Identification and Prioritization of Existing Bridges as Potential Wildlife Underpasses for Vehicle-Bear Collision Mitigation in Florida

Florida Fish and Wildlife Conservation Commission20181221Identification and Prioritization of Existing Bridges as Potential Wildlife Underpasses for Vehicle-Bear Collision Mitigation in Florida - December 2018Vector Digital Data Set (Point)Gainesville, FLUniversity of Florida GeoPlan CenterState of FloridaThis dataset contains priority bridge locations based on vehicle-bear collisions. The FWC examined the location of vehicle-bear collisions that occurred between 2012 and 2016 to determine where high-density concentrations, or ‘hotspots’, of collisions were consistently occurring to identify specific areas for potential mitigation measures. The FWC used FDOT bridge data to identify all existing bridges within 100 meters of a hotspot. These 350+ bridges were then examined by FWC staff through aerial imagery and the “street view” function on Google Earth to identify those with the potential to become wildlife underpasses. FWC identified 28 bridges statewide with the potential to act as wildlife underpasses in areas where vehicle-bear collisions are common. Many of the bridges identified are near or within wildlife conservation areas. The FWC classified each of the 28 potential bridges into one of three categories based on priority, including ‘high’, ‘moderate’, and ‘low’ priority levels based on the bridge’s proximity to the 1 km and 5 km hotspot locations throughout the state. For more information, please see this report: https://www.geoplan.ufl.edu/agol/pdf/Animal_Vehicle_Collisions/FWC_DOT%20_Underpass_%20Fencing_Proposal_FINAL.pdfThe purpose of this data is to identify and prioritize existing bridges as potential wildlife underpasses to mitigate for Vehicle-Bear Collision.20181221publication dateCompleteAs needed-85.546045-80.98269630.47298128.865576ISO 19115 Topic CategorybiotaFor FDOT Use OnlyFor FDOT Use OnlyUniversity of Florida GeoPlan CenterSam Palmerunknown

411 Architecture Building

GainesvilleFl32611n/adata@fgdl.org Version 6.2 (Build 9200) ; Esri ArcGIS 10.8.1.14362GeoPlan relied on the integrity of the attribute information within the original data.This data is provided 'as is'. GeoPlan relied on the integrity of the original data layer's topologyThis data is provided 'as is' by GeoPlan and is complete to our knowledge.This data is provided 'as is' and its horizontal positional accuracy has not been verified by GeoPlanThis data is provided 'as is' and its vertical positional accuracy has not been verified by GeoPlan0onLineFlorida Fish and Wildlife Conservation Commission’s Bear Management ProgramThe source data from page 5 (FWC_DOT Underpass Fencing Proposal_FINAL.pdf). XY coordinates converted to feature class and reprojected to EPSG = 3087. Added GOOGLEMAP fields. Upper cased all string fields. Changed field lengths from 255 to appropriate size. Added DESCRIPT based on Street_Name. Added FGDLAQDATE based on date downloaded from source. Changed name to bear_underpasses_dec18.GeoPlan20220323VectorEntity point28NAD 1983 HARN Florida GDL Albers24.031.5-84.024.0400000.00.0coordinate pair0.00010.0001meterD North American 1983 HARNGRS 19806378137.0298.257222101BEAR_UNDERPASSES_DEC18BEAR_UNDERPASSES_DEC18GeoPlanOBJECTIDInternal feature number.ESRISequential unique whole numbers that are automatically generated.DistrictFDOT DistrictProducer Defined35Priority_Levelhe FWC classified each of the 28 potential bridges into one of three categories based on priority, including ‘high’, ‘moderate’, and ‘low’ priority levels based on the bridge’s proximity to the 1 km and 5 km hotspot locations throughout the state. Producer DefinedStreet_NameStreet NameProducer DefinedCountyCounty NameProducer DefinedSHAPEFeature geometry.ESRICoordinates defining the features.LAT_DDLatitude in Decimal DegreesProducer Defined28.874606050000130.472913083LONG_DDLongitude in decimal degreesProducer Defined-85.541326516-81.020452399MGRSMGRS identifierProducer DefinedGOOGLEMAPGoogle map linkProducer DefinedDESCRIPTGeoPlan added field based on Street_NameProducer DefinedFGDLAQDATEDate acquired from source.Producer Defined2022-03-08 00:00:002022-03-08 00:00:00AUTOIDFlorida Geographic Data Library (FGDL)mailing

431 Architecture PO Box 115706

GainesvilleFlorida32611-5706USMailing list for FGDL: http://www.fgdl.org/fgdl-l.htmlFor FGDL Software: http://www.fgdl.org/software.htmlWeb site: http://www.fgdl.orgTechnical Support: http://www.fgdl.org/fgdlfeed.htmlFGDL Frequently Asked Questions: http://www.fgdl.org/fgdlfaq.htmlDOWNLOADABLE DATAThe Florida Geographic Data Library is a collection of Geospatial Data compiled by the University of Florida GeoPlan Center with support from the Florida Department of Transportation. GIS data available in FGDL is collected from various state, federal, and other agencies (data sources) who are data stewards, producers, or publishers. The data available in FGDL may not be the most current version of the data offered by the data source. University of Florida GeoPlan Center makes no guarantees about the currentness of the data and suggests that data users check with the data source to see if more recent versions of the data exist. Furthermore, the GIS data available in the FGDL are provided 'as is'. The University of Florida GeoPlan Center makes no warranties, guaranties or representations as to the truth, accuracy or completeness of the data provided by the data sources. The University of Florida GeoPlan Center makes no representations or warranties about the quality or suitability of the materials, either expressly or implied, including but not limited to any implied warranties of merchantability, fitness for a particular purpose, or non-infringement. The University of Florida GeoPlan Center shall not be liable for any damages suffered as a result of using, modifying, contributing or distributing the materials. A note about data scale: Scale is an important factor in data usage. Certain scale datasets are not suitable for some project, analysis, or modeling purposes. Please be sure you are using the best available data. 1:24000 scale datasets are recommended for projects that are at the county level. 1:24000 data should NOT be used for high accuracy base mapping such as property parcel boundaries. 1:100000 scale datasets are recommended for projects that are at the multi-county or regional level. 1:125000 scale datasets are recommended for projects that are at the regional or state level or larger. Vector datasets with no defined scale or accuracy should be considered suspect. Make sure you are familiar with your data before using it for projects or analysis. Every effort has been made to supply the user with data documentation. For additional information, see the References section and the Data Source Contact section of this documentation. For more information regarding scale and accuracy, see our webpage at: http://geoplan.ufl.edu/education.html20220325Sam Palmerunknown

411 Architecture Building

GainesvilleFl32611n/adata@fgdl.orgFGDC Content Standard for Digital Geospatial MetadataFGDC-STD-001-1998local timeSam Palmern/a411 Architecture BuildingGainesvilleFl32611data@fgdl.org20220325ArcGIS Metadata1.0Florida Geographic Data Library (FGDL)431 Architecture PO Box 115706GainesvilleFlorida32611-5706USFor FGDL Software: http://www.fgdl.org/software.htmlTechnical Support: http://www.fgdl.org/fgdlfeed.htmlFGDL Frequently Asked Questions: http://www.fgdl.org/fgdlfaq.htmlMailing list for FGDL: http://www.fgdl.org/fgdl-l.htmlWeb site: http://www.fgdl.orgDOWNLOADABLE DATAIdentification and Prioritization of Existing Bridges as Potential Wildlife Underpasses for Vehicle-Bear Collision Mitigation in Florida - December 20182018-12-21University of Florida GeoPlan CenterGainesville, FLFlorida Fish and Wildlife Conservation CommissionVector Digital Data Set (Point)State of FloridaThis dataset contains priority bridge locations based on vehicle-bear collisions. The FWC examined the location of vehicle-bear collisions that occurred between 2012 and 2016 to determine where high-density concentrations, or ‘hotspots’, of collisions were consistently occurring to identify specific areas for potential mitigation measures. The FWC used FDOT bridge data to identify all existing bridges within 100 meters of a hotspot. These 350+ bridges were then examined by FWC staff through aerial imagery and the “street view” function on Google Earth to identify those with the potential to become wildlife underpasses. FWC identified 28 bridges statewide with the potential to act as wildlife underpasses in areas where vehicle-bear collisions are common. Many of the bridges identified are near or within wildlife conservation areas. The FWC classified each of the 28 potential bridges into one of three categories based on priority, including ‘high’, ‘moderate’, and ‘low’ priority levels based on the bridge’s proximity to the 1 km and 5 km hotspot locations throughout the state. For more information, please see this report: https://www.geoplan.ufl.edu/agol/pdf/Animal_Vehicle_Collisions/FWC_DOT%20_Underpass_%20Fencing_Proposal_FINAL.pdfThe purpose of this data is to identify and prioritize existing bridges as potential wildlife underpasses to mitigate for Vehicle-Bear Collision.Sam PalmerUniversity of Florida GeoPlan Centern/a411 Architecture BuildingGainesvilleFl32611data@fgdl.orgbiotaISO 19115 Topic CategorybiotaThe Florida Geographic Data Library is a collection of Geospatial Data compiled by the University of Florida GeoPlan Center with support from the Florida Department of Transportation. GIS data available in FGDL is collected from various state, federal, and other agencies (data sources) who are data stewards, producers, or publishers. The data available in FGDL may not be the most current version of the data offered by the data source. University of Florida GeoPlan Center makes no guarantees about the currentness of the data and suggests that data users check with the data source to see if more recent versions of the data exist. Furthermore, the GIS data available in the FGDL are provided 'as is'. The University of Florida GeoPlan Center makes no warranties, guaranties or representations as to the truth, accuracy or completeness of the data provided by the data sources. The University of Florida GeoPlan Center makes no representations or warranties about the quality or suitability of the materials, either expressly or implied, including but not limited to any implied warranties of merchantability, fitness for a particular purpose, or non-infringement. The University of Florida GeoPlan Center shall not be liable for any damages suffered as a result of using, modifying, contributing or distributing the materials. A note about data scale: Scale is an important factor in data usage. Certain scale datasets are not suitable for some project, analysis, or modeling purposes. Please be sure you are using the best available data. 1:24000 scale datasets are recommended for projects that are at the county level. 1:24000 data should NOT be used for high accuracy base mapping such as property parcel boundaries. 1:100000 scale datasets are recommended for projects that are at the multi-county or regional level. 1:125000 scale datasets are recommended for projects that are at the regional or state level or larger. Vector datasets with no defined scale or accuracy should be considered suspect. Make sure you are familiar with your data before using it for projects or analysis. Every effort has been made to supply the user with data documentation. For additional information, see the References section and the Data Source Contact section of this documentation. For more information regarding scale and accuracy, see our webpage at: http://geoplan.ufl.edu/education.htmlFor FDOT Use OnlyFor FDOT Use OnlyVersion 6.2 (Build 9200) ; Esri ArcGIS 10.8.1.14362-85.546045-80.98269628.86557630.472981publication date2018-12-21This data is provided 'as is'. GeoPlan relied on the integrity of the original data layer's topologyThis data is provided 'as is'. GeoPlan relied on the integrity of the original data layer's topologyThis data is provided 'as is' by GeoPlan and is complete to our knowledge.GeoPlan relied on the integrity of the attribute information within the original data.This data is provided 'as is' and its horizontal positional accuracy has not been verified by GeoPlanThis data is provided 'as is' and its vertical positional accuracy has not been verified by GeoPlanThe source data from page 5 (FWC_DOT Underpass Fencing Proposal_FINAL.pdf). XY coordinates converted to feature class and reprojected to EPSG = 3087. Added GOOGLEMAP fields. Upper cased all string fields. Changed field lengths from 255 to appropriate size. Added DESCRIPT based on Street_Name. Added FGDLAQDATE based on date downloaded from source. 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