Filters: Tags: Roads (X)
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Categories: Publication;
Types: Citation;
Tags: Australia,
D 04672 Mammals,
Ecology Abstracts,
Human impact,
Kangaroos,
The Great Plains Landscape Conservation Cooperative (GPLCC, http://www.greatplainslcc.org/) is a partnership that provides applied science and decision support tools to assist natural resource managers conserve plants, fish and wildlife in the mid- and short-grass prairie of the southern Great Plains. It is part of a national network of public-private partnerships — known as Landscape Conservation Cooperatives (LCCs, http://www.fws.gov/science/shc/lcc.html) — that work collaboratively across jurisdictions and political boundaries to leverage resources and share science capacity. The Great Plains LCC identifies science priorities for the region and helps foster science that addresses these priorities to support wildlife...
Conservation Biology Institute selected closed USFS roads from the "Roads with Core Attributes" dataset based on the following criteria:Roaded areas for closed roads were determined based on the NFS definition:"ROUTE_STATUS" = 'EX - EXISTING' AND "JURISDICTION" = 'FS - FOREST SERVICE' AND "SYSTEM" = 'NFSR - NATIONAL FOREST SYSTEM ROAD' AND ("OPER_MAINT_LEVEL" = '1 - BASIC CUSTODIAL CARE (CLOSED)')Original metadata: A route feature stores the spatial locations (geography) of the road. These feature classes have an (M) value or measure on their vertices. A route system depicts all roads within or in close proximity to an administrative unit. A road is a motor vehicle travel way over 50 inches wide, unless classified...
The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The All Roads Shapefile includes all features within the MTDB Super Class "Road/Path Features" distinguished where the MAF/TIGER Feature Classification Code (MTFCC) for the feature in MTDB that begins with "S". This includes...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Raster,
Shapefile;
Tags: 16059,
Address Range,
County or Equivalent Entity,
County or equivalent entity,
Lemhi,
Detailed roads of the Navajo Nation and vicnity for use in mapping. Not intended for use as centerlines data. In September 2011, 2010 Tiger Line roads were re-attributed into six classes using OpenStreetMap and Bing Aerial Imagery as reference sources. Route numbers were corrected or assigned and segments were split when necessary. Due to overlapping segments, use Symbol Levels for proper display. The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national...
The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line File is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The All Roads Shapefile includes all features within the MTDB Super Class "Road/Path Features" distinguished where the MAF/TIGER Feature Classification Code (MTFCC) for the feature in MTDB tha begin with "S". This includes...
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.
This dataset represents roads in the Crown of the Continent Ecosystem (with a 50km buffer). Developed with the most recently available data and represents roads in ~2016. This dataset was developed by the Crown Managers Partnership, as part of a transboundary collaborative management initiative for the Crown of the Continent Ecosystem, based on commonly identified management priorities that are relevant at the landscape scale. The CMP is collaborative group of land managers, scientists, and stakeholder in the CCE. For more information on the CMP and its collaborators, programs, and projects please visit: http://crownmanagers.org/ This dataset has been produced by merging the "National Road Network (NRN) - AB,...
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Alberta,
B.C,
CCE,
MSDI,
Montana,
This layer represents the roads for the Crown of the Continent Ecosystem. The data are a compilation from multiple sources.
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: CCE,
CCE,
CMP,
CMP,
Crown Managers Partnership,
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...
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...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Flathead County,
Lincoln County,
Northern Rocky Mountains,
Northwest Montana,
connectivity,
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...
Layers of geospatial data include roads and trails.
Layers of geospatial data include roads and trails.
Layers of geospatial data include roads and trails.
Layers of geospatial data include roads and trails.
Layers of geospatial data include roads and trails.
Layers of geospatial data include roads and trails.
Layers of geospatial data include roads and trails.
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