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The YKD is also home to the largest subsistence-based economy in Alaska. Yet, the low-lying landscape mosaic characterizing the YKD is at risk of massive change associated with projected sea level rise (SLR), increasing storm frequency and severity and permafrost degradation due to future climate change. Therefore, to conserve ecosystem services associated with the botanical and faunal richness in the YKD, management strategies in the region should not only be based on current ecosystem conditions, but also incorporate projected changes in landscape composition. The goal of this project is to provide managers and people living in the YKD, an assessment of the vulnerability of the landscape to future change and to...
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This raster, created in 2010, is output from the Geophysical Institute Permafrost Lab (GIPL) model and represents simulated active layer thickness (ALT) in meters averaged across a decade. The file name specifies the decade the raster represents. For example, a file named ALT_1980_1989.tif represents the decade spanning 1980-1989. Cell values represent simulated maximum depth (in meters) of thaw penetration (for areas with permafrost) or frost penetration (for areas without permafrost). If the value of the cell is positive, the area is underlain by permafrost and the cell value specifies the depth of the seasonally thawing layer above permafrost. If the value of the cell is negative, the ground is only seasonally...
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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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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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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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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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The Integrated Ecosystem Model is designed to help resource managers understand the nature and expected rate of landscape change. Maps and other products generated by the IEM will illustrate how arctic and boreal landscapes are expected to alter due to climate-driven changes to vegetation, disturbance, hydrology, and permafrost. The products will also provide resource managers with an understanding of the uncertainty in the expected outcomes.
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This pilot project has initiated a long-term integrated modeling project that aims todevelop a dynamically linked model framework focused on climate driven changes tovegetation, disturbance, hydrology, and permafrost, and their interactions and feedbacks.This pilot phase has developed a conceptual framework for linking current state-of-thesciencemodels of ecosystem processes in Alaska – ALFRESCO, TEM, GIPL-1 – and theprimary processes of vegetation, disturbance, hydrology, and permafrost that theysimulate. A framework that dynamically links these models has been defined and primaryinput datasets required by the models have been developed.


map background search result map search result map IEM-CSC Factsheet with Supplement, 2015 Active Layer Thickness 2040 2049 Alaska Integrated Ecosystem Model Pilot Year Final Report Potential Evapotranspiration 2040-2049: ECHAM5 - A1B Scenario Historical Stand Age 1870-1879 Historical Stand Age 1900-1909 Historical Stand Age 1910-1919 USGS Land Cover - Woodland for District of Columbia 20180810 State or Territory Shapefile USGS Land Cover - Woodland for Indiana 20180810 State or Territory FileGDB 10.1 USGS Land Cover - Woodland for Illinois 20180809 State or Territory Shapefile USGS Land Cover - Woodland for Kansas 20180810 State or Territory FileGDB 10.1 USGS Land Cover - Woodland for Maryland 20180810 State or Territory FileGDB 10.1 USGS Land Cover - Woodland for Minnesota 20180810 State or Territory FileGDB 10.1 USGS Land Cover - Woodland for Montana 20180810 State or Territory Shapefile USGS Land Cover - Woodland for New York 20180810 State or Territory FileGDB 10.1 USGS Land Cover - Woodland for North Dakota 20180810 State or Territory Shapefile USGS Land Cover - Woodland for Ohio 20180810 State or Territory FileGDB 10.1 USGS Land Cover - Woodland for Oklahoma 20180810 State or Territory FileGDB 10.1 USGS Land Cover - Woodland for Washington 20180810 State or Territory FileGDB 10.1 USGS Land Cover - Woodland for District of Columbia 20180810 State or Territory Shapefile USGS Land Cover - Woodland for Maryland 20180810 State or Territory FileGDB 10.1 USGS Land Cover - Woodland for Indiana 20180810 State or Territory FileGDB 10.1 USGS Land Cover - Woodland for Ohio 20180810 State or Territory FileGDB 10.1 USGS Land Cover - Woodland for Kansas 20180810 State or Territory FileGDB 10.1 USGS Land Cover - Woodland for North Dakota 20180810 State or Territory Shapefile USGS Land Cover - Woodland for Illinois 20180809 State or Territory Shapefile USGS Land Cover - Woodland for Washington 20180810 State or Territory FileGDB 10.1 USGS Land Cover - Woodland for Oklahoma 20180810 State or Territory FileGDB 10.1 USGS Land Cover - Woodland for New York 20180810 State or Territory FileGDB 10.1 USGS Land Cover - Woodland for Minnesota 20180810 State or Territory FileGDB 10.1 USGS Land Cover - Woodland for Montana 20180810 State or Territory Shapefile IEM-CSC Factsheet with Supplement, 2015 Active Layer Thickness 2040 2049 Alaska Integrated Ecosystem Model Pilot Year Final Report Potential Evapotranspiration 2040-2049: ECHAM5 - A1B Scenario Historical Stand Age 1870-1879 Historical Stand Age 1900-1909 Historical Stand Age 1910-1919