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GIS data are provided for download in geodatabase and shapefile format and contain the following layers: permafrost extent, thermokarst landforms, maximum settlement potential, massive ice, segregated ice, biome, ecoregion, ecological subsection, ecological section, ecological landscape, soil landscape, physiography, lithology, general geology, average elevation (m), and mean annual air temperature (c). ArcGIS layer files are also included in this download.
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The White-crowned Sparrow is a common breeding bird from the Pacific Coast in the Lower 48to the northern extent of its range in Arctic Alaska (Chilton et al. 1995). The Gambel’ssubspecies, the breeder in Alaska, is most commonly associated with shrubby riparian habitatsthat run through both boreal and tundra environs. White-crowned Sparrows consume a widevariety of plant and animal prey and during the breeding season feed their young a strict diet ofinsect and other animal prey. Alaskan birds are short-distance migrants and winter in temperateNorth America (Chilton et al. 1995). Overall White-crowned Sparrow populations appear to bestable (Chilton et al. 1995).
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This raster, created in 2010, is output from the Geophysical Institute Permafrost Lab (GIPL) model and represents simulated active layer thickness (ALT) in meters averaged across a decade. The file name specifies the decade the raster represents. For example, a file named ALT_1980_1989.tif represents the decade spanning 1980-1989. Cell values represent simulated maximum depth (in meters) of thaw penetration (for areas with permafrost) or frost penetration (for areas without permafrost). If the value of the cell is positive, the area is underlain by permafrost and the cell value specifies the depth of the seasonally thawing layer above permafrost. If the value of the cell is negative, the ground is only seasonally...
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The Alaska Climate-Biome Shift Project (AK Cliomes) and the Yukon (YT) and NorthwestTerritories (NWT) Climate-Biome Shift Project (Ca Cliomes) were collaborative efforts thatused progressive clustering methodology, existing land cover classifications, and historicaland projected climate data to identify areas of Alaska, the Yukon, and NWT that are likely toundergo the greatest or least ecological pressure, given climate change. Project results and datapresented in this report are intended to serve as a framework for research and planning byland managers and other stakeholders with an interest in ecological and socioeconomic sustainability.
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Natural resource managers and native communities have expressed a need for effectively synthesizing traditional knowledge and western science data. Often wildlife management plans are based on remotely sensed data and data collected by wildlife biologists. These data may not reflect the variables that are important to the local users, including the scale of information, names describing places or habitats, or how seasonality affects the wildlife available for harvest. The Inuvialuit of the Yukon North Slope have formed a Wildlife Advisory Council, a co-management body, comprised of federal, territorial, and Inuvialuit representatives, and they are working closely with researchers from the Round River Organization...
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Baseline (1961-1990) average winter temperature in and projected change in temperature for for the northern portion of Alaska. For the purposes of these maps, ‘winter’ is defined as December - February. The Alaska portion of the Arctic LCC’s terrestrial boundary is depicted by the black line. Baseline results for 1961-1990 are derived from Climate Research Unit (CRU) TS3.1 data and downscaled to 2km grids; results for the other time periods (2010-2039, 2040-2069, 2070-2099) are based on the SNAP 5-GCM composite using the AR5-RCP 8.5, downscaled to 2km grids.
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These raster datasets represent historical stand age. The last four digits of the file name specifies the year represented by the raster. For example a file named Age_years_historical_1990.tif represents the year 1990. Cell values represent the age of vegetation in years since last fire, with zero (0) indicating burned area in that year. Files from years 1860-2006 use a variety of historical datasets for Boreal ALFRESCO model spin up and calibration to most closely match historical wildfire dynamics.
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Potential Evapotranspiration (PET): These data represent decadal mean totals of potential evapotranspiration estimates (mm). The file name specifies the decade the raster represents. For example, a file named pet_mean_mm_decadal_MPI_ECHAM5_A1B_annual_2000-2009.tif represents the decade spanning 2000-2009. The data were generated by using the Hamon equation and output from ECHAM5, a fifth generation general circulation model created by the Max Planck Institute for Meteorology in Hamburg Germany. Data are at 2km x 2km resolution, and all data are stored in geotiffs. Calculations were performed using R 2.12.1 and 2.12.2 for Mac OS Leopard, and data were formatted into geotiffs using the raster and rgdal packages. Users...
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More than 35,000 lakes larger than 0.01 sq. km. were extracted from an airborne interferometric synthetic aperture radar (IfSAR) derived digital surface model acquired between 2002 and 2006 for the Western Arctic Coastal Plain of northern Alaska. The IfSAR derived lake data layer provides an improvement over previously available datasets for the study area since it is more comprehensive and contemporary. Attributes assigned to the IfSAR-derived lake dataset include: area, lake elevation, elevation in 10, 25, 50, and 100 m buffers around a lake perimeter, the difference in elevation between the lake and these various buffers, whether a particular lake had a detectable drainage gradient exceeding 1.2 m, whether a...
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The Red Phalarope commonly breeds on the Arctic Coastal Plain of Alaska, but is moreabundant west of the Colville River primarily near the coast (Johnson et al. 2007). In Alaska, thisspecies almost exclusively nests in wet/moist polygonal or marshy tundra and are dependent onaquatic food sources for much of their diet (Tracy et al. 2002). Red Phalaropes are the mostpelagic of the three phalarope species and spend most of their winters in subtropical and tropicalseas near areas of nutrient upwelling (Tracy et al. 2002). Current population estimate of theNorth American population is 1.25 million with a suspected declining trend (Morrison et al.2006).
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This dataset consists of a polygon vector file representing 767 plots surveyed as part of the Program for Regional and International Shorebird Monitoring (PRISM). For each plot, information pertaining to shorebird abundance, occupancy, and species richness is provided. This dataset was derived from single-visit rapid area shorebird surveys in which 1-2 surveyors recorded all suspected breeding shorebirds within the plot boundary. These data were acquired over the Arctic Coastal Plain of Alaska during nine years between 1998 and 2008 (surveys not conducted in 2003 and 2005).
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Water availability, distribution, quality and quantity are critical habitat elements for fish and other water-dependent species. Furthermore, the availability of water is also a pre-requisite for a number of human activities. The density of weather and hydrology observation sites on the North Slope is orders of magnitude less than in other parts of the U.S., making it difficult to document hydrologic trends and develop accurate predictive models where water is a key input. The information that does exist is scattered among many entities, and varies in format. This multi-year data rescue effort project brings together these scarce and scattered hydrology data sets, including high-priority datasets held by the Bureau...
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These raster datasets represent historical stand age. The last four digits of the file name specifies the year represented by the raster. For example a file named Age_years_historical_1990.tif represents the year 1990. Cell values represent the age of vegetation in years since last fire, with zero (0) indicating burned area in that year. Files from years 1860-2006 use a variety of historical datasets for Boreal ALFRESCO model spin up and calibration to most closely match historical wildfire dynamics.
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These raster datasets are output from the Geophysical Institute Permafrost Lab (GIPL) model and represent simulated active layer thickness (ALT) in meters averaged across a decade. These data were generated by driving the GIPL model with a composite of five GCM model outputs for the A1B emissions scenario. The file name specifies the decade the raster represents. For example, a file named ALT_1980_1989.tif represents the decade spanning 1980-1989. Cell values represent simulated maximum depth (in meters) of thaw penetration (for areas with permafrost) or frost penetration (for areas without permafrost). If the value of the cell is positive, the area is underlain by permafrost and the cell value specifies the depth...
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This dataset includes First Snow Date(fsdt) for northern Alaska in GeoTiff format, covering the years 1980-2012. First Snow Date is defined as day of first snow occurrence during the year(day of simulation). The dataset was generated by the Arctic LCC SNOWDATA: Snow Datasets for Arctic Terrestrial Applications project.The simulation period runs from 1 September – 31 August. “Day-of-simulation” takes the value of “1” on 1 September, “123” on 1 January, and “365” on 31 August. “Day-of-simulation” files should be used for analysis (trend, mean, etc.).The dataset is delivered in the ZIP archive file format. Each year is output in a separate GeoTiff file, where the year is indicated by the filename.Over the last 20 years,...
Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: AIR TEMPERATURE, AIR TEMPERATURE, ALBEDO, ALBEDO, Academics & scientific researchers, All tags...
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This dataset includes Last Snow Date(lsdy) for northern Alaska in GeoTiff format, covering the years 1980-2012. Last Snow Date is defined as day of last snow occurrence during the year(day of year). The dataset was generated by the Arctic LCC SNOWDATA: Snow Datasets for Arctic Terrestrial Applications project.“Day-of-year” (doy) output is expressed in Ordinal dates (“1” on 1 January, and “365” on 31 December). Dates have not been corrected for leap years. This output is appropriate for display purposes, as it is readily interpreted as calendar day of year. It is not recommended as input for analysis, as it may produce incorrect statistics; “day-of-simulation” (dos) files should be used for that purpose.“Day-of-year”...
Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: AIR TEMPERATURE, AIR TEMPERATURE, ALBEDO, ALBEDO, Academics & scientific researchers, All tags...
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Map of the Agashashok River Area and location of proposed observation sites (numbered circles). This focal watershed is in the southwest corner of the Arctic LCC and largely drains the Brooks Range ecoregion with a small portion of the lower basin in the Kobuk Ridges and Valleys ecoregion. The braided character of the lower river prevents us from suggesting a long term gaging station in that location. Inset shows the location of the seven TEON focal watersheds. Image by Arctic LCC staff.
Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: AIR TEMPERATURE, AIR TEMPERATURE, ATMOSPHERE, ATMOSPHERE, Academics & scientific researchers, All tags...
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This dataset includes Solid Precipitation(spre) for northern Alaska in GeoTiff format, covering the years 1980-2012. Solid Precipitation is defined as snowfall(m/yr). The dataset was generated by the Arctic LCC SNOWDATA: Snow Datasets for Arctic Terrestrial Applications project.The dataset is delivered in the ZIP archive file format. Each year is output in a separate GeoTiff file, where the year is indicated by the filename.Over the last 20 years, under a variety of NOAA, NSF, and NASA research programs, a snow-evolution modeling system has been developed that includes the MicroMet micrometeorological model, the SnowModel snow-process model, and the SnowAssim data assimilation model. These modeling tools can be...
Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: AIR TEMPERATURE, AIR TEMPERATURE, ALBEDO, ALBEDO, Academics & scientific researchers, All tags...
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Average historical annual total precipitation, projected total precipitation (inches), and relative change in total precipitation (% change from baseline) for Northern Alaska. GIF formatted animation and PNG images. Maps created using the SNAP 5-GCM composite (AR5-RCP 8.5) and CRU TS3.1.01 datasets.


map background search result map search result map Yukon Slope Wildlife Management Plan SNOWDATA GeoTIFF Annual First Snow Date SNOWDATA GeoTIFF Annual Last Snow Date (year) Arctic LCC Boundary Map, Satellite - PDF Northern Alaska Landscape/Permafrost GIS files SNOWDATA GeoTIFF Annual Solid Precipitation Simulated Active Layer Thickness Hydroclimatological Data Rescue Project Final Report - Executive Summary Potential Evapotranspiration 2070-2079: ECHAM5 - A1B Scenario Agashashok River Watershed map White-crowned Sparrow Western Arctic Coastal Plain, IfSAR DSM Mosaic Red Phalarope North Slope PRISM Shorebird Location and Plot Survey Geodatabase Winter Temperature Maps - RCP 6.0, Fahrenheit Historical Stand Age 2000-2006 Annual Precipitation Animation - RCP 8.5, Inches Active Layer Thickness 1980-1989 Historical Stand Age 1890-1899 Western Arctic Coastal Plain, IfSAR DSM Mosaic Agashashok River Watershed map White-crowned Sparrow Red Phalarope North Slope PRISM Shorebird Location and Plot Survey Geodatabase Northern Alaska Landscape/Permafrost GIS files Hydroclimatological Data Rescue Project Final Report - Executive Summary Yukon Slope Wildlife Management Plan SNOWDATA GeoTIFF Annual First Snow Date SNOWDATA GeoTIFF Annual Last Snow Date (year) SNOWDATA GeoTIFF Annual Solid Precipitation Simulated Active Layer Thickness Potential Evapotranspiration 2070-2079: ECHAM5 - A1B Scenario Historical Stand Age 2000-2006 Active Layer Thickness 1980-1989 Historical Stand Age 1890-1899 Arctic LCC Boundary Map, Satellite - PDF Winter Temperature Maps - RCP 6.0, Fahrenheit Annual Precipitation Animation - RCP 8.5, Inches