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.

Get information about the number of deer harvested in Massachusetts across wildlife management zones and hunting seasons.

This layer shows critical winter and summer ranges, fall holding areas, and fawning grounds for deer (Odocoileus hemionus) in CDFG Region 1 (Shasta, Tehama, Lassen, Modoc, Siskiyou, Trinity, and Humboldt Counties). CDFG Wildlife Biologists compiled these data in the 1970s as part of a project to identify Areas of Significant Biological Importance (Jones and Stokes 1979). This project required unit biologists to delineate natural resource boundaries and features on USGS 7.5' and 15' quadrangle maps. Deer range designations were based on biotelemetry studies, personal knowledge, and predicted use of habitats. These data were subsequently digitized to produce this dataset. The purpose of this dataset is to provide general information on the distribution of important deer ranges in Northern California. Range designations may not be current due to anthropogenic impacts or lack of data regarding the locations of seasonal ranges used by deer. CDFG should be consulted for current site-specific information on the designation or usage of seasonal ranges by deer. These maps have not been updated using current GPS techniques and may not include important corridors, reproductive areas, or other ranges important to deer populations. Critical deer winter range can include corridors essential for movement, staging areas where deer temporarily congregate, habitats containing high quality winter forage, or other elements important to the survival of deer in winter. Winter ranges are generally at lower elevations and are far less abundant than summer ranges making them vulnerable to human impacts and often a limiting factor in populations. Deer from different summer ranges may share a common winter range where breeding typically occurs. This mixing of genes on winter ranges contributes to genetically diverse and healthy populations. Critical summer range occurs generally at higher elevations, but can be similar to fall or winter ranges when deer are non-migratory. These ranges are vital to population productivity by providing habitats for parturition and rearing and forage for replenishing nutritional reserves. Summer ranges may be occupied by deer from several distinct winter ranges.. Fall holding areas are used by deer when transitioning to winter ranges. These areas can also be used in mild winters where adequate forage is available and escape from deepening snows is unnecessary. Fawning areas are critical to population productivity. They are generally located within summer ranges but can occur throughout the home ranges of non-migratory deer. Fawning areas are often linked to meadow complexes or riparian communities where adequate cover can hide newborn fawns and herbaceous forage can replenish the nutritional demands of lactation.

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

South of Interstate 40 mule deer reside in Game Management Units (GMU) 8 and 6B in Arizona. The herd summers in high-elevation open meadows and ponderosa pine habitat southwest of Flagstaff, Arizona. In late October, the herd migrates west to lower elevation pinyon-juniper and shrub habitats near the junction of Interstate 40 and U.S. Highway 89. With funding support by the U.S. Department of the Interior (USDI) through Secretarial Order 3362, research on this herd’s migration began in February 2020. Additional GPS collars were deployed in January 2022 with support from the U.S. Forest Service, Mule Deer Foundation, and other partners. Primary threats to the herd’s migration involve high volume roads including Interstate 40, and U.S. Highways 89 and 89A. These mapping layers show the location of the migration routes for mule deer (Odocoileus hemionus) in the South of I-40 population in Arizona. They were developed from 20 migration sequences collected from a sample size of 7 adult ...

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.

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.

Deer winter habitat is critical to the long term survival of white-tailed deer (Odocoileus virginianus) in Vermont. Being near the northern extreme of the white-tailed deer's range, functional winter habitats are essential to maintain stable populations of deer in many years when and where yarding conditions occur. Consequently, deer wintering areas are considered under Act 250 and other local, state, and federal regulations that require the protection of important wildlife habitats. DWAs are generally characterized by rather dense softwood (conifer) cover, such as hemlock, balsam fir, red spruce, or white pine. Occasionally DWAs are found in mixed forest with a strong softwood component or even on found west facing hardwood slopes in conjunction with softwood cover. In this mapping exercise no minimum area is defined, however, most areas less than 20 acres were not delineated, nor were areas above 2,000 feet elevation (approximate). In 2008, the boundaries of deer winter areas where refined using black and white leaf-off 1:5,000 scale orthophotography (1990-1999) and was cross referenced with 1:24,000 scale 2003 NAIP (color, leaf-on) imagery to better delineate fields and open wetlands. Some of the areas were also marked as 'not likely wintering area' based on not having softwood characteristic. The areas were reviewed by VFWD District Biologists in 2009 to 2010 for their concurrence from their knowledge of the site. The 2008 mapping project did not involve any field work, but was based on aerial photography. Potential areas were identified, but they have not been included in this map layer because they have not been field verified. The original DWA mapping was done in the 1970s and early 1980s and was based on field visits and interviews with wildlife biologists and game wardens. The DWA were mapped on mylar overlays on topographic maps and based on small scale aerial photos.

The raw dataset consisted of GPS way points collected from Advanced Telemetry Solutions (ATS) Iridium LITE/GPS model G2110L collars with SureDrop collar break off mechanisms, or Tellus small iridium collars equipped with Tellus RL-Drop off on mule deer in the upper San Joaquin River watershed. Migratory deer within the San Joaquin Watershed occupy most of the watershed above Kerckhoff Reservoir, Fresno and Madera Counties, California. The data was collected from 2013-2016 by Tim Kroeker. Fix rates varied between 2 and 12 hours. Human infrastructure in the watershed is widespread and includes residential, water control, hydroelectric power, and recreational use developments. Steep topography between winter and summer range limit crossing points along the San Joaquin River. Habitat conditions favoring deer declined from a peak around 1950, resulting in a reduction in the deer population. The current deer population is believed to be about 4,000. A massive wildfire burned through most of the watershed in 2020, dramatically changing habitat conditions in some areas. To improve the quality of the data set as per Bjørneraas et al. (2010), theGPS 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 from 30 deer, including location, date, time, and average location error as inputs in Migration Mapper. Corridors and stopovers were prioritized based on the number of animals moving through a particular area. BBMMs were produced at a spatial resolution of 30 m with a fixed motion variance parameter of 1000 using a sequential fix interval of less than 27 hours. Winter range analyses were based on data from 32 individual deer. A separate BBMM was created for all deer locations designated as winter range using a fixed motion variance parameter 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 in the BBMMs, with greater than 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) 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 m2were 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 50thpercentile contour of the winter range utilization distribution.

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.

Annual deer harvest. Number of deer taken per kill block, summed by age and method of harvest (firearm, archery, muzzle loader)

Along the eastern slope of the Cascade Mountains in Chelan and Kittitas counties, the Wenatchee Mountains mule deer herd inhabits a matrix of private and public lands. Historically, the Wenatchee Mountains mule deer were separated into two sub-herds, Chelan and Kittitas; however, recent movement data from GPS-collared individuals associated with Secretarial Order 3362 (Department of the Interior, 2018) revealed that 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 outside Ellensburg, Washington. The low-use winter range occurs along the foothills west of the Columbia River. In the spring, migratory individuals travel west into the Wenatchee Mountains to their summer range, which includes the Alpine Lakes Wilderness Area. Wenatchee Mountains mule deer are partially migratory; a higher proportion of migratory individuals occupy the northern winter range of the Wenatchee Mountains and non-migratory individuals more commonly inhabit the foothills of the Kittitas Valley. The increasing frequency of large-scale wildfires and residential development continue to degrade and reduce available winter range. Disturbance from human recreation on the winter range continues to be a concern. Semipermeable barriers to spring and fall migration include U.S. Highway 97 or State Route 970, both of which experience relatively high volumes of traffic in the region. These mapping layers show the location of the migration routes for Mule Deer (Odocoileus hemionus) in the Wenatchee Mountains population in Washington. They were developed from 107 migration sequences collected from a sample size of 38 animals comprising GPS locations collected every 4 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).

This database contains GIS datasets representing the distribution of mule deer habitat throughout the United States and Canada (Alberta amp;amp; 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.lt;br gt; amp;nbsp;amp;nbsp;amp;nbsp;amp;nbsp;amp;nbsp; lt;br gt;

This EnviroAtlas dataset includes the total number of recreational days per year demanded by people ages 18 and over for big game hunting by location in the contiguous United States. Big game includes deer, elk, bear, and wild turkey. These values are based on 2010 population distribution, 2011 U.S. Fish and Wildlife Service (FWS) Fish, Hunting, and Wildlife-Associated Recreation (FHWAR) survey data, and 2011 U.S. Department of Agriculture (USDA) Forest Service National Visitor Use Monitoring program data, and have been summarized by 12-digit hydrologic unit code (HUC). This dataset was produced by the US EPA to support research and online mapping activities related to the EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

With 204 GPS-collared mule deer, the Beulah-Malheur herd is one of the most extensively recorded mule deer herds in Oregon. Mule deer primarily winter along the Malheur River and the Stinkingwater Mountains, with some as far south as the Owyhee River. Winter ranges are covered by Artemisia tridentata (big sagebrush), grassland, and encroaching Juniperus occidentalis (western juniper). Although spatially dispersed, much of the Beulah-Malheur herd collectively migrates northwest to reach summer ranges across the upper elevations of the Malheur National Forest, Pedro Mountain, and Cottonwood Mountain. Primary summer range vegetation includes A. t. vaseyana (mountain big sagebrush), Pinus ponderosa (ponderosa pine), and western juniper with mixed-conifer forests and mountain shrub communities at higher elevations. In 2014, the Buzzard Complex fire burned approximately 398,596 acres (161,306 ha) between Riverside, Oregon and State Route 78, allowing Taeniatherum caput-medusae (medusahead) and other invasive annual grasses to proliferate in areas originally lacking perennial plant cover. Mule deer cross several major roadways during migration, including U.S. Highway 20, U.S. Route 26, and U.S. Route 395, while Interstate 84 is a complete barrier on the east. U.S. Highway 20 transects winter ranges for both migratory and resident mule deer and the section between mileposts 135 and 258 along the Malheur River accounted for an average of 179 mule deer-vehicle collisions each year from 2010 to 2022. The Burns-Paiute Tribe is working with the Oregon Department of Fish and Wildlife (ODFW) and Oregon Department of Transportation (ODOT) to identify wildlife passage solutions on U.S. Highway 20. These mapping layers show the location of the winter ranges for mule deer (Odocoileus hemionus) in the Beulah-Malheur population in Oregon. They were developed from 303 migration sequences collected from a sample size of 179 animals comprising GPS locations collected every 5-13 hours.

Bovine tuberculosis (TB) is one of the oldest diseases known to man, and it is caused by the bacteria Mycobacterium bovis. While the disease is found primarily in cattle, it has also been found in cervids (deer and elk), bison, goats, and carnivores such as coyotes. In fact, any warm-blooded animal, including humans, can be affected by the disease. For information on bovine TB in wildlife, visit the Department of Natural Resources' website.In Michigan, bovine TB is not a new issue. The disease was frequently found in dairy and beef cattle throughout the mid-20th Century. Today, the disease is known to be present in the free-ranging white-tailed deer population in specific areas of northeastern lower Michigan, and the disease can be transmitted between deer and cattle.As a result, there are currently two TB zones within the state: a four-county area in northern lower Michigan called the Modified Accredited Zone (MAZ) and the remainder of the state is referred to as the Accredited Free Zone (AFZ).Eradicating Bovine TBThe goal of Michigan’s Bovine Tuberculosis (TB) Program is to work together with its One Health partners to prevent, control, and ultimately eradicate the disease in cattle.With more than 12,000 cattle producers in the state who maintain more than 1.2 million cattle, the program plays a crucial role in maintaining market access for Michigan cattle, meat, and milk products.In the MAZ and its adjacent counties, the TB Program works daily on disease surveillance, animal traceability, and prevention of bovine TB transmission from deer-to-cattle.Contact InformationMichigan Department of Agriculture & Rural DevelopmentAnimal Industry DivisionDeborah A. Stabenow Building, 6th FloorPO Box 30017Lansing, MI 48909800-292-3939Atlanta Regional Office16860 M-32Atlanta, MI 49709989-785-5616 MDARD makes every attempt to ensure data accuracy but cannot guarantee the completeness or accuracy of the information contained within this dataset. For content related questions or to submit feedback, reach out to MDARD-GIS@Michigan.gov.