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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.
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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.
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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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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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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, All tags...
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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).
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File-based data for download:https://www.sciencebase.gov/catalog/item/65565629d34ee4b6e05c482a This layer calculated changes between the first and last time steps from the Sagebrush Conservation Design dataset. Calculations were done by adding the first and second time step rasters using the Raster Calculator tool in ArcGIS Pro. The later raster was reclassified with the following values Non-Rangeland Areas = 0, Core Sagebrush Areas = 10, Growth Opportunity Areas = 20, Other Rangeland Areas = 30. This created a raster showing change with the following values. Non-Rangeland to Non-Rangeland = 0Core to Non-Rangeland =1, Growth to Non-Rangeland = 2,Other to Non-Rangeland = 3Non-Rangeland to Core = 10Core to Core =...
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File-based data for download:https://www.sciencebase.gov/catalog/item/65564a51d34ee4b6e05c47f7 This layer calculated changes between the first and last time steps from the Sagebrush Conservation Design dataset. Calculations were done by adding the first and second time step rasters using the Raster Calculator tool in ArcGIS Pro. The later raster was reclassified with the following values Non-Rangeland Areas = 0, Core Sagebrush Areas = 10, Growth Opportunity Areas = 20, Other Rangeland Areas = 30. This created a raster showing change with the following values. Non-Rangeland to Non-Rangeland = 0Core to Non-Rangeland =1, Growth to Non-Rangeland = 2,Other to Non-Rangeland = 3Non-Rangeland to Core = 10Core to Core =...
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...
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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.
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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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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.
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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...
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File-based data for download:https://www.sciencebase.gov/catalog/item/6556549dd34ee4b6e05c4822 This layer calculated changes between the first and last time steps from the Sagebrush Conservation Design dataset. Calculations were done by adding the first and second time step rasters using the Raster Calculator tool in ArcGIS Pro. The later raster was reclassified with the following values Non-Rangeland Areas = 0, Core Sagebrush Areas = 10, Growth Opportunity Areas = 20, Other Rangeland Areas = 30. This created a raster showing change with the following values. Non-Rangeland to Non-Rangeland = 0Core to Non-Rangeland =1, Growth to Non-Rangeland = 2,Other to Non-Rangeland = 3Non-Rangeland to Core = 10Core to Core =...
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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.
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File-based data for download:https://www.sciencebase.gov/catalog/item/65564e17d34ee4b6e05c4802 This layer calculated changes between the first and last time steps from the Sagebrush Conservation Design dataset. Calculations were done by adding the first and second time step rasters using the Raster Calculator tool in ArcGIS Pro. The later raster was reclassified with the following values Non-Rangeland Areas = 0, Core Sagebrush Areas = 10, Growth Opportunity Areas = 20, Other Rangeland Areas = 30. This created a raster showing change with the following values. Non-Rangeland to Non-Rangeland = 0Core to Non-Rangeland =1, Growth to Non-Rangeland = 2,Other to Non-Rangeland = 3Non-Rangeland to Core = 10Core to Core =...
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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...
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A warmer climate has increased the spread of mountain Pine beetle. Historically, mountain pine beetle populations were limited to southern regions due to cold temperature intolerance. However, increasing winter temperatures has allowed the species to spread further north, contributing to the loss of over 1 million ha of forest in the United States and 9 million ha in Canada.Data on mountain pine beetle damage was compiled by CMP Hi5 Working Group technical team. Aerial detection surveys between 1999–2020 for Montana, Alberta, and Waterton Lakes National Park were compiled and assigned a severity score using the USDA Forest Service classification system. Severity is based on crown mortality from aerial images, with...
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The introduction of white pine blister rust, a fungus from Eastern Asia introduced to North America in the early 1900s, has inhibited the persistence of whitebark pine. Once white pine blister rust infects a tree, the fungus girdles branches and then main stem, eventually killing the tree. Since its introduction, white pine blister rust has continued to spread throughout North America with minimal environmental limitations. Within the Crown of the Continent ecosystem, up to 57% of trees have been infected or died due to white pine blister rust.At the time of this analysis, no geospatial data exists for white pine blister rust within the Crown landscape. However, because this rust is most abundant in cool and wet...
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This is a land cover dataset for Nebraska that was most recently updated in 2020 by the Rainwater Basin Joint Venture. This metadata record supplements the complete description of the data in Bishop, A., Grosse,R., Barenberg, A., Volpe, N., and Riens, J. January, Nebraska Land Cover Development Version 2016. Rainwater Basin Joint Venture, U.S. Fish and Wildlife Service, Grand Island, Nebraska.
map background search result map search result map CCE Landcover c2000 Live Pine Tree Species Basal Area (2000 -2009) in the GCPO LCC (Loblolly, Longleaf, Shortleaf, Slash) Land Use & Land Cover in the Crown of Continent Ecosystem c2000 Evergreen Change in Central Oklahoma from 1986 - 2014 Grizzly Bear Occupancy Model, Relative probability of occupancy in the Crown of the Continent Ecosystem Cost-weighted distance (CWD) categorical raster, Highway 3 West Cost-weighted distance (CWD) categorical raster, Highway 97 Central Cost-weighted distance (CWD) categorical raster, Highway 97 North Generalization of 10 focal species cost-weighted distance (CWD) categorical raster, Highway 3 West Generalization of 10 focal species cost-weighted distance (CWD) categorical raster, Highway 97 Central Generalization of 10 focal species cost-weighted distance (CWD) categorical raster, Highway 97 South Shrubsteppe and grassland (SSGL) species guild CWD, Highway 97 South Oklahoma and Texas Landcover Edge Match Nebraska Landcover 2016 Public (Non-CRP) Version 2001 - 2006 Sagebrush Ecological Integrity (SEI) Changes 2006 - 2011 Sagebrush Ecological Integrity (SEI) Changes 2011 - 2016 Sagebrush Ecological Integrity (SEI) Changes 2016 - 2020 Sagebrush Ecological Integrity (SEI) Changes Whitebark Pine- Mountain Pine Beetle Whitebark Pine- White Pine Blister Rust Evergreen Change in Central Oklahoma from 1986 - 2014 Grizzly Bear Occupancy Model, Relative probability of occupancy in the Crown of the Continent Ecosystem CCE Landcover c2000 Land Use & Land Cover in the Crown of Continent Ecosystem c2000 Oklahoma and Texas Landcover Edge Match Whitebark Pine- White Pine Blister Rust Whitebark Pine- Mountain Pine Beetle Nebraska Landcover 2016 Public (Non-CRP) Version Cost-weighted distance (CWD) categorical raster, Highway 3 West Cost-weighted distance (CWD) categorical raster, Highway 97 Central Cost-weighted distance (CWD) categorical raster, Highway 97 North Generalization of 10 focal species cost-weighted distance (CWD) categorical raster, Highway 3 West Generalization of 10 focal species cost-weighted distance (CWD) categorical raster, Highway 97 Central Generalization of 10 focal species cost-weighted distance (CWD) categorical raster, Highway 97 South Shrubsteppe and grassland (SSGL) species guild CWD, Highway 97 South Live Pine Tree Species Basal Area (2000 -2009) in the GCPO LCC (Loblolly, Longleaf, Shortleaf, Slash) 2001 - 2006 Sagebrush Ecological Integrity (SEI) Changes 2006 - 2011 Sagebrush Ecological Integrity (SEI) Changes 2011 - 2016 Sagebrush Ecological Integrity (SEI) Changes 2016 - 2020 Sagebrush Ecological Integrity (SEI) Changes