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This layer represents 5-year relative counts of wildlife carcasses collected by Montana Department of Transportation (MDT) maintenance personnel or U.S. Fish & Wildlife Service Grizzly Bear Recovery Team personnel on or adjacent to on-system (major) routes from 2008 to 2012. To obtain relative counts, the 5-year total counts per mile, which included all wildlife species observed, were divided by the maximum observed calue (98) to give a relative 0-1 risk score. Total counts, which include all wildlife species observed, along with carnivore counts, which include only black bears, grizzly bears, mountain lions, and wolves, are provided. Counts were derived by identifying the nearest mile marker to each carcass point...
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This dataset depicts forest fragmentation in central Africa by roads. This dataset includes roads. This study, or Pilot Analysis of Global Ecosystems (PAGE), examines forest ecosystems of the world using a large collection of spatial and temporal data. This study analyzes datasets at the global, national, and subnational levels, and draws on published and unpublished scientific studies. It develops selected indicators that describe the condition of the world's forests, where condition is defined as the current and future capacity of forests to provide the full range of goods and services that humans need and consume.
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This dataset was created by overlaying connectivity model outputs for grizzly bear, black bear, lynx, wolverine, forest specialist species, and forest biome dwellers where they intersect the region’s major roads. It was used in conjunction with future traffic volume projections to identify priority sites for mitigating road impacts on wildlife. This project investigated the potential impacts of future housing development on traffic to determine where increased traffic from housing development will impact habitat connectivity for large carnivores. The focus of this study was Flathead and Lincoln counties in northwestern Montana. The main goal was to maintain wildlife habitat connectivity across transportation corridors...
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This dataset depicts roads built on the Tongass National Forest prior to 1960. This dataset is part of a larger analysis of road building and timber harvest on the Tongass National Forest, compiled for the report Scientific Basis for Roadless Area Conservation (http://www.consbio.org/cbi/projects/show.php?page=roadless/roadless.htm), pp 70-73. Road segments from a US Forest Service roads layer were attributed to the most likely decade in which the road was built, as determined by an analysis of connectivity to clearcuts on the Tongass National Forest from that decade. It was assumed that following 1960, harvests required access to mills or extraction sites, and thus roads connecting to them were most likely built...
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The USGS Transportation downloadable data from The National Map (TNM) is based on TIGER/Line data provided through U.S. Census Bureau and supplemented with HERE road data to create tile cache base maps. Some of the TIGER/Line data includes limited corrections done by USGS. Transportation data consists of roads, railroads, trails, airports, and other features associated with the transport of people or commerce. The data include the name or route designator, classification, and location. Transportation data support general mapping and geographic information system technology analysis for applications such as traffic safety, congestion mitigation, disaster planning, and emergency response. The National Map transportation...
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Synopsis: In an attempt to better characterize the influence of human settlement patterns on wolf distribution, this paper examined how radio-collared gray wolves responded to different road types and human presence at the boundaries of Kenai National Wildlife Refuge in south-central Alaska. Wolves tended to avoid oilfield access roads that were open to the public, but were attracted to gated pipeline access roads and secondary gravel roads with limited human use. The low use access and secondary roads likely provided an easy travel corridor for wolves. Prior to intensive trapping and hunting from 1978-1979, wolves demonstrated little territorial adjustment in response to a heavily used highway. However, only after...


map background search result map search result map 1:1,000,000-Scale Ferries of the United States Gray wolf response to refuge boundaries and roads in Alaska. Central Africa: Forest Fragmentation by Roads (including roads) Tongass National Forest Roads - Pre 1960 Road-Killed Wildlife Carcass Frequency by Mile of Montana On-System Routes in the U.S. Northern Rockies (2008-2012) All Roads in the Western United States Northwest Montana Multispecies Connectivity Value Across Roads Parking Areas, Tule Lake NWR 17_Illinois_Shape 31_Nebraska_Shape 32_Nevada_Shape 55_Wisconsin_Shape 8_Colorado_FileGDB_10 13_Georgia_FileGDB_10 27_Minnesota_FileGDB_10 32_Nevada_FileGDB_10 USGS National Transportation Dataset (NTD) Downloadable Data Collection USGS National Transportation Dataset (NTD) for Vermont 20180915 State or Territory FileGDB 10.1 USGS National Transportation Dataset (NTD) for West Virginia 20180916 State or Territory FileGDB 10.1 Northwest Montana Multispecies Connectivity Value Across Roads USGS National Transportation Dataset (NTD) for Vermont 20180915 State or Territory FileGDB 10.1 Tongass National Forest Roads - Pre 1960 USGS National Transportation Dataset (NTD) for West Virginia 20180916 State or Territory FileGDB 10.1 Gray wolf response to refuge boundaries and roads in Alaska. 13_Georgia_FileGDB_10 17_Illinois_Shape 31_Nebraska_Shape 8_Colorado_FileGDB_10 Road-Killed Wildlife Carcass Frequency by Mile of Montana On-System Routes in the U.S. Northern Rockies (2008-2012) 55_Wisconsin_Shape 32_Nevada_Shape 32_Nevada_FileGDB_10 27_Minnesota_FileGDB_10 Parking Areas, Tule Lake NWR All Roads in the Western United States Central Africa: Forest Fragmentation by Roads (including roads) 1:1,000,000-Scale Ferries of the United States USGS National Transportation Dataset (NTD) Downloadable Data Collection