Wetlands are an essential part of the water management system in South Florida, providing many ecosystem services. However, the hydrologic connections of many wetlands, including Loxahatchee Slough in Florida, are poorly understood. Loxahatchee Slough is Palm Beach County’s most diverse natural area and a site of ongoing restoration. The primary objective of this research was to characterize the spatial and temporal variability of surface-groundwater exchange at Loxahatchee Slough. The Magnitude of groundwater seepage to the canal varied spatially. Little seasonal variability in exchange was identified in this study. Canal stage had a strong relationship with groundwater levels and slough stage indicating its important influence. This study provides more insight into the heterogeneous nature of wetland-canal exchange and the need for site-specific evaluation at wetlands for successful management. / Includes bibliography. / Thesis (M.S.)--Florida Atlantic University, 2021. / FAU Electronic Theses and Dissertations Collection

The legacy of monosodium methanearsenate (MSMA) application to golf courses is often arsenic concentrations above the EPA’s maximum contaminant level of 10 μg/L for drinking water and the FDEP soil cleanup target level of 2.1 mg/kg for residential areas. These concentrations pose a health risk and must be remediated for residential development. The objective of this study was to determine how arsenic concentrations vary spatially at a closed golf course poised for residential development. Groundwater and sediment arsenic concentrations were quantified and the controls on arsenic (As) mobility were characterized. The presence of nitrates and iron-(hydr)oxides at the studied golf course largely influenced putting greens having the least As in groundwater whereas roughs contained the most. / Includes bibliography. / Thesis (MS)--Florida Atlantic University, 2021. / FAU Electronic Theses and Dissertations Collection

Biography of Florida governor John Milton (1861-1865). / Typescript. / "May 5, 1937." / "Submitted to the History Department of Florida State College for Women in partial fulfillment for degree A.B. in Arts and Sciences with honors in history." / Includes bibliographical references.

Incorporating safety into the transportation planning stage, which is often termed as transportation safety planning (TSP), relies on the vital interplay between zone characteristics and zonal traffic crashes. Although a few safety studies had made some effort towards integrating safety and planning, several unresolved problems and a complete framework of TSP are still absent in the literature. This research aims at examining the suitability of the current traffic-related zoning planning process in a new suggested planning method which incorporates safety measures. In order to accomplish this broader research goal, the study defined its research objectives in the following directions towards establishing a framework of TSP- i) exploring the existing key determinants in traditional transportation planning (e.g., trip generation/distribution data, land use types, demographics, etc.) in order to develop an effective and efficient TSP framework, ii) investigation of the Modifiable Aerial Unit Problem (MAUP) in the context of macro-level crash modeling to investigate the effect of the zone's size and boundary, iii) understanding neighborhood influence of the crashes at or near zonal boundaries, and iv) development of crash-specific safety measure in the four-step transportation planning process. This research was conducted using spatial data from the counties of West Central Florida. Analysis of different crash data per spatial unit was performed using nonparametric approaches (e.g., data mining and random forest), classical statistical methods (e.g., negative binomial models), and Bayesian statistical techniques. In addition, a comprehensive Geographic Information System (GIS) based application tools were utilized for spatial data analysis and representation. Exploring the significant variables related to specific types of crashes is vital in the planning stages of a transportation network. This study identified and examined important variables associated with total crashes and severe crashes per traffic analysis zone (TAZ) by applying nonparametric statistical techniques using different trip related variables and road-traffic related factors. Since a macro-level analysis, by definition, will necessarily involve aggregating crashes per spatial unit, a spatial dependence or autocorrelation may arise if a particular variable of a geographic region is affected by the same variable of the neighboring regions. So far, few safety studies were performed to examine crashes at TAZs and none of them explicitly considered spatial effect of crashes occurring in them. In order to understand the clear picture of spatial autocorrelation of crashes, this study investigated the effect of spatial autocorrelation in modeling pedestrian and bicycle crashes in TAZs. Additionally, this study examined pedestrian crashes at Environmental Justice (EJ) TAZs which were identified in compliance with the various ongoing practices undertaken by Metropolitan Planning Organizations (MPOs) and previous research. Minority population and the low-income group are two important criteria based on which EJ areas are being identified. These unique areal characteristics have been of particular interest to the traffic safety analysts in order to investigate the contributing factors of pedestrian crashes in these deprived areas. Pedestrian and bicycle crashes were estimated as a function of variables related to roadway characteristics, and various demographic and socio-economic factors. It was found that significant differences are present between the predictor sets for pedestrian and bicycle crashes. In all cases the models with spatial correlation performed better than the models that did not account for spatial correlation among TAZs. This finding implied that spatial correlation should be considered while modeling pedestrian and bicycle crashes at the aggregate or macro-level. Also, the significance of spatial autocorrelation was later found in the total and severe crash analyses and accounted for in their respective modeling techniques. Since the study found affirmative evidence about the inclusion of spatial autocorrelation in the safety performance functions, this research considered identifying appropriate spatial entity based on which TSP framework would be developed. A wide array of spatial units has been explored in macro-level crash modeling in previous safety research. With the advancement of GIS, safety analysts are able to analyze crashes for various geographical units. However, a clear guideline on which geographic entity should a modeler choose is not present so far. This preference of spatial unit can vary with the dependent variable of the model. Or, for a specific dependent variable, models may be invariant to multiple spatial units by producing a similar goodness-of-fits. This problem is closely related to the Modifiable Areal Unit Problem which is a common issue in spatial data analysis. The study investigated three different crash (total, severe, and pedestrian) models developed for TAZs, block groups (BGs) and census tracts (CTs) using various roadway characteristics and census variables (e.g., land use, socio-economic, etc.); and compared them based on multiple goodness-of-fit measures. Based on MAD and MSPE it was evident that the total, severe and pedestrian crash models for TAZs and BGs had similar fits, and better than the ones developed for CTs. This indicated that the total, severe and pedestrian crash models are being affected by the size of the spatial units rather than their zoning configurations. So far, TAZs have been the base spatial units of analyses for developing travel demand models. Metropolitan planning organizations widely use TAZs in developing their long range transportation plans (LRTPs). Therefore, considering the practical application it was concluded that as a geographical unit, TAZs had a relative ascendancy over block group and census tract. Once TAZs were selected as the base spatial unit of the TSP framework, careful inspections on the TAZ delineations were performed. Traffic analysis zones are often delineated by the existing street network. This may result in considerable number of crashes on or near zonal boundaries. While the traditional macro-level crash modeling approach assigns zonal attributes to all crashes that occur within the zonal boundary, this research acknowledged the inaccuracy resulting from relating crashes on or near the boundary of the zone to merely the attributes of that zone. A novel approach was proposed to account for the spatial influence of the neighboring zones on crashes which specifically occur on or near the zonal boundaries. Predictive model for pedestrian crashes per zone were developed using a hierarchical Bayesian framework and utilized separate predictor sets for boundary and interior (non-boundary) crashes. It was found that these models (that account for boundary and interior crashes separately) had better goodness-of-fit measures compared to the models which had no specific consideration for crashes located at/near the zone boundaries. Additionally, the models were able to capture some unique predictors associated explicitly with interior and boundary-related crashes. For example, the variables- 'total roadway length with 35mph posted speed limit' and 'long term parking cost' were statistically not significantly different from zero in the interior crash model but they were significantly different from zero at the 95% level in the boundary crash model. Although an adjacent traffic analysis zones (a single layer) were defined for pedestrian crashes and boundary pedestrian crashes were modeled based on the characteristic factors of these adjacent zones, this was not considered reasonable for bicycle-related crashes as the average roaming area of bicyclists are usually greater than that of pedestrians. For smaller TAZs sometimes it is possible for a bicyclist to cross the entire TAZ. To account for this greater area of coverage, boundary bicycle crashes were modeled based on two layers of adjacent zones. As observed from the goodness-of-fit measures, performances of model considering single layer variables and model considering two layer variables were superior from the models that did not consider layering at all; but these models were comparable. Motor vehicle crashes (total and severe crashes) were classified as 'on-system' and 'off-system' crashes and two sub-models were fitted in order to calibrate the safety performance function for these crashes. On-system and off-system roads refer to two different roadway hierarchies. On-system or state maintained roads typically possess higher speed limit and carries traffic from distant TAZs. Off-system roads are, however, mostly local roads with relatively low speed limits. Due to these distinct characteristics, on-system crashes were modeled with only population and total employment variables of a zone in addition to the roadway and traffic variables; and all other zonal variables were disregarded. For off-system crashes, on contrary, all zonal variables was considered. It was evident by comparing this on- and off-system sub-model-framework to the other candidate models that it provided superior goodness-of-fit for both total and severe crashes. Based on the safety performance functions developed for pedestrian, bicycle, total and severe crashes, the study proposed a novel and complete framework for assessing safety (of these crash types) simultaneously in parallel with the four-step transportation planning process with no need of any additional data requirements from the practitioners' side.

The flatwoods ecosystem of Florida has been heavily depleted over time but remains one of the most important systems to many threatened and endangered species. Areas that have been converted into non-native pastures may be restored to provide not only this invaluable ecosystem but also restore connectivity of the surrounding ecosystems. The pasture areas on The Disney Wilderness Preserve in central Florida were surveyed, and a conceptual plan for restoration was written in 1996. That same year a pilot study was developed to assess five methods for removing non-native pasture grasses. The treatments studied were single herbicide, single disc, multiple herbicide, multiple disc, and single herbicide with two disc treatments. All plots were monitored once a year for three years along non-permanent transects. Percent cover was estimated for seven variables and a species list was developed for each plot. The triple herbicide treatment had the best overall success in removal of non-natives and establishment of native species characteristic of flatwoods communities. This treatment also had the highest species richness. The results of this study were used to develop the long term restoration plan for the remaining pasture areas of the preserve. This information may also be useful to restore pastures that connect other important ecosystems being purchased and protected throughout Florida and the Southeastern United States.

Coastal habitats are highly dynamic and vulnerable to landscape-level disturbances such as storms and restoration projects. Along the east coast of Florida these areas are particularly valuable as they provide significant nesting habitat for two sea turtle species, the threatened loggerhead (Caretta caretta) and the endangered green turtle (Chelonia mydas). This coast was heavily impacted by three major hurricanes in 2004 and in some areas by large restoration projects in 2005. Recent remote sensing methods allow for broad evaluation of the shoreline and thus the ability to assess sea turtle nesting habitat at a landscape scale. I collected nesting data for southern Brevard County, Florida from 1989 – 2005 and for Canaveral National Seashore, Florida from 1995 – 2005. I used LiDAR (Light Detection and Ranging) and IfSAR (Interferometric Synthetic Aperture Radar) remote sensing to map sea turtle nesting habitat in both areas following the 2004 hurricanes and any subsequent restoration. Canaveral National Seashore underwent no restoration while southern Brevard County received extensive restoration. Topographic variables (e.g., total sand volume, width, and slope) derived from the remote sensing data were compared across three time periods (pre-hurricane, posthurricane, and recovery period) and I compared nesting success data from 2004 to 2005. I built regression models for 2004 and 2005 to determine which topographic features influenced loggerhead and green turtle nesting the most. Green turtle nesting success declined from 2004 to 2005 only in highly restored areas while loggerhead nesting sucess declined throughout. Hurricanes caused a reduction in most of the topographic variables and restoration predominantly impacted aspects of the beach profile (e.g. slope and width). Loggerheads responded to profile characteristics (e.g. upper and lower iii beach slopes) though green turtles showed no consistent response to topography. The results indicate that both loggerheads and green turtles are sensitive to beach restoration, although loggerhead nesting is more influenced by beach morphology and green turtle nesting may be influenced more by other dune features such as vegetation cover.

The focus of this research was to analyze the impact of the United States Department of Education‟s Smaller Learning Communities (SLC) Grant Program on student achievement in 17 schools in the state of Florida that were issued three-year grants during the school years 2006-2009 as compared to 17 similar schools in the state of Florida that did not receive grant funding. Base-line data for each of the 34 schools consisted of student performance in 2006, one year prior to SLC schools receiving the grant. Student achievement data from the base-line through the three-year grant period for the 17 grant recipients were compared with that of 17 similar Florida schools that were not grant recipients in 2006. Student data were collected from the Florida Department of Education. The data subjected to analyses were comprised of student achievement on the ninth and tenth grade Florida Comprehensive Assessment Test (FCAT) in the areas of reading and mathematics, the graduation rate, and the dropout rate. The data showed an overall improvement in the SLC schools‟ student achievement based on the six areas analyzed. The data collected were then compared to the 17 similar schools to identify any significant differences in the achievement gains in those schools. Although both the SLC schools and the control schools showed overall improvement, no statistically significant relationship was discovered in the achievement of students in SLC schools versus students in similar schools that did not receive the grant dollars during the defined time periods. The overall trend for all 34 schools was similar improvement in student achievement.

The disproportionate representation of ethnically and racially diverse students in special education has been an enduring problem in education for the past four decades. However, most of the research on disproportionality has focused on the ethnic/racial variable; the body of research focusing on the linguistic variable is still slim in comparison. As linguistic diversity in the United States continues to rise, teachers will continue to be challenged to meet the needs of the English Language Learners in their classrooms. However, many teachers feel unprepared to deal with this diversity and have difficulty discriminating whether a student’s poor performance is due to linguistic or cognitive factors. Consequently, many English Language Learners are misidentified and misplaced in special education programs. The purpose of this study was to analyze the representation of English Language Learners in special education high incidence disability categories in a large, urban school district in Florida. Cross-tabulations and chi-square statistics were used to analyze the distribution of special education students by ethnicity/race, home language, ESOL status, and English proficiency level; risk ratio and relative risk ratio statistics were used to determine whether the district’s English Language Learners showed under, equal, or over-representation in special education high incidence disability categories. The results indicated that English Language Learners were at the greatest risk for being identified as Specific Learning Disabled when compared to the other learning disability categories, and English Language Learners with intermediate English proficiency levels were at a higher risk for being identified and placed in special education high incidence disability categories when compared to beginning and advanced level English Language Learners.

The purpose of this research was to study the implementation of a professional learning community comprised of one group of third-grade teachers in a Florida elementary school where the emphasis was on research-based practices in the teaching of mathematics. Investigated were the growth of teachers‟ content knowledge in mathematics, specifically in the areas of multiplication and division, and the effects of their professional learning within their classrooms. Specifically this study looked at whether or not the participation of a group of third grade teachers in a professional learning community PLC improved the mathematical content knowledge of the participants of the study. This research design called for the research to be conducted in three phases. In Phase I, the researcher interviewed all participants using a researcher-designed interview guide. A researcher-adapted survey, based upon previously released items Ball (2008) was administered as a pre-test of mathematical content knowledge,. In Phase II of the study, the researcher documented the activities that occurred within a 10-week long professional learning community (PLC) of third-grade teachers. In Phase III of the research, a post-study interview was conducted with each of the participants by an independent observer to elicit participants‟ perceptions and observations based on their participation in the PLC. A post-test of content knowledge was also administered to the participants. Several themes were identified in the research study. These themes led to recommendations for practice and future research. Themes were related to the lack of iv mathematical understanding experienced by some teachers and the lack of professional development specifically related to mathematics, the value of the professional learning community, and the benefits of sharing current research and best practices. During this study, the participants were able to read and share examples of research-based best practices in mathematics, and participants then used this new information and additional mathematics content knowledge in their classrooms in teaching their students.

The purpose of this study was to investigate the extent to which the performance of Title I third grade students in a central Florida School District differed on tests administered under timed and untimed conditions. Further examined was the literature on reasons for the achievement gap which centered around seven different themes: (a) standardized testing, (b) achievement gap data and identified factors (c) deficit theory, (d) cultural mismatch theory, (e) extended time accommodations, (f) test anxiety and stress, and (g) timed versus untimed tests. Six Title I schools participated in this study by assigning 194 students to take the 2006 Released FCAT Reading Test under either timed or untimed conditions. Although there were no interactions between the covariates and testing conditions, those who were in the free or reduced lunch program or were in exceptional education programs had lower FCAT scores than those who were not. However, when school was included as a moderator, there was a statistically significant interaction between testing conditions and schools on FCAT scores indicating that the relationship between testing conditions and FCAT scores varied for each individual school. A factorial ANCOVA was conducted, and it was found that the mean differences between students who took the timed and untimed 2006 FCAT Reading Test varied from school to school after accounting for the covariates. For two schools, those students who took the untimed tests scored higher than those who took the timed tests. In contrast, those students who took the untimed tests scored lower than those students who took the iv timed test for one of the schools. There was no statistically significant difference for three of the schools. A factorial MANCOVA was used to compare reading performance on the 2006 Reading FCAT between the timed and untimed groups on domain specific tests. The relationship between testing condition and FCAT scores for each domain specific test varied depending on the individual school. Therefore, it could not be concluded from these analyses that testing conditions would consistently result in increases or decreases of student performance on standardized domain specific tests.