Simple FALSE 6976 TRUE TRUE HabConnPriorities_Public Feature Class 6976 EcoScoreProtectedMult This attribute reflects application of a multiplier for highway segments within ¼ mi of protected land blocks. When a highway segment is within ¼ mi of such a block, this attribute contains the value of BasedMltpldbyAADTfactor X 2. Points after multiplying for protected lands Double 8 38 8 Netwks6_10win1mi Highway segments within one mile of polygons representing connected habitat networks for a six to ten focal species were selected. A 0 indicates no such networks within the threshold distance and a 1 indicates the presence of a network within the threshold distance. Habitat networks for 6-10 species within 1 mile SmallInteger 2 5 0 GopherState Polygons representing the range of the Mazama Pocket Gopher, where it is state listed, were intersected with the highway system. A 0 indicates the Mazama Pocket Gopher polygon is not within ¼ mile of the highway segment and a 1 indicates the polygon is within ¼ mile of the highway segment. State listed Mazama pocket gopher SmallInteger 2 5 0 Wolverine Polygons representing the range of the Wolverine were intersected with the highway system. A 0 indicates the Wolverine polygon is not within ¼ mile of the highway segment and a 1 indicates the polygon is within ¼ mile of the highway segment. Wolverine SmallInteger 2 5 0 Ntwks6_10winqtrmi Highway segments within one quarter mile of polygons representing connected habitat networks for a six to ten focal species were selected. A 0 indicates no such networks within the threshold distance and a 1 indicates the presence of a network within the threshold distance. Habitat networks for 6-10 species within one quarter mile SmallInteger 2 5 0 WaGrndSquirrel Polygons representing the range of the Washington Ground Squirrel were intersected with the highway system. A 0 indicates the Washington Ground Squirrel polygon is not within ¼ mile of the highway segment and a 1 indicates the polygon is within ¼ mile of the highway segment. Washington Ground Squirrel SmallInteger 2 5 0 Region WSDOT Region two letter abbreviation. WSDOT Region String 2 0 0 StateRouteNumber Three digit state route number. The number assigned to the State Route and enacted into law by the Washington State Legislature State Route String 3 0 0 Netwks2_5win1mi Highway segments within one mile of polygons representing connected habitat networks for two to five focal species were selected. A 0 indicates no such networks within the threshold distance and a 1 indicates the presence of a network within the threshold distance. Habitat networks for 2-5 species within 1 mile SmallInteger 2 5 0 BeginAccumulatedRouteMile The measure of a point at the beginning of a roadway segment along the length of a route in which the distance is measured as an accrual of mileage from the beginning of the route. The Accumulated Route Mile Begin may define the starting point for a business activity or measurement. For example, project location or roadside event. WSDOT Application - DOTS Highway Begin point Double 8 38 8 ColWhiteTailDeer Polygons representing the range of the Columbian White-tailed Deer were intersected with the highway system. A 0 indicates the Columbian White-tailed Deer polygon is not within ¼ mile of the highway segment and a 1 indicates the polygon is within ¼ mile of the highway segment. Columbian white-tailed deer SmallInteger 2 5 0 ListingPts ListingPts is the final value assigned to a highway segment for its proximity to listed species ranges. It is higherarchical so it reflects the highest point value attained from proximity to the ranges one or more listed species. Points for listed species SmallInteger 2 5 0 Ntwks6_10winhalfmi Highway segments within one half mile of polygons representing connected habitat networks for a six to ten focal species were selected. A 0 indicates no such networks within the threshold distance and a 1 indicates the presence of a network within the threshold distance. Habitat networks for 6-10 species within one half mile SmallInteger 2 5 0 EstAADTFactor This is the ecological rank multiplier that gives greater investment priority to highways with higher traffic volumes. High AADT gets a multiplier of 2. Medium AADT gets 1.5 and Low is a multiplier of 1. Multiplier for traffic volume Double 8 38 8 Ntwks1_winqtrmi Highway segments within one half mile of polygons representing connected habitat networks for a single focal species were selected. A 0 indicates no such networks within the threshold distance and a 1 indicates the presence of a network within the threshold distance. Habitat networks for 1 species within one quarter mile SmallInteger 2 5 0 WolfState Polygons representing the range of the gray wolf, where it is state listed, were intersected with the highway system. A 0 indicates the gray wolf polygon is not within ¼ mile of the highway segment and a 1 indicates the polygon is within ¼ mile of the highway segment. State listed Wolf SmallInteger 2 5 0 GrizzlyBear Polygons representing the range of grizzly bear were intersected with the highway system. A 0 indicates grizzly range is not within 1/4 mile of the highway segment and a 1 indicates grizzly range is within 1/4 mile of the highway segment. Grizzly Bear SmallInteger 2 5 0 CorrID The unique three digit numeric identifier given to a corridor. Corridor Sketch Summary Corridor ID Double 8 38 8 MaxRank MaxRank is the highest of the values found in the EcoRank_C and SafeRnk_C fields. It’s useful when an application needs a single representation of a highway segment’s rank for Habitat Connectivity Investments. Highest Rank String 4 0 0 GopherFed Polygons representing the range of the Mazama Pocket Gopher, where it is federally listed, were intersected with the highway system. A 0 indicates the Mazama Pocket Gopher polygon is not within ¼ mile of the highway segment and a 1 indicates the polygon is within ¼ mile of the highway segment. Federally listed Mazama pocket gopher SmallInteger 2 5 0 EstAADT The estimated Annual Average Daily Traffic figure for 2011 for that highway segment. Actual estimated traffic volume Double 8 38 8 IDSRARM A unique identifier for each highway segment: concatenation of RouteID and ARMWhole. Highway segment String 50 0 0 Ntwks2_5winhalfmi Highway segments within one half mile of polygons representing connected habitat networks for two to five focal species were selected. A 0 indicates no such networks within the threshold distance and a 1 indicates the presence of a network within the threshold distance. Habitat networks for 2-5 species within one half mile SmallInteger 2 5 0 Ntwks1win1mi Highway segments within one mile of polygons representing connected habitat networks for a single focal species were selected. A 0 indicates no such networks within the threshold distance and a 1 indicates the presence of a network within the threshold distance. Habitat networks for 1 species within 1 mile SmallInteger 2 5 0 SafetyRank Categories for the Wildlife-related Safety Rank: Low=1, Med=2, and High=3. Wildlife-related Safety Rank String 50 0 0 Ntwks1winhalfmi Highway segments within one mile of polygons representing connected habitat networks for a single focal species were selected. A 0 indicates no such networks within the threshold distance and a 1 indicates the presence of a network within the threshold distance. Habitat networks for 1 species within 1 half mile SmallInteger 2 5 0 NetworktPts Higherarchical score for proximity to focal species networks, with a range from zero to five. Points for proximity to habitat networks SmallInteger 2 5 0 Fisher Polygons representing Fisher range were intersected with the highway system. A 0 indicates a Fisher polygon is not within ¼ mile of the highway segment and a 1 indicates a polygon is within ¼ mile of the highway segment. Fisher SmallInteger 2 5 0 LRSDate The Linear Referencing System date that this record is using for location. Highway data date Date 8 0 0 EndAccumulatedRouteMile The measure of a point at the end of a roadway segment along the length of a route in which the distance is measured as an accrual of mileage from the beginning of the route. The Accumulated Route Mile Begin may define the starting point for a business activity or measurement. For example, project location or roadside event. WSDOT Application - DOTS Highway End point Double 8 38 8 PygmyRabbit Polygons representing the range of the Pygmy Rabbit were intersected with the highway system. A 0 indicates the Pygmy Rabbit polygon is not within ¼ mile of the highway segment and a 1 indicates the polygon is within ¼ mile of the highway segment. Pygmy Rabbit SmallInteger 2 5 0 BaseMltpldbyAADTfactor This is the ecological rank multiplier that gives greater investment priority to highways with higher traffic volumes. Points after multiplying by traffic volume factor Double 8 38 8 Caribou Polygons representing the range of the Woodland Caribou were intersected with the highway system. A 0 indicates the Woodland Caribou polygon is not within ¼ mile of the highway segment and a 1 indicates the polygon is within ¼ mile of the highway segment. Woodland Caribou SmallInteger 2 5 0 BigGame Polygons of the combined habitat ranges for big game species: northwest white-tailed deer, moose, elk, bighorn sheep, mule deer, and black bear. A 0 indicates the big game habitat polygon is not within ¼ mile of the highway segment and a 1 indicates the polygon is within ¼ mile of the highway segment. Big game range SmallInteger 2 5 0 WGraySquirrel Polygons representing the range of the Western Gray Squirrel were intersected with the highway system. A 0 indicates the Western Gray Squirrel polygon is not within ¼ mile of the highway segment and a 1 indicates the Polygons representing the range of the Western Gray Squirrel were intersected with the highway system. A 0 indicates the Western Gray Squirrel polygon is not within ¼ mile of the highway segment and a 1 indicates the polygon is within ¼ mile of the highway segment. Western Gray Squirrel SmallInteger 2 5 0 Shape Feature geometry ESRI Coordinates defining the features. Shape Geometry 4 0 0 OBJECTID Internal feature number. ESRI Sequential unique whole numbers that are automatically generated. OBJECTID OID 4 10 0 LscpIntegrity Landscape integrity polygon. A 0 indicates the landscape integrity polygon is not within ¼ mile of the highway segment and a 1 indicates the polygon is within ¼ mile of the highway segment. Landscape Integrity SmallInteger 2 5 0 ProtectedLands Highway segment within ¼ mi of polygons greater than 500 ac in size representing the combined extent of lands protected for wildlife habitat values, both public and private. A 0 represents no such lands within a quarter mile. A 1 indicates occurrence of such blocks of land within ¼ mi. Proximity to protect land block SmallInteger 2 5 0 OrSpottedFrog Polygons representing the range of the Oregon Spotted Frog were intersected with the highway system. A 0 indicates the Oregon Spotted Frog polygon is not within ¼ mile of the highway segment and a 1 indicates the polygon is within ¼ mile of the highway segment. Polygons representing Oregon Spotted Frog Critical Habitat were intersected with the highway system. A 0 indicates the Oregon Spotted Frog polygon is not within ¼ mile of the highway segment and a 1 indicates the polygon is within ¼ mile of the highway segment. Oregon Spotted Frog SmallInteger 2 5 0 RouteIdentifier A unique Route identifier to identify a route (City,County State, Tribal, Forest) in any given data set. For State Routes, Route IDs are assigned by WSDOT's GIS and Roadway Data Office WSDOT Application - DOTS State Route String 75 0 0 WolfFed Polygons representing the range of the gray wolf, where it is federally listed, were intersected with the highway system. A 0 indicates the gray wolf polygon is not within ¼ mile of the highway segment and a 1 indicates the polygon is within ¼ mile of the highway segment. Federally listed Wolf SmallInteger 2 5 0 Lynx Polygons representing the range of Canada Lynx were intersected with the highway system. A 0 indicates lynx range is not within 1/4 mile of the highway segment and a 1 indicates lynx range is within 1/4 mile of the highway segment. Canada Lynx SmallInteger 2 5 0 EcoRank Categories for Ecological Stewardship Rank: None=0 Low=1, Med=2, and High=3. Ecological Stewardship Rank String 50 0 0 BasePts Base pts contains the sum of points accrued for the hierarchical scoring of listed species/landscape integrity and the hierarchical scoring of proximity to focal species habitat networks. Total Base Points SmallInteger 2 5 0 GlobalID GlobalID GlobalID 38 0 0 Ntwks2_5winqtrmi Highway segments within one mile of polygons representing connected habitat networks for two to five focal species were selected. A 0 indicates no such networks within the threshold distance and a 1 indicates the presence of a network within the threshold distance. Habitat networks for 2-5 species within one quater mile SmallInteger 2 5 0 Shape.STLength() Shape.STLength() Double 0 0 0 ESO GIS Data Administrator WSDOT Environmental Services Office ESO GIS Data Administrator 360-705-7476 P.O. Box 47331 Olympia WA 98504-7331 US 20220927 ArcGIS Metadata 1.0 Jordyn Mitchell Washington State Department of Transportation, Office of Information Technology GIS Database Administrator 360-705-7645 PO Box 47430 Olympia WA 98504-7430 US mitchejo@wsdot.wa.gov Feature Class Habitat Connectivity Investment Priorities Public Washington State Department of Transportation (WSDOT), Environmental Services Office (ESO) vector digital data Habitat Connectivity Investment Priorities are represented by two completely independent ranks, Ecological Stewardship and Wildlife-related Safety, and a third, Maximum Rank, that is simply the highest value found in Ecological Stewardship and Wildlife-related Safety ranks. These ranks were developed for the state highway system by 1-mile highway segment. The Ecological Stewardship rank reflects a highway segment’s overlap with the ranges of select Endangered or Threatened wildlife and its proximity to connected networks of habitat identified by the Washington Habitat Connectivity Working Group. The listed species selected for inclusion in the ranking process were those species known to be most affected by highways, either due to road mortality or behavioral avoidance or both. Lacking overlap with listed species’ ranges, a base score could still be given to highway segments that overlapped an area of high landscape integrity as identified by the Washington Habitat Connectivity Working Group (WHCWG). If a base score for any of these factors was assigned, rank values were then subject to multipliers for traffic volume and nearby blocks of public land. Highways that carry greater traffic volumes generally have a greater harmful effect on wildlife, both in terms of mortality and the barrier effect caused by behavioral avoidance. Protected lands (many public lands and private lands held in preserves or under protective easements) tend to offer a stable habitat base into the distant future and WSDOT investments in durable infrastructure are more likely to have long term benefits where public lands are present on one or both sides of the highway. The Safety Rank is a reflection of carcass removal and wildlife collision rates or simple overlap with the range of one of Washington’s larger wild animals. Identified carcass removal or collision problem areas were given higher numerical ranks than areas within the ranges of species but without a documented problem. The Maximum Rank is simply the highest of the other two ranks. Rankings updated in January 2018. The Habitat Connectivity Investment Priorities layer establishes High, Medium, and Low priority ranks for Ecological Stewardship and Wildlife-related Safety for the entire state highway system, by one mile segment, for consideration in Corridor Planning, Environmental Retrofit project identification, and Safety and Mobility projects. WSDOT ESO Fish and Wildlife Program Kelly McAllister WSDOT ESO Fish and Wildlife Program Habitat Connectivity Biologist 360-705-7426 P.O. Box 47331 Olympia WA 98504-7331 US McAllKe@wsdot.wa.gov WA Washington State wildlife habitat connectivity WA Washington State wildlife habitat connectivity See access and use constraints information. Before being authorized to access this dataset, users will be required to affirm that they have viewed the contents and agree to comply with the guidance contained in "The Wildlife Carcass Removal Database", a series of Power Point images that explain the background and limitations of the database. Pursuant to federal law, these data shall not be subject to discovery or admitted into evidence in a court proceeding or considered for other purposes in any action for damages arising from any occurrence at a location mentioned herein (23 USC 409). Pursuant to federal law, these data shall not be subject to discovery or admitted into evidence in a court proceeding or considered for other purposes in any action for damages arising from any occurrence at a location mentioned herein (23 USC 409). Pursuant to federal law, these data shall not be subject to discovery or admitted into evidence in a federal or state court proceeding or considered for other purposes in any action for damages arising from any occurrence at a location mentioned herein (23 USC 409). Version 6.2 (Build 9200) ; Esri ArcGIS 10.7.1.11595 -124.674937 -116.861308 45.504776 49.042695 publication date 2018-02-06 These investment priority ranks should not be considered a final determination of the suitability or practicality of making investments in improving conditions for wildlife at specific locations. GIS data layers are imperfect and conditions change. Some species ranges were based on habitat connectivity models that use least cost path methods to identify the best connections between suitable habitats. In areas that are heavily developed or altered from native habitat conditions, the “best” paths can turn out to be impractical to restore to conditions that are suitable for the target wildlife. This needs to be considered on a case-by-case basis as the Habitat Connectivity Investment Priorities system is applied to on-the-ground projects. Because of the imperfections inherent in our GIS analysis and data, biologists and others who use these data must review the parameters that contributed to the final rank of any area being considered for connectivity investments. This includes review of the species whose ranges overlapped with the area of interest and, for the safety rank, review of the most current carcass removal or collision data. Similarly, land ownership and the habitat suitability and long term stability of habitat conditions should be verified where public lands occur near the highway. Consideration should also be given to traffic volumes and their potential to increase or decrease, potentially having an effect on the area’s rank. Additionally, protected land blocks were only considered if they were >5,000 ac in size and within one quarter mile of the highway. There are likely situations where habitat connectivity investments should be a high priority despite public lands being somewhat more distant from the highway. For example, this might be the case where private lands lying between the highway and public land are industrial forest land. Some types of private land tend to be suitable for wildlife movements and their suitability may have a high probability of persisting into the foreseeable future. Safety ranks can reflect similar problems of omission, particularly where carcass removals may not be reported as rigorously as in other areas. Also, State Patrol collision records don’t distinguish moose collisions from other collisions with wildlife. Since highway segments with relatively few moose collisions get a high Safety Rank, this is an important omission in the collision data and we are completely dependent on carcass removals to identify these important safety areas. This Non-Sensitive version does not include the sensitive carcasss removal and collision attributes that where included in the safety ranking. 1 -124.674937 -116.861308 49.042695 45.504776 Last metadata review date: 20180206 The previous description of the processes used to create the original Habitat Connectivity Investment Priorities data layer includes comments about changes made during a January 2018 update. In addition to those changes noted above (changes to the extent of protected lands, inclusion of proximity to focal species habitat networks, and the date of the AADT data), there were other changes. The Fisher, a state-listed Endangered species that had been reintroduced to the state, was included by joining its historic range in the Olympic and Cascade mountains to highway segments. A range expansion of Gray Wolves into the Blue Mountains was also added by joining the new range to highway segments. The Columbian white-tailed deer had been translocated to the Ridgefield National Wildlife Refuge north of Vancouver and a habitat connectivity model of connected suitable habitat was substituted for the old, more restricted range. This new, much wider range was also joined to highway segments. The Wildlife-related Safety Rank was completely redone using 2012-2016 carcass removal and collision data summarized by one mile highway segment. 2018-01-01 The Habitat Connectivity Investment Priorities layer provides high, medium, and low Safety and Ecological Stewardship habitat connectivity priority ranks for 1-mile highway segments. The ranks were derived from an analysis of base layer factors that occurred within ¼ mile of highway segments. The Safety rank base layer factors include, a union of the habitat ranges for deer, elk, moose, bighorn sheep, and black bear and the number of wildlife-vehicle collisions and carcass removals for these species. The Ecological Stewardship rank base layer factors include, a union of the habitat ranges of select Endangered Species Act (ESA) Federal listed endangered, threatened, or candidate species and ESA State listed endangered or threatened species, public land, Washington Habitat Connectivity Working Group’s landscape integrity layer, and estimated Average Annual Daily Traffic (AADT) counts. The base layers were created from a variety of GIS data sources. All of the base layers were projected to NAD 1983 HARN State Plane WA South (US feet), converted to polygons when needed, and clipped to the State boundary as necessary. Base layers were joined to highway segments that were buffered ¼ mile on both sides. Base layers that required additional processing are as follows: One mile highway segments centered on whole ARM values were created from WSDOT’s State Highway Log (2012). ARM values were entered in Excel spreadsheets and mapped using Display Route Events tool with 1:24K increasing state routes reference. The line segments were merged into one layer and buffered by ¼ mile on both sides. The public lands layer was created by merging DNR's ‘All Major Public Lands’ and ‘Federal Lands’ layers. All categories for ‘All Major Public Lands’ were selected except medical facility, public school lands, and incorporated city. The public lands layer was edited to remove areas that were already developed or had high potential for development. Public land polygons less than 5,000 acres in size were deleted. The remaining blocks of public lands were split by the state highways. After splitting, public land polygons that were less than 500 acres in size were deleted. Grizzly bear and gray wolf habitat ranges for the Ecological Stewardship rank were derived from the U.S. Forest Service Carnivore Landscape Permeability ‘Least Cost Analysis’ and ‘Potential Movement from Source Habitat’ layers. Grizzly bear range was a union of Habitat Concentration Areas, the best 50% least cost paths (1 through 5 levels) from the ‘Least Cost Analysis’ layer, and 100 km buffer (1 level) from the ‘Potential Movement from Source Habitat’ layer. Gray wolf range was a union of Habitat Concentration Areas, the best 30% least cost paths (1, 2, and 3 levels) from the ‘Least Cost Analysis’ layer, and 100 km buffer (1 level) from the ‘Potential Movement from Source Habitat’ layer. The gray wolf polygon was split by SR 97/SR 17 and the western polygon was used for Federal ESA listed habitat range. The entire polygon represents the State ESA listed range. Mazama pocket gopher habitat range for the Ecological Stewardship rank was created by digitizing polygons of known locations from WDFW's 2012 population surveys and suitable soils from NRCS for Thurston, Pierce, and Mason Counties. GAP distribution was used for Clallam County. Wildlife-vehicle collision and carcass removals for each species were summarized on the whole Accumulated Route Mileage (ARM) value for each highway segment. The frequency of vehicle collisions and carcass removals for each species were joined to the buffered highway segment layer using the unique identifier field, IDSRARM. AADT was derived from the 2011 Traffic Sections Estimated AADT layer. Increasing records were selected and exported to a new layer. The AADT polylines were spatially joined to the highway segment buffers. 2012-01-01 WSDOT ESO Fish and Wildlife Program P.O. Box 47331 Olympia WA 98504-7331 This dataset contain polygons which define mazama pocket gopher habitat ranges. The habitat ranges are based on WDFW Polygons and Points for occupied gopher habitat, detection points from WDFW field surveys (2012), and suitable soils from U.S. Department of Argriculture Natural Resources Conservation Service (NRCS). Mazama Pocket Gopher Habitat Range Mazama Pocket Gopher Habitat Range 2013-03-19 Washington State Department of Transportation vector digital data This dataset contains a five year summary (2012-2016) of carcass removal data for Washington State highways. Vector points centered on the nearest whole Accumulated Route Mileage (ARM) value summarize frequencies of carcass removals for deer, elk, moose, bear, and bighorn sheep. WSDOT Wildlife Carcass Removal Database Five-year Summary WSDOT Wildlife Carcass Removal Database Five-year Summary Washington State Department of Transportation vector digital data This is a raster dataset of the habitat concentration areas (HCAs) and best linkages between HCAs for focal species in the Columbia Plateau Ecoregion analysis. This data was used to represent the habitat ranges for Washington ground squirrel. Binary Networks, Washington Connected Landscape Project: Analyses of the Columbia Plateau Ecoregion Binary Networks, Washington Connected Landscape Project: Analyses of the Columbia Plateau Ecoregion WHCWG raster digital data http://waconnected.org/columbia-plateau-ecoregion/ This is a raster dataset of habitat concentration areas (HCAs) and the best linkages between HCAs based on least cost analysis and potential movement for large carnivore species in Washington State. This data was used to represent the habitat ranges for grizzly bear and gray wolf, for the derivation of the Ecological Stewardship rank. Carnivore Landscape Permeability, US Forest Service Carnivore Landscape Permeability, US Forest Service U.S. Forest Service raster digital data This is a raster dataset representing landscape areas that have little human modification Landscape Integrity, Washington Connected Landscapes Project: Statewide Analysis Landscape Integrity, Washington Connected Landscapes Project: Statewide Analysis The Washington Wildlife Habitat Connectivity Working Group (WHCWG) raster digital data http://waconnected.org/statewide-analysis/ This is a vector polygon dataset of public lands in Washington State 100 Major Public Lands, Washington State Department of Natural Resources (DNR) Major Public Lands, Washington State Department of Natural Resources (DNR) Washington State Department of Natural Resources vector digital data These data identify, in general, the areas of FINAL critical habitat for Rana pretiosa (Oregon Spotted Frog). Maps published in the Federal Register 2016. This is a raster dataset of focal species habitat concentration areas (HCAs) and best linkages between HCAs from the Washington Connected Landscapes Project: Statewide Analysis. This data was used to represent the habitat ranges for elk, bighorn sheep, mule deer, black bear, Canada lynx, wolverine, and western gray squirrel. Narrow Network, Washington Connected Landscapes Project: Statewide Analysis Narrow Network, Washington Connected Landscapes Project: Statewide Analysis WHCWG raster digital data http://waconnected.org/statewide-analysis/ This vector polyline dataset represents the increasing side of the highway mileposting. 24 State Routes of Washington State 1:24,000 (2012), Routes in the Increasing Direction State Routes of Washington State 1:24,000 (2012), Routes in the Increasing Direction WSDOT vector digital data These data identify, in general, the areas of FINAL critical habitat for Rana pretiosa (Oregon Spotted Frog). Maps published in the Federal Register 2016. This dataset contains polygons of suitable wildlife habitat areas where species are predicted to occur. This dataset was used for the woodland caribou habitat range. 24 Traffic Sections 2011, Washington State Department of Transportation Statewide Travel and Collision Data Office Traffic Sections 2016, Washington State Department of Transportation Statewide Travel and Collision Data Office WSDOT vector digital data This dataset contains a five year summary (2012-2016) of wildlife-vehicle collision data for Washington State highways. Vector points centered on the nearest whole ARM value summarize frequencies of vehicle collisions with deer and elk. WSDOT Wildlife-Vehicle Collision Database, Multi-year Summary WSDOT Wildlife-Vehicle Collision Database, Multi-year Summary Washington State Department of Transportation (WSDOT) vector digital data This polygon vector dataset describes the occurrence of priority habitats and species. The habitat ranges for moose and northwest white-tailed deer were used in derivation of the Wildlife-related Safety rank. The pygmy rabbit range was used in the derivation of the Ecological Stewardship rank. 24 Priority Habitats and Species (PHS) Polygons Priority Habitats and Species (PHS) Polygons Washington Department of Fish and Wildlife (WDFW) vector digital data This dataset contains polygons of suitable wildlife habitat areas where species are predicted to occur. This dataset was used for the woodland caribou habitat range. USGS Gap Analysis Program Species Distribution Models USGS Gap Analysis Program Species Distribution Models USGS National Gap Analysis Program (GAP) vector digital data http://gapanalysis.usgs.gov/data/species 20220923 16110500 1.0 100 24 HabConnPriorities_Public 637234.667106 2514549.616865 87414.604162 1353168.837084 1 002 Projected GCS_North_American_1983_HARN Linear Unit: Foot_US (0.304801) NAD_1983_HARN_StatePlane_Washington_South_FIPS_4602_Feet <ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' 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