78309 Data Set Published / External 78059 Florida Panhandle ESI, 2024 Project Completed 2025-09 This data set contains human-use or management resource data for National Forests, management areas, Nature Conservancy lands, National Estuarine Research Reserves, National Parks, state parks, special protected areas, and National Wildlife Refuges in Florida Panhandle. Vector polygons in this data set represent park or managed area features. Location specific type and source information are stored in relational data tables (described below) designed to be used in conjunction with this spatial data layer. This data set comprises a portion of the ESI data for Florida. ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil. The ESI data include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources. See also the MANAGED_POINT data layer, part of the larger Florida Panhandle ESI database, for additional managed area information. The ESI data provide sensitive areas data for oil spill planning and response and other environmental management and natural resource purposes. The Clean Water Act with amendments by the Oil Pollution Act of 1990 requires response plans for immediate and effective protection of sensitive areas. These data also support other related state and federal regulatory requirements for oil spill prevention, planning, response, and restoration Theme ISO 19115 Topic Category biota Theme ISO 19115 Topic Category environment Theme Coastal Zone Management Theme Coastal resources Theme Environmental Monitoring,ESI Theme Managed Areas Theme Oil spill planning Theme Parks Theme Sensitivity maps Theme Wildlife Theme biota Theme environment Spatial Florida Data Set Map (digital) Data Steward 2025-09 Position ESI Program Manager orr.esi@noaa.gov 7600 Sand Point Way NE Seattle WA 98115 Distributor 2025-09 Organization Office of Response and Restoration ORR https://ror.org/03g5tqa50 1305 East-West Highway Silver Spring MD 20910 https://response.restoration.noaa.gov/ ORR Home Page Online Resource Metadata Contact 2025-09 Position ESI Program Manager orr.esi@noaa.gov 7600 Sand Point Way NE Seattle WA 98115 -87.53319 -83.69784 30.77393 29.54792 Range 2022 2023 The data were compiled during 2021-2023. The currentness dates for this data range from 2022 to 2023 and are documented in the Lineage section. Geographic 2D EPSG:4269 NAD83 North American Datum 1983 GRS 1980 6378137 298.257222101 1 Geodetic Latitude Lat degree north 1 Geodetic Latitude Lat degree north 2 Geodetic Longitude Lon degree east 2 Geodetic Longitude Lon degree east Custom Unclassified Although these data have been processed successfully on a computer system at the National Oceanic and Atmospheric Administration, no warranty, expressed or implied, is made by NOAA regarding the utility of the data on any other system, nor shall the act of distribution constitute any such warranty. NOAA warrants the delivery of this product in computer-readable format, and will offer a replacement copy of the product when the product is determined unreadable by computer input peripherals, or when the physical medium is delivered in damaged condition. https://response.restoration.noaa.gov/esi 2025-09 Organization Office of Response and Restoration https://ror.org/03g5tqa50 Data access URL ESRI File Geodatabase A multi-stage error checking process is used to verify both attribute accuracy and logical consistency throughout data production. The process includes a standardized data entry methodology, data review by in-house and external resource experts, a final Quality Assurance/Quality Control (QA/QC) process, and multiple automated logical consistency checks. Quantitative data (such as densities, counts, abundances, or concentrations) provided by resource experts for inclusion in the data set may vary widely in attribute accuracy, depending upon the methodology used to collect and compile such data. For a more detailed evaluation of source data attribute accuracy, contact the sources listed in the Lineage section. The attribute accuracy is estimated to be 'good' given the years of ESI experience, the data input methodology, the quality control review sessions, and the digital logical consistency checks. Spatial components for the biological data layers can come from expert interviews, hardcopy, or digital sources. Some of the spatial components of the biological data layers may have been developed using regional experts who estimate concentration areas. It is difficult to estimate the positional accuracy of such data, except to state that they are compiled on hardcopy base maps with a scale of 1:24,000. Some of the spatial components of the biological data sets are developed from pre-existing digital or hardcopy sources and reflect the positional accuracy of these original data. Note that biological resource data by their very nature are considered "fuzzy", and this should be understood when considering the positional accuracy of vector digital objects representing these resources. See the Lineage and Process_Description sections for more information on the original source data and how these data were integrated or manipulated to create the final data set. These data represent a synthesis of digital data on SAV, hardbottom, and Sargassum distribution. See also the BENTHICPT data layer, part of the larger Florida Panhandle ESI database, for additional benthic information. These data do not necessarily represent all benthic occurrences in Florida Panhandle. The following species are included in this data set: (Species_ID, Common Name, Scientific Name [n/a if not applicable]): 253, Hardbottom reef, n/a; 317, Sargassums, Sargassum spp.; 609, Submerged aquatic vegetation, n/a. A multi-stage error checking process, described in the above Attribute_Accuracy_Report, is used to verify both attribute accuracy and logical consistency throughout data production. This process includes multiple automated logical consistency checks that test the files for missing or duplicate data, rules for proper coding, GIS topological consistencies, and SQL SERVER(R) to ArcGIS(R) consistencies. A final review is made by the ESI manager, where the data are written to CD-ROM and the metadata are written. RARNUM's are defined on an element basis, so 'resources at risk' groupings will contain only a single element. For full lineage source details, please see metadata xml file in the distribution download file. 1 Two main sources of data were used to depict human-use resources to form the MANAGED_POINT layer: 1) the Deepwater Horizon Project Tracker; and 2) FWC - FWRI. Deepwater Horizon Restoration project locations were provided by the Deepwater Horizon Project Tracker. Critical Wildlife areas in Florida were provided by FWC - FWRI. The above digital and/or hardcopy sources were compiled by the project biologist to create the MANAGED_POINT data layer. Depending on the type of source data, three general approaches are used for compiling the data layer: 1) information gathered during initial interviews and from hardcopy sources are compiled onto U.S. Geological Survey 1:24,000 topographic quadrangles and digitized; 2) hardcopy maps are digitized at their source scale; 3) digital data layers are evaluated and used "as is" or integrated with the hardcopy data sources. See the Lineage section for additional information on the type of source data for this data layer. The ESI, biology, and human-use data are compiled into the standard ESI digital data format. A second set of interviews with participating resource experts are conducted to review the compiled data. If necessary, edits to the MANAGED_POINT data layer are made based on the recommendations of the resource experts, and final hardcopy maps and digital data are created. 2023-06-01T00:00:00 Organization Florida Fish & Wildlife Conservation Commission FWC-FWRI 100 Eighth Avenue Southeast St. Petersbug FL 33701 USA (727)-896-8626 http://research.myfwc.com 8:00 am - 5:00 pm EST gov.noaa.nmfs.inport:78309 Adam Rotert 2025-09-30T19:24:06 SysAdmin InPortAdmin 2026-03-04T19:17:18 2025-09-30 Office of Response and Restoration ORR 1002 Public No No 2025-09-30 1 Year 2026-09-30