Filters: partyWithName: LCC Network Data Steward (X) > partyWithName: Arctic Landscape Conservation Cooperative (X)
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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.
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.
The Arctic Landscape Conservation Cooperative (LCC) and the North Slope Science Initiative have both identified the importance of synthesizing and disseminating existing climate and hydrology data as well as improving the design of climate and hydrologic monitoring networks to meet management and research needs. We have partnered with the Arctic LCC to address this issue. During this project we designed a geodatabase called Imiq, inventoried hydrologic, climate, and related datasets, and populated the Imiq database with both data and metadata. Finally, we analyzed some of the spatial characteristics of the existing hydroclimate data and the observational network structure, in an effort to inform the development...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: ABLATION,
ABLATION,
ACTIVE LAYER,
ACTIVE LAYER,
ALBEDO,
The Savannah Sparrow has a widespread breeding range across North America from thesouthern 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 andRising 2008). On the coastal plain of Arctic Alaska, tundra nesting habitat is often associatedwith stream/river drainages, nesting on the ground often hidden under low shrubs (Wheelwrightand Rising 2008). During the breeding season they forage in a wide range of habitats on a varietyof insect prey although seeds and other vegetative matter are also consumed (Wheelwright andRising 2008). Savannah Sparrows are short-distance migrants and winter in the...
The Snowy Owl, a conspicuous and majestic bird of the circumpolar arctic, is an efficient hunterof small mammals in tundra environs. In years of high lemming numbers they will focus on thisabundant food source but will readily switch to a wide variety of other prey when lemmings arescarce (Parmelee 1992). Their breeding range in Alaska is generally restricted to the ArcticCoastal Plain, typically nesting in more upland tundra habitats, although they often, though notexclusively, forage in wetter tundra (Parmelee 1992). Snowy Owls are unpredictable migrantsand will sometimes “invade” portions of southern Canada and the northern contiguous US, inwinters when lemmings are scarce in the Arctic. The current global population...
The Common Eider, a large sea duck, is more closely tied to marine environments than are manyother sea ducks. On the Arctic Coastal Plain of Alaska this species nests primarily on barrierislands and peninsulas of the Arctic Coastal Plain (a small proportion of the total area) while inother parts of its range they select quite varied nesting sites (Goudie et al. 2000). Common eidersdepend on a marine prey base, eating invertebrates (primarily mollusks and crustaceans) bydiving to the sea floor. Alaskan breeders spend their winters nearby in the Bering Sea, Gulf ofAlaska, and off Russia’s Chukotka Peninsula (SDJV 2004). Current Arctic Coastal Plainpopulation is estimated at approximately 2,000 (Dau and Bollinger 2009).
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.
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Arctic Landscape Conservation Cooperative data.gov,
Interested public,
LCC Network Science Catalog,
PRECIPITATION,
PRECIPITATION,
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.
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Arctic Landscape Conservation Cooperative data.gov,
Interested public,
LCC Network Science Catalog,
PRECIPITATION,
PRECIPITATION,
Baseline (1961-1990) average summer total precipitation and projected change in precipitation for the northern portion of Alaska. For the purposes of these maps, ‘summer’ is defined as June - August. 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) TS 3.1.01 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.
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Arctic Landscape Conservation Cooperative data.gov,
Interested public,
LCC Network Science Catalog,
PRECIPITATION,
PRECIPITATION,
Average historical total precipitation (mm) in summer (June - August) 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.
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Arctic Landscape Conservation Cooperative data.gov,
Interested public,
LCC Network Science Catalog,
PRECIPITATION,
PRECIPITATION,
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.
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Arctic Landscape Conservation Cooperative data.gov,
Interested public,
LCC Network Science Catalog,
PRECIPITATION,
PRECIPITATION,
Results indicate that the regions most vulnerable to ecological shifts under the influence of climate change are likely to be the interior and northern mountainous portions of Alaska; the northern Yukon; and much of the Northwest Territories. Although the A1B and A2 emissions scenarios predict more cliome shift overall, as compared to the more conservative B1 scenario, the patterns hold true across all three. Notably, there are no areas of the NWT predicted to retain their current cliomes.
This project used previously collected ShoreZone imagery to map nearly 1,600 km of coastline between Wales and Kotzebue. With additional mapping supported by the Arctic LCC and National Park Service, this effort completed the Kotzebue Sound shoreline, which now has been included in the state-wide ShoreZone dataset. The complete ShoreZone dataset for the region was used to conduct a coastal hazards analysis and create maps that identify areas undergoing rapid coastal erosion and areas that are sensitive to inundation by storm surge and sea level rise.​
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...
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