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155 results for “South Florida”
Macroalgae Production in Florida Bay (FCE LTER), South Florida, USA, May 2007 - April 2023
Benthic primary production in Florida Bay is mainly driven by mangroves, seagrass, peryphiton, and macroalgae. The nutrient dynamics and salinity regimes at Florida Bay are strongly influenced by marine waters from the Gulf of Mexico, oceanic waters from the Atlantic Ocean and fresh waters from the Everglades creating a complex estuary with oligohaline ecotones. Marine and groundwater are sources of P and are expected to decline with increased freshwater inflow (Childers et al. 2006a; Price et al. 2006). The Taylor Slough ecotone, (TS/Ph), which flows into the Bay, is characterized by small tidal influence and clear seasonal variability in water source and quality (Davis et al. 2003; Sutula et al. 2001), receives P from shallow groundwater inputs (Price et al. 2006).Therefore the amount of freshwater inputs from the Everglades will affect salinity, water residence times, and the sources, availability, and flux of organic and inorganic nutrients on Florida Bay. As a consequence gradients of N and P concentrations are characteristic in the Bay with expected low concentration of P and high N on the fresh water end, contrasting with higher levels of P and lower of N towards the marine section of the Bay. This gradient in P concentrations is expected to reflect in differences in both primary production and biomass along the TS/Ph ecotone. One of the Everglades LTER scientist general hypothesis is "that increasing inputs of freshwater will enhance oligotrophy in nutrient-poor coastal systems, as long as the inflowing water has low nutrient content; this dynamic will be most pronounced in the oligohaline ecotone" (LTER program). In this context we expect to have a differential production of calcareous macroalgae along the TS-Ph transect which reflect the P gradient with low productivity towards the fresh water influenced sites close to the Everglades increasing towards the marine section of the Bay. We document the primary production of calcareous green macroalgae along th
Mangrove Forest Growth from the Shark River Slough, Everglades National Park (FCE), South Florida, USA, January 1995 - ongoing
All mangrove trees having a diameter at breast height (DBH) greater than 2.5 cm were tagged in two 20 x 20 m plot in stations SRS4-7 and TS/Ph-8. Measurements in Plot Num1 began in 1995; measurements in Plot Num 2 began in 2001. Plot Num1 in TS/Ph-8 was established in 2001. Measurements at SRS-7 began in 2022. DBH has been measured in the period 1995-2023. Mangrove species include Rhizophora mangle, Laguncularia racemosa, Avicennia germinans, Conocarpus erectus.
Flux measurements from the SRS-6 Tower, Shark River Slough, Everglades National Park (FCE LTER), South Florida from October 2006 to 2014
Above canopy measurements of carbon dioxide fluxes and sensible and latent heating were obtained with an open path eddy covariance system positioned on the tower at 26-m. Additionally, measurements of solar irradiance, wind speed, air temperature and humidity were made every half hour.
Water flow velocity data, Shark River Slough (SRS) near Black Hammock island, Everglades National Park (FCE LTER), South Florida from October 2003 to August 2005
Water velocity data measured every 5 or 15 minutes in Shark River Slough beside Black Hammock tree island, Everglades National Park using Sontek Agronaut water flow sampler.
Non-continuous TS/Ph7b Weather Tower Data, Everglades National Park (FCE LTER), South Florida from May 2008 to 2017
A weather tower was constructed in Taylor River at TS-PH7b to collect meteorological data necessary for the estimation of Evapotranspiration estimates within the dwarf mangrove ecotone of FCE. This data set also includes surface water and soil temperature data that was used to investigate groundwater-surface water interactions at the site.
Abiotic monitoring of physical characteristics in porewaters and surface waters of mangrove forests from the Shark River Slough and Taylor Slough, Everglades National Park (FCE LTER), South Florida, USA, December 2000 - ongoing
Data on porewater salinity, temperature, conductivity, pH and redox have been collected to help explain patterns found in porewater nutrient concentrations that were sampled in the same plots. See knb-lter-fce.1171 (https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-fce&identifier=1171) for related porewater-nutrient-concentration data.
FCE Redlands Flood Zones, Miami-Dade County, South Florida
Urban growth models have increasingly been used by planners and policy makers to visualize, organize, understand, and predict urban growth. However, these models reveal a wide disparity in their attention to policy factors. Some urban growth models capture few if any specific policy effects (e.g.,as model variables), while others integrate certain policies but not others. Since zoning policies are the most widely used form of land use control in the United States, their conspicuous absence from so many urban growth models is surprising. This research investigated the impacts of zoning on urban growth by calibrating and simulating a cellular automaton urban growth model, SLEUTH, under two conditions in a South Florida location. The first condition integrated restrictive agricultural zoning into SLEUTH, while the other ignored zoning data. Goodness of fit metrics indicate that including the agricultural zoning data improved model performance. The results further suggest that agricultural zoning has been somewhat successful in retarding urban growth in South Florida. Ignoring zoning information is detrimental to SLEUTH performance in particular, and urban growth modeling in general.
Cross Bank Benthic Aboveground Biomass, Everglades National Park (FCE LTER), South Florida from 1983 to 2014
Aboveground biomass surveys of benthos on cross bank, a site of experimental fetilization via bird defecation since 1983. Dataset includes species specific biomass at five sites, each with both control and experimental treatments
Cross Bank Sediment Characteristics, Everglades National Park (FCE LTER), South Florida from 2014
Sediments characteristics (density, %N, %P % Corg and %Cinor) of cross bank, a site of experimental fetilization via bird defecation since 1983. Dataset includes mentioned charactristics at at five sites, each with both control, experimental treatments and multiple depth fractions.
Mangrove Leaf Litter Carbon and Nutrients from the Shark River Slough, Everglades National Park (FCE), South Florida, USA, January 2019 - ongoing
Mangrove litterfall dynamics have been monitored in all Shark River sites (SRS-4, SRS-5, SRS-6) since January 2001 using the same collection method stated in Castañeda-Moya et al. 2013 (metadata: knb-lter-fce.1195) and Danielson et al. 2017. Briefly, litterfall was collected monthly at all sites (10 baskets per site) using permanent 0.25 m2 wooden baskets supported approximately 1.3 m above the soil surface and lined with 1 mm mesh screening. Litterfall from each basket was sorted, dried, and weighed by leaf species, reproductive parts by species, and woody material. Leaf litter data from different years (2019, 2020, 2021, 2023) were selected for each site to identify species-specific foliar carbon and nutrient (N and P) content. Monthly leaf litter samples were analyzed separately by species for all years after grinding with a Wiley Mill to pass through a 40-µm mesh screen. Total leaf litter C and N contents were determined with a Carlo-Erba NA-1500 elemental analyzer (Fisons Instruments Inc., Danvers, MA, USA). Total leaf litter P was extracted using an acid-digest (HCl) extraction, and concentrations of SRP were determined by spectrophotometric analysis (Methods 365.4 and 365.2, USA EPA 1983). Litterfall data collection is ongoing every year since 2001, while C and nutrients analyses are performed every other year after 2021. See also Shark River mangrove litterfall data (knb-lter-fce.1195) on the FCE LTER website's data catalog or in the EDI repository (https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-fce&identifier=1195). References: Castañeda-Moya, E., Twilley, R. R., & Rivera-Monroy, V. H. (2013). Allocation of biomass and net primary productivity of mangrove forests along environmental gradients in the Florida Coastal Everglades, USA. Forest Ecology and Management, 307, 226-241. Danielson, T.M., V.H. Rivera-Monroy, E. Castaneda-Moya, H. Briceno, R. Travieso, B.D. Marx, E. Gaiser, and L.M. Farfan. 2017. Assessment of Everglades mangrove forest re
Identifying hotspots of soil legacy phosphorus for soil P remediation on a cattle ranch in the Headwaters of the Everglades, South Central Florida, USA, 2020.
Phosphorus (P) cycling has been altered by human activities across various scales. 'Soil legacy P,' driven by agricultural changes such as excessive P fertilization and manure input, has led to P accumulation in soils. These legacy P reserves are long-term non-point sources, causing downstream eutrophication. Despite considerable scientific and policy interest, the fine-scale spatial heterogeneity, underlying drivers, and scales of variance of legacy P remain poorly understood. This dataset comprises of 1,438 surface soils sampled in 2020 across two typical subtropical grasslands managed for livestock production in South Central Florida, USA. The types of grasslands sampled were Intensively-managed or Improved pastures (IM), and Semi-native (SN) pastures. Chemical analysis was performed on the soil samples to determine three soil legacy P measurements (total P, Mehlich-1 and Mehlich-3 extractable P representing labile P pools) across the landscape. Other variables analyzed includedsoil organic matter, pH, available Fe and Al. Additionally, aboveground biomass samples were collected at a subset of soil sites, and analyzed for P content. The key questions regarding soil legacy P related to: its spatial variability and hotspots, variance distribution, relationship to land management and soil characteristics, and correlation with aboveground plant tissue P concentration. Subsequent analysis and spatial autoregressive modeling from this dataset revealed extreme variability of soil P at small scales, with diminishing variance as spatial scale increased, and increased variance in IM vs SN pastures. These findings enhance our understanding of the underlying drivers, spatial patterns, and variances of soil legacy P. Research suggests that broad pasture- or farm-level best management practices may be limited and less efficient, particularly for high-intensity pastures. Instead, management strategies to reduce soil legacy P could be implemented at fine scales, targeting P hots
Demographic measures of Liatris ohlingerae (Asteraceae) in 20 populations across multiple habitats and time-since-fire intervals in south central Florida from 1997-2017
Demographic data were collected on 2,858 tagged individually marked plants annually from 1997 to 2017 in 20 populations across three sites on the southern end of the Lake Wales Ridge in south central Florida, USA. Our goal was to understand demographic responses including recruitment, survival, reproduction and mortality of individuals across populations, habitat types and fire-return-intervals. Habitats include rosemary scrub, scrubby flatwoods and human created sandy roadsides. Populations spanned three sites including Archbold Biological Station (18 populations), Florida Forest Service Arbuckle Tract of the Lake Wales Ridge State Forest (1 population), and Florida Fish and Wildlife Conservation Commission Gould Road property (1 population). Annual demographic measures include survival (including plant dormancy), stage, measures of size, reproductive effort and herbivory. Plots were surveyed annually during flowering in August for previously marked plants and searched for newly recruited putative seedlings or previously missed larger adults. This landscape is managed with periodic prescribed fire impacting some populations with additional post-burn censuses completed after the burn. In addition, damage following three hurricanes in 2004 were recorded. Plants were followed through their lifecycle and after four years of no aboveground growth, plants were assumed dead and tags removed from the field.
NOAA Daily Surface Meteorologic Data at NCDC Everglades Station (ID-082850)(FCE LTER), South Florida from February 1924 to 2017
The National Climatic Data Center's (NOAA) daily mean, maximum, and minimum air temperatures and daily precipitation collected at Everglades Station (Coop ID- 082850). This site was terminated at the end of 2017.
NOAA Daily Surface Meteorologic Data at NCDC Tavernier Station (ID-088841)(FCE), South Florida from June 1936 to May 2009
The National Climatic Data Center's (NOAA) daily mean, maximum, and minmium air temperatures and daily precipitation collected at Tavernier Station (Coop ID-088841).
Water Quality Data (Porewater) from the Taylor Slough, Everglades National Park (FCE), South Florida from September 1999 to December 2006
Porewater samples are collected at SRS1b,SRS2,SRS3, TS/Ph-1-5, 6b within the 1 m^ aboveground sawgrass nondestructive biomass plots. Airstones connected to Tygon tubing are inserted 10-15 cm below the soil surface. Biannually during the wet season, Monoject 140cc syringes are used to collect at least 80 mL of porewater sample and after collection they are immediately placed in an ice filled cooler. The lab processing of these samples include salinity measurements using a refractometer, and filtering the sample through a Whatman GF/F filter. Samples are analyzed for inorganic nutrients such as NO2-,NO3-,NH4+,SRP, and DOC. Dissolved nutrients are measured using standard rapid flow analyzer (RFA) techniques and DOC is quantified on a Shimadzu TOC Analyzer.
Sawgrass above ground biomass from the Taylor Slough, just outside Everglades National Park (FCE), South Florida from October 1997 to December 2006
Sawgrass biomass is measured for TS/Ph-1, 2, 3, & 6 since 1999; TS/Ph-4 & 5 since 1997 to 2006; SRS-1b, 2, & 3 since 2000; SRS1c for 2005 to 2006, and SRS1d since 2006. Three 1 m2 plots are placed on each site. The sites are measured every two months. The number of sawgrass plants is counted for each 1 m2 plot and one third or a minimum of fifteen plants is measured. For each measured plant, measurements of the total number of live leaves, length of the live leaves, and culm diameter at the base are taken. From these measurements we calculate the average leaf length, and the sum of the length of the leaves. We created a model for biomass using a stepwise regression to see which of the variables measured and calculated are more correlated to explain plant biomass. Obtaining the mean biomass for the plants within the plot and multiplying it by the number of plants counted in the plot calculates biomass for each plot. The total biomass for each plot is summed with the other two plots in the same site, and they are averaged to obtain one biomass number per site. To validate our model, plant clippings are obtained in which four plants are clipped (small, medium, large, inflorescence) from each site. The same measurements are applied to the clipped plants as those applied to the measured plants in the plots. The plant clippings are oven dried at 70 degrees C and weighed.
Precipitation from the Taylor Slough, just outside Everglades National Park (FCE), South Florida from August 2000 to December 2006
Rain level is recorded at least every thirty minutes at TS/Ph4 and TS/Ph5 (data since 2000). Rain level data are collected using ISCO rain level gages attached to ISCO autosamplers, which also act as dataloggers. We condense these data into daily cumulative rainfall, although hourly rain level data are also available.
Water Levels from the Taylor Slough, just outside the Everglades National Park (FCE), South Florida from October 1997 to December 2006
Water level is recorded at least hourly at TS/Ph4 and TS/Ph5. Water level is measured with acoustic water level gages that digitally record relative water height relative to the local soil surface.
Groundwater and surface water phosphorus concentrations, Everglades National Park (FCE), South Florida for June, July, August and November 2003
Seawater intrusion into a coastal aquifer mixes with the discharging fresh water to form a zone of mixed composition. This mixing zone is considered to be geochemical important in a carbonate aquifer as an area of enhanced carbonate mineral dissolution and,or precipitation. Ion exchange reactions are also common within the mixing zone as the dominant cation in seawater, sodium, replaces other ions adsorbed to the aquifer matrix. Phosphorus has a strong affinity for adsorption to calcium carbonate minerals. Both the dissolution of calcium carbonate minerals as well as ion exchange reactions have the potential to release phosphorus from the aquifer matrix to the groundwater. Discharge of this phosphorus-laden groundwater, as induced by the fresh/saline water interface, may then be an additional source of phosphorus to the overlying coastal environments. Both surface water and groundwater were collected across the seawater intrusion zone of the coastal Everglades in south Florida during the summer of 2003. Hydrogen sulfide was released from the groundwater wells during sampling, indicating the groundwater was most likely anoxic. In order to reduce the potential exposure of the groundwater to oxygen during sampling, groundwater samples were collected in the following manner. Groundwater wells were first purged of at least three well volumes prior to sampling. Water samples were then collected using a submersible pump with a 16-gauge needle fitted at the end of the discharge hose. The needle was pushed through a rubber stopper covering an acid-washed vacutainer that was first flushed with nitrogen gas to remove and oxygen, then evacuated with a vacuum pump to establish a negative pressure within the vacutainer. Water samples were stored on ice and transported to the laboratory. Samples were processed for total phosphorus using colorimetery following dry-oxidation/acid hydroloysis methods within 1 to 5 days following sample collection. Salinity of the groundwater and surf
NOAA NCCOS Assessment: Priority Areas Recommended for Shallow Coral Reef Management in the South Florida Coast from 2021-04-26 to 2021-05-21
<p>The National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) developed a spatial framework, process, and online application (Buja and Christensen 2019) to identify mapping needs along the south Florida coast to support shallow coral reef management by NOAA’s Coral Reef Conservation Program (CRCP). Eighteen participants from local federal, state, academic, and other institutions entered their priorities in an online participatory Geographic Information System (pGIS). Participants used virtual coins to denote their priorities in 10.4 km<sup>2</sup> hexagonal grid cells overlaid on the study area. Grid cells with more coins were higher priorities than cells with fewer coins. Participants also reported why these locations were important, what data types were needed, and data collection methodologies using a pre-set list of options. Results were compiled, summarized, and mapped to identify high priority areas, reasons for those priorities, and information needs. Identifying these high priority areas provide a critical spatial framework for prioritizing mapping efforts in shallow coral reef ecosystems in south Florida.</p> <p>The overall goal of the project was to systematically gather and quantify suggestions for mapping needs to support management of shallow coral reef ecosystems along the coast of south Florida. This dataset supports these goals by compiling input from a diversity of regional experts on their recommended priorities for mapping data collection.</p> <p>An advisory group was established which included individuals from NOAA CRCP and NOAA Fisheries. This advisory team customized the pGIS process specifically to meet the needs of CRCP and local coral reef manager priorities. In the online pGIS, the study area was divided into 1761 hexagonal grid cells 10.4 km<sup>2</sup> in size. Existing relevant spatial datasets (<em>e.g.</em>, bathymetry, Sanctuary Protection Areas, etc.) were provided as a digital atlas to help participants understand information and data gaps within the project area and to identify locations they wanted to prioritize for future data collections. The pGIS was used by 18 participants to convey their recommendations. Each participant was provided with 530 virtual coins to place into grid cells that they wished to prioritize. They were instructed to place more coins in grid cells that were higher priorities. A maximum of 53 coins could be placed into an individual grid cell by each respondent. Respondents also reported why these locations were important by selecting a minimum of one, and a maximum of two, management uses from the following list: endangered species management (e.g.,), habitat restoration, monitoring, coastal vulnerability planning, watershed management, fisheries management, consultations and permitting, emergency response, and spatial protection and management. Respondents also reported what data types were needed in priority cells. A minimum of one, to a maximum of two choices were selected from the following list: habitat map/characterization, shoreline characterization, ground truthing (e.g. photos and videos collected using ROVs or AUVs), elevation (e.g. bathymetry and topography), backscatter and intensity (e.g. surfaces used to delineate between hard and soft substrate), 2D map product (e.g. static images used to visualize bottom type, presence/absence of taxa), georectified photomosaics (e.g. 3D products created from structure for motion), and water column (e.g. for fish biomass detection). Respondents also reported what method of data collection was desired in each priority cell. Only one response was required and were selected from the following list: satellite, lidar, multibeam echosounder, split beam echosounder, side-scan sonar, photogrammetry, drop-camera, and uncrewed systems. Coin values were summarized and mapped to identify high priority areas, reasons for those priorities, and information needs. This ESRI shapefile contains the 10.4 km<sup>2</sup> grid cells used in this prioritization and their associated coin values overall, as well as by management use, data product, and mapping methodology. Other summary values include the number of participants, number of participating groups, number of management uses, and number of data products. Also included is a ranking of each grid cell based on the total number of coins, management uses, and agencies allocating coins in the respective cell. For a complete description of the process and analysis see: Kraus et al., 2022.</p> <p> </p>
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.