trees along streams) and pool mesohabitats. In addition to this work I also tested the new method of environmental DNA (eDNA) to further help conservation efforts for these taxa. Environmental DNA has typically been used to detect invasive species in aquatic environments through water samples. I compared the efficacy of eDNA methodology to American Fisheries Society standard snorkeling surveys to detect presence of a rare fish species. My study site included three streams on the Navajo Nation in northern Arizona and northern New Mexico containing Navajo Nation Genetic Subunit Bluehead Sucker Catostomus discobolus and the Zuni Bluehead Sucker Catostomus discobolus yarrowi. To determine sample sites, I first divided entire wetted area of streams into 100-m consecutive reaches. I systematically selected 10 of those reaches for snorkel and eDNA surveys. Water samples were taken in 10-m sections within each 100-m reach, and fish presence via snorkeling was noted in each 10-m section as well. Water samples were collected at the downstream starting point of each reach, and continued upstream in each section 5 to 8 m ahead of the snorkeler. A qPCR was run on each individual water sample in quadruplicate to test for sucker presence or absence. I was able to positively detect both species with eDNA sampling techniques in two out of three streams. Snorkeling resulted in positive detections of both species in all three streams. In streams where fish were detected with eDNA sampling, snorkeling detected fishes at 11-29 sites per stream, where as eDNA detected fish at 3-12 sites per streams. My results suggested that AFS standard snorkeling was more effective at detecting target fish species than eDNA. To improve eDNA sampling, the amount of water collected and tested should be increased. Additionally, filtering water on site may improve eDNA techniques for detecting fish. Future research should focus on standardizing eDNA sampling to provide a widely operational sampling tool similar to electrofishing, netting, and hydroacoustics.

This research compares three approaches to land suitability evaluation, Boolean, Fuzzy AHP and Ideal Point, for barley, wheat and maize crops in the north-western region of Jeffara Plain in Libya. A number of soil and landscape criteria were identified to accommodate the three cash crops under irrigation conditions and their weights specified as a result of discussions with local experts. The findings emphasised that soil factors represented the most sensitive criteria affecting all the crops considered. In contrast, erosion and slope were found to be less important in the study area. Using Boolean logic the results indicated only four suitability classes (highly suitable, moderately suitable, marginally suitable and currently not suitable) for all crops. In contrast, the results obtained by adopting the Fuzzy AHP and Ideal Point approaches revealed that the area of study has a greater degree of subdivision in land suitability classes. Overall, the results of the three approaches indicated that the area under consideration has a good potential to produce barley, wheat and maize under irrigation provided that the water and drainage requirements are met. Comparing the three models showed that each suitability class derived from the Boolean approach is associated with low and high values for joint membership functions when derived from Fuzzy AHP and Ideal Point approaches respectively. In other words, the two fuzzy approaches have shown their ability to explore the uncertainties associated with describing the land properties. The richer overall picture provides an alternative type of land suitability evaluation to Boolean approaches and allows subtle variations in land suitability to be explored. The Fuzzy AHP approach was found to be better than the Ideal Point approach; the latter was biased towards positive and negative ideal values. In the future, field trial plots will be needed to evaluate and validate the results further.