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Over drainage due to water management practices, abundance of native and rare species, and low-lying topography makes the coastal Everglades especially vulnerable to Sea-Level Rise (SLR). Water depths have shown to have a significant relationship to vegetation community composition and organization while also playing a crucial role in vegetation health throughout the Everglades. Modeling potential habitat change and loss caused by increased water depths due to SLR requires better vertical Root Mean Square Error (RMSE) and resolution Digital Elevation Models (DEMs) and Water Table Elevation Models (WTEMs). In this study, an object-based machine learning approach was developed to correct LiDAR elevation data by integrating LiDAR point data, aerial imagery, Real Time Kinematic (RTK)-Global Positioning Systems (GPS) and total station survey data. Four machine learning modeling techniques were compared with the commonly used bias-corrected technique, including Random Forest (RF), Support Vector Machine (SVM), k-Nearest Neighbor (k-NN), and Artificial Neural Network (ANN). The k-NN and RF models produced the best predictions for the Nine Mile and Flamingo study areas (RMSE = 0.08 m and 0.10 m, respectively). This study also examined four interpolation-based methods along with the RF, SVM and k-NN machine learning techniques for generating WTEMs. The RF models achieved the best results for the dry season (RMSE = 0.06 m) and the wet season (RMSE = 0.07 m) WTEMs. Previous research in Water Depth Model (WDM) generation in the Everglades focused on a conventional-based approach where a DEM is subtracted from a WTEM. This study extends the conventional-based WDM approach to a rigorous-based WDM technique where Monte Carlo simulation is used to propagate probability distributions through the proposed SLR depth model using uncertainties in the RF-based LiDAR DEM and WTEMs, vertical datums and transformations, regional SLR and soil accretion rates. It is concluded that a more rigorous-based WDM technique increases the integrity of derived products used to support and guide coastal restoration managers and planners concerned with habitat change under the challenge of SLR. Future research will be dedicated to the extension of this technique to model both increased water depths and saltwater intrusion due to SLR (saltwater inundation). / Includes bibliography. / Dissertation (Ph.D.)--Florida Atlantic University, 2018. / FAU Electronic Theses and Dissertations Collection

Shallow water availability coupled with anthropogenic degradation of seagrass beds limits wading bird food resources in dynamic coastal ecosystems. Identifying prey species critical to wading bird reproductive success and the environmental drivers of key prey species abundance is important for understanding how environmental stressors influence prey and change the quality of foraging patches. Little Blue Herons (Egretta caerulea) are reportedly generalists eating insects, crustaceans, and fish; however, the proportions of prey items in the diet may shift spatially and temporally from freshwater to marine systems during breeding and non-breeding periods. I investigated prey selection by Little Blue Herons in Florida at the Great White Heron National Wildlife Refuge and the western Florida Bay, during 2016 and 2017 breeding seasons by investigating prey availability at low-tide locations along mudflats compared to stomach regurgitate samples collected from Little Blue Heron chicks 1 to 4 weeks old. Little Blue Herons selected Gulf toadfish (Opsanus beta) and prawns (Farfantepenaeus spp.) from the estuarine environment, but also consumed terrestrial prey (e.g. tree crabs) suggesting Little Blue Heron foraging habitat is not restricted to tidal flats. Additionally, these results support the characterization of Little Blue Herons as a generalist. After identifying important prey species, I modeled the associations of selected prey species with submerged aquatic vegetation density and abiotic variables to better understand habitat preferences and important habitat characteristics that drive prey density. Models support total seagrass density and algal density as having the greatest effect on prey selected by Little Blue Herons. Prawn density has a strong positive association with seagrass density. Gulf toadfish (Opsanus beta) and prawns (Farfantepenaeus spp.) had strong positive association with algae while pipefish (Syngnathidae) had a strong negative association with algae suggesting algae density in seagrass meadows should be considered when assessing the quality of seagrass meadows for Little Blue Heron prey and habitat suitability. My results varied from previous studies where prawns and gulf toadfish were associated with specific seagrass species. Therefore, some Little Blue Heron prey species in south Florida may not be affected by changes in submerged aquatic vegetation community composition if submerged aquatic vegetation densities remain constant. Studies are needed that clarify the complex interactions between prey and specific habitat metrics to validate the strength of landscape scale drivers of wading bird prey densities in dynamic coastal ecosystems and to determine how these communities will respond to anthropogenic environmental change. / Includes bibliography. / Thesis (M.S.)--Florida Atlantic University, 2018. / FAU Electronic Theses and Dissertations Collection

This dissertation examined the impacts of multiple collaborative planning and implementation processes on ecosystem management of the Everglades wetlands of South Florida. In particular, the research focused on collaboration's role in (1) reducing phosphorus pollution in runoff from the Everglades Agricultural Area in the historic northern Everglades and (2) improving the water flow regime in Shark Slough of the southern Everglades. Restoration of the greater Everglades watershed is the largest such initiative in the world, and it may also be the most collaborative, with scores of these processes used at various scales since the mid-1960s. Ecosystem management is the most advanced approach to environmental governance, and its three tenets of integrative, adaptive, and ecologically protective governance provide a framework for evaluating environmental planning processes. Proponents of collaborative processes believe they are exceptionally suited to promoting the tenets of ecosystem management. Critics of collaboration, however, are concerned with the potential for cooptation of environmental interests, among other issues. Using qualitative case study methodology, the research found that collaborative processes improved ecosystem management, but not to the degree expected by collaboration proponents. Collaborative processes were integrative of values, information, activities, and political support across the ecosystem, yet integration had biases and limits as a result of groups' strategic behaviors and processes' emphasis on reaching agreement rather than fully exploring the issues. Cooptation of environmental interests was not a significant problem. Collaborative processes promoted adaptation and social learning in specific cases, but at a macro level helped to maintain the status quo of the dominant water management agencies and technocratic paradigms. Process outcomes were protective of ecological health in that they made steady, incremental progress towards ecological restoration. Progress had significant setbacks however, because collaboratively developed policies were subject to capture by economic interests. Despite the collaborative improvements in ecosystem management, ecological health remains a distant and uncertain prospect for the Everglades.

Thesis (M.S.)--Florida State University, 2004. / Advisor: Dr. Rochelle A. Marrinan, Florida State University, College of Arts and Sciences, Dept. of Anthropology. Title and description from dissertation home page (viewed 6/16/04). Includes bibliographical references.

Thesis (M.A.)--Florida State University, 2003. / Advisor: Dr. James P. Jones, Florida State University, College of Arts and Sciences, Dept. of History. Title and description from dissertation home page (viewed Jan, 31, 2005). Includes bibliographical references.

Thesis (M.A.)--University of Florida, 1989. / Completed through the joint cooperative program of the History Departments of the University of Florida and the University of North Florida. Includes bibliographical references (leaves 169-178).

Thesis--University of Florida. / Description based on print version record. Typescript. Vita. Includes bibliographical references (leaves 376-388).

Thesis (Ph. D.)--Florida State University, 2006. / Advisor: Glen H. Doran, Florida State University, College of Arts and Sciences, Dept. of Anthropology. Title and description from dissertation home page (viewed June 13, 2006). Document formatted into pages; contains xii, 126 pages. Includes bibliographical references.