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Lack of complete snow cover for the past 3 winters in southwestern Alaska has forced agencies to postpone conducting moose surveys due to the likelihood of underestimating the population/lack of comparability to previous surveys. Poor snow conditions are known to lower the sightability of moose, yet, for most regions of Alaska, the variation in moose sightability during suboptimal conditions has not yet been quantified. Because scientists are predicting less snowfall in this region over the long term, research was initiated to estimate sightability correction factors (SCFc) to apply to abundance estimates.
Categories: Data;
Tags: Academics & scientific researchers,
CALIBRATION/VALIDATION,
CALIBRATION/VALIDATION,
DEER/MOOSE,
DEER/MOOSE,
Alaska is an expansive state with abundant water resources. The complex landscape is defined by water and ice, but Alaska lacks quality mapping of its surface water features. The Alaska Hydrography Technical Working Group and Alaska Hydrography Database have worked to establish the Alaska Hydrography Strategic Plan to promote and guide a core mission to efficiently serve the current and future hydrography needs of Alaska for the next five years. This work will update the state’s hydrography in the National Hydrography Database from its current condition to meet national 1:24,000-scale standards. This work has focused on coordination of hydrography needs with partners and land managers, planning for the future hydrography...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Federal resource managers,
LCC Network Science Catalog,
Policy makers & regulators,
Report,
State agencies,
The Fish Creek Watershed encompasses diverse aquatic habitats representative of much of the Arctic Coastal Plain of northern Alaska. Beyond surface water and permafrost responses caused by changes in climate, this landscape is also subject to potential land-use impacts related to petroleum development in the National Petroleum Reserve – Alaska (NPR-A). Thus, this region is an ideal setting to address aquatic habitat questions of longstanding interest to Arctic resource managers, scientists, and other stakeholders. Our multidisciplinary team is focusing on broad hypothesis that surface-water availability, connectivity, and temperature mediate aquatic habitats and trophic dynamics. We are working to understand and...
These data are the result of a geospatial analysis involving multi-year SAR-based lake ice regime classification using sigma-naught backscatter intensity from calibrated space-borne C-band SAR for thousands of lakes in 7 lake districts in Alaska, USA, detailed in Engram et al., (in review). Historically, radar backscatter from space-borne and airborne platforms shows a lower backscatter return from bedfast lake ice and a higher backscatter return from floating ice (where liquid phase water exists under the ice) (Jeffries, Morris, Weeks, & Wakabayashi, 1994; Weeks, 1977). We used a threshold method where the threshold to differentiate floating and bedfast ice regimes was determined for each year from the frequency...
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.
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)....
This raster, created in 2010, is output from the Geophysical Institute Permafrost Lab (GIPL) model and represents simulated mean annual ground temperature (MAGT) in Celsius, averaged across a decade, at the base of active layer or at the base of the seasonally frozen soil column. The file name specifies the decade the raster represents. For example, a file named MAGT_1980_1989.tif represents the decade spanning 1980-1989. Cell values represent simulated mean annual ground temperature (degree C) at the base of the active layer (for areas with permafrost) or at the base of the soil column that is seasonally frozen (for areas without permafrost). If the value of the cell is negative,the area has permafrost and the...
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...
This raster, created in 2010, is output from the Geophysical Institute Permafrost Lab (GIPL) model and represents simulated mean annual ground temperature (MAGT) in Celsius, averaged across a decade, at the base of active layer or at the base of the seasonally frozen soil column. The file name specifies the decade the raster represents. For example, a file named MAGT_1980_1989.tif represents the decade spanning 1980-1989. Cell values represent simulated mean annual ground temperature (degree C) at the base of the active layer (for areas with permafrost) or at the base of the soil column that is seasonally frozen (for areas without permafrost). If the value of the cell is negative,the area has permafrost and the...
The USGS St. Petersburg Coastal and Marine Science Center (USGS St. Pete) processed lidar topographic data in Alaska. Raw lidar data are not in a format that is generally usable by resource managers and scientists for scientific analysis. Converting dense lidar elevation data into a readily usable format without loss of essential information requires specialized processing. Project included processing of lidar data acquired in Summer 2010 along the North Slope of Alaska between Colville River and Hulahula River.
Over the last 3 years, high-resolution LiDAR elevation data has been acquired for much of the northern coast of Alaska in support of the USGS Coastal and Marine Geology Program’s National Assessment of Shoreline Change project. Because of funding limitations, LiDAR data were not collected over most river deltas and embayments. Subsequent discussions with scientists and managers from both public agencies and private organizations indicated a need and desire to fill the gaps in the coastal elevation data set, specifically over the low-lying deltas and estuaries that provide important habitat for migratory birds and other wildlife. The Arctic LCC provided support to help cover costs associated with acquiring and processing...
Categories: Data,
Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Academics & scientific researchers,
COASTAL AREAS,
COASTAL AREAS,
COASTAL ELEVATION,
COASTAL ELEVATION,
These maps were created by Arctic LCC staff and depict the general boundaries of the Arctic LCC. Maps and boundaries are subject to review and should not be used within a legal context. No warranty expressed or implied is made regarding the accuracy or utility of the data and information on any other system or for general or scientific purposes.
Categories: Collection,
Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: ADMINISTRATIVE DIVISIONS,
ADMINISTRATIVE DIVISIONS,
Arctic Landscape Conservation Cooperative data.gov,
BOUNDARIES,
BOUNDARIES,
This data set represents an updated Ecological Subsection Map for Northern Alaska. This 2012 revision focused on completing the incompletely mapped portion of the southern NPRA, improving mapping of glacial and outwash deposits within the Brooks Foothills, and improving consistency with existing surficial and bedrock geology maps in northern Alaska. The revisions resulted in 525 ecological subsections, nested within 55 ecosections and 12 ecoregions covering 411,781 km2. Attributes for the polygons include information on physiography, generalized geology, lithology, and referenced information sources. Description of attributes is provided in the map documentation report. The dataset can be downloaded from catalog.northslope.org
This map was created by Arctic LCC staff and depicts the general boundaries of the Arctic LCC within Alaska. This map is in JPG format, suitable for presentations.
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: ADMINISTRATIVE DIVISIONS,
ADMINISTRATIVE DIVISIONS,
Arctic Landscape Conservation Cooperative data.gov,
BOUNDARIES,
BOUNDARIES,
The Bureau of Land Management- Arctic Field Office has a requirement for coordinating research andmonitoring projects related to the effectiveness of stipulations and surface resource impacts in theNational Petroleum Reserve - Alaska. Yellow-billed Loons are among the least common breeding birdsin the mainland United States and the U.S. breeding population is concentrated largely within theNational Petroleum Reserve – Alaska (NPR-A). Interest in developing the oil and gas reserves withinNPR-A has increased within the last 10 years, along with a need for better information with which toprotect loon populations. Fundamental to protection strategies is a good understanding of distributionand abundance.In 2007, the...
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