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Folders: ROOT > ScienceBase Catalog > LC MAP - Landscape Conservation Management and Analysis Portal ( Show direct descendants )
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This categorical CWD raster was developed from a project-wide CWD raster. For each of the five fracture zones, the CWD raster was partitioned into zone-specific, 10 equal-area class map, ranging from low CWD to high CWD.
Ten focal species cost-weighted distance (CWD) surfaces from WHCWG (2010) were combined into a single categorical raster for this project. The source focal species were: western toad, northern flying squirrel, wolverine, Canada lynx, American marten, mountain goat, American black bear, elk, mule deer, and bighorn sheep.
This categorical CWD raster was developed from a project-wide CWD raster. For each of the five fracture zones, the CWD raster was partitioned into zone-specific, 10 equal-area class map, ranging from low CWD to high CWD.
Generalization of 10 focal species cost-weighted distance (CWD) categorical raster, Highway 97 South
Ten focal species cost-weighted distance (CWD) surfaces from WHCWG (2010) were combined into a single categorical raster for this project. The source focal species were: western toad, northern flying squirrel, wolverine, Canada lynx, American marten, mountain goat, American black bear, elk, mule deer, and bighorn sheep.
Live tree species basal area from 2000 - 2009 for loblolly pine (Pinus taeda), longleaf pine (Pinus palustris), shortleaf pine (Pinus echinata), and slash pine (Pinus elliottii) clipped to the Gulf Coastal Plains and Ozarks LCC geography.Data were derived from the USFS live tree species basal area of the contiguious United States (2000-2009) Wilson, Barry T.; Lister, Andrew J.; Riemann, Rachel I.; Griffith, Douglas M. 2013. Live tree species basal area of the contiguous United States (2000-2009). Newtown Square, PA: USDA Forest Service, Northern Research Station. Abstract from html metadata for USFS live tree species basal area of the contiguious United States (2000-2009). This data product contains raster maps...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
GeoTIFF,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Raster;
Tags: BIOSPHERE,
BIOSPHERE,
Basal Area,
Conservation planning,
Data,
Previous vegetation mapping project has areas along the boundary between Texas and Oklahoma along the Red River where data was missing (gaps) or where overlaps contained contradictory mapped types (overlaps). These areas were corrected with this product. Gaps were corrected using new image objects attributed with landcover from the previous products and new soils data available from NRCS (gSSURGO). Overlaps were corrected by selecting one of the mapped types identified by previous products based on the state boundary provided by the U. S. Census Bureau (500k).
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Raster;
Tags: Complete,
Conservation NGOs,
Data,
Data.gov Gulf Coast Prairie Landscape Conservation Cooperative,
EARTH SCIENCE,
Satellite imagery from the Landsat 5 Thematic Mapper sensor and the Landsat 8 Operational Land Imagery were used to investigate changes in overall evergreen vegetation occurring between the 1986-1989 and 2013-2014 time periods. Two path/rows of imagery, from the spring, summer, and fall seasons for each time period were mosaicked together. The imagery was then subset to remove the presence of clouds from the datasets. Images were further subset using the impervious data from the 2011 version of the National Land Cover Database. Unsupervised classification was used to spate each time period imageinto two classes, evergreen vegetation and everything else. Each subsequent time period was subjected to successive unsupervised...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Raster;
Tags: Academics & scientific researchers,
Conservation NGOs,
Data,
Data.gov Gulf Coast Prairie Landscape Conservation Cooperative,
EARTH SCIENCE SERVICES > DATA ANALYSIS AND VISUALIZATION,
The purpose of this project was to develop a spatially explicit occupancy model for grizzly bears across the full extent of the CCE. The landscape occupancy model was created using ecological variables compiled for the CCE by the CMP and grizzly bear detection data provided by our partners in Alberta, British Columbia, and Montana.
Ten focal species cost-weighted distance (CWD) surfaces from WHCWG (2010) were combined into a single categorical raster for this project. The source focal species were: western toad, northern flying squirrel, wolverine, Canada lynx, American marten, mountain goat, American black bear, elk, mule deer, and bighorn sheep.
This categorical CWD raster was developed from a project-wide CWD raster. For each of the five fracture zones, the CWD raster was partitioned into zone-specific, 10 equal-area class map, ranging from low CWD to high CWD.
This cost-weighted distance (CWD) raster was developed from a generalized shrub-steppe and grassland (SSGL) species guild resistance model based on 20th percentile of resistance values for the five statewide analysis (WHCWG 2010) focal species in this biome, including sage-grouse, black-tailed jackrabbit, white-tailed jackrabbit, badger, and sharp-tailed grouse.
These data represent land cover and land use for the Crown of the Continent Ecosystem. The data are a compilation from multiple sources [Multi-Resolution Land Characteristics (MRLC) Consortium, Agriculture and Agri-Food Canada (AAFC), and the Canadian Forest Service (CFS)], Canadian data are circa 2000, US are circa 2001. VALUE: 0 = NoData; 20 = Water; 30 = Barren; 31 = Ice/Snow; 34 = Developed; 50 = Scrub/Shrub; 80 = Wetland; 110 = Grassland; 120 = Agriculture; 210 = Coniferous; 220 = Deciduous; 230 = Mixed. This dataset was published in November 2010. The dataset was updated in 2014 to fix several no-data pixels along the US-Canada border. This dataset was developed by the Crown Managers Partnership, as part of...
Categories: Data,
Publication;
Types: Citation,
Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: CCE,
CCE,
Crown Managers Partnership,
Crown Managers Partnership,
Crown of the Continent Ecosyste,
These data represent land cover and land use for the Crown of the Continent Ecosystem. The data are a compilation from multiple sources. Grid cell values correspond to the following land use / land cover types: 20 - water 30 - barren 31 - ice/snow 34 - developed 50 - scrub/shrub 80 - wetland 110 - grassland 120 - agriculture 210 - coniferous forest 220 - deciduous forest 230 - mixed forest NoData values along the border have been fixed This dataset was developed as part of a long-term project monitoring the ecological health of the Crown of the Continent Ecosystem (CCE). This effort is a collaborative project between National Park Service Rocky Mountain Inventory and Monitoring Network (ROMN) (Landscape Dynamics...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Data,
EARTH SCIENCE > LAND SURFACE > LANDSCAPE,
Federal resource managers,
LCC Network Science Catalog,
Regional & county planners,
Ten focal species cost-weighted distance (CWD) surfaces from WHCWG (2010) were combined into a single categorical raster for this project. The source focal species were: western toad, northern flying squirrel, wolverine, Canada lynx, American marten, mountain goat, American black bear, elk, mule deer, and bighorn sheep.
This cost-weighted distance (CWD) raster was developed from a generalized shrub-steppe and grassland (SSGL) species guild resistance model based on 20th percentile of resistance values for the five statewide analysis (WHCWG 2010) focal species in this biome, including sage-grouse, black-tailed jackrabbit, white-tailed jackrabbit, badger, and sharp-tailed grouse.
Seamless DEM for the Crown of the Continent Ecosystem with a 50km buffer. This DEM was created using Shuttle Radar Topography Mission (SRTM) 1 Arc-Second Global data. The SRTM DEM had nodata values in several regions, particularly mountain tops. NoData holes were filled with ASTER Global DEM Version 2. Note: While the ASTER Global DEM does not have the NoData problems, the layers derived from the ASTER DEM (ex: slope, aspect) have sensor anomalies and artifacts, especially visible in the prairie regions. Data originally in WGS 1984 Vertical height in meters DEM created 2016-Feb-09
Categories: Data,
Publication;
Types: Citation,
Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Data,
EARTH SCIENCE > LAND SURFACE > LANDSCAPE,
Federal resource managers,
LCC Network Science Catalog,
Publication,
The Human Modification (HM) model is designed to provide a comprehensive, but parsimonious approach, that uses several stressor/threats datasets to estimate level of human modification. There are three important elements that define the HM approach: (a) the human modification stressors and their data sources (b) the measurement unit used for each stressor, and (c) the method used to combine the effects of multiple stressors into an overall score of human modification. The way in which these various data layers are combined into a single index is quite important. We use a method that minimizes bias associated with non-independence among several stressor/threats layers (Theobald 2013). The HM model assumes the contribution...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Colorado,
Colorado,
EARTH SCIENCE > LAND SURFACE > LANDSCAPE,
Green River Basin,
Green River Basin,
This categorical CWD raster was developed from a project-wide CWD raster. For each of the five fracture zones, the CWD raster was partitioned into zone-specific, 10 equal-area class map, ranging from low CWD to high CWD.
HCA’s represent large patches of low resistance pixels that are not fragmented by strong barriers. These areas were modeled from landscape integrity condition values (TCWG 2015).
Generalization of 10 focal species cost-weighted distance (CWD) categorical raster, Highway 97 North
Ten focal species cost-weighted distance (CWD) surfaces from WHCWG (2010) were combined into a single categorical raster for this project. The source focal species were: western toad, northern flying squirrel, wolverine, Canada lynx, American marten, mountain goat, American black bear, elk, mule deer, and bighorn sheep.
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