A climate change impact assessment was conducted to examine the spread of furunculosis found in the fish species of Ouje-Bougoumou; and subsequently to examine the resulting impacts on the health of the community. A past assessment was performed to assess whether there was a temporal relationship between increased temperatures and past incidences of furunculosis using observed climate data and traditional ecological knowledge (TEK) data. To project future impacts of climate change, climate models, lake models and TEK were used. Findings show that the rise in air mean temperature coincides with the timeline of past incidences of furunculosis. It is predicted that the lake temperatures will remain suitable for the presence of A. salmonicida; thus, it is likely that the disease will persist throughout the twenty-first century. To conclude, climate change is not eliminated as a plausible factor to the onset of furunculosis.

A climate change impact assessment was conducted to examine the spread of furunculosis found in the fish species of Ouje-Bougoumou; and subsequently to examine the resulting impacts on the health of the community. A past assessment was performed to assess whether there was a temporal relationship between increased temperatures and past incidences of furunculosis using observed climate data and traditional ecological knowledge (TEK) data. To project future impacts of climate change, climate models, lake models and TEK were used. Findings show that the rise in air mean temperature coincides with the timeline of past incidences of furunculosis. It is predicted that the lake temperatures will remain suitable for the presence of A. salmonicida; thus, it is likely that the disease will persist throughout the twenty-first century. To conclude, climate change is not eliminated as a plausible factor to the onset of furunculosis.

Why do countries tax the same fuels at widely different rates, even among similarly situated countries in the global political economy? Given the potentially destabilizing effects of climate change, and the political and economic risks associated with a reliance on geographically concentrated, finite fossil fuels, International Organizations and economists of all political stripes have consistently called for increasing tax rates on fossil-based energy. Despite much enthusiasm among policy experts, however, politicians concerned with distributional consequences, economic performance and competitiveness impacts continue to be wary of raising taxes on carbon-based fuels. In this context, this thesis investigates the political economy of tax rates affecting the price of fossil fuels in advanced capitalist democracies. Through an examination of the political limits of government capacity to implement stricter carbon-energy policy, as well as the identification of the correlates of higher carbon-based energy taxes, it throws new light on the conditions under which carbon-energy tax reform becomes politically possible. Based on recent data collected from the OECD, EEA and IEA, I develop an estimate of the relative size of implicit carbon taxes across OECD member countries on six carbon-based fuels and across the household and industrial sectors. I exploit large cross-national differences in these carbon-energy tax rates in order to identify the correlates of, and constraints on, carbon-energy tax reform. Applying multiple regression analysis to both cross-section and time-series cross-sectional (TSCS) data, this thesis leverages considerable empirical evidence to demonstrate how and why electoral systems matter for energy and environmental tax policy outcomes. In particular, I find considerable empirical evidence to support the claim that systems of proportional representation (PR), in addition to the partisan preferences of the electorate, work together to explain differential rates of carbon-energy taxation. By opening up the ideological space to a broader spectrum of “green” parties, I argue that PR systems create a favourable institutional context within which higher rates of carbon-energy taxation become politically possible. After specifying a key causal mechanism within different types of electoral systems – the seat-vote elasticity – I argue further that, voters in disproportional systems actually have more leverage over politicians, and that an increase in environmental voting can have an impact on rates of carbon energy taxation, even in the absence of PR. While the accession to power of green political parties in PR systems is more likely to lead to higher rates of carbon energy taxation, voting for green parties in highly disproportional systems creates incentives for other parties to adopt “green” policies, leading to a similar outcome. In this way, the effect of green votes and green seats will have the opposite effect on policy according to the type of electoral system in use.

Why do countries tax the same fuels at widely different rates, even among similarly situated countries in the global political economy? Given the potentially destabilizing effects of climate change, and the political and economic risks associated with a reliance on geographically concentrated, finite fossil fuels, International Organizations and economists of all political stripes have consistently called for increasing tax rates on fossil-based energy. Despite much enthusiasm among policy experts, however, politicians concerned with distributional consequences, economic performance and competitiveness impacts continue to be wary of raising taxes on carbon-based fuels. In this context, this thesis investigates the political economy of tax rates affecting the price of fossil fuels in advanced capitalist democracies. Through an examination of the political limits of government capacity to implement stricter carbon-energy policy, as well as the identification of the correlates of higher carbon-based energy taxes, it throws new light on the conditions under which carbon-energy tax reform becomes politically possible. Based on recent data collected from the OECD, EEA and IEA, I develop an estimate of the relative size of implicit carbon taxes across OECD member countries on six carbon-based fuels and across the household and industrial sectors. I exploit large cross-national differences in these carbon-energy tax rates in order to identify the correlates of, and constraints on, carbon-energy tax reform. Applying multiple regression analysis to both cross-section and time-series cross-sectional (TSCS) data, this thesis leverages considerable empirical evidence to demonstrate how and why electoral systems matter for energy and environmental tax policy outcomes. In particular, I find considerable empirical evidence to support the claim that systems of proportional representation (PR), in addition to the partisan preferences of the electorate, work together to explain differential rates of carbon-energy taxation. By opening up the ideological space to a broader spectrum of “green” parties, I argue that PR systems create a favourable institutional context within which higher rates of carbon-energy taxation become politically possible. After specifying a key causal mechanism within different types of electoral systems – the seat-vote elasticity – I argue further that, voters in disproportional systems actually have more leverage over politicians, and that an increase in environmental voting can have an impact on rates of carbon energy taxation, even in the absence of PR. While the accession to power of green political parties in PR systems is more likely to lead to higher rates of carbon energy taxation, voting for green parties in highly disproportional systems creates incentives for other parties to adopt “green” policies, leading to a similar outcome. In this way, the effect of green votes and green seats will have the opposite effect on policy according to the type of electoral system in use.

Snow Albedo Feedback (SAF) in response to climate change is a process that can amplify the climate warming response to increases in anthropogenic atmospheric CO2 concentrations from the 20th to the 21st Century. Warmer surface air temperature may induce snowmelt and expose darker underlying surfaces which absorb more incoming solar radiation and further increase the ambient temperature. Springtime SAF in the fully Coupled Model Intercomparison Project Phase 3 (CMIP3) models is associated with summertime circulation. However, no clear physical mechanism explaining this link has been found. Furthermore, there is a large intermodel spread in the projection of SAF among the CMIP3 models which is primarily controlled through the parameterization of snow albedo in each model. Limited work was conducted on assessing the response of SAF to that of an isolated controlling parameter such as snow albedo. Here, the uncoupled Geophysical Fluid Dynamics Laboratory Atmospheric Model 2.1 (AM2.1) was used to diagnose SAF in the CMIP3 models by conducting a set of sensitivity experiments with perturbed snow albedo. This was performed to remove indirect external climate factors that may influence SAF and to use the simplified uncoupled model to understand the behaviours exhibited by the complex coupled models. Snow cover extent (SNC) and snow metamorphosis as a function of temperature (TEM) that influences SAF, as well as the knock-on effects of SAF on soil moisture, snow mass, snow melt and circulation were analyzed using both the CMIP3 and AM2.1 models. In addition, it was hypothesized that summertime Land Sea Contrast response to climate change (dLSC) is a physical mechanism that induces summertime circulation patterns in relation to springtime SAF. It is found that the AM2.1 can similarly reproduce SNC and TEM as well as the spread in SAF exhibited in the CMIP3 models. However, no robust link can be determined between SAF and its knock-on effects. Furthermore, the correlation between SAF and dLSC is not significant and thus dLSC is not a physical mechanism that influences the summertime circulation patterns in response to climate change. It is the expectation that these research results can provide an in-depth understanding of the role of SAF among fully coupled GCMs through tests performed by the uncoupled simulation.

<p> The overall structure of this research is an autoethnographic journey from the depths of deep space into the underworld of the myth of Orpheus and Eurydice while considering the depth psychological implications of co-mingling electronic computer-mediated virtual realities and our human-sensed biological reality. In so doing, the effect of screens, the psychological tempo and consumption of imagery, is considered from a phenomenological viewpoint. Proliferating computational devices, with their emphasis upon increasing speed and acceleration, are viewed as connectors as well as psychic retreats. The research examines the contrasts between the electronic virtual construct and our vital lived surround of oxygen and water while considering the legacy and effects of these machines upon our perception of an increasingly degraded environmental circumstance. The research suggests that through an <i>intentional</i> physical and psychological slowing it is possible to reconnect with the elemental rarities of earth and through that sensitivity there opens a possible pathway of re-enchantment and environmental stewardship of the earth as a life. The research presents an alternative scenario of an electronically blinkered and tethered cyborgized people burrowing further into a virtual world until the earth, utilizing its nuanced language of wind, heat, and storm, demands that they look up from their machines and pay attention to the anomalies in their lived surround. The research indicates that the choice is clear but far from sure.</p><p> Key words: Phenomenology, auto-ethnographic, myth, computers, cyborg, psychological acceleration, eco-psych, environment, slowed perception, psychic retreat, stewardship, re-enchantment.</p>

High-resolution regional climate simulations of the Karakoram, Himalaya have been performed for investigation into the atmospheric dynamics in this region, and their role in the Karakorams snowfall accumulation and glacial evolution. It has been seen through a combination of field measurements and satellite observations that a large number of glaciers in this region are static or advancing whilst other glaciers in the central and eastern Himalaya, as well as around the world, are nearly all retreating. By performing time slice calculations for the Karakoram region through the 21st century, it is found that, despite region wide simulated temperature changes, the highly elevated regions of the Karakoram mountain range experience positive snow mass balance through the 21st century. This result arises from a strong positive correlation between snow mass balance and simulated increases in regional precipitation, which outweighs the negative correlation between snow mass balance and simulated increases in temperature. / None

Adaptation is now recognized as an important aspect of responses to climate change. Rural communities in the prairie provinces of Canada are considered to be sensitive to the impacts of climate change due to socio-economic and geographical factors. This study examines the ways in which governance institutions shape the ability of two rural communities in Alberta to adapt. 32 semi-structured interviews were done with decision-makers in the communities of High Level and Canmore, and with provincial-level governance actors. A vast array of secondary documents was also examined. The comparison of these two case studies shows that institutional capacity in Canmore supports proactive adaptation. In contrast, several features of governance institutions in High Level detract from adaptive capacity. Provincial governance institutions were found to contribute both positively and negatively to the capacity of rural communities to adapt to climate change. / Rural Sociology

Coastal storm surges from hurricanes are one of the most costly natural disasters in the United States (US). Current research arguably indicates a mean sea-level (MSL) increase due to global warming, as well as an increase in damages caused by hurricanes under climate change. The objectives of this research are: 1) to develop a framework that integrates Geographical Information Systems (GIS) with hurricane storm surge numerical models; 2) to quantify the uncertainty derived from coastal land cover spatial data on hurricane storm surge; and 3) to investigate the potential impacts of SLR changes on land cover to hurricane storm surge and coastal damages. Numerical analysis is an important tool for predicting and simulating storm surges for coastal structure design, planning and disaster mitigation. Here we proposed a framework to integrate Geographical Information Systems (GIS) with computational fluid dynamic (CFD) models used to simulate hurricane storm surge. The geodatamodel "Arc StormSurge" is designed to store geospatial information for hurricane storm surge modeling and GIS tools are designed to integrate the high performance computing (HPC) input and output files to GIS; pre-process geospatial data and post-process model results, thereby, streamlining the delineation of coastal flood maps. Georeferenced information of land cover is used to define the frictional drag at the sea bottom and to infer modifications to the momentum transmitted to the water column by the winds. We investigated uncertainties in the surge response arising from land cover for Texas central bays considering several land cover datasets. The uncertainties were quantified based on the mean maximum surge response and inundated area extent. Considering projected SLR, wetland composition and spatial distribution are also expected to change with coastal environmental conditions. Our results showed that wetland degradation by SLR increased the mean maximum surge for coastal bays. Direct damage to buildings and businesses was also significantly increased by the loss of wetlands due to SLR. Here, we demonstrated the importance of considering the effects of land cover and SLR to hurricane storm surge simulations for coastal structure design, floodplain delineation or coastal planning.

This dissertation investigates: (1) the climate change effects on the mean and higher order moments of crop yield distributions; (2) the effects of irrigation with and without its interactive terms with climate variables; (3) the climate effects on crop mix and climate change adaptation. The first essay explores how the climate change impacts the crop yield distribution. Using the flexible moment based approach, this study infers that external climate factors influence not only mean crop yield and variability, but also its higher order moments, skewness and kurtosis. The climate effects on each moment vary by crops. The second essay examines the irrigation effects on the mean crop yield. While the irrigation effects estimated from the model with irrigation dummy are constant regardless of climate conditions, the irrigation effects estimated from the model with irrigation dummy and interactive variables between irrigation and climate are affected by external climate factors. This study shows that as temperature increases, the irrigation effects are decreased and irrigation reduces damages from extreme temperature conditions. Precipitation and PDSI effects are also diminished under irrigation. The third essay explores the effects of climate on crop producers' choice. Our findings point out that the climate factors have significant impacts on crop choice and future climate change will alter the crop mix. Under the projected climate change of increasing temperature and precipitation, wheat and soybeans cropland will be switched to upland cotton. The major producing locations of upland cotton, rice, and soybeans will be shifted to the north. However, most of corn will be still cultivated in the Corn Belt and changes in acreage planted will not be significant.