Graduate Theses & Dissertations

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Gene flow directionality and functional genetic variation among Ontario, Canada Ursus americanus populations.
Rapidly changing landscapes introduce challenges for wildlife management, particularly for large mammal populations with long generation times and extensive spatial requirements. Understanding how these populations interact with heterogeneous landscapes aids in predicting responses to further environmental change. In this thesis, I profile American black bears using microsatellite loci and pooled whole-genome sequencing. These data characterize gene flow directionality and functional genetic variation to understand patterns of dispersal and local adaptation; processes key to understanding vulnerability to environmental change. I show dispersal is positively density-dependent, male biased, and influenced by food productivity gradients suggestive of source-sink dynamics. Genomic comparison of bears inhabiting different climate and forest zones identified variation in genes related to the cellular response to starvation and cold. My thesis demonstrates source-sink dynamics and local adaption in black bears. Population management must balance dispersal to sustain declining populations against the risk of maladaptation under future scenarios of environmental change. Author Keywords: American black bear, Dispersal, Functional Genetic Variation, Gene Flow Directionality, Genomics, Local Adaptation
Interseeded Cover Crops in Ontario Grain Corn Systems
Ontario grain corn is highly valuable, accounting for 60% of Canada’s total corn output. Grain producers are increasingly interested in including cover crops (CCs) in their cropping systems, but they have concerns regarding successful CC establishment and potential adverse competitive effects on corn yield and nutrient status. One option to improve the success of CC establishment is the interseeding in corn at the V4 -V6 stages. Interseeding improves the chances of good CC establishment, with potential benefits for soil health, weed control, and plant productivity. This thesis research was conducted to evaluate the short-term effectiveness of interseeding annual ryegrass (AR), red clover (RC), and their mixture (MIX) in grain corn at three locations in central and southwestern Ontario. Cover crop and corn yields, and their nitrogen (N) uptake, residual soil N, soil biological parameters, weed biomass, and residue decomposition rates were measured. CC biomass was highly variable (range: 0 - 1.6 Mg ha-1), influenced by climatic conditions, location, and CC type. Total carbon (C) and N contributions from CCs were similarly influenced by site-year and CC type. Regression analyses showed significant influence of corn biomass on CC establishment. Red clover had a significantly lower C/N ratio (11.8) than AR (18.2) and MIX (15.6). Strikingly, the amount of CC biomass accumulated in early spring reduced weeds by 50%. Moreover, CCs did not reduce corn grain or stover yield, nor N uptake, and soil mineral N in either fall or spring. Soil metabolic activity measured by BIOLOG Ecoplates was significantly greater in plots with AR than RC, MIX or NOCC. Soil biological parameters showed no CC effect. Results of residue decomposition i.e., C and N mineralization showed negligible CC residue effects on corn stover decomposition or N immobilization. The findings from this research suggest the need for assessing a more diverse range of CCs over longer durations to establish more specific CC niches for improving soil health in Ontario corn systems. Author Keywords: CLPP, cover crops, grain corn, nitrogen uptake, residue decomposition, soil health
Abundance and Distribution of Microplastics in Lake Scugog Catchment, Ontario
Plastic pollution is a growing concern, owing to its durability, ubiquity, and potential health impacts. The overall objective of this study was to assess the abundance and distribution of microplastics within Lake Scugog catchment, Ontario. This was fulfilled through two tasks (i) the development of a microplastic particle budget for the lake catchment, and (ii) the determination of the dry deposition of atmospheric microplastics in Port Perry, Ontario. The total input of microplastics into Lake Scugog (atmospheric deposition and stream inflow) was 2491 x106 mp/day, while the output (lake outflow and sedimentation) was 1761 x106 mp/day, suggesting that 29% of inputs were retained in the lake. The dry deposition of microplastics in Port Perry was 1257 mp/m2/day, which was high when compared to bulk deposition (37 mp/m2/day) in the same area. By quantifying the major pathways of microplastics better management techniques can be implemented. Author Keywords: Catchment, Dry Deposition, Microplastics, Ontario, Particle Budget, Plastic pollution
Nutrigenomics of Daphnia
Organismal nutrition lies at the interface between biotic and abiotic factors in an ecosystem, dictating the transfer of energy and nutrients across trophic levels. Our ability to detect nutritional limitation in consumers is reliant on a priori knowledge of dietary history due to our inability to differentiate nutrient stress based on body-wide responses. Molecular physiological responses are increasingly being used to measure physiological stress with high levels of specificity due to the specific modes of action ecological stressors have on organismal molecular physiology. Because animal consumers respond to varying nutrient supplies by up- and down-regulating nutrient-specific metabolic pathways, we can quantify nutritional status by quantifying the expression of those pathways. Here I present an investigation into the use of transcriptomics to detect nutritional stress in the keystone aquatic herbivore, Daphnia pulex, I use RNAseq and quantitative PCR (qPCR) identify nutritional indicator genes. I found that nutritional status could be determined with 100% accuracy with just ten genes. Additionally, the functional annotation of those genes uncovered previously unidentified responses to dietary stress. Further testing and validation of the selected indicator genes is required however these findings have the potential to revolutionize our ability to measure and monitor consumer nutritional stress. Author Keywords: Biomarkers, Daphnia, Gene expression, Nutrigenomics, Nutritional ecology, RNAseq
Islands, ungulates, and ice
Central to wildlife conservation and management is the need for refined, spatially explicit knowledge on the diversity and distribution of species and the factors that drive those patterns. This is especially vital as anthropogenic disturbance threatens rapid large-scale change, even in the most remote areas of the planet. My dissertation examines theinfluence of land- and sea-scape heterogeneity on patterns of genetic differentiation, diversity, and broad-scale distributions of island-dwelling ungulates in the Arctic Archipelago. First, I investigated genetic differentiation among island populations of Peary caribou (Rangifer tarandus pearyi) in contrast to continental migratory caribou (Rangifer tarandus) and evaluated whether genetic exchange among Peary caribou island populations was limited by the availability of sea ice – both now and in the future. Differentiation among both groups was best explained by geodesic distance, revealing sea ice as an effective platform for Peary caribou movement and gene flow. With future climate warming, substantial reductions in sea ice extent were forecast which significantly increased resistance to caribou movement, particularly in summer and fall. Second, I assessed genetic population structure and diversity of northern caribou and deciphered how Island Biogeography Theory (IBT) and Central Marginal Hypothesis (CMH) could act in an archipelago where isolation is highly variable due to the dynamics of sea ice. Genetic differentiation among continental and island populations was low to moderate. In keeping with IBT and CMH, island-dwelling caribou displayed lower genetic diversity compared to mainland and mainland migratory herds; the size of islands (or population range) positively influenced genetic diversity, while distance-to-mainland and fall ice-free coastlines negatively influenced genetic diversity. Hierarchical structure analysis revealed multiple units of caribou diversity below the species level. Third, I shifted my focus to the terrestrial landscape and explored the elements governing species-environment relationships. Using species distribution models, I tested the response of caribou and muskoxen to abiotic versus abiotic + biotic predictors, and included distance to heterospecifics as a proxy for competitive interactions. Models that included biotic predictors outperformed models with abiotic predictors alone, and biotic predictors were most important when identifying habitat suitability for both ungulates. Further, areas of high habitat suitability for caribou and muskoxen were largely disjunct, limited in extent, and mainly outside protected areas. Finally, I modelled functional connectivity for two genetically and spatially disjunct groups of island-dwelling caribou. For High Arctic caribou, natural and anthropogenic features impeded gene flow (isolation-by-resistance); for Baffin Island caribou we found panmixia with absence of isolation-by-distance. Overall, my dissertation demonstrates the varying influences of contemporary land- and sea-scape heterogeneity on the distribution, diversity and differentiation of Arctic ungulates and it highlights the vulnerability of island-dwelling caribou to a rapidly changing Arctic environment. Author Keywords: Circuitscape, connectivity, Island Biogeography, landscape genetics, population structure, species distribution models
Determinants of Breeding Bird Diversity in Ontario's Far North
190 species of birds are known to breed in Ontario’s far north making the region an important nursery for boreal birds. Digital point count data were collected using two different autonomous recording units (ARUs): one model with two standard microphones to detect birds and anurans, and one model with one standard microphone and one ultrasonic microphone for detecting bats. ARUs were deployed either in short or long-term plots, which were four to six days or approximately 10 weeks, respectively. I assessed differences in breeding bird richness detections between ARU and plot types. I also tested the relative impact of the habitat heterogeneity and species-energy hypotheses in relation to breeding birds and created predictive maps of breeding bird diversity for Ontario’s far north. I found no difference in species richness estimates between the two ARU models but found that long-term plots detected about 7 more bird species and 1.5 more anuran species than short-term plots. I found support for both the species-energy and habitat heterogeneity hypotheses, but support for each hypothesis varied with the resolution of the analysis. Species-energy models were better predictors of breeding bird diversity at coarser resolutions and habitat heterogeneity models were better predictors at finer resolutions. Breeding bird diversity was highest in the Ontario Shield Ecozone compared with the Hudson Bay Lowlands Ecozone, but concentrated areas of higher diversity found in the Lowlands were associated with large rivers and the associated coastlines. Author Keywords: boreal birds, breeding birds, habitat heterogeneity, Hill diversity, Ontario, species-energy hypothesis
Forest Roost Use by Little Brown Bats (Myotis lucifugus) in Ontario
Roosts offer bats protection from predators, shelter from external environmental conditions, and a space where sociality, mating, and the rearing of young can occur. However, knowledge gaps still remain for many forest roosting species, such as the little brown bat (Myotis lucifugus) surrounding what roosts are selected, and what variables are influential at differing scales of selection. As a species-at-risk, identifying and predicting roost habitat selection may aid conservation and management. I identified forest roosts in a previously unexamined area of this species’ range using radio-telemetry, and measured tree-scale characteristics of located roosts. I then used a logistic model selection process with stand-scale variables to predict roost presence across forest stands. Height of trees in a given stand was the best predictor of roost presence - which may be linked to solar exposure and other thermal benefits. I then examined roost-level variables effecting the abundance of roosting bats in an artificial roosting environment (bat boxes). I found that temperature and social effects were both significant predictors of bat abundance, with warmer minimum temperatures in the box having a positive effect. These results suggest maternal bats may select roosts with higher minimum temperatures, likely due to the energetic benefits that may be gained over the course of reproduction. Author Keywords: forest roost, habitat selection, little brown bat, Myotic lucifugus, roost choice, stand selection
Relationships between bird densities and distance to mines in Northern Canada
Increased mining activity in the Canadian Arctic has resulted in significant changes to the environment that may be influencing some tundra-nesting bird populations. In this thesis I examine the direct and indirect effects of mining on birds nesting in the Canadian Arctic. I first perform a literature review of the effects that mining in the Arctic has on northern environments and wildlife and outline several ways in which mines affect Arctic-breeding birds. By using the Program for Regional and International Shorebird Monitoring (PRISM) Arctic plot-based bird survey data from across the Canadian Arctic, collected from 1995 to 2018, I identify the effects of distance to mining operations on the occupancy patterns of Arctic-breeding bird species. Six species’ densities were significantly impacted by mine proximity (Canada/Cackling Goose, Long-tailed Duck, Long-tailed Jaeger, Pectoral Sandpiper, Savannah Sparrow, and Rock Ptarmigan) across five major mine sites. Each species has its own unique relationship to distance from mining activity. Author Keywords: Bird populations, Canadian Arctic, Mining, Mining activities, PRISM, Tundra-nesting birds
Electrochemical versus Chemical Oxidation of Bulky Phenols
Phenolic compounds are used in industry, such as agriculture and biotechnology, and inevitably end up in our environment. These compounds may serve as a phenolic precursor to produce raw materials for a wide range of applications. Chemical oxidation has been the common synthetic pathway to oxidize phenols and related compounds. However, traditional chemical approaches suffer from use of harsh chemicals, waste generation, and lack of reaction selectivity. Electrochemical synthesis has emerged as an alternative method to mitigate common challenges associated with organic synthesis. Herein, electrochemical oxidation of 2,6-diphenylphenol (DPP) and 2,2-dihydroxybiphenol (DHBP) was carried out and compared to traditional chemical oxidation. Contrasted with chemical oxidation, cyclic voltammetry of DPP resulted in a range of products based on the specific potential ranges used, whereas chemical oxidation of DHBP yield a dark-coloured polymeric product. The electrooxidation and chemical oxidation of DPP and DHBP resulted in a solution colour change, indicative of the formation of new, but different products monitored by UV-vis, and characterized by nuclear magnetic spectroscopy (NMR), X-ray single crystal diffraction, IR spectroscopy, transmission electron microscopy (TEM), and gas chromatography-mass spectrometry (GC-MS). The data indicate that the synthetic outcomes are dependent on the synthetic methodology employed, and that electrooxidation and chemical oxidation can form products unique to the pathway utilized. Author Keywords: chemoselectivity, electrochemistry, phenols, radical, synthesis
Genetic Networks to Investigate Structure and Connectivity of Caribou at Multiple Spatial and Temporal Scales
Understanding genetic structure, connectivity, and movement of a species iscritical to management and conservation. Genetic network approaches allow the analysis of genetic information with flexibility and few prior assumptions. In chapter one, I tested the ability of individual-based genetic networks to detect fine-scale structure and connectivity in relation to sampling efforts. My findings revealed individual-based genetic networks can detect fine-scale genetic structure of caribou when using 15 highly variable microsatellite loci. Sampling levels less than 50% of the estimated population size resulted in highly disconnected networks which did not allow for accurate structure analysis; however community detection algorithms were robust in grouping closely related individuals despite low sampling. In chapter two, I used individual-based and population-based genetic networks to investigate structure, connectivity, and movement of caribou across a large study area in Western Canada. A community detection algorithm partitioned the population-based genetic network at multiple spatial scales which uncovered patterns of hierarchical genetic structure and highlighted patterns of gene flow. The hierarchical population structure results aligned with the known distribution of different caribou Designatable Units (DUs) and additional structure was found within each DU. Furthermore, individual-based networks that were constructed with a subset of samples from the Mackenzie Mountains region of the Northwest Territories revealed patterns of long-distance movement and high connectivity across the region. Author Keywords: Biological Conservation, Caribou, Community Detection, Connectivity, Genetic Networks, Structure
Effects of Agricultural Land Use Change on Nitrogen and Phosphorus in North Shore Lake Ontario Tributaries
Row crop agriculture and associated land use practices including tile drainage and conservation tillage have been cited as a probable cause of re-emerging eutrophication in the lower Great Lakes. In this thesis, I sought to quantify and evaluate the effect of agricultural land cover and land use changes on total phosphorus (TP) and nitrate-nitrogen (NO3-N) concentrations and export in north shore Lake Ontario tributaries. This included (a) a long-term data analyses at 12 large watersheds (47 to 278 km²) using historical land cover and water quality data (1971-2010), and (b) a space-for-time study examining 12 small sub-catchments (< 8 km²) with majority (> 50%) row crop, pasture, or forest cover. Concentrations of TP were greatest in urbanized watersheds and declined particularly during the first decades of the study period, while NO3-N concentrations were greatest and steadily increased in agricultural catchments with increasing row crop cover. The space-for-time approach revealed that TP concentrations were similar across agricultural land uses and that export was most dependent on runoff. Meanwhile, NO3-N concentrations and export were greatest in row crop catchments and were positively related to row crop area. These results suggest that increases in row crop cover and associated agricultural practices including increased nutrient amendments and tile drainage may be responsible for increased NO3-N concentrations and export in northern Lake Ontario tributaries. Author Keywords: agriculture, Lake Ontario, nitrogen, phosphorus, streams, Water quality
Larval lake whitefish (Coregonus clupeaformis) recruitment dynamics in Lake Huron
Lake whitefish (Coregonus clupeaformis) recruitment has declined substantially in several regions of the Laurentian Great Lakes since the establishment of non-native dreissenid mussels in the early 1990’s. In Lake Huron, the reasons for the observed recruitment declines are currently unknown and there is limited knowledge about larval life stage. In our study, we determined whether larval hatching and growth rates have changed before and after dreissenid mussel invasion, and the role of several key environmental variables in influencing annual variation in larval densities. Larval fish were collected in the Fishing Islands spawning shoal during two time periods: a historical period (1976-1986) and a contemporary period (2017-2019). Larval densities and growth were lower in recent years, suggesting that recruitment is being limited at the larval life stage and that reduced food availability may be further limiting the growth during the larval stage. Annual variation of larval densities were influenced by spawning stock biomass, water levels, and dreissenid mussel presence, with higher water levels and the presence of dreissenid mussels being associated with higher larval densities. The direction of the effect of spawning stock biomass was either negative or positive depending on the model. We also found that larval density was a significant predictor of age 4 recruitment, indicating that year-class strength may be partly established at the larval life stage. Author Keywords: Coregonus clupeaformis, Great Lakes, Lake Huron, Lake whitefish, Larval, Recruitment

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Format: 2024/05/06