Filters: Tags: Rapid Ecoregional Assessment (X)
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The potential effect of development on patch size was used as an index of fragmentation. Patch size was quantified for baseline conditions for pygmy rabbit. This provides a reference for comparing patch size for relatively undeveloped patches (Terrestrial Development Index scores less than or equal to 1 percent) of pygmy rabbit.
The Alaska BAER Earth Cover Classification served as an input regional vegetation map for the Vegetation Map of Northern, Western, and Interior Alaska. For more information on source datasets for the Vegetation Map of Northern, Western, and Interior Alaska, see: http://aknhp.uaa.alaska.edu/ecology/vegetation-map-and-classification-northern-western-and-interior-alaska/
This polygon feature class describes areas used for subsistence harvesting of moose in 2011 by surveyed households in Takotna, Alaska. This is a partial representation of areas used for resource harvesting in 2011.
This feature class describes areas used for subsistence harvesting of sheefish by surveyed households in Ruby, Alaska. This is a partial representation of areas used for resource harvesting.
This dataset approximates areas available for utility-grade solar energy development under the Solar Energy Zone Alternative of the Solar Energy Development Programmatic Environmental Impact Statement (PEIS). Refer to the Solar Energy Development PEIS for more details.
Scorecard analysis for terrestrial conservation elements and near-future landscape condition. The landscape condition score represents area weighted mean value based upon the combined count and condition score. sum(count*score) / sum(count) *where count equals the cell count and score is the condition value. NatureServe’s ecological integrity framework provides a practical approach to organize criteria and indicators for this purpose (Faber-Langendoen et al. 2006, Unnasch et al. 2008). This framework provides a scorecard for reporting on the ecological status of a given CE within a given location, and if needed, facilitates the aggregation and synthesis of the component results for broader measures of ecological...
Some of the YKL rasters intentionally do not align or have the same extent. These rasters were not snapped to a common raster per the authors' discretion. Please review selected rasters prior to use. These varying alignments are a result of the use of differing source data sets and all products derived from them. We recommend that users snap or align rasters as best suits their own projects. - This file includes a downscaled projection of decadal Active Layer Thickness and Seasonally Frozen Layer Thickness (m) for the decade 2020-2029 at 2km spatial resolution, using the A2 emissions scenario. The raster contains both negative and positive values. Positive values relate to the active layer thickness, or depth of...
This polygon feature class describes areas used for subsistence harvesting of brown bear in 2011 by surveyed households in McGrath, Alaska. This is a partial representation of areas used for resource harvesting in 2011.
This feature class describes areas used for subsistence harvesting of sheefish by surveyed households in Galena, Alaska. This is a partial representation of areas used for resource harvesting.
This shapefile includes projections of annual area burned, fire return interval, and percent forest (current decade only) for the current (2010s), near-term (2020s) and long-term (2050s and 2060s) decades, for the A2 emissions scenario, for 3rd level HUCs within the YKL REA study area. Values were obtained by running 100 repetitions of the Alaska Frame-Based Ecosystem Code (ALFRESCO) model for the top five performing global climate models in the Arctic at a 1x1 km resolution. These outputs were then averaged together to determine the composite, 5 model average, the decades of interest extracted, and the resulting table exported as a shapefile. For background on ALFRESCO, please refer to: Is Alaska's Boreal Forest...
This dataset shows the distribution of investigated and proposed hydroelectric source sites.
Most communities in the western and interior parts of the state rely primarily on electricity generated with diesel fuel. These communities had the most expensive electricity in 2011. Most remote rural communities are eligible for the Power Cost Equalization (PCE) program instituted by the state to offset the high fuel prices in these communities. The program pays 95% of residential electricity cost However, the program has not been fully funded by the Legislature in 15 out of its 25 years of existence, and electricity rates in rural Alaska with PCE are still higher than in urban Alaska. There has been a recent dramatic increase in fuel prices throughout Alaska. This dataset shows the change in price of a gallon...
The Alaska Resource Data File (ARDF) is a subset of the National Mineral Resource Data System (MRDS) that has been specifically re-formatted and re-designed to better meet the needs of the local user community.
This data depicts random points generated within ESRI modelbuilder. The methodology to generate these points is documented within the Current Subsistence toolbox, model: YKL_DV_B_C_Subsistence_Step1_RiverSegments.
This data depicts pipeline locations in Alaska as digitized primarily from 1:24,000, 1:63,360, and 1:250,000 USGS quadrangles. The source document that represented the newest information and best geographic location was used to capture the data. All infrastructure from the primary source document was digitized and then supplemented with the information from other source documents for additional or updated infrastructure or attributes.
Federal protected areas such as national parks and preserves and wildlife refuges cover large areas of the study area. Because of its remote location, few people visit the region for recreational use, and except for the Iditarod, activities are concentrated in the summer. Recreation in the region includes sport hunting, sport fishing, and general outdoor hiking and camping activities.
This dataset shows unsettled state and native land claims at the section level filtered from general land status records in 2011 Land Information System Database downloaded from ASGDC. The Land Status attributes are a snapshot of the Land Information System Database and are only accurate as that database. The data is produced to the section (square mile) level.
This coverage displays the non-surveyed boundaries of active (recorded or interim) federal mining claims within the State of Alaska. Each mining claim is represented as an individual region, identified by the casefile serial number which can be linked to background data via the ALIS (Alaska Land Information System). Mining claim boundaries were identified in location notices from the original casefiles. They were plotted on maps based on rough sketches, claimant maps or physical descriptions. The mining claim boundaries were transferred (when applicable) by use of a zoom-transfer scope and light table from claimant maps or estimated from land descriptions onto 1:63,360 quadrangle maps. Claims were then digitized...
Some of the YKL rasters intentionally do not align or have the same extent. These rasters were not snapped to a common raster per the authors' discretion. Please review selected rasters prior to use. These varying alignments are a result of the use of differing source data sets and all products derived from them. We recommend that users snap or align rasters as best suits their own projects. - This file includes a downscaled projection of decadal average of winter (December, January, February) total precipitation (in millimeters) for the decade 2050-2059 at 771x771 meter spatial resolution. The file represents a decadal mean of seasonal totals calculated from monthly totals, using the A1B emissions scenario. The...
Some of the YKL rasters intentionally do not align or have the same extent. These rasters were not snapped to a common raster per the authors' discretion. Please review selected rasters prior to use. These varying alignments are a result of the use of differing source data sets and all products derived from them. We recommend that users snap or align rasters as best suits their own projects. - This file includes a downscaled projection of decadal average of winter (December, January, February) total precipitation (in millimeters) for the decade 2050-2059 at 771x771 meter spatial resolution. The file represents a decadal mean of seasonal totals calculated from monthly totals, using the A2 emissions scenario. The...
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