Graduate Theses & Dissertations


Tabanidae and Culicidae in the Northern Boreal Region of Ontario
I studied the abundance, distribution and diversity of horse fly and deer fly species (Diptera: Tabanidae) and mosquito species (Diptera: Culicidae) in the boreal forest region of northern Ontario in 2011 and 2012. I collected 19 mosquito species, including one species new for Ontario, Aedes pullatus (Coquillett). I documented 11 northern and one southern range extension. I also collected a total of 30 species of horse and deer flies, including one new species of horse fly for Ontario, Hybomitra osburni (Hine). Results were inconsistent with a hypothesis of colonization of dipteran species from west to east. I examined the trapping biases of Malaise and sweep sampling for horse and deer flies and found that Malaise traps collected fewer individuals than sweep netting (850 versus 1318) but more species (28 versus 22). Consequently, I determined that surveys of diversity benefit from the use of multiple trapping methods. I also examined how blood-feeding (anautogeny) requirements affect the distribution patterns of Tabanidae. Ultimately, there are likely multiple factors that affect the expression of anautogeny in Tabanidae. Author Keywords: Autogeny, Culicidae, Diversity, Hudson Bay Lowlands, Northern Ontario, Tabanidae
Temperature effects on the routine metabolic rates of brook trout (Salvelinus fontinalis) eggs, alevin and fry
Early developmental stages of cold-adapted ectotherms such as brook trout (Salvelinus fontinalis) are at risk of mortality with increasing water temperatures because of their sensitivity to changes in their environment. I studied the mass and routine metabolic rate (RMR) of wild-origin brook trout eggs, alevin and young fry reared at normal (5°C) and elevated (9°C) temperatures for the duration of the study or at mismatched temperatures. This setup determined if preconditioning acclimation for one temperature benefits or hinders the organism later in life. Three levels of biological organization (ancestry, population, family) were studied using Akaike’s Information Criterion (AIC) to identify models that best accounted for variation in the data. Family, mass and temperature were most important in predicting body mass and mass-adjusted RMR, although population and ancestral-level differences were also detected at some life stages. Strong variation in body mass and mass-adjusted RMR among families may indicate adaptive potential within brook trout populations to respond to increases in water temperature with climate change. Author Keywords: Acclimation, AIC, Brook trout (Salvelinus fontinalis), Environmental matching, Routine metabolic rate, Temperature
Temporal Variability of Coloured Dissolved Organic Matter in the Canada Basin, Arctic Ocean (2007-2017)
This thesis investigated coloured and fluorescent dissolved organic matter in the Canada Basin, Arctic Ocean from 2007 to 2017. The first interannual time-series of its kind in the Canada Basin incorporated the use of EEM-PARAFAC to validate a seven-component model. Statistical temporal tests revealed (1) an increasing protein-like intensity in the upper polar mixed layer (UPML); (2) increasing intensities of humic-like components in the halocline due to increasing freshwater content; and (3) no change in DOM composition in deeper Atlantic waters (AW) congruent with the long residence time of the water mass (> 30 years). The significant decline in sea ice concentration was related to a decrease in humic-like FDOM due to enhanced photodegradation and an increase in protein-like FDOM, likely the results of increased biological activities in surface layers. This research provides evidence that the changes in physical and biological environment in the Arctic regions have already profound impacts on the composition and distribution of FDOM. Author Keywords: absorbance, Arctic Ocean, dissolved organic matter, fluorescence, parallel factor analysis, time-series
Temporal variation of dissolved organic matter and diffusive gradient in thin films-labile mercury in the Quesnel river, BC, and the Goose Creek tributary of Churchill river, MB
This study examined dissolved organic matter (DOM) and labile Mercury (from diffusive gradient in thin films (DGT)) in the Quesnel river, British and the Goose creek tributary of the Churchill river, Manitoba. DOM properties were measured with optical measurements of absorption coefficient (a254), spectral slopes (S275-295, SR) and fluorescence indices (HIX, BIX, FI). The DOC proxy measurements (a254) were almost 10 times higher at the Churchill site (Mean a254 116.77 cm-1) compared with the Quesnel river site (Mean a254 12.06 cm-1) during the study periods. While DGT labile Hg concentrations at the Quesnel site (2.17 to 98.97ppt) were almost 10 times more than the levels reported at the Churchill site (0.03 to 9.06 ppt). Fluorescence indices and the rise of labile Hg concentrations in spring indicated mostly terrestrial sources of DOM at both the sites. Spectral slopes and fluorescence indices substantiated that Churchill site had high molecular weight, complex and more humic DOM compared with Quesnel. DOM at both the sites was prone to temporal variation and affected by environmental conditions. Correlation between DGT labile-Hg and DOM parameters suggested that DGT collected Hg-organic complexes along with inorganic labile-Hg complexes. Author Keywords: Churchill, Diffusive gradient in thin films, Dissolved organic matter, Labile Hg, Mercury, Quesnel
Temporo-spatial patterns of occupation and density by an invasive fish in streams
Since its introduction to North America in the 1990s, the Round Goby has spread throughout the Great Lakes, inland through rivers and is now moving into small tributary streams, a new environment for this species in both its native and invaded ranges. I explored density and temporal occupation of Round Gobies in four small streams in two systems in south-central Ontario, Canada in order to determine what habitat variables are the best predictors of goby density. Two streams are tributaries of Lake Ontario and two are tributaries of the Otonabee River, and all of these streams have barriers preventing upstream migration. I found that occupation and density differed between the systems. In the Otonabee River system, Round Gobies occupy the streams year round and the most important factor determining adult density is distance from a barrier to upstream movement, with the entire stream occupied but density highest next to the barriers. In the Lake Ontario system, density is highest at mid-stream and Round Gobies appear to occupy these streams mainly from spring to fall. Adult density in Lake Ontario tributaries is highest in sites with a high percentage of cobble/boulder and low percentage of gravel substrate, while substrate is less important in Otonabee River tributaries. Occupation and density patterns may differ due to contrasting environmental conditions in the source environments and distance to the first barrier preventing upstream movement. This study shows diversity in invasion strategies, and provides insight into the occurrence and movement patterns of this species in small, tributary streams. Author Keywords: biological invasion, Generalised Additive Mixed Model, habitat, Neogobius melanostomus, Round Goby, stream
Testing for Interspecific Hybridization and a Latitudinal Cline Within the Clock Gene Per1 of the Deer Mouse (Peromyscus maniculatus) and the White-Footed Mouse (Peromyscus leucopus)
The recent northward expansion of the white-footed mouse (Peromyscus leucopus) in response to climatic changes provides a natural experiment to explore potential adaptive genetic variation within the clock gene Per1 in Peromyscus undergoing latitudinal shifts, as well as, the possibility of hybridization and introgression related to novel secondary contact with its sister species the deer mouse (Peromyscus maniculatus). Because clock genes influence the timing of behaviors critical for survival, variations in genotype may reflect an organism’s ability to persist in different environments. Hybridization followed by introgression may increase the adaptive potential of a species by quickly generating adaptive variation through novel genetic recombination or by the transfer of species-specific alleles that have evolved in response to certain environments. In chapter 2, I used microsatellite and mtDNA markers to test for hybridization and introgression between P. maniculatus and P. leucopus and found that interbreeding is occurring at a low frequency (<1%). In chapter 3, I tested for a latitudinal cline in a polyglycine repeat located within the Per1 gene of Peromyscus and discovered a putative cline in the Per1-142 and Per1-157 allele of P. leucopus and P. maniculatus, respectively. Chapter 4, further expands upon these findings, limitations, and the lack of evidence supporting introgression at the Per1 locus. Despite this lack of evidence, it is possible that novel hybridization has or could lead to adaptive introgression of other genes, allowing for the exchange of adaptive alleles or traits that could be advantageous for range expansion and adaption to future environmental changes. Author Keywords: Clock genes, Hybridization, Latitudinal gradient, Per1, Peromyscus, Range Expansion
Tests of the Invasional Meltdown Hypothesis in invasive herbaceous plant species in southern Ontario
According to the Invasional Meltdown Hypothesis (IMH), invasive species may interact in their introduced range and facilitate future invasions. This study investigated the possibility that Alliaria petiolata, an invasive allelopathic herbaceous plant in Ontario, is facilitating invasions by additional alien species. Two allelopathic focal species were chosen for this study: the native Solidago canadensis and the invasive A. petiolata. Field surveys in southern Ontario that quantified plant biodiversity in plots that included one or both focal species revealed no support for the IMH, although fewer species co-existed with A. petiolata than with S. canadensis. A year-long recruitment experiment in Peterborough, Ontario, also produced results inconsistent with the IMH, although did provide some evidence that A. petiolata limited recruitment of other species. These results collectively show negative impacts on regional biodiversity by A. petiolata, even in the absence of an invasional meltdown. Author Keywords: allelopathy, Alliaria petiolata, co-occurrence surveys, invasional meltdown hypothesis, invasive species, Solidago canadensis
The Desire to Be Authentic
Authenticity has been demonstrated as an important factor in relationships and sexual health (Impett et al., 2006; Impett, Breines, & Strachman, 2010). Although authentic behaviour is generally beneficial, sharing our true thoughts, feelings, and desires may be especially difficult in sexual contexts. Existing research has demonstrated that individuals find sexual communication awkward, uncomfortable, and embarrassing and may avoid such discussions overall (Shumlich & Fisher, 2020). Despite the evidence that behaving authentically in sexual contexts is uniquely challenging, research has yet to explore sexual authenticity. A primary objective of this study was to develop a measure to assess individuals’ level of sexual authenticity. Study 1 involved performing several exploratory factor analyses on the 23 proposed items, which yielded a 15-item scale that loaded onto three factors: 1) Honest Sexual Communication, 2) Sexual Placating, and 3) Sexual Self-Doubt. These subscales were statistically associated with related constructs such as relationship authenticity, honesty, and sexual deception. In Study 2, confirmatory factor analyses were conducted on two independent samples which provided additional support for the model and evidence for generalizability for the scale. The resulting Sexual Authenticity Scale was then leveraged to examine the relationships between sexual authenticity and its proposed benefits. Overall, sexual authenticity was found to be associated with enhanced sexual communication, sexual consent behaviours, and higher sexual and relationship satisfaction. Author Keywords: authenticity, relationship satisfaction, sexual authenticity, sexual communication, sexual consent, sexual satisfaction
The Relations Between Identity Developmental Processes, Study Habits, and Academic Performance
Adolescence is a time when young people focus their attention on setting and pursuing long-term goals. Contemporary approaches of identity development focus on three pivotal processes underlying the identity formation process and the maintenance of one’s identity (e.g., core values, etc.). These processes are commitment (commitments to a goal), in-depth exploration (exploration of choices and options), and reconsideration of commitment (feelings of uncertainty about current commitments). The primary purpose of the current study was to examine the relations between identity processes, study habits, and academic performance in 45 female undergraduate students (M age = 21.00). Utilizing a self-report measure, findings suggested a significant positive relation between educational and relational commitment, as well as reconsideration of commitments in the educational domain and reconsideration of commitments in the relational domain. In terms of identity processes and grades, a regression analysis revealed that educational reconsideration of commitments predicted academic performance. Further, for those employing poor study habit skills, educational reconsideration of commitment predicted academic performance. The present study offers insight on the importance of assessing adolescent’s uncertainty of educational and relational commitments, while also highlighting the protective factor of maintaining good study habit strategies. Author Keywords: academic performance, adolescence, educational, identity, relational, study habits
Thinking Ahead
The present thesis entails a qualitative investigation of the unique notion to transition media change from the current paper-based system to the potential use of information technology innovation for communication between health care providers and employers during return to work. Stakeholder perspectives on relevant communication phenomena were gathered from workers, employers, and health care providers with experience in return to work. Methods for analysis involved critical realist grounded theory, as well as the use of a prototype innovation, named the Return to Work Expert App, as a platform for participant evaluation and discourse. The study’s findings provided comprehensive and in-depth understanding of return to work communication, beyond its empirical regularities. The generative mechanisms of common communication problems that were discovered included situated reasoning, media as information (“the medium is the message”), epistemological disjuncture, egoism-altruism-collectivism quandary, and perspective taking. A novel theoretical framework based on ecological psychology was also advanced to offer a coherent and systematic understanding of the situated nature of health care providers’ reasoning and information development. Media change via the Return to Work Expert App was argued to be limited in handling and resolving many of the communication problems that can occur. However, the app had perceptible value and benefits to prospective users that suggested a distinct advantage over current paper-based practices. Opportunities for further development and research exist to address relevant challenges, most notable of all being the need to address the app’s burden of proof. For the interested reader, this thesis advances research and knowledge of provider-employer communication to a state that is truly fitting of the importance acknowledged of it in the field of return to work. Author Keywords: critical realism, ecological psychology, media change, return to work, stakeholder communication, technological acceptance
Thinking High When Feeling Shy
Social anxiety often co-occurs with substance use disorders – various psychological variables, contextual factors, and implicit cognitions may help explain their relationship. This thesis examined whether social anxiety and psychological variables (jointly and independently) helped predict substance use and related problems. It also explored whether social anxiety group membership helped predict implicit cannabis-sedation associations and substance use desirability. A sample of undergraduate student volunteers (N = 65) completed a computer task, questionnaires with anxiety-provoking vignettes, and online questionnaires. Results indicate that fear of negative evaluation and anxiety sensitivity are important predictors of alcohol and cannabis (respectively) use and problems. Social anxiety group was related to increased cannabis desirability in performance contexts. No significant implicit cannabis-sedation associations were identified. Our findings highlight the importance of certain variables in social anxiety and substance use relationships, and considering contextual factors when assessing substance desirability. It also provides preliminary evidence of a novel implicit cannabis-sedation measure. Author Keywords: Coping, Emotion, Implicit Cognition, Social Anxiety, Substance Use
Time Series Algorithms in Machine Learning - A Graph Approach to Multivariate Forecasting
Forecasting future values of time series has long been a field with many and varied applications, from climate and weather forecasting to stock prediction and economic planning to the control of industrial processes. Many of these problems involve not only a single time series but many simultaneous series which may influence each other. This thesis provides methods based on machine learning of handling such problems. We first consider single time series with both single and multiple features. We review the algorithms and unique challenges involved in applying machine learning to time series. Many machine learning algorithms when used for regression are designed to produce a single output value for each timestamp of interest with no measure of confidence; however, evaluating the uncertainty of the predictions is an important component for practical forecasting. We therefore discuss methods of constructing uncertainty estimates in the form of prediction intervals for each prediction. Stability over long time horizons is also a concern for these algorithms as recursion is a common method used to generate predictions over long time intervals. To address this, we present methods of maintaining stability in the forecast even over large time horizons. These methods are applied to an electricity forecasting problem where we demonstrate the effectiveness for support vector machines, neural networks and gradient boosted trees. We next consider spatiotemporal problems, which consist of multiple interlinked time series, each of which may contain multiple features. We represent these problems using graphs, allowing us to learn relationships using graph neural networks. Existing methods of doing this generally make use of separate time and spatial (graph) layers, or simply replace operations in temporal layers with graph operations. We show that these approaches have difficulty learning relationships that contain time lags of several time steps. To address this, we propose a new layer inspired by the long-short term memory (LSTM) recurrent neural network which adds a distinct memory state dedicated to learning graph relationships while keeping the original memory state. This allows the model to consider temporally distant events at other nodes without affecting its ability to model long-term relationships at a single node. We show that this model is capable of learning the long-term patterns that existing models struggle with. We then apply this model to a number of real-world bike-share and traffic datasets where we observe improved performance when compared to other models with similar numbers of parameters. Author Keywords: forecasting, graph neural network, LSTM, machine learning, neural network, time series


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Format: 2023/03/29