Intention for this study is driven by finding patterns that may be shown to reveal primary factors of influence for the abundance and diversity of wetland birds. These correlations may be used to promote wetland management strategies for the benefit of waterbird species, and help illuminate current local wetland conditions for waterbirds, respectively. The idea is to help enliven individuals to become a more conscious steward and manipulator of our environment through incorporating structural and biological components into wetland development and management strategies, and broadly speaking, urban development practices.

The Texas High Plains produces the most substantial amount of cotton in Texas. The region is a semi-arid area with limited precipitation, and it is, therefore, susceptible to climate change. Cotton production in the Texas High Plains is mostly dependent on irrigation to increase yield. The overall goal of this research was to study the interrelationships between climate change and cotton yield using correlation analysis and also to study how climate has changed in the region using trend analysis. A three-decade data (1987-2017) was analyzed to establish the relationship between climate change and cotton and also to determine how climate has changed in the area over the last 30 years. The research used precipitation and temperature data to assess climate change.The results of this research showed that annual mean temperature has lesser impacts on cotton yield, and the correlation between annual precipitation and cotton yield is insignificant. It also found out that high rates of temperature at the boll opening stage of cotton growth results in decreased cotton yield and that at the boll development and boll opening stages, precipitation is needed. Again, the research indicated that, on average, there had been a significant increase in temperature, but precipitation trends …

The Pueblo III period marks a critical shift in settlement location of Ancestral Puebloan people within the Mesa Verde region. Community centers during the Pueblo I and Pueblo II periods were built on mesa tops, whereas canyon-rims and alcoves became the preferred settlement location during the Pueblo III period. Beginning in the Pueblo I period, community centers consisted of linear roomblock villages. By the late Pueblo II period great house community centers influenced by the Chaco culture system spanned the Mesa Verde region. The Pueblo III period hallmarks the transition to canyon-rim villages and cliff dwellings. The location of these Pueblo III centers is thought to be related to the need for a defensive position on the landscape, and access to water sources. This shift in settlement locations undoubtedly led to change in the access to resources, such as water, arable farmland, and wild food plants and game. This study aims to evaluate whether the change in community center location impacted the accessibility to arable farmland and water sources immediately available to Ancestral Puebloan people throughout time. Specifically, several variables related to farming potential and hydrologic potential, including soil type, soil moisture, elevation, cropland suitability, distance to water sources, drainage …

The Women's Revolution in 2015 has led to a drastic shift in the ways women are portrayed in professional wrestling. The Women's Revolution came as a result of the social unrest over the lack of time women were receiving on the televised shows. Where women's storylines had centered on their sexuality, they are now presented as equal to their male counterparts after the Women's Revolution. Through an exploration of concepts in globalization, commodification, and socially produced spaces, this research seeks to understand and contextualize the Women's Revolution, the degree to which the portrayed women's equality has been achieved, and the resulting impacts of the female superstars overall. I argue that that this "equality" has been achieved through inscribing the traditionally masculine qualities of wrestling to women, has resulted in an unequal distribution of opportunities to particular female superstars rather than equality for all women on the shows, and that phallocentric objectification of the female superstars still occurs in certain aspects of professional wrestling.

Neighborhoods are organic entities that are in a state of constant change and are driven by the specific context of the problem being investigated. The subsequent lack of consensus on a universal geographic definition for what constitutes a neighborhood can lead to biased interpretations of relationships between human activities and place. Further, while existing geographical information system software allows users to combine a range of geographic objects to generate regional units of analyses, their design does not explicitly assess how changing patterns, such as populations, impact the data expressed within them. This research develops an exploratory geographical information system framework that allows users to dynamically delineate neighborhoods based on user-specified characteristics. These include socioeconomic and similar measurements of neighborhood classification from information obtained from secondary data sources, including parcel data, land use/land cover information, and attribute data provided by the United States Postal Service. The proposed methodology creates custom geographies from readily available tract data obtained from various federal and state data repositories to produce indices. By allowing the user to dynamically weigh the combinations of variables used to define their neighborhood, this thesis introduces a solution to a common analytical problem in the discipline.

Black carbon (BC), a stable form of organic carbon (OC), is a byproduct of the incomplete combustion of biomass, biofuels, and fossil fuel. The main objectives of this research are to examine the spatial distribution of OC and BC in urban soil and determine the influence of tree canopy cover and landscape maintenance on soil carbon accumulation. Soil sampling was conducted at 29 sites throughout the City of Denton, Texas, in May 2019. Samples were collected from underneath post oak canopies and in adjacent open areas and were analyzed for total carbon (TC), total organic carbon (TOC), total N (TN), C:N ratio, and BC. Although maintenance levels had no significant effect, TOC was greater underneath trees (5.47%, 5.30 kg/m2) than lawns (3.58%, 4.84 kg/m2) at the surface 0-10 cm. Total nitrogen concentration was also greater underneath trees (0.43%) than lawns (0.31%) at the surface 0-10 cm. Preliminary results for BC were closely correlated to TOC. The lack of difference in C:N ratio between cover types indicates that leaf litter quality may not be the primary driving factor in soil C and N accumulation. Instead, differences in soil properties may be best explained by manual C inputs and greater atmospheric deposition …

Low-cost sensors have the potential to create dense air monitoring networks that help enhance our understanding of pollution exposure and variability at the individual and neighborhood-level; however, sensors can be easily influenced by environmental conditions, resulting in performance inconsistencies across monitoring settings. During summer 2020, 20 low-cost particulate sensors were deployed with a reference PM2.5 monitor in Denton, Texas in preparation for calibration. However, from mid to late-summer, dust transported by the Saharan Air Layer moved through the North Texas region periodically, influencing the typical monitoring pattern exhibited between low-cost sensors and reference instruments. Traditional modeling strategies were adapted to develop a new approach to calibrating low-cost particulate sensors. In this study, data collected by sensors was split according to a novel dust filter into dust and non-dust subsets prior to modeling. This approach was compared with building a single model from the data, as is typically done in other studies. Random forest and multiple linear regression algorithms were used to train models for both strategies. The best performing split-model strategy, the multiple linear regression models split according to dust and non-dust subsets (combined R2 = 0.65), outperformed the best performing single-model strategy, a random forest model (R2 = 0.49). …

This thesis demonstrates a queer perspective stemming from a qualitative analysis of data gathered in interviews with LGBTQ+ people to analyze a transforming ethos of gayborhoods and queer desires. In particular, the research focuses on the interactive relationship between self-identified lesbian, gay, bisexual, transgender, and queer (LGBTQ+) participants; the cyberspace(s) of LGBTQ+ mobile-dating applications (apps); and tangible urban places. The topic of gayborhood demise and whether such places are worth saving has been debated by scholars and journalists for the last decade. The demise of gayborhoods is often thought to be a symptom of neoliberal urban processes such as gentrification within the context of the post-gay era and broader societal acceptance of homosexuality. This means the question of "if the gayborhood is worth saving" is inherently imbedded in an assumption that homosexuality is not viewed or treated as different or lesser than heterosexuality. In this imagined post-gay era, gayborhoods are declining because the dangers posed to the LGBTQ+ population are purported to no longer exist, so there is no longer a need for designated queer and/or safe places. This research destabilizes the assumptions embedded within the conception of the post-gay era by asking whether the gayborhood meets the needs and …

Mall after mall was built in American cities, exhaustively emulated by developers often working in concert with civic governments. In service of capital, neoliberal urban governance engages in the risky subsidization of spatio-spectacle production, working together with private business entities to bolster tax revenue and aid in private capital accumulation. The extensive replication of malls in close geographic proximity to one another across the American landscape, erected through the neoliberal partnerships of civic governments and private business interests, has greatly contributed to mall decline and mall death. There is now, however, a new spatio-spectacle that has arisen to take the place of the "great American shopping mall"—the luxury mixed-use development. These luxury mixed-use projects have been adopted as a new trend within urban development following the reality of sweeping mall decline and are proliferating across the (sub)urban landscape. Luxury mixed-use developments, I argue, are merely a continuation of late capitalism's problematic spectacle fetish. Moreover, this process is revealed to be inextricably entangled with gentrification, driven by cities' neoliberal desires to become/maintain status as global, "world-class" cities, performed through the spatialized ideology of neoliberal multiculturalism.

The Dallas-Forth Worth Metroplex (DFW) serves as a diverse resettlement location for globally displaced refugees. While research examines how the nation impacts refugee resettlement, studies that examine the role of the city and community in placemaking are still lacking. In city resettlement investigations, research often focuses broadly on advocacy and political movements rather than the impacts of local-level structures and policies. In this paper, I develop an evaluation model using Jenny Phillimore's categories for successful refugee resettlement that examines how structural barriers, community interactions, and resource accessibility affect space and place for refugee populations. Through an ethnography of Chin and Rohingya refugee communities in DFW, I explore the differences between community-settled and state-settled refugee groups and the idea of an integrated resettlement program. Additionally, I argue that refugees who choose their settlement location in the United States are empowered and thus have a stronger connection to their host community than state-settled refugees. For example, in interviews, the Chin emphasized their ownership of Lewisville and feelings of home, while the Rohingya expressed feelings of placelessness and dispossession in Dallas. As governments push towards an entirely privatized system of refugee resettlement, this research argues for an integrated method that draws upon federal …

Texas is the leading producer of renewable energy in the U.S, and Dallas-Fort Worth (DFW) is the largest metropolitan area in the state. Texas has a deregulated energy market, with three types of providers: privatized, public-owned, and co-operatives. Privatized providers compete in the deregulated market, and consumers choose between hundreds of electricity retailers. Public-owned providers are owned by the municipality, and electricity consumers that live within the city limits must use the municipal provider. Electric co-operatives operate similarly where customers within the region must use the co-operative, but instead of being owned by the city, co-ops are owned by the members (customers). To date, the availability, cost, accessibility, and outreach of renewable electricity among these provider types remains unclear. For this reason, my research examines the renewable energy market in DFW by asking: (1) Who has access to renewable energy and how do they understand it? (2) How do electricity retailers distribute and make renewable energy available? and (3) If consumers can choose their provider, why do they select certain electricity plans over others? My findings suggest that while many consumers want or are open to using renewable energy, uncertainties surrounding how to find or choose a provider, price, and …

Increasing PM2.5 (particulate matter smaller than 2.5 micrometers) poses a significant health risk to people. Understanding variables critical to PM2.5 spatial and temporal variation is a first step towards protecting vulnerable populations from exposure. Previous studies investigate variables responsible for PM2.5 variation but have a limited temporal span. Moreover, although land-use classes are often taken into account, the vertical environment's influence (e.g., buildings, trees) on PM2.5 concentrations is often ignored and on-road circle buffers are used. To understand variables most critical to PM2.5 concentration variation, an air pollution sensor and GPS unit were affixed to a bicycle to sample for variables over three seasons (spring, summer, fall). Samples were taken on a route during the weekdays at four targeted hours (7AM, 11AM, 3PM, and 7PM) and joined with meteorological data. 3D morphology was assessed using LiDAR data and novel wind-based buffers. Wind speed only, wind direction only, and wind speed and direction buffers were computed and compared for their performance at capturing micro-scale urban morphological variables. Zonal statistics were used to compute morphological indicators under different wind assumptions in seasonal ordinary least squares regression models. A comprehensive wind and buffer performance analysis compares statistical significance for spatial and temporal variation …