Resources

LCCs have produced a wealth of informational documents, reports, fact sheets, webinars and more to help support resource managers in designing and delivering conservation at landscape scales.

The Semipalmated Sandpiper is likely the most abundant breeding shorebird on the Arctic
Coastal Plain of Alaska, with the highest densities occurring in the western portion of the coastal
plain (Johnson et al. 2007). In Arctic Alaska, this species nests in a range of upland dry to moist
and wet tundra habitats near water and typically focus their foraging along marsh and pond edges
(Gratto-Trevor 1992). The current North American population estimate is 2 million (Morrison et

Date posted: June 23, 2018

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.

Date posted: June 23, 2018

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.

Date posted: June 23, 2018

This dataset includes Annual Average 10-M Air Temperature(tair) for northern Alaska in GeoTiff format, covering the years 1980-2012. Annual Average 10-M Air Temperature is defined as (degrees Celsius). 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.

Date posted: June 23, 2018

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.).

Date posted: June 23, 2018

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.

Date posted: June 23, 2018

The American Golden-plover is a conspicuous breeding bird in Arctic Alaska with slightly
higher density in the Brooks Range foothills compared to the coastal plain (Johnson et al. 2007).
In general, this species tends to nest in upland dry habitats, quite often near wetland areas
(Johnson and Connors 1996). Like other plovers, American Golden-plovers search for
invertebrate prey visually and forage in a mix of wet to dry tundra during the breeding season.
This species winters primarily in the southern portion of South America (Johnson and Connors

Date posted: June 23, 2018

This map was created by Arctic LCC staff and depicts the general boundaries of the Arctic LCC within Alaska. This map is in PNG format, suitable for presentations.

Date posted: June 23, 2018

The North Slope Science Initiative (NSSI) identified an updated, consistent and accurate land cover data set as a primary base layer requirement for its long-term science and planning activities on the North Slope. The map described in this document is the outcome of a multi-year project to produce a moderate resolution land cover base layer to meet NSSI requirements. New Landsat Thematic Mapper (TM) 30 meter resolution landcover maps were produced for the far western arctic, and for the area between the National Petroleum Reserve - Alaska (NPRA) and Arctic National Wildlife Refuge.

Date posted: June 23, 2018

The Northern Pintail is the most common breeding dabbling duck in Arctic Alaska, with its core
breeding area centered on the coastal plain. In Alaska this species nests on wet sedge (Carex) or
grass meadows, sloughs, river banks, pond shores and in tidal habitats (Austin and Miller 1995).
During the breeding season pintails consume mostly animal foods (aquatic invertebrates)
although they switch to a largely vegetarian diet later in summer and fall (Austin and Miller

Date posted: June 23, 2018

The Parasitic Jaeger, unlike the two other jaegers (the Long-tailed and Pomarine Jaegers), has a
varied diet and is not closely tied to lemmings as a food source (Wiley and Lee 1999). This
species utilizes both low-lying marshy tundra and drier tussock-heath tundra for nesting sites
(Wiley and Lee 1999). Parastic Jaegers often hunt for fledgling and adult birds and are believed
to be an important nest predator (Wiley and Lee 1999). Like the other jaeger species, Parasitic

Date posted: June 23, 2018

The Buff-breasted Sandpiper is known for its dramatic lekking displays and breeds near arctic
coastlines from central Alaska into Canada (Lanctot and Laredo 1994). This species nests in a
variety of habitats ranging from dry sedge tussock tundra to wet sedge-graminoid meadows and
strangmoor (Lanctot and Laredo 1994). Buff-breasted Sandpipers typically forage in areas of
dry, elevated tundra with sparse vegetation primarily consuming terrestrial arthropods (Lanctot

Date posted: June 23, 2018

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.

Date posted: June 23, 2018

A gull of the Subarctic and Arctic, the Sabine’s Gull, with its distinctive plumage, commonly
nests in the Alaskan Arctic, often in association with Arctic Terns (Sterna paradisaea). This
species typically nests near fresh water in swampy low-lying tundra, in tidal marshes, and on
small coastal islands (Day et al. 2001). During the breeding season, aquatic insects and other
invertebrates are their most important food items (Day et al. 2001). Sabine’s Gulls spend their

Date posted: June 23, 2018

The Savannah Sparrow has a widespread breeding range across North America from the
southern U.S. to Arctic Alaska. This species will breed in open habitats ranging from meadows,
cultivated fields, grazed pastures, roadsides, coastal grasslands and tundra (Wheelwright and
Rising 2008). On the coastal plain of Arctic Alaska, tundra nesting habitat is often associated
with stream/river drainages, nesting on the ground often hidden under low shrubs (Wheelwright
and Rising 2008). During the breeding season they forage in a wide range of habitats on a variety

Date posted: June 23, 2018

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.

Date posted: June 23, 2018

The Greater White-fronted Goose, with a nearly circumpolar distribution, has the most expansive
range of any species in its genus. In Alaska, this species breeds in large numbers in both the
Yukon-Kuskokwim Delta and also on the Arctic Coastal Plain, but they will also nest in the
interior. On the coastal plain breeding habitat ranges from lowland wet to upland dry tundra
often near ponds or lakes (Ely and Dzubin 1994). The Greater White-fronted Goose diet is
dominated by vegetative matter, primarily grass and sedge rhizomes, tubers, and berries (Ely and

Date posted: June 23, 2018

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.

Date posted: June 23, 2018

Ideal observation sites are located near tributary-mainstem confluences and provide frequent,
synchronous measurements of physical, chemical, and biological attributes. This “nested watershed”
design supports characterization of environmental conditions adjacent to the sampling stations, while
instream hydrological measurements will reflect both local conditions and inputs from upstream.
TEON observations sites are stratified by ecoregions, so we can aggregate data sets across the network to
characterize conditions at the ecoregion scale.

Date posted: June 23, 2018

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.

Date posted: June 23, 2018

The Stilt Sandpiper is an uncommon to common breeding shorebird on the Arctic Coastal Plain
of Alaska that typically nests near the coast from the Canadian border to the Barrow area
(Johnson et al. 2007, Klima and Jehl 2012). Highest known breeding densities occur in Arctic
Canada where they often nest in taiga and boreal habitats

Date posted: June 23, 2018

The Beaufort Sea coast in arctic Alaska and neighboring northern Canada has recently experienced extreme and accelerated climate change, including a dramatic reduction in summer sea ice (Gildor and Tziperman 2003, Holland et al. 2006). This absence of ice allows increased wind and wave energy to directly affect the coast, resulting in island and mainland flooding, coastal erosion, and further movement of barrier islands and beaches. The period each year in which the arctic is free of summer ice is increasing and is predicted to increase non-linearly in the future.

Date posted: June 23, 2018

Lake polygons within the Fish Creek Watershed, Alaska were created and classified for a number of variables relevant to size, depth, hydrology, connectivity etc. Products derived from a 5m resolution IfSAR digital surface model by calculating a zero slope. Each feature was expanded by one pixel around the entire perimeter since all waterbodies were truncated by this during the slope calculation. Lakes >=1ha were manually extracted from the dataset and their perimeters further corrected using 2002 CIR orthophotography.

Date posted: June 23, 2018

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.

Date posted: June 23, 2018

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.

Date posted: June 23, 2018

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.

Date posted: June 23, 2018

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.

Date posted: June 23, 2018

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.

Date posted: June 23, 2018

This dataset includes Snow Up Date(sudt) for northern Alaska in GeoTiff format, covering the years 1980-2012. Snow Up Date is defined as day of the start of the core snow period(day of simulation). The core snow season is defined to be the longest period of continuous snow cover in each year. The dataset was generated by the Arctic LCC SNOWDATA: Snow Datasets for Arctic Terrestrial Applications project.

Date posted: June 23, 2018

The maps show baseline (1961-1990) average air temperature and projected air temperature for the decades spanning 2010-2039, 2040-2069, and 2070-2099. Temperature is expressed in both Celsius (у) and Fahrenheit (ц). Baseline results for 1961-1990 are derived from Climate Research Unit (CRU) TS 3.1. data and maps for future time periods are based on a composite of projections from five GCMs (CCSM4, GFDL-CM3, GISS-E2-R, IPSL-CM5A-LR, and MRI-CGCM3) under the AR5-RCP 6.0. Data courtesy of Scenarios Network for Alaska and Arctic Planning.

Date posted: June 23, 2018

The Tundra Swan is the more widespread and northerly ranging of the two native swan species
in North America. In Arctic Alaska, they nest in wet to dry tundra habitat types preferring islands
in lakes or ponds, or naturally occurring frost heaves at the intersection of polygon pond rims.
Nesting territories almost always include a large lake that the family will use as a safe haven
from terrestrial predators (Limpert and Earnst 1994). During the breeding season, their diet is

Date posted: June 23, 2018

This is a collection of GIF-format animations and PNG images that are suitable for presentations. These products include images for the baseline period (1961-1990) and images for each decade between 2010 and 2090. Baseline values are derived from Climate Research Unit (CRU) TS 3.1. or TS 3.1.01 data; values for future time periods are based on the SNAP 5-GCM composite under the AR5-RCP 6.0 and AR5-RCP 8.5.

Date posted: June 23, 2018

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.

Date posted: June 23, 2018

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.

Date posted: June 23, 2018

ShoreZone is a coastal habitat mapping and classification system in which
georeferenced aerial imagery is collected specifically for the interpretation and
integration of geological and biological features of the intertidal zone and nearshore
environment.

Date posted: June 23, 2018

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.

Date posted: June 23, 2018

More than 35,000 lakes larger than 0.01 km2 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.

Date posted: June 23, 2018

Average historical annual total precipitation (inches) 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.

Date posted: June 23, 2018

Map of the Hulahula River Area and location of observation sites. This focal watershed provides the greatest opportunity to characterize conditions within and fluxes from the Brooks Range Ecoregion. Though the Foothills region is
extensive, the watersheds narrow as they cross the Coastal Plain in the eastern
part of the North Slope. Inset shows the location of the seven TEON focal watersheds. Image by Arctic LCC staff.

Date posted: June 23, 2018

Numerous studies have evaluated precipitation trends in Alaska and come to different conclusions. These studies differ in analysis period and methodology and do not address the issue of temporal homogeneity.

Date posted: June 23, 2018

The Red Phalarope commonly breeds on the Arctic Coastal Plain of Alaska, but is more
abundant west of the Colville River primarily near the coast (Johnson et al. 2007). In Alaska, this
species almost exclusively nests in wet/moist polygonal or marshy tundra and are dependent on
aquatic food sources for much of their diet (Tracy et al. 2002). Red Phalaropes are the most
pelagic of the three phalarope species and spend most of their winters in subtropical and tropical

Date posted: June 23, 2018

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)

Date posted: June 23, 2018

Baseline (1961-1990) average air temperature (degree C) for Alaska and Western Canada. This zip file contains three GeoTIFF rasters. The file names identifies whether a file represents an annual mean or a seasonal mean (i.e., summer or winter). Summer is defined as June - August; winter is defined as December - February. Baseline data are derived from Climate Research Unit (CRU) TS 3.1 data. CRU data courtesy of Scenarios Network for Alaska and Arctic Planning.

Date posted: June 23, 2018

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.

Date posted: June 23, 2018

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.

Date posted: June 23, 2018

This dataset includes First Snow Date(fsdy) 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 year). The dataset was generated by the Arctic LCC SNOWDATA: Snow Datasets for Arctic Terrestrial Applications project.

Date posted: June 23, 2018

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.

Date posted: June 23, 2018

Final report detailing the results of the climate change vulnerability assessment conducted by the Wildlife Conservation Society.
The specific goals of this assessment were to: provide a climate change vulnerability ranking for selected Arctic Alaskan breeding bird species; evaluate the relative contribution of specific sensitivity and exposure factors to individual species rankings; consider how this assessment may be integrated with other approaches; and appraise the effectiveness of the NatureServe Climate Change Vulnerability Index (CCVI) tool.

Date posted: June 23, 2018

The Greater Scaup is the only diving duck in the genus Aythya that has a circumpolar
distribution. In Alaska this species has its highest nesting densities in the Yukon-Kuskokwim
Delta but they also breed in Arctic Alaska throughout the Brooks Range, foothills and Arctic
Coastal Plain. Its breeding habitat is typically characterized by relatively shallow (1–2 m) lakes
and large ponds with low surrounding vegetation in extensive, largely treeless, wetlands (Kessel
et al. 2002). Greater Scaup have an omnivorous diet but tend to focus on more protein-rich

Date posted: June 23, 2018

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.

Date posted: June 23, 2018