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This dataset represents the railways within a 5km buffer of the Crown of the Continent Ecosytem. This dataset contains all freely available spatial information on railways within the Crown of the Continent. Due to the free nature of the data, it is of mixed quality and should not necessarily be considered an exhaustive representaion.
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This geodatabase contains all freely available spatial information on pipelines in the Crown of the Continent area. Due to the free nature of the data, it is of mixed quality and should not be considered inclusive of all pipelines actually in the region.
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Delineates outbreaks of the two focal species referred to as Mountain Pine Bettle Covers the CCE and 50km into the surrounding area from 2000 to 2015. This layer is a compilation from multiple sources, Bruce spanworm polygons were removed from Alberta data. 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/
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Systematic conservation planning is well suited to address the many large-scale biodiversity conservation challenges facing the Appalachian region. However, broad, well-connected landscapes will be required to sustain many of the natural resources important to this area into the future. If these landscapes are to be resilient to impending change, it will likely require an orchestrated and collaborative effort reaching across jurisdictional and political boundaries. The first step in realizing this vision is prioritizing discrete places and actions that hold the greatest promise for the protection of biodiversity. Five conservation design elements covering many critical ecological processes and patterns across the...
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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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These layers show land ownership and status of all Canadian and U.S. lands that fall within the boundaries of the Great Northern Landscae Conservation Cooperative. Layers were compiled from various sources, each with it’s own metadata reference file.
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This file describes a set of outputs from the Sea Level Affecting Marshes Model (SLAMM), which consists of rasters containing SLAMM’s coastal cover categories (classes) for a study area on the Gulf of Mexico (U.S.) coast. The model was used to simulate the impact of sea level rise (SLR) on these coastal cover classes, with an emphasis on wetlands, for the “Evaluation of Regional SLAMM Results to Establish a Consistent Framework of Data and Models” project. The project was performed by Warren Pinnacle Consulting, Inc., and Image Matters LLC. The project was funded by the Gulf Coast Prairie Landscape Conservation Cooperative (LCC). A coordinated network of landscape conservation cooperatives (each an “LCC”) is being...
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The Missouri Resource Assessment Partnership (MoRAP) of the University of Missouri, in conjunction with the Oklahoma Biological Survey of the University of Oklahoma, produced a vegetation and landcover GIS data layer for the eastern portions of Oklahoma. This effort was accomplished with direction and funding from the Oklahoma Department of Wildlife Conservation and state and federal partners (particularly the Gulf Coast Prairie and Great Plains Landscape Conservation Cooperatives of the U. S. Fish and Wildlife Service). The legend for the layer is based on NatureServe’s Ecological System Classification, with finer thematic units derived from land cover and abiotic modifiers of the System unit. Data for development...
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This layer shows aspin defoliators (large aspen torix and forest tent caterpillars) damage in the Crown of the Continent and a 50km buffer. Delineates outbreaks of the two focal species referred to as aspen defoliators (large aspen torix and forest tent caterpillar). Covers the CCE and 50km into the surrounding area from 2000 to 2007. This layer is a compilation from multiple sources, Bruce spanworm polygons were removed from Alberta data, focal species were extracted from USDA data.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...
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This layer represents historic fire perimeters within 50km of the Crown of the Continent Ecosystem (CCE) from 2014 to 2015 within only Alberta and British Columbia. 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 was first published in May 2016. Note: There was not any public data available...
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This layer represents historic fire perimeters within 50km of the Crown of the Continent Ecosystem (CCE) from 1931 to 2013. 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 was first published in May 2016.Note: There was not any publically comparable data available for the fire cause for...
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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 geodatabase contains all freely available spatial information on trails accessible by All-Terrain-Vehicles (ATV’s) as well as utility and logging cutlines in the Crown of the Continent area. Due to the free nature of the data, it is of mixed quality...


map background search result map search result map Estimated potential for sage-grouse movement GNLCC Jurisdictional Boundaries Cutlines and OHV Trails in the Crown of the Continent Ecosystem Pipelines in the Crown of the Continent Ecosystem Railways in the Crown of the Continent Ecosystem Roads c2011 in the Crown of the Continent Ecosystem Appalachian LCC Landscape Conservation Design Phase 1 Local Build-outs Amount of inflow stored in upstream dams-rivers Fire History in the Crown of the Continent Fires of the Crown of the Continent within Alberta and British Columbia (2014-2015) Aspin Defoliators Disturbance in the Crown of the Continent 50km Buffer (2000-2007) Mountain Pine Beetle in the Crown of the Continent (2000-2015) Sea-Level Affecting Marshes Model - Gulf of Mexico FractureZoneNames, Transboundary Connectivity: Washington & British Columbia 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 97 Central Generalization of 10 focal species cost-weighted distance (CWD) categorical raster, Highway 97 South FractureZones, Transboundary Connectivity: Washington & British Columbia Oklahoma Ecological Systems Mapping - Phase 1 dataset Estimated potential for sage-grouse movement Fires of the Crown of the Continent within Alberta and British Columbia (2014-2015) Aspin Defoliators Disturbance in the Crown of the Continent 50km Buffer (2000-2007) Pipelines in the Crown of the Continent Ecosystem Railways in the Crown of the Continent Ecosystem Roads c2011 in the Crown of the Continent Ecosystem Mountain Pine Beetle in the Crown of the Continent (2000-2015) Oklahoma Ecological Systems Mapping - Phase 1 dataset Fire History in the Crown of the Continent FractureZoneNames, Transboundary Connectivity: Washington & British Columbia 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 97 Central Generalization of 10 focal species cost-weighted distance (CWD) categorical raster, Highway 97 South FractureZones, Transboundary Connectivity: Washington & British Columbia Sea-Level Affecting Marshes Model - Gulf of Mexico Cutlines and OHV Trails in the Crown of the Continent Ecosystem Appalachian LCC Landscape Conservation Design Phase 1 Local Build-outs Amount of inflow stored in upstream dams-rivers GNLCC Jurisdictional Boundaries