This ethnohistorical work investigates plaçage through the case of Eulalie de Mandeville, a free woman of color and both the daughter of Pierre de Marigny de Mandeville, one of the largest land owners in New Orleans, and the sister of Bernard Marigny, land owner and founder of the Faubourg Marigny, a historic neighborhood in New Orleans. Eulalie's connection to the de Marigny de Mandeville family led to gifts of money and real estate from Pierre, Bernard, and her grandmother, Madame de Mandeville. She used these gifts to not only secure financing for a successful retail business, but also to finance her plaçage partner's loan brokerage business and to become one of the wealthiest women in New Orleans. Eulalie's case helps create a context for the free woman of color that challenges the images presented in much of the literature to date, bringing her down from the heights of romanticism into the realm of reality. This is her story.

This thesis examines illegal gambling in New Orleans and surrounding parishes in the 1920s. It will focus on a series of raids mounted by the Louisiana National Guard to end illegal gambling in both St. Bernard and Jefferson Parishes in August and November of 1928 and again in February of 1929. Corrupt leadership and public toleration allowed gambling houses in both St. Bernard and Jefferson parishes to operate openly for nearly an entire decade. Pressure from economic, religious and civic organizations within the city of New Orleans forced newly elected Governor Huey P. Long to take swift action in the fight to end gambling in Jefferson and St. Bernard Parishes.

Chirp-Slope Keying (CSK) is a new and innovative digital modulation scheme for underwater data transmission. The underwater environment brings up several challenges to the manufacturing and operation of communication systems. This thesis shows through analysis and simulations the effectiveness of Chirp-Slope Keying (CSK) in providing a satisfying performance in underwater communication. The experiment consists of modulating a chirp slope by binary numbers (representing our data). '0' is represented by a linear- down chirp and '1' is represented by a linear-up chirp. The received data is first processed by a correlator receiver. Then, the detection of either binary symbol is obtained by the comparison to a threshold. Simulation results for numerous signal-to-noise ratios show that CSK provides satisfying performance for underwater data transmission. The Mississippi gulf coast shallow water Data collected from the National Oceanic and Atmospheric Administration (NOAA), (see appendix), allow us to accurately generate a laboratory model for the channel of interest.

The Melanoplus scudderi species group, when erected by Blatchley, contained six species. The revision of the group presented here describes 21 new species and establishes the Melanoplus carnegiei group, all of which are associated with grasslands in the Southeast. Analysis of DNA barcoding data, suggest that the technique does not adequately delineate species based on the morphological concepts presented here, but did produce three broad mitochondrial DNA clades that correspond to the Apalachicola and Mississippi River discontinuity phylogeographic pattern displayed by several other organisms in the Southeastern United States. This pattern is attributed to vicariant events resulting from Pleistocene glaciation. A hypothetical evolutionary history of the Scudderi and Carnegiei groups is presented. Natural grasslands historically covered a significant portion of the southeastern United States. These grasslands contribute significantly to the biodiversity of the region with many endemic or rare species inhabiting them. Grasshoppers are important components of temperate grassland ecosystems, but no comprehensive review of the grasshopper fauna of southeastern grasslands had previously been conducted. Here a review of the regional fauna was conducted. In total, 211 grasshopper species have been documented in the Southeast, with 111 species (53%) being endemic to natural grasslands. Of particular note, 74 species (34% of the regional fauna) are endemic to the longleaf pine ecosystem. Many of the non-endemic grasshopper species inhabiting grasslands in the region are disjunct from larger populations west of the Mississippi River, presenting interesting biogeographic distributions. Additionally, a cluster analysis of grasshopper community composition from several types of grasslands in the region supports the faunal distinctiveness of the different types grasslands in the region.

Tornado research conducted across the southeastern United States suggests two peak tornado maxima. However, few studies have distinguished between the thermodynamic and shear environments between cool-season and warm-season tornadoes. Incorporating 100 mb mixed layer parcels, mean thermodynamic and shear parameters for non-significant (F0?F1) and significant (F2?F5) tornado environments were calculated. Cool-season tornado environments were characterized by relatively low amounts of instability and high shear. On the other hand, warm-season tornado events were characterized by higher amounts of instability and generally less shear. The Energy Helicity Index (EHI) remained nearly constant suggesting a balance of instability and shear between the tested seasons. During the cool-season, an increase in instability appears to distinguish between tornado strengths. Yet, an increase in shear during the warm-season may be indicative of significant tornado environments.

Anthropogenic contaminants in the marine environment often biodegrade slowly, bioaccumulate in organisms, and can cause reproductive, immune, and developmental effects on wildlife; however, their effects on cetacean health and behavior have not been extensively studied. This study aims to expand knowledge concerning concentrations and biological effects of endocrine disrupting contaminants and essential and non-essential inorganic elements in stranded cetaceans. We evaluated tissue samples and pathology data from 66 odontocetes that stranded in the southeastern United States during 2012– 2017. Using mass spectrometry blubber samples were analyzed for five endocrine disrupting contaminants (atrazine, bisphenol-A, diethyl phthalate, nonylphenol ethoxylate, triclosan), and liver samples were analyzed for 12 inorganic elements (As, Cd, Co, Cu, Mg, Mn, Fe, Pb, Hg, Se, Tl, Zn). Results from this study demonstrate that exposure to certain contaminants may be associated with subtle or sublethal cellular changes in free-ranging marine mammals that could contribute to health declines or stranding. / Includes bibliography. / Thesis (M.S.)--Florida Atlantic University, 2019. / FAU Electronic Theses and Dissertations Collection

This dissertation focuses on the nature of architectural space in the Caddo area of eastern Texas, in the southwestern portion of the Caddo archaeological area. The early European accounts and the archaeological record indicate there was a wide range in size, shape, form, and use of architectural space in the Caddo area. Buildings have a variety of structural attributes and may be found isolated or associated with plazas or earthen mounds. This dissertation is a detailed examination of this architectural diversity. The sites included in this study range from large multi-mound centers that have seen large-scale and long-term research, such as the George C. Davis site, to smaller hamlets and farmsteads. This study includes 265 structures from 31 sites located throughout the Pineywoods, Post Oak Savanna and Blackland Prairie of eastern Texas. This dissertation provides an examination of the structuring of architectural space by Caddo groups living in eastern Texas. Through a detailed examination of documentary, archaeological, and geophysical data, this research examines the nature of the Caddo built environment; how Caddo cultural space was created, maintained, and altered, and how this relates to broader Caddo society. The purpose of this dissertation is to provide descriptions and comparisons of Caddo architecture from eastern Texas to address three interrelated themes: cultural significance of architectural space to the Caddo, physical form of structures and construction attributes, and variation and change. / text

In this thesis, I have assessed and modelled invasion of alien plant species in the forest of the southeastern United States. There are over 380 recognized invasive plants in southeastern forests and grasslands with 53 ranked as high-to-medium risk to natural communities. I have focused on ten of these: Chinese lespedeza, tall fescue, Japanese honeysuckle, Chinese privet, autumn olive, princesstree, silktree, chinaberry, tree of heaven, tallowtree. Assessing them at differing scales, locally (Chapter 2 and 3), eco-regionally (Chapter 4 and 5) and regionally (Chapters 6 and 7), using field based measurements integrated with remotely sensed and digital datasets, and applying both parametric and non-parametric modelling approaches. Data from field based measurements as well as digitally available sources was evaluated, bringing together freely available data with time consuming, intensively collected data. Once models were developed application to assessing long term impacts was done by integrating potential climate change scenarios. At the local level Chinese lespedeza and Japanese Honeysuckle were the most prevalent, with models at the local level dominated by remotely sensed variables. At an eco-regional level Japanese honeysuckle was the most prevalent with models primarily dominated by environmental variables. At a regional level, where only trees were assessed, potential distributions of the invasive species ranged from 12 to 33 percent of the southeastern forests under current conditions with this dramatically increasing for chinaberry and tallowtree under most climate change scenarios, up as high as 66 percent of southeastern forest sites. In this thesis information on anthropogenic factors added some value to the models, however it was rarely dominant. Roads and land use (proportion of forest or distance to forest) were the most useful anthropogenic variables. In all models evaluated, only six times did any one anthropogenic variable represent more than 25 percent of the models, four of these were at the local scale. At the regional and eco-regional level, roads had a greater than 25 percent contribution to the silktree models, at a local level, distance to forest and distance roads contributed more than 25 percent to three of the species evaluated, sawtooth oak, Japanese honeysuckle and privet. Human activities have the most influence on invasion progression through dispersal (movement and introduction rate) and disturbance of the landscape (increased resource availability). Anthropogenic variables such as roads are likely to be a mechanism of spread, thus the more a model is driven by anthropogenic variables, the more likely the invasive plant is to be in the early stages of invasion process. Thus our results suggest that many of these species have moved through the first stages of invasion. Environmental characteristics play an important role in determining a site’s vulnerability to invasion. At an eco-region and regional scale, environmental characteristics dominated (>50%) all but one model (silktree at the regional scale). At the eco-region level elevation was the dominant variable, and at a regional level minimum temperature was the dominant variable. These have some correlation, with higher elevation often relating to lower temperatures, particularly at a smaller scale. This confirms the validity of matching the climate ranges of native species with the range of potential invasion, and the approach of integrating elevation, latitude and longitude to estimate potential distribution. It also suggests that climate change will influence the distribution and that variation in climate should be integrated into models. Two different modelling approaches, logistic regression and maximum entropy, were used throughout my thesis, and applied to the same data. Agreement between different modelling types adds strength to conclusions, while disagreement can assist in asking further questions. The inclusion in the models of similar variables with the same direction of relationships gives confidence to any inference about the importance of these variables. The geographical agreement between models adds confidence to the probability of occurrence in the area. Alternatively using the same model but different datasets can give you similar information. Overall for all models created by both logistic regression and MaxEnt, the logistic regression had slightly better omission rates and the MaxEnt model had better AUC’s. Logistic regression models also often predicted larger geographical areas of occurrences when the threshold of maximum sensitivity plus specificity was used, thus the lower omission rates is related to the less stringent model that predicts a larger area. The selection of appropriate data to answer the question was shown to be fundamental in Chapter 7. When data were used outside of the area of interest it generalized the models and increased the potential for invasion significantly. There was more value in the intensive surveyed data but this was less dramatic than in using the defined areas of interest to select the data for models.

Dendroclimatological research along a geographical gradient is important to understanding both spatial and temporal characteristics of climate influences on tree growth. In this study, three tree-ring width chronologies, obtained from field collection and previous research, were used to represent tree growth along a longitudinal transect from coast to inland in the southeastern U.S.: Hope Mills, located at the Atlantic Coastal Plain; Linville Mountain, located on the eastern side of the Appalachian Mountains; and Gold Mine Trail, located on the western side of the Appalachians. The variations of ring width indices in chronologies reflect extreme climatic events such as severe droughts or cold periods. Correlation and response function analyses were used to examine the climate-tree growth relationship at three sites. The temporal stationarity of climate signals was tested using moving interval analysis in DENDROCLIM2002. Winter temperature was the limiting climate factor for the western mountain site, while moisture was more important for tree growth in the eastern mountain and coastal area sites. However, all significant climate signals found in the trees were not stable over time. The tendency of a shift from precipitation signal to temperature signal is notable around the mid-20th century. Winter North Atlantic Oscillation (NAO) had positive correlations with radial growth at the two mountain sites, which might explain the winter temperature response by trees. The Atlantic Multidecadal Oscillation (AMO) showed an annual feature of associations with growth, and the multidecadal duration of significant correlations was also apparent. The Pacific-related Pacific Decadal Oscillation (PDO) and El Niño-Southern Oscillation (ENSO) also tended to influence tree growth. Along the coastal-inland transect, gradient features of climate oscillation signals did exist. Relationships changed with phase changes of the oscillations. Land-sea boundaries and high mountains may determine the climate response patterns in the Southeast. Other factors such as microenvironment, human disturbance, and biological reaction of trees to climate change also have influence. It is not reliable to use the composite chronology to study the effect of climate oscillations for the Southeast region. In the future, a large number of sample sites will be necessary to more extensively study the regional climate-tree growth relationship.

My dissertation project utilizes a theoretical perspective derived from historical ecology to explore the trajectory in prehistoric subsistence that began with the initial colonization of the region and eventually led to the domestication of indigenous plants, such as goosefoot and maygrass, roughly 5,000 calendar years ago. Because a major handicap for exploring prehistoric subsistence in eastern North America is the rarity of sites with preserved flora and fauna, I apply formal models derived from behavioral ecology to stone tool assemblages and archaeological site distributions to evaluate models that have been proposed for the emergence of domesticated plants. Based on my results, I argue that the origins of plant domestication came about within the context of a boom/bust cycle that has its roots in the Late Pleistocene and culminated in the Mid-Holocene. More specifically, warming climate caused a significant peak in the availability of shellfish, oak, hickory, and deer, which generated a "tipping point" during the Middle Archaic period where hunter-gatherer groups narrowed their focus on these resources. After this "boom" ended, some groups shifted to other plant resources that they could intensively exploit in the same manner as oak and hickory, which included the suite of plants that were subsequently domesticated. This is likely due the combined effects of increasing population and declining returns from hunting, which is evident in my analysis of biface technological organization and site distributions from the lower Tennessee and Duck River Valleys. Consequently, these conclusions are an alternative to Smith's (2011) assertion that plant domestication in eastern North America came about as a result of gradual niche construction with no evidence for resource imbalance or population packing.