In 2008, the Quality Deer Management Association (QDMA) developed a map of white-tailed deer density with information obtained from state wildlife agencies. The map contains information from 2001 to 2005, with noticeable changes since the development of the first deer density map made by QDMA in 2001. The University of Minnesota, Forest Ecosystem Health Lab and the US Department of Agriculture, Forest Service-Northern Research Station have digitized the deer density map to provide information on the status and trends of forest health across the eastern United States. The QDMA spatial map depicting deer density (deer per square mile) was digitized across the eastern United States. Estimates of deer density were: White = rare, absent, or urban area with unknown population, Green = less than 15 deer per square mile, Yellow = 15 to 30 deer per square mile, Orange = 30 to 40 deer per square mile, or Red = greater than 45 deer per square mile. These categories represent coarse deer density levels as identified in the QDMA report in 2009 and should not be used to represent current or future deer densities across the study region. Sponsorship: Quality Deer Management Association; US Department of Agriculture, Forest Service-Northern Research Station; Minnesota Agricultural Experiment Station. Resources in this dataset:Resource Title: Link to DRUM catalog record. File Name: Web Page, url: https://conservancy.umn.edu/handle/11299/178246

The Selkirk White-tailed Deer Management Zone (WDMZ) is home to the largest population of white-tailed deer in the state and consists of seven Game Management Units (GMU; GMUs 105, 108, 111, 113, 117, 121, and 124) located in northeast Washington. Aside from the southern portion of GMU 124, dominated by the metropolitan area of Spokane, Washington, most of these GMUs have similar rural characteristics. Private landowners manage most of the Selkirk WDMZ (77 percent), primarily for commercial timber harvest. The U.S. Forest Service manages 16 percent of the land, and the U.S. Fish and Wildlife Service, Department of Natural Resources, and Bureau of Land Management manage the remaining 7 percent. White-tailed deer used in this analysis were captured on their winter range in GMUs 117 and 121, where the habitat consists of conifer forest (65 percent of the total land cover within the area) and shrub land. Grassland, pasture, and cultivated crops make up the next highest land cover types (altogether comprising nearly 21 percent of the Selkirk WDMZ). Agriculture in the valley supports high densities of deer adjacent to U.S. Highway 395, which bisects the Selkirk WDMZ from north to south. This white-tailed deer population experiences some of the highest rates of deer-vehicle collisions in the state (Myers and others 2008; G. Kalisz, Washington Department of Transportation, written commun.). Currently, there are no crossing mitigations in place along U.S. Highway 395 and State Route 20 to curtail collisions with wildlife. Other wildlife-human management challenges for this herd include mitigating crop damage complaints, maximizing hunting opportunity, and encroaching human development on the deer’s winter range. These mapping layers show the location of the migration corridors for White-Tailed Deer (odocoileus virginianus) in the Selkirk population in Washington. They were developed from 121 migration sequences collected from a sample size of 43 animals comprising GPS locations collected every 4 hours.

Digital map to show harvest totals by town for White-tailed Deer from 2005-present

NJ Division of Fish & Wildlife (DFW) manages deer herd in New Jersey through the use of deer management zones (DMZ). The Division, under authority of the Fish and Game Council designates these boundaries. Deer Management Zone boundaries are comprised of major and minor roads, waterways and geographic formations. Included for references are the county and township data. DMZs are updated on an as needed basis. New Jersey's deer herd is a major component of the landscape throughout all but the most urbanized areas of the state. Deer affect our forests, farms, gardens, backyards and roadways. From a population reduced to a handful of deer in the early 1900s they rebounded during the 20th Century to a thriving herd today. A healthy deer herd, managed at levels that are compatible with current land use practices and the human population, has great value to the people of the state. Deer are photographed, watched and hunted by many in New Jersey and visitors from elsewhere. Deer hunters spend more than 100 million dollars each year as they enjoy approximately 1.5 million recreation-days hunting deer. Money spent in the course of deer hunting benefits a wide variety of New Jersey businesses. Please visit http://www.njfishandwildlife.com/ for more information and detailed instructions pertaining to permit/license issues.

Total harvest by town for White-tailed Deer from 2005-present

The Area 7 mule deer population is one of the state’s largest deer herds with an estimated population of about 11,000 in 2019. This deer herd is highly important to Nevada from an economic and ecological perspective. It’s one of the longest distance deer migrations in the state of Nevada with some animals known to migrate over 120 miles during a single migration. A subset of this population, known as the “Pequop” herd, crosses a major highway (US highway 93) and an interstate (Interstate-80) twice annually during their seasonal migration. Several million dollars in wildlife crossing structures have been constructed to help these deer during their migration, yet they still face challenges to connectivity between winter and summer ranges including miles of livestock fencing and a large-scale gold mine operation in close proximity a large stop-over site near Long Canyon. Winter range for this deer herd occurs primarily along the east side of the Pequop Mountains from Sixmile Creek to Ninemile Canyon. The largest stopovers occur along the west side of Snake Mountains near Tabor Creek, Antelope Peak and Bishop Creek areas, north and south of Interstate 80 near Pequop Summit, and the Sixmile Creek to Long Canyon area in the Pequop Mountains. Summer range for this herd primarily occurs between the Owyhee and Bruneau Rivers east of Wildhorse Reservoir. These data provide the location of migration routes for mule deer (Odocoileus hemionus) in the Pequop Mountains, Nevada. They were developed from Brownian bridge movement models (Sawyer et al. 2009) using 218 migration sequences collected from a sample size of 79 animals comprising GPS locations collected every 1-25 hours.

The PA Department of Conservation and Natural Resources (DCNR) and PA Game Commission (PGC) have teamed up to create an interactive map specifically for hunters. Collectively, State Forest Land and Gamelands comprise over 3.7 million acres of public forest open to hunting in Pennsylvania. Hunters can use this map to:View public forests open to hunting.Search hunting seasons and bag limits across different parts of the state.Display hunting hours (starting/ending times) across different parts of the state.Add personal GPS data to the map (waypoints and tracklogs).View different types of wildlife habitat across public forest lands, including mature oak forests, meadows, food plots, openings, winter thermal (coniferous) cover, and young aspen forest.See where recent timber harvests have occurred on public forest lands.Get deer management assistance program (DMAP) information for state forest lands.Add map layers associated with chronic wasting disease (CWD).Identify where bear check stations are located and get driving directions.Display the elk hunting zones and get information about them.Get the location of gated roads opened for hunters on public forest lands and when those gates will be opened.Analyze graphs and trends in antlerless/antlered deer harvests and antlerless license allocations from 2004 to the present.

The project leads for the collection of this data were Sara Holm with California Department of Fish and Wildlife and Mike Cox with Nevada Department of Wildlife. Carl Lackey and Cody Schroeder of the Nevada Department of Wildlife and Julie Garcia of California Department of Fish and Wildlife also contributed to the completion of the mapping and project. The Loyalton mule deer herd winters west and northwest of Reno, Nevada along the California-Nevada border. Winter ranges for this herd are distributed across the Sierra Nevada foothills near Loyalton, California, extending into the Peterson Mountains, east of Highway 395 in Nevada. A portion of the herd also winters north of Interstate 80 on Peavine Mountain in Nevada. This population segment represents part of an interstate migratory herd but also has some non-migratory deer that are year-round residents in both states. From their winter ranges, deer generally migrate southwest into the Sierra Nevada Mountains of California, staying north of I-80 and into the Tahoe National Forest. The summer range for this herd is distributed in the mid to higher elevations of the Sierra on both sides of Highway 89 from Truckee to Sierraville, California. Significant challenges include urban development, vehicle collisions on both Highway 89 and 395, and large-scale wildfires that have burned a major portion of winter ranges in both California (2007 Balls Canyon, 2009 Mart, 2020 Loyalton Fire) and Nevada (2008 Peterson, 2013 Red Rock Fires). A large wildlife crossing structure was installed by California Department of Transportation and CDFW on Highway 89 to mitigate some of the impacts from vehicle collisions for this herd. Thirty-six mule deer were captured from 2006 to 2017. Between 8 and 24 location fixes were recorded per day. To improve the quality of the data set as per Bjørneraas et al. (2010), the GPS data were filtered prior to analysis to remove locations which were: i) further from either the previous point or subsequent point than an individual deer is able to travel in the elapsed time, ii) forming spikes in the movement trajectory based on outgoing and incoming speeds and turning angles sharper than a predefined threshold , or iii) fixed in 2D space and visually assessed as a bad fix by the analyst.The methodology used for this migration analysis allowed for the mapping of winter ranges and the identification and prioritization of migration corridors in a single deer population. Brownian Bridge Movement Models (BBMMs; Sawyer et al. 2009) were constructed with GPS collar data, including location, date, time, and average location error as inputs in Migration Mapper. Thirty-one deer contributing 76 migration sequences were used in the modeling analysis. Corridors and stopovers were prioritized based on the number of animals moving through a particular area. BBMMs were produced at a spatial resolution of 50 m using a sequential fix interval of less than 27 hours. Winter range analyses were based on data from 31 individual deer and 62 wintering sequences using a fixed motion variance of 1000. Winter range designations for this herd would likely expand with a larger sample, filling in some of the gaps between winter range polygons in the map. Large water bodies were clipped from the final outputs.Corridors are visualized based on deer use per cell, with greater than or equal to 1 deer, greater than or equal to 3 deer (10% of the sample), and greater than or equal to 6 deer (20% of the sample) from the Loyalton dataset representing migration corridors, moderate use, and high use corridors, respectively. Stopovers were calculated as the top 10 percent of the population level utilization distribution during migrations and can be interpreted as high use areas. Stopover polygon areas less than 20,000 m2 were removed, but remaining small stopovers may be interpreted as short-term resting sites, likely based on a small concentration of points from an individual animal. Winter range is visualized as the 50th percentile contour of the winter range utilization distribution.

The Loyalton mule deer (Odocoileus hemionus) herd winters west and northwest of Reno, Nevada along the California-Nevada border, extending into the Peterson Mountains, east of Highway 395 in Nevada. A portion of the herd also winters north of I-80 on Peavine Mountain in Nevada. This population represents an interstate migratory herd but also contains year-round residents in both states. Deer migrate southwest into the Sierra Nevada Mountains of California on both sides of Highway 89 from Truckee to Sierraville, mostly staying north of I-80 and into the Tahoe National Forest. Significant challenges include urban development, vehicle collisions on Highways 89, 395, and I80, and large-scale wildfires that have burned winter ranges in both states. Three Highway 89 wildlife crossing structures were installed by California Department of Transportation and the Highway 89 Stewardship Team at Kyburz Flats and two at Sagehen Summit to mitigate impacts from vehicle collisions. These data provide the location of migration routes for mule deer in the Loyalton population in California and Nevada. They were developed from 76 migration sequences collected from a sample size of 31 animals comprising GPS locations collected every 1-3 hours.

Chronic Wasting Disease (CWD) is a fatal, contagious, neuro-degenerative disease affecting multiple members of the Family Cervidae. First detected in 1967, the disease has, to-date, been documented in free-ranging and/or captive cervid populations in 24 states, two Canadian provinces, the Republic of South Korea, and Norway. The USGS National Wildlife Health Center (NWHC) tracks changes to the known distribution of CWD in the form of a map (available on the NWHC website).

The Wenatchee Mountains mule deer herd inhabits a matrix of private and public lands along the eastern slope of the Cascade Range in Chelan and Kittitas Counties in Washington (fig. 24). Historically, the Wenatchee Mountains mule deer herd was separated into two subherds, Chelan and Kittitas; however, recent GPS collar data indicated the mule deer south of U.S. Highway 2 and north of Interstate 90 represent one population. Their high-use winter range extends along the foothills west and south of Wenatchee, Washington and throughout the foothills of the Kittitas Valley near Ellensburg. Their low-use winter range occurs along the foothills west of the Columbia River north of Interstate 90. In the spring, migratory individuals travel west into the Wenatchee Mountains to their summer range, which includes regional wilderness areas. Between 2020 and 2021, collaring efforts focused on the foothills near Wenatchee and in the surrounding foothills near Ellensburg. Collar data analysis indicated the Wenatchee Mountains mule deer population is partially migratory. A high proportion of migratory individuals inhabit the northern winter range of the Wenatchee Mountains, and resident individuals more commonly inhabit the foothills of the Kittitas Valley. In 2022, collaring efforts of mule deer (n=25) in the northern winter range foothills near Wenatchee targeted the higher proportion of the migratory population, to more clearly identify the movement corridors intersecting U.S. Highway 97 near Blewett Pass. The herd has several challenges, including the increasing frequency of large-scale wildfires and residential developments, which continue to degrade and reduce available winter habitat. Disturbance from human recreation on the winter range continues to be a concern. Additionally, U.S. Highway 97 and State Route 970 receive high volumes of traffic in the region and present semipermeable barriers to spring and fall migration. These mapping layers show the location of the migration routes for mule deer (Odocoileus hemionus) in the Wenatchee population in Washington. They were developed from 184 migration sequences collected from a sample size of 59 animals comprising GPS locations collected every 4 hours.

U.S. Census Bureau QuickFacts statistics for Deer Park city, Ohio. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.

description: This database contains GIS datasets representing the distribution of mule deer habitat throughout the United States and Canada (Alberta and Saskatewan only). Mule deer habitat is divided into 6 separate GIS layers corresponding to 6 types of mule deer habitat: 1)limited range, 2) summer range, 3) other important habitat, 4) winter range, 5) winter concentration, and 6) year-round population. Information on mule deer limiting factors associated with each habitat type is provided within the GIS datasets. Habitat delineations were identified through a Delphi process on a state-by-state basis and were subsequently tablet-digitized from 1:250,000 scale maps.; abstract: This database contains GIS datasets representing the distribution of mule deer habitat throughout the United States and Canada (Alberta and Saskatewan only). Mule deer habitat is divided into 6 separate GIS layers corresponding to 6 types of mule deer habitat: 1)limited range, 2) summer range, 3) other important habitat, 4) winter range, 5) winter concentration, and 6) year-round population. Information on mule deer limiting factors associated with each habitat type is provided within the GIS datasets. Habitat delineations were identified through a Delphi process on a state-by-state basis and were subsequently tablet-digitized from 1:250,000 scale maps.

Most of the Southeast mule deer herd winters along the Owyhee River in regions containing sagebrush communities and Columbia Basin grassland mixed with non-native annual grasslands. These mule deer either migrate west to summer ranges on Road Canyon and Gravel Ridges or east to the Owyhee Mountains along the Idaho border, with one mule deer migrating as far as Bald Mountain, 38.3 mi (61.6 km) into Idaho. Summer ranges feature shrubland, Columbia Basin grasslands, western juniper, and evergreen forests. In 2014, the Buzzard Complex fires burned 398,596 acres (161,306 ha), including Road Canyon, allowing medusahead and other non-native grasses to invade areas with originally low perennial plant abundance. Five mule deer winter separately near U.S. Route 95, in areas containing higher percentages of western juniper. In the spring, they travel southeast into Nevada to summer on the Santa Rosa Range, with one mule deer migrating to the Tuscarora Mountains. Of the Southeast mule deer that were tracked for at least 100 days, 82 percent migrate seasonally, with several moving to summer ranges in different states, complicating issues of population management. The Southeast mule deer herd faces several challenges, including highways and the low abundance of preferred browse. The northeastern section of U.S. Route 95 had an AADT value of 2,007 vehicles in 2018 and intersects multiple migration corridors, with mule deer commonly crossing the highway along Succor Creek and Rock Creek Flat. In summer, Southeast mule deer spend more time in riparian zones and must compete with grazing cattle in the Owyhee Mountains for high-quality forage during drought years when natural water sources evaporate. These mapping layers show the location of the migration corridors for mule deer (Odocoileus hemionus) in the Southeast population in Oregon. They were developed from 140 migration sequences collected from a sample size of 37 animals comprising GPS locations collected every 5−13 hours.

description: This database contains GIS datasets representing the distribution of mule deer habitat throughout the United States and Canada (Alberta and Saskatewan only). Mule deer habitat is divided into 6 separate GIS layers corresponding to 6 types of mule deer habitat: 1)limited range, 2) summer range, 3) other important habitat, 4) winter range, 5) winter concentration, and 6) year-round population. Information on mule deer limiting factors associated with each habitat type is provided within the GIS datasets. Habitat delineations were identified through a Delphi process on a state-by-state basis and were subsequently tablet-digitized from 1:250,000 scale maps.; abstract: This database contains GIS datasets representing the distribution of mule deer habitat throughout the United States and Canada (Alberta and Saskatewan only). Mule deer habitat is divided into 6 separate GIS layers corresponding to 6 types of mule deer habitat: 1)limited range, 2) summer range, 3) other important habitat, 4) winter range, 5) winter concentration, and 6) year-round population. Information on mule deer limiting factors associated with each habitat type is provided within the GIS datasets. Habitat delineations were identified through a Delphi process on a state-by-state basis and were subsequently tablet-digitized from 1:250,000 scale maps.