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Adapting the pin-intercept method to estimate emergent biomass in sawgrass-dominated communities of the Florida Everglades
Title
Adapting the pin-intercept method to estimate emergent biomass in sawgrass-dominated communities of the Florida Everglades.
Creator
Lauck, Marina, Benscoter, Brian
Date Issued
2013-04-05
PURL
http://purl.flvc.org/fcla/dt/3361111
Subject Headings
Biomass, Everglades (Fla.), Ecology--Research
Format
Document (PDF)
Biotic phase-shifts in Florida Bayand fore reef communities of the Florida Keys: linkages with historical freshwater flows and nitrogenloading from Everglades runoff
Title
Biotic phase-shifts in Florida Bayand fore reef communities of the Florida Keys: linkages with historical freshwater flows and nitrogenloading from Everglades runoff.
Creator
Lapointe, Brian E., Matzie, William R., Barile, Peter J.
Date Issued
2002
PURL
http://purl.flvc.org/fau/fd/FA00007397
Subject Headings
Florida Bay (Fla.), Florida Keys (Fla.), Reefs--Florida, Eutrophication, Coastal ecology, Everglades (Fla.)
Format
Document (PDF)
Cascading effects of vegetation on peat soil properties and crayfish survival in the Florida Everglades
Title
Cascading effects of vegetation on peat soil properties and crayfish survival in the Florida Everglades.
Creator
Chapman, Alexander, Benscoter, Brian, Dorn, Nathan, Graduate College
Date Issued
2013-04-12
PURL
http://purl.flvc.org/fcla/dt/3361281
Subject Headings
Everglades (Fla.), Peat soils, Crayfish, Cattails, Multitrophic interactions (Ecology)
Format
Document (PDF)
Evaluating the effectiveness of seed banks for the recovery of sawgrass in A.R.M Loxahatchee National Wildlife Refuge
Title
Evaluating the effectiveness of seed banks for the recovery of sawgrass in A.R.M Loxahatchee National Wildlife Refuge.
Creator
Yeyati, Nestor, Lange, James J., Benscoter, Brian
Date Issued
2013-04-05
PURL
http://purl.flvc.org/fcla/dt/3361240
Subject Headings
Arthur R. Marshall Loxahatchee National Wildlife Refuge (Fla.), Cladium, Everglades (Fla.), Soil seed banks
Format
Document (PDF)
Everglades education: analysis of the” everglades on you program”
Title
Everglades education: analysis of the” everglades on you program”.
Creator
Scarafia, Rachel, Meltzer, Carol, Graduate College
Date Issued
2011-04-08
PURL
http://purl.flvc.org/fcla/dt/3164689
Subject Headings
Everglades (Fla.), Interdisciplinary approach in education, Florida Comprehensive Assessment Test
Format
Document (PDF)
Increasing Integrity in Sea-Level Rise Impact Assessment on Florida’s Coastal Everglades
Title
Increasing Integrity in Sea-Level Rise Impact Assessment on Florida’s Coastal Everglades.
Creator
Cooper, Hannah M., Zhang, Caiyun, Florida Atlantic University, Charles E. Schmidt College of Science, Department of Geosciences
Abstract/Description
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...
Show moreOver 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).
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Date Issued
2018
PURL
http://purl.flvc.org/fau/fd/FA00005991
Subject Headings
Everglades (Fla.), Sea level rise, Coastal ecology--Florida, Everglades (Fla)--Environmental conditions, Impact assessment
Format
Document (PDF)
Interview with Joe Schweigart – ca. 2008
Title
Interview with Joe Schweigart – ca. 2008.
Creator
Schweigart, Joe (Interviewee), Addeo, David (Interviewer)
Date Issued
2008-02-18
PURL
http://purl.flvc.org/fau/fd/FADT78736
Subject Headings
South Florida Water Management District (Fla.), Everglades (Fla.), Florida -- Environmental conditions, Water resources development -- Environmental aspects -- Florida, Oral histories --Florida, Oral history
Format
Set of related objects
Interview with Maxie Simmons – ca. 2008
Title
Interview with Maxie Simmons – ca. 2008.
Creator
Simmons, Maxie, Knight, Robert, Feeley, Margaret K.
Date Issued
2008-02-08
PURL
http://purl.flvc.org/fau/fd/FADT78826
Subject Headings
Krome, Isabelle B., Krome, William J., Horticulture -- Florida, Homestead (Fla.), Everglades (Fla.), Florida -- History, Oral histories --Florida, Oral history
Format
Set of related objects
Using Hydrogeophysical Methods for Investigating Carbon Dynamics in the Greater Everglades Watershed: Implications for the Spatial and Temporal Variability in Carbon Stocks and Biogenic Gas Fluxes
Title
Using Hydrogeophysical Methods for Investigating Carbon Dynamics in the Greater Everglades Watershed: Implications for the Spatial and Temporal Variability in Carbon Stocks and Biogenic Gas Fluxes.
Creator
McClellan, Matthew D., Comas, Xavier, Florida Atlantic University, Charles E. Schmidt College of Science, Department of Geosciences
Abstract/Description
Peat soils store a large fraction of the global soil carbon (C) pool and comprise 95% of wetland C stocks. They also have the capability to produce and release significant amounts of greenhouse gasses (CO2, CH4) into the atmosphere. Most studies of wetland soil C and gas flux dynamics have been done in expansive peatlands in northern boreal and subarctic biomes. However, wetlands in temperate and tropical climates are vastly understudied despite accounting for more than 20% of the global...
Show morePeat soils store a large fraction of the global soil carbon (C) pool and comprise 95% of wetland C stocks. They also have the capability to produce and release significant amounts of greenhouse gasses (CO2, CH4) into the atmosphere. Most studies of wetland soil C and gas flux dynamics have been done in expansive peatlands in northern boreal and subarctic biomes. However, wetlands in temperate and tropical climates are vastly understudied despite accounting for more than 20% of the global peatland C stock and storing large amounts of biogenic gasses Although studies investigating greenhouse gas dynamics from peatlands have increased during the last decade, the spatial and temporal distribution of these gases still remains highly uncertain, mainly due to the limitations in terms of spatial and temporal resolution and invasive nature of most methods traditionally used. This thesis combines a series of field and laboratory studies at several sites in the Greater Everglades as examples to show the potential of hydrogeophysical methods to better understand: 1) the belowground C distribution and overall contribution to the global C stocks of certain wetlands (Chapter 2); and 2) the spatial and temporal variability in both C accumulation and releases from peat soil monoliths from several wetland sites in the Greater Everglades (Chapter 3 and 4). To estimate belowground C in the field, I used a combination of indirect non-invasive geophysical methods (GPR), aerial imagery, and direct measurements (coring) to estimate the contribution of subtropical depressional wetlands to the total C stock of pine flatwoods landscape at the Disney Wilderness Preserve (DWP, Orlando, FL). Three-dimensional (3D) GPR surveys were used to define the thickness of stratigraphic layers from the wetland surface to the mineral soil interface within depressional wetlands. Depth-profile cores in conjunction with C core analysis were utilized to visually confirm depths of each interface and estimate changes in soil C content with depth and were ultimately used to estimate total peat volume and C stock for each depressional wetland. Aerial photographs were used to develop a relationship between surface area and total wetland C stock, that were applied to estimate total landscape C stock of all depressional wetlands throughout the entire preserve. Additionally, low-frequency GPR surveys were conducted to image the stratigraphy underneath the peat basin of depressional wetlands to depict lithological controls on the formational processes of depressional wetlands at the DWP. Spatial and temporal variability in biogenic greenhouse gas (i.e. methane and carbon dioxide) production and release were investigated at the laboratory scale. Two 38 liter (0.5 m x 0.23 m x 0.3 m) peat monoliths from two different wetland ecosystems in central Florida (sawgrass peatland and a wet prairie) were compared in order to understand whether changes in matrix properties influence gas dynamics in a controlled environment (i.e. constant temperature). Gas content variability (i.e. build-up and release) within the peat matrix was estimated using a series of high frequency (1.2 GHz) GPR transects along each sample about three times a week. An array of gas traps (eight per sample) fitted with time-lapse cameras were also used in order to constrain GPR measurements and capture gas releases at 15-minute intervals. Gas chromatography was performed on gas samples extracted from the traps to determine CH4 and CO2 content. Also, at the lab scale, temporal variability in biogenic gas accumulation and release was investigated in a large 0.073 m3 peat monolith from the Blue Cypress Preserve in central Florida. An autonomous rail system was constructed in order to estimate gas content variability (i.e. build-up and release) within the peat matrix using a series of continuous GPR transects along the sample. This system ran virtually nonstop using high frequency (1.2 GHz) antennas. GPR measurements were again constrained with an array of gas traps (6) fitted with time-lapse cameras and gas chromatography. The aim of this study is to better constrain temporal scale, and better understand the heterogeneous nature (both in time and space) of gas releases from peat soils.
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Date Issued
2019
PURL
http://purl.flvc.org/fau/fd/FA00013238
Subject Headings
Greenhouse gases, Everglades (Fla.), Peatlands, Carbon, Bogenic gas
Format
Document (PDF)