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FISH_PairwiseIntersect
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Linear Unit: Meter (1.000000)
NAD_1983_2011_Florida_GDL_Albers
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20250919
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20250919
File Geodatabase Feature Class
Esri ArcGIS 13.3.2.52636
Florida Statewide Environmental Sensitivity Index (ESI): FISH (Fish Polygon) Intersect for GRS
GISLibrarian
Florida Fish and Wildlife Conservation Commission-Fish and Wildlife Research Institute
GIS Data Librarian
727-896-8626
727-893-1679
100 Eighth Avenue Southeast
Fish and Wildlife Research Institute
St. Petersburg
Florida
33701
US
GISLibrarian@MyFWC.com
8:00 a.m.-5:00 p.m. Eastern time
GISLibrarian
1
-87.389786
-79.799814
30.756201
24.328061
The ESI data were collected, mapped, and digitized to provide environmental data for oil spill planning and response. The Clean Water Act with amendments by the Oil Pollution Act of 1990 requires response plans for immediate and effective protection of sensitive resources. 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.
This ESI database was produced by FWRI staff by combining the ESI data from the NW Peninsula, SW Peninsula, Panhandle, South and East Florida ESI databases. This statewide ESI dataset includes five merged datasets, each representing a different region of Florida. The Panhandle data was created in 2024, followed by the South Florida dataset in 2013. The Southwest Peninsular dataset dates back to 2016, and the Northwest Peninsular data was created in 2017. The East Florida dataset was finalized in 2020. This dataset contains only the polygons intersecting the ESI index for performance enhancement for online applications. For full ESI data and metadata for other regions please download the source ESI geodatabase for that region from https://geodata.myfwc.com/.
<DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 11 0;"><SPAN>The Statewide ESI BIOLOGICAL Polygon datasets including BENTHIC, BIRDS, FISH, HABITAT, HERP, INVERT, M_MAMMAL, T_MAMMAL have been intersected with the ESI index grid to improve online application performance for apps that target the nearshore areas corresponding to the ESI INDEX. Additional ESI data including offshore areas is available for download at https://geodata.myfwc.com/.</SPAN></P><P STYLE="margin:0 0 11 0;"><SPAN>This data set contains sensitive biological resource data for fish in Florida in vector format. This dataset contains only the polygons intersecting the ESI index for performance enhancement for online applications. Abundance, seasonality, status, life history, and source information are stored in relational data tables 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. Environmental Sensitivity Index (ESI) is more properly known as 'Sensitivity of Coastal Habitats and Wildlife to Spilled Oil' Atlases. The term 'ESI' is often used in reference to the whole dataset, but the term 'ESI' is really a reference to the classification system of shoreline types known as Environmental Sensitivity Index, that classifies a shoreline on a scale from 1 to 10 based upon overall sensitivity to spilled oil. This data set is a compilation of the most recent ESI mapping for each area of Florida.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
This project was supported by Florida Fish and Wildlife Conservation Commission-Florida Wildlife Research Institute (FWRI-FWRI), Research Planning, Inc. (RPI), National Oceanic and Atmospheric Administration (NOAA), and United States Coast Guard (USCG).
biota
environment
Environmental Monitoring
ESI
Sensitivity maps
Coastal resources
Oil spill planning
Coastal Zone Management
Wildlife
FWC
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>DO NOT USE MAPS FOR NAVIGATIONAL PURPOSES. Besides the above warning, there are no use constraints on these data. Note that the ESI database should not be used to the exclusion of other pertinent data or information held by state or federal agencies or other organizations. Likewise, information contained in the database cannot be used in place of consultations with environmental, natural resource, and cultural resource agencies, or in place of field surveys. Recognize that the information contained in the ESI database represents known concentration areas or occurrences of natural, cultural, and human-use resources, but does not necessarily represent the full distribution or range of each species or resource. This is particularly important to recognize when considering potential impacts to protected resources, such as endangered species, wetlands, etc. Acknowledgment of the originators, publishers, contributors, and sources listed would be appreciated in products derived from these data.</SPAN></P></DIV></DIV></DIV>
<DIV STYLE="text-align:Left;"><DIV><P><SPAN>Users are encouraged to read and fully comprehend the metadata record prior to using these data. Please acknowledge the Florida Fish and Wildlife Conservation Commission (FWC) as the data source for any products developed from these data. Users should be aware that comparison with other data sets for the same area may be inaccurate due to inconsistencies resulting from changes in mapping conventions, data collection techniques, and computer processes over time. FWC shall not be liable for improper or incorrect use of these data.</SPAN></P></DIV></DIV>
This data set is in the public domain, and the recipient may not assert any proprietary rights thereto nor represent it to anyone as other than a Florida Fish and Wildlife Conservation Commission produced data set; it is provided "as-is" without warranty of any kind, including, but not limited to, the implied warranties of merchantability and fitness for a particular purpose. The user assumes all responsibility for the accuracy and suitability of this data set for a specific application. In no event will the staff of the Florida Fish and Wildlife Conservation Commission be liable for any damages, including lost profits, lost savings, or other incidental or consequential damages arising from the use of or the inability to use this data set.
These data are unrestricted. Where possible, always acquire this dataset directly from FWC as other sources may have altered the original data.
PROCESS STEPS IN MAPJOINING NEW AND OLD ESI INTO A COMPOSITE STATEWIDE ESI DATASET: Tools Used: ArcGIS Pro Advanced License.
1. Data gathering and QA/QC:This statewide ESI dataset includes five merged datasets, each representing a different region of Florida. The Panhandle data was created in 2024, followed by the South Florida dataset in 2013. The Southwest Peninsular dataset dates back to 2016, and the Northwest Peninsular data was created in 2017. The East Florida dataset, which was finalized in 2020.
All biological data sets were region polygon data within file geodatabase Feature Classes and ancillary fGDB tables. 2. Schema validation: Differences across datasets were noted. The overall schema from 2020 ESI (for East Florida) was used to create the final composite ESI file geodatabase schema design, though some modifications were made to this schema to accommodate concatenation and longer field character limits as mentioned below. 3. Align RARNUMS to be unique to each dataset by year produced (2012, 2013) or assigned atlas number for the more recent data. This required schema change to increase RARNUM field length to accommodate a larger integer field. 4. Compare SPECIES tables across datasets, eliminate duplicates, merge into composite SPECIES table. Validate species scientific name is current across all species. Several were noted to be using "older" species scientific name. These were corrected in the final composite SPECIES table. 5. Compare STATUS table across datasets, eliminate duplicates, merge into composite STATUS table, establish relate to SPECIES table and then validate T/E/C status across all of the T/E/C species as compared to T/E species list prepared by FWC in 2024. It should be noted that there are significant differences between the current STATUS table and prior ESI data versus later editions of the STATUS table. These differences have been reconciled. 6. File Geodatabases were created and prepared, one for each source edition of ESI geodata, and one for the final composite ESI. Some key fields were modified in order to be unique across atlases. These were modified in all tables they were present in by concatenating the atlas number or year created to the key fields: RARNUM, SPECIES_ID, EL_SPE, SOURCE_ID, EL_SPE_SEA. These tables were merged to include data from all years and the STATUS table was reconciled as noted above.
8. Using the "Erase Features" tool in XTools Pro and the "Study Area" polygons of the 2012 Panhandle Florida ESI and 2013 South Florida ESI geodata, the areas of the statewide 2003 ESI geodata were systematically erased to prepare that data for merging with the newer geodata. The result was a fGDB of ESI geodata for the areas of Florida NOT updated in either the Panhandle or South Florida updates performed from 2010 to 2013 that additionally had the table and attribute modifications needed in order for the data to be smoothly mapjoined with all of the newer ESI data. 9. In cases of overlap, only the most recent ESI data were used. There were two cases where older data were included, the listed Sanibel Rice rat was appended to the terrestrial mammals dataset as there was not a terrestrial mammals dataset in SW Peninsula in 2016, and the St. Johns river fish from 2003 were included as the St Johns river ESI has not been redone since then.
10. QA and QC were then performed extensively using as series of Joins, Relates, and Queries, validating the soundness and completeness of the overall dataset.
11. Use FMSAS to create BIOGWIS table for combined source ESI by atlas data tables.
12. QA and QC were then performed extensively using as series of Joins, Relates, and Queries, validating the soundness and completeness of the overall dataset.
This project was supported by the Florida Wildlife Research Institute (FWRI), Florida Fish and Wildlife Conservation Commission (FWC). Timyn Rice with FWRI served as contract and technical manager for the project. Steven Nicholl, Timyn Rice, Christi Santi, Ryan Druyor, Latosha Thompson, Chris Boland, Ryan Druyor and other FWRI staff contributed significantly to the project, as did many other individuals from several state and federal agencies and other organizations. At Research Planning, Inc. in Columbia, South Carolina, numerous scientific and staff were involved with different phases of the project. Mark White, GIS Director, and Christine Boring, Biology Dept. Manager, were co-Project Managers. The ESI shoreline was classified by Jennifer Horsman, Lee Diveley, and Katy Beckham. The biological data were collected and compiled by Christine Boring, Lauren Szathmary, Jennifer Weaver, and Lincoln Smith. Katy Beckham, Lee Diveley, Jeff Dahlin, and Chris Locke produced the GIS data and final metadata documents.
This project was supported by the National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), Office of Response and Restoration (OR&R), Emergency Response Division (ERD), Seattle, Washington, the Department of Homeland Security (DHS), United States Coast Guard (USCG), Office of Incident Management and Preparedness Washington, D.C. and the Fish and Wildlife Research Institute (FWRI), Florida Fish and Wildlife Conservation Commission (FWC), St. Petersburg, Florida.
The Statewide ESI BIOLOGICAL Polygon datasets including BENTHIC, BIRDS, FISH, HABITAT, HERP, INVERT, M_MAMMAL, T_MAMMAL have been intersected with the ESI index grid to improve online application performance for apps that target the nearshore areas corresponding to the ESI INDEX. Additional ESI data including offshore areas is available for download at https://geodata.myfwc.com/.
10084
EPSG
8.2.10(10.3.1)
BIOGWIS
The BIOGWIS table contains attribute information for the features in this data set. Related to the spatial data by EL_RAR field.
FWRI
Feature Class
10084
OBJECTID
OBJECTID
OID
4
0
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Shape
Shape
Geometry
0
0
0
Feature geometry.
Esri
Coordinates defining the features.
FID_FISH
FID_FISH
Integer
4
0
0
RARNUM
ID field
ESI Guidelines v4
"NEED TO ADD"
"NEED TO ADD"
RARNUM
Integer
4
0
0
EL_RAR
EL_RAR
String
30
0
0
An identifier that links directly to the BIOGWIS.
FWRI
FID_INDEX
FID_INDEX
Integer
4
0
0
FMRI_GRP_I
FMRI_GRP_I
Double
8
0
0
INDEXGEN_
INDEXGEN_
Double
8
0
0
INDEXGEN_1
INDEXGEN_1
Double
8
0
0
TILE_NAME
TILE_NAME
String
32
0
0
TOPO_NAME
TOPO_NAME
String
254
0
0
SCALE
SCALE
Double
8
0
0
MAPANGLE
MAPANGLE
Double
8
0
0
PAGESIZE
PAGESIZE
String
20
0
0
ATLASID
ATLASID
String
254
0
0
ALT_ATLASI
ALT_ATLASI
String
254
0
0
ATLMAPNAM
ATLMAPNAM
String
254
0
0
ALT_ATLMAP
ALT_ATLMAP
String
254
0
0
MAP_URL
MAP_URL
String
254
0
0
ALT_MAP_UR
ALT_MAP_UR
String
254
0
0
META_URL
META_URL
String
254
0
0
INDEX_URL
INDEX_URL
String
254
0
0
ABOUT_URL
ABOUT_URL
String
254
0
0
LEGEND_URL
LEGEND_URL
String
254
0
0
GRP_URL
GRP_URL
String
254
0
0
ESI_URL
ESI_URL
String
254
0
0
gis_FWC_GR
gis_FWC_GR
Double
8
0
0
gis_FWC__1
gis_FWC__1
Double
8
0
0
GLOBALID
GLOBALID
String
38
0
0
Name
NAME
String
254
0
0
Species Common Name
ESI Guidelines v4
MAP_NAME
MAP_NAME
String
20
0
0
ATLAS_NAME
ATLAS_NAME
String
254
0
0
PUB_DATE
PUB_DATE
String
20
0
0
TILE_NAME_
TILE_NAME_
String
254
0
0
TILE_NAME1
TILE_NAME1
String
254
0
0
TILE_NAM_1
TILE_NAM_1
String
254
0
0
TILE_NAM_2
TILE_NAM_2
String
254
0
0
TILE_NAM_3
TILE_NAM_3
String
254
0
0
TILE_NAM_4
TILE_NAM_4
String
254
0
0
TILE_NAM_5
TILE_NAM_5
String
254
0
0
TILE_NAM_6
TILE_NAM_6
String
254
0
0
Shape_Leng
Shape_Leng
Double
8
0
0
TILE_NUM
TILE_NUM
String
255
0
0
Shape_Length
Shape_Length
Double
8
0
0
Length of feature in internal units.
Esri
Positive real numbers that are automatically generated.
Shape_Area
Shape_Area
Double
8
0
0
Area of feature in internal units squared.
Esri
Positive real numbers that are automatically generated.
In addition to the geographic data layers, six relational attribute or data tables, BIORES, BREED, SEASONAL, SOURCES, SPECIES, and STATUS, are used to store the complex biological data in the ESI data structure. The ESI statewide dataset has combined the most used fields from these tables into one "BIOGWIS" table. Full ESI database in the original structure can be downloaded by region at https://geodata.myfwc.com
A complete description of entity types, attributes, and attribute values for ESI atlases can be found in the NOAA ESI Guidelines (https://response.restoration.noaa.gov/esi_guidelines).
Simple
FALSE
10084
TRUE
FALSE
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