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The Western Sandpiper is one of the most abundant sandpipers in the western hemisphere. InAlaska, the core of its breeding population is in the Yukon-Kuskokwim River Delta. It alsobreeds less commonly in the western portion of the North Slope (Johnson et al. 2007). Thisspecies nests in well-drained moist to upland tundra habitats dominated by dwarf shrubs andtussock grasses (Wilson 1994).
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Researchers from the University of Alaska Fairbanks (UAF) willinvestigate glacier-climate interactions within the ArcticNational Wildlife Refuge, including impacts of glacier change onthe downstream aquatic ecosystems. This work builds upon theonly long-term monitoring program of glaciers in Arctic Alaska.
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These rasters represent output from the Boreal ALFRESCO (Alaska Frame Based Ecosystem Code) model. Boreal ALFRESCO operates on an annual time step, in a landscape composed of 1 x 1 km pixels, a scale appropriate for interfacing with mesoscale climate and carbon models. 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. Coverage of this dataset includes much of the state of Alaska (but does exclude Southeastern AK, Kodiak Island, portions of the Alaska Peninsula, and the Aleutian Islands)....
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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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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_CCCMA_CGCM31_A1B_annual_2000-2009.tif represents the decade spanning 2000-2009. The data were generated by using the Hamon equation and output from CCCMA (also CGCM3.1), a third generation coupled global climate model created by the Canadian Centre for Climate Modeling and Analysis. 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...
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The White-rumped Sandpiper is a small shorebird that is a relatively rare breeder in ArcticAlaska. They nest in coastal wetlands between Barrow and Cape Halkett on the Arctic CoastalPlain of Alaska
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Map of the Upper Koyukuk River Area and location of proposed observation sites (numbered circles). This large area drains the southern Brooks Range ecoregion and extends downstream into the Kobuk Ridges and Valleys outside of the Arctic LCC boundary. Compared to other sites in TEON, these rivers are larger basins and reflect higher relief landscapes. Inset shows the location of the seven TEON focal watersheds. Image by Arctic LCC staff.
This polygon feature class represent areas surveyed for yellow-billed loons (Gavia adamsii) and is one component of the Yellow-billed Loon Geodatabase. This database is intended to be a qualitative “first look” at where yellow-billed loons have been recorded and where surveys have been conducted. This spatial dataset is intended for general planning and mapping purposes rather than for deriving density estimates. The geodatabase is comprised of two feature classes (observations and survey_poly) and two tables (incidental_attributes and reference_information)
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The ShoreZone in the Classroom Curriculum Implementation project built upon the ShoreZone in the Classroom Pilot Networking Trip. Educational Consultant Marie Acemah liaised over email and in-person at the North Slope School District (NSBSD) Curriculum Camp in Barrow to develop Curricular Units that make ShoreZone available as an educational tool in NSBSD classrooms. This project resulted in two Units, specifically: 1) Coastal Ecosystems Unit; and 2) Documentary Filmmaking Summer Intensive Proposal. The ShoreZone tool is now available and accessible throughout the NSBSD district. The District and the Ilusagvik College are interested in partnering with ShoreZone to lead for-credit summer documentary film camps in...
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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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Average historical annual total precipitation (mm) and projected relative change in total precipitation (% change from baseline) for Northern Alaska. 30-year averages. Handout format. Maps created using the SNAP 5-GCM composite (AR5-RCP 6.0) and CRU TS3.1.01 datasets.
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The Long-billed Dowitcher is a medium-sized shorebird that commonly breeds on the ArcticCoastal Plain of Alaska. This species nests in higher densities in the western portion of thecoastal plain compared to the east (Johnson et al. 2007). They prefer wet grassy meadows fornesting often showing an affinity for sedge-willow, wet meadow or sedge marsh along drainagesor near ponds (Takekawa and Warnock 2000). Long-billed Dowitchers generally migrate west ofthe Mississippi River and winter primarily along the Pacific and Gulf Coasts of North Americainto Mexico (Takekawa and Warnock 2000). Current population estimate of the North Americanpopulation is 400,000 (Morrison et al. 2006).
The Arctic LCC has developed a Project Tracking System(PTS) to electronically manage the metadata and data associated with projects. The PTS is used to track projects throughout all stages of development, from receipt of proposals through delivery of final products. The PTS allows staff to access and manage project data using a web browser and is developed and designed to operate on open source software. The Arctic LCC is making the open source code for the PTS available to anyone wishing to develop their own method of tracking projects.
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Airborne electromagnetic (AEM) and magnetic survey data were collected during October 2014 in a 553-square-kilometer area that includes the East Poplar oil field on the Fort Peck Indian Reservation in northeastern Montana, USA. Data surround the city of Poplar and extend south into the Missouri River floodplain. Data were acquired with the SkyTEM301 transient electromagnetic helicopter-borne system together with a Geometrics G-822 magnetometer. The AEM average depth of investigation is about 80 m. The survey was flown at a nominal flight height of 30 m above terrain along north-south oriented flight lines; the majority of lines had a nominal spacing of 200 m with a sub-block area in the central portion of the oil...
Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: CGGSC, City of Poplar, Crustal Geophysics and Geochemistry Science Center, East Poplar Oil Field, Energy Resources Program, All tags...
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There are many challenges in detecting precipitation trends in Alaska. The most substantial are the small number of observations, inhomogeneities, differences among gridded data sets, and differentiating between long-term trends and decadal variability. Analyzing both station and regional products will increase our understanding of where local trends in precipitation may differ significantly from regional trends, providing key information for developing better downscaled climate projections. These in turn, will provide insight into fine scale heterogeneity in climate change that may be important in determining the stability of key habitat features, such as wetlands and insect avoidance areas. As a by-product of...
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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_CRU_Historical_annual_1930-1939.tif represents the decade spanning 1930-1939. The data were generated by using the Hamon equation and output from a statistically downscaled version of the Hadley Centre’s CRU TS3.0 observational dataset. 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 are reminded that the PET estimates...
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We mosaicked twelve LandSat-8 OLI satellite images taken during the summer of 2014, which were used in an object based image analysis (OBIA) to classify the landscape. We mapped seventeen of the most dominant geomorphic land cover classes on the ACP: (1) Coastal saline waters, (2) Large lakes, (3) Medium lakes, (4) Small lakes, (5) Ponds, (6) Rivers, (7) Meadows, (8) Coalescent low-center polygons, (9) Low-center polygons, (10) Flat-center polygons, (11) High-center polygons, (12) Drained slope, (13) Sandy barrens, (14) Sand dunes, (15) Riparian shrub, (16) Ice, and (17) Urban (i.e. towns and roads). Mapped products were validated with an array of oblique aerial/ground based photography (Jorgenson et al., 2011)...
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The distribution and abundance of fishes across the Alaska Arctic is not well understood. Better information on fish distribution is needed for habitat assessment and modeling activities and is also important for planning industrial activities. The State of Alaska maintains a fish distribution database for anadromous fish species, however there is currently no analog for resident fish species. The concept behind AquaBase was to fill the information gap for resident fish by design a database that contains information about all fish species. AquaBase does not duplicate information that is already available in other spatial database, but rather ‘rescues’ data from reports that are not readily available.


map background search result map search result map Airborne electromagnetic and magnetic survey data, East Poplar Oil Field and surrounding area, October 2014, Fort Peck Indian Reservation, Montana A Sense of Place: Inupiat Knowledge of the Coast using Aerial Imagery Arctic LCC Boundary Map, Satellite Annual Precipitation Maps - RCP 6.0, Millimeters Alaskan Arctic Coastal Plain Polygonal Geomorphology Map Aquabase shapefile and tables Stand Age Projections 2080-2089 Reconciling precipitation trends in Alaska: Comparison of trends in gridded precipitation products and station records Potential Evapotranspiration 1920-1929: CRU Historical Dataset Potential Evapotranspiration 2020-2029: ECHAM5 - A1B Scenario White-rumped Sandpiper Western Sandpiper TEON Watersheds and Observation Sites map Glaciers and Rivers in ArcticNWR Factsheet Upper Koyukuk River Watershed map Long-billed Dowitcher Potential Evapotranspiration 2000-2009: CCCMA - A1B Scenario Historical Stand Age 1960-1969 Airborne electromagnetic and magnetic survey data, East Poplar Oil Field and surrounding area, October 2014, Fort Peck Indian Reservation, Montana Glaciers and Rivers in ArcticNWR Factsheet Aquabase shapefile and tables A Sense of Place: Inupiat Knowledge of the Coast using Aerial Imagery TEON Watersheds and Observation Sites map Upper Koyukuk River Watershed map Alaskan Arctic Coastal Plain Polygonal Geomorphology Map White-rumped Sandpiper Western Sandpiper Long-billed Dowitcher Reconciling precipitation trends in Alaska: Comparison of trends in gridded precipitation products and station records Stand Age Projections 2080-2089 Potential Evapotranspiration 1920-1929: CRU Historical Dataset Potential Evapotranspiration 2020-2029: ECHAM5 - A1B Scenario Potential Evapotranspiration 2000-2009: CCCMA - A1B Scenario Historical Stand Age 1960-1969 Arctic LCC Boundary Map, Satellite Annual Precipitation Maps - RCP 6.0, Millimeters