Filters: Tags: NOS 2012 (X) > Types: Downloadable (X)
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Some of the NOS rasters intentionally do not align or have the same extent. These rasters were not snapped to a common raster per the authors' discretion. Please review selected rasters prior to use. These varying alignments are a result of the use of differing source data sets and all products derived from them. We recommend that users snap or align rasters as best suits their own projects. - This file includes a downscaled projection of decadal Mean Annual Ground Temperature at 1 Meter Depth (°C) for the decades 2010-2019, 2020-2029, and 2060-2069 at 2km spatial resolution. It represents the A2 emissions scenario and the spatial extent is the NOS REA study area.
Some of the NOS rasters intentionally do not align or have the same extent. These rasters were not snapped to a common raster per the authors' discretion. Please review selected rasters prior to use. These varying alignments are a result of the use of differing source data sets and all products derived from them. We recommend that users snap or align rasters as best suits their own projects. - This file includes a downscaled projection of decadal average January temperature (in °C) for the decades 2010-2019, 2020-2029, and 2060-2069 at 771x771 meter spatial resolution. The file represents a decadal mean calculated from monthly totals, using the A2 emissions scenario. The spatial extent is clipped to the NOS REA...
Some of the NOS rasters intentionally do not align or have the same extent. These rasters were not snapped to a common raster per the authors' discretion. Please review selected rasters prior to use. These varying alignments are a result of the use of differing source data sets and all products derived from them. We recommend that users snap or align rasters as best suits their own projects. - This file includes a downscaled projection of decadal average May temperature (in °C) for the decades 2010-2019, 2020-2029, and 2060-2069 at 771x771 meter spatial resolution. The file represents a decadal mean calculated from monthly totals, using the A2 emissions scenario. The spatial extent is clipped to the NOS REA study...
Some of the NOS rasters intentionally do not align or have the same extent. These rasters were not snapped to a common raster per the authors' discretion. Please review selected rasters prior to use. These varying alignments are a result of the use of differing source data sets and all products derived from them. We recommend that users snap or align rasters as best suits their own projects. - This file includes a downscaled projection of decadal average of spring (March, April, May) total precipitation (in millimeters) for the decades 2010-2019, 2020-2029, and 2060-2069 at 771x771 meter spatial resolution. The file represents a decadal mean of seasonal totals calculated from monthly totals, using the A2 emissions...
Some of the NOS rasters intentionally do not align or have the same extent. These rasters were not snapped to a common raster per the authors' discretion. Please review selected rasters prior to use. These varying alignments are a result of the use of differing source data sets and all products derived from them. We recommend that users snap or align rasters as best suits their own projects. - The fine-scale invasion vulnerability model, combining higher probability sites for non-native plant importation and establishment, suggests that the region currently and into the near term is likely to have a non-native plant species restricted to a very small area. By 2060 however, all villages and the human footprint associated...
Some of the NOS rasters intentionally do not align or have the same extent. These rasters were not snapped to a common raster per the authors' discretion. Please review selected rasters prior to use. These varying alignments are a result of the use of differing source data sets and all products derived from them. We recommend that users snap or align rasters as best suits their own projects. - As a final measure of potential human impacts to the ecoregions, the impacts of current anthropogenic development are summarized in a 60 x 60 m grid by the landscape condition model (LCM). The LCM weights the relative influence of different types of human footprints based on factors like permanence, nature of the activity,...
Some of the NOS rasters intentionally do not align or have the same extent. These rasters were not snapped to a common raster per the authors' discretion. Please review selected rasters prior to use. These varying alignments are a result of the use of differing source data sets and all products derived from them. We recommend that users snap or align rasters as best suits their own projects. - Assessing the impact of oil and gas development on vegetation and hydrology on the North Slope study area involves identifying the accumulation of effects and assessing the relative magnitude of each. Impacts on vegetation include the direct effects associated with the construction of pipelines, roads, gravel pads, and seismic...
Some of the NOS rasters intentionally do not align or have the same extent. These rasters were not snapped to a common raster per the authors' discretion. Please review selected rasters prior to use. These varying alignments are a result of the use of differing source data sets and all products derived from them. We recommend that users snap or align rasters as best suits their own projects. - Growing season length and change in growing season length were extracted to the distribution of foothills tussock tundra. Near-term (2020s) increases in July temperature are not expected to be significant; however significant increases are projected across 72% of the of foothills tussock tundra distribution in the long term...
Some of the NOS rasters intentionally do not align or have the same extent. These rasters were not snapped to a common raster per the authors' discretion. Please review selected rasters prior to use. These varying alignments are a result of the use of differing source data sets and all products derived from them. We recommend that users snap or align rasters as best suits their own projects. - This file includes a downscaled projection of Snow Day Fraction (%) for the decades 2010-2019, 2020-2029, and 2060-2069, and months January, February, March, April, May, September, October, November, and December at 771x771 meter spatial resolution. The file represents a decadal mean calculated from monthly means, using the...
Some of the NOS rasters intentionally do not align or have the same extent. These rasters were not snapped to a common raster per the authors' discretion. Please review selected rasters prior to use. These varying alignments are a result of the use of differing source data sets and all products derived from them. We recommend that users snap or align rasters as best suits their own projects. - This file includes a downscaled projection of Snow Day Fraction (%) for the decades 2010-2019, 2020-2029, and 2060-2069, and months January, February, March, April, May, September, October, November, and December at 771x771 meter spatial resolution. The file represents a decadal mean calculated from monthly means, using the...
Some of the NOS rasters intentionally do not align or have the same extent. These rasters were not snapped to a common raster per the authors' discretion. Please review selected rasters prior to use. These varying alignments are a result of the use of differing source data sets and all products derived from them. We recommend that users snap or align rasters as best suits their own projects. - This file includes a downscaled projection of Snow Day Fraction (%) for the decades 2010-2019, 2020-2029, and 2060-2069, and months January, February, March, April, May, September, October, November, and December at 771x771 meter spatial resolution. The file represents a decadal mean calculated from monthly means, using the...
Some of the NOS rasters intentionally do not align or have the same extent. These rasters were not snapped to a common raster per the authors' discretion. Please review selected rasters prior to use. These varying alignments are a result of the use of differing source data sets and all products derived from them. We recommend that users snap or align rasters as best suits their own projects. - The fine-scale invasion vulnerability model, combining higher probability sites for non-native plant importation and establishment, suggests that the region currently and into the near term is likely to have a non-native plant species restricted to a very small area. By 2060 however, all villages and the human footprint associated...
Some of the NOS rasters intentionally do not align or have the same extent. These rasters were not snapped to a common raster per the authors' discretion. Please review selected rasters prior to use. These varying alignments are a result of the use of differing source data sets and all products derived from them. We recommend that users snap or align rasters as best suits their own projects. - Assessing the impact of oil and gas development on vegetation and hydrology on the North Slope study area involves identifying the accumulation of effects and assessing the relative magnitude of each. Impacts on vegetation include the direct effects associated with the construction of pipelines, roads, gravel pads, and seismic...
Some of the NOS rasters intentionally do not align or have the same extent. These rasters were not snapped to a common raster per the authors' discretion. Please review selected rasters prior to use. These varying alignments are a result of the use of differing source data sets and all products derived from them. We recommend that users snap or align rasters as best suits their own projects. - Growing season length and change in growing season length were extracted to the distribution of sand sheet moist tundra and wetland. Increases in July temperature both in the near and long term are not expected to be significant across most of the coastal plain ecoregion, including the arctic sandy lowland region. By the 2060s...
Wild and Scenic Rivers.
Willow ptarmigan (Lagopus lagopus) occupy the boreal and arctic northern hemisphere, and are one of the few bird species that remain in the Arctic year-round. In Alaska and northern Canada, willow ptarmigan are common in areas with patches of dense vegetation, especially where willow (Salix) or birch (Betula) shrubs are abundant. They are also found in sedge-willow (Carex-Salix) marshes, in meadows, along road and forest edges, and on open tundra. Unlike Rock Ptarmigan (L. muta), the species avoids dry, rocky areas. After chicks hatch, birds move to wetter areas, such as marshes and along streams. Willow ptarmigan were selected as a Terrestrial Fine-Filter CE for this assessment because they are an important prey...
Willow ptarmigan (Lagopus lagopus) occupy the boreal and arctic northern hemisphere, and are one of the few bird species that remain in the Arctic year-round. In Alaska and northern Canada, willow ptarmigan are common in areas with patches of dense vegetation, especially where willow (Salix) or birch (Betula) shrubs are abundant. They are also found in sedge-willow (Carex-Salix) marshes, in meadows, along road and forest edges, and on open tundra. Unlike Rock Ptarmigan (L. muta), the species avoids dry, rocky areas. After chicks hatch, birds move to wetter areas, such as marshes and along streams. Willow ptarmigan were selected as a Terrestrial Fine-Filter CE for this assessment because they are an important prey...
The majority of the transportation infrastructure is related to oil industry activities. Other community transportation infrastructure – existing and planned – is small in comparison to the oil industry’s activities, as well as small in comparison to other U.S. communities. The transportation network in the region includes airstrips, few paved or gravel roads within communities, and a network of trails to subsistence use areas and those that connect communities. Most communities in the region are located along the northern coast of Alaska, with Nuiqsut, Prudhoe Bay, Atquasuk, and Noatak located along rivers. Travel to and from communities in the region is largely limited to air travel. While many rivers in the region...
Fish occurrence data have been collected within the North Slope study area, however most of these data are presently available only in non-digitized format (e.g., hardcopies, inventory reports, unpublished data, etc.). Due to the lack of spatial data available, Alaska Natural Heritage Program began collaboration with BLM fisheries biologists to assist with their efforts to enter these fish distribution datasets into the geodatabase RipFish that was developed and is maintained by BLM. Our contribution to this database serves as a final product for the Aquatic Fine-Filter CEs for the Rapid Ecoregional Assessment and will allow managers to readily have access to fish distribution data and conduct future spatial analyses....
Species selected to represent the “Raptor Concentration Areas” assemblage for the North Slope study area include gyrfalcon (Falco rusticolus), peregrine falcon (Falco peregrinus tundrius), and rough-legged hawk (Buteo lagopus). These three species share similar habitats in arctic Alaska, but differ in seasonal distribution and prey preferences. Primary habitats include cliffs in riparian areas along river drainages and major tributaries, shale banks, mud or sand banks, scree and talus slopes, and steep escarpment faces. This species assemblage was nominated as a Terrestrial Fine-Filter CE because of the role raptors play as top trophic-level predators.
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