Skip to main content
Advanced Search

Filters: Tags: PERMAFROST (X) > Types: OGC WFS Layer (X) > Types: OGC WMS Service (X) > partyWithName: Alaska Climate Science Center (X)

40 results (14ms)   

Filters
Date Range
Extensions
Types
Contacts
Categories
Tag Types
Tag Schemes
View Results as: JSON ATOM CSV
thumbnail
Information on the nature and distribution of permafrost is critical to assessing the response of Arctic ecosystems to climate change, because thawing permafrost under a warming climate will cause thaw settlement and affect micro-topography, surface water redistribution and groundwater movement, soil carbon balance, trace gas emissions, vegetation changes, and habitat use. While a small-scale regional permafrost map is available, as well as information from numerous site-specific large-scale mapping projects, landscape-level mapping of permafrost characteristics is needed for regional modeling and climate impact assessments. The project addresses this need by: (1) compiling existing soil/permafrost data from available...
thumbnail
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.
thumbnail
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.
thumbnail
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.
thumbnail
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.
thumbnail
Information on the nature and distribution of permafrost is critical to assessing the response of Arctic ecosystems to climate change, because thawing permafrost under a warming climate will cause thaw settlement and affect micro-topography, surface water redistribution and groundwater movement, soil carbon balance, trace gas emissions, vegetation changes, and habitat use. While a small-scale regional permafrost map is available, as well as information from numerous site-specific large-scale mapping projects, landscape-level mapping of permafrost characteristics is needed for regional modeling and climate impact assessments. The project addresses this need by: (1) compiling existing soil/permafrost data from available...
thumbnail
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.
thumbnail
We mosaicked twelve LandSat-8 OLI satellite images taken during the summer of 2014, which were used in an object based image analysis (OBIA) to classify the landscape. We mapped seventeen of the most dominant geomorphic land cover classes on the ACP: (1) Coastal saline waters, (2) Large lakes, (3) Medium lakes, (4) Small lakes, (5) Ponds, (6) Rivers, (7) Meadows, (8) Coalescent low-center polygons, (9) Low-center polygons, (10) Flat-center polygons, (11) High-center polygons, (12) Drained slope, (13) Sandy barrens, (14) Sand dunes, (15) Riparian shrub, (16) Ice, and (17) Urban (i.e. towns and roads). Mapped products were validated with an array of oblique aerial/ground based photography (Jorgenson et al., 2011)...
thumbnail
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.
thumbnail
Information on the nature and distribution of permafrost is critical to assessing the response of Arctic ecosystems to climate change, because thawing permafrost under a warming climate will cause thaw settlement and affect micro-topography, surface water redistribution and groundwater movement, soil carbon balance, trace gas emissions, vegetation changes, and habitat use. While a small-scale regional permafrost map is available, as well as information from numerous site-specific large-scale mapping projects, landscape-level mapping of permafrost characteristics is needed for regional modeling and climate impact assessments. The project addresses this need by: (1) compiling existing soil/permafrost data from available...
thumbnail
Information on the nature and distribution of permafrost is critical to assessing the response of Arctic ecosystems to climate change, because thawing permafrost under a warming climate will cause thaw settlement and affect micro-topography, surface water redistribution and groundwater movement, soil carbon balance, trace gas emissions, vegetation changes, and habitat use. While a small-scale regional permafrost map is available, as well as information from numerous site-specific large-scale mapping projects, landscape-level mapping of permafrost characteristics is needed for regional modeling and climate impact assessments. The project addresses this need by: (1) compiling existing soil/permafrost data from available...
Permafrost is a unique characteristic of polar regions and high mountains and is fundamentalto geomorphic processes and ecological development in permafrost-affected environments.Because permafrost impedes drainage and ice-rich permafrost settles upon thawing, degradationof permafrost in response to climate change will have large consequences for tundra and borealecosystems (Osterkamp 2005, Jorgenson and Osterkamp 2005, Shur and Osterkamp 2007,Jorgenson et al. 2010, 2013). Thawing permafrost affects surface hydrology by impoundingwater in subsiding areas and enhances drainage of upland areas. Changes in soil drainage altersoil carbon dynamics, habitats for vegetation and wildlife, and emissions of greenhouse gases(Ping...
thumbnail
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.
thumbnail
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.
thumbnail
These raster datasets are 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. These data were generated by driving the GIPL model with a composite of five GCM model outputs for the A1B emissions scenario. 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...
thumbnail
This Microsoft Access Database contains soil and permafrost stratigraphy for northern Alaska compiled from numerous project data files and reports. The database has main data tables (tbl_) for site (environmental), soil stratigraphy, soil physical data, soil chemical data, soil radiocarbon dates, and vegetation cover. The Site data includes information of location, observers, geomorphology, topography, hydrology, soil summary characteristics, pH and EC, soil classification, and vegetation cover by species. Soil stratigraphy has information on soil texture and ground ice. Soil physical and chemical data includes lab data on bulk density, moisture, carbon, and nitrogen. The database has 38 reference tables (REF_)...
thumbnail
The Integrated Ecosystem Model for Alaska project (IEM) uses down-scaled climate models as the drivers of ecosystem change to produce forecasts of future fire, vegetation, permafrost and hydrology regimes at a resolution of 1km. This effort is the first to model ecosystem change on a statewide scale, using climate change input as a major driving variable. The objectives of the IEM project are as follows; to better understand and predict effects of climate change and other stressors on landscape level physical and ecosystem processes, and to provide support for resource conservation planning.The IEM will provide resource managers with a decision support tool to visualize future landscapes in Alaska. Model outputs...
Categories: Data, Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Academics & scientific researchers, DYNAMIC VEGETATION/ECOSYSTEM MODELS, DYNAMIC VEGETATION/ECOSYSTEM MODELS, Datasets/Database, Federal resource managers, All tags...
thumbnail
Permafrost is a unique characteristic of polar regions and high mountains and is fundamentalto geomorphic processes and ecological development in permafrost-affected environments.Because permafrost impedes drainage and ice-rich permafrost settles upon thawing, degradationof permafrost in response to climate change will have large consequences for tundra and borealecosystems (Osterkamp 2005, Jorgenson and Osterkamp 2005, Shur and Osterkamp 2007,Jorgenson et al. 2010, 2013). Thawing permafrost affects surface hydrology by impoundingwater in subsiding areas and enhances drainage of upland areas. Changes in soil drainage altersoil carbon dynamics, habitats for vegetation and wildlife, and emissions of greenhouse gases(Ping...
thumbnail
These raster datasets 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...


map background search result map search result map Integrated Ecosystem Model (AIEM) for Alaska and Northwest Canada Permafrost Database Development, Characterization, and Mapping for Northern Alaska Permafrost Characterization and Mapping for Northern Alaska Final Report Alaskan Arctic Coastal Plain Polygonal Geomorphology Map Permafrost Soils Database for Northern Alaska Simulated Mean Annual Ground Temperature Potential Evapotranspiration: CCCMA - A1B Scenario Integrated Ecosystem Model Reports IEM-CSC Factsheet with Supplement, 2015 Stand Age Projections Historical Stand Age 1980-1989 Historical Stand Age 1870-1879 Historical Stand Age 1940-1949 Historical Stand Age 1900-1909 Historical Stand Age 1960-1969 Historical Stand Age 1910-1919 Permafrost Database Development, Characterization, and Mapping for Northern Alaska Permafrost Database Development, Characterization, and Mapping for Northern Alaska Permafrost Database Development, Characterization, and Mapping for Northern Alaska Permafrost Characterization and Mapping for Northern Alaska Final Report Alaskan Arctic Coastal Plain Polygonal Geomorphology Map Permafrost Database Development, Characterization, and Mapping for Northern Alaska Permafrost Characterization and Mapping for Northern Alaska Final Report Permafrost Soils Database for Northern Alaska Permafrost Database Development, Characterization, and Mapping for Northern Alaska Permafrost Database Development, Characterization, and Mapping for Northern Alaska Permafrost Database Development, Characterization, and Mapping for Northern Alaska Permafrost Characterization and Mapping for Northern Alaska Final Report Integrated Ecosystem Model (AIEM) for Alaska and Northwest Canada Simulated Mean Annual Ground Temperature Potential Evapotranspiration: CCCMA - A1B Scenario Integrated Ecosystem Model Reports IEM-CSC Factsheet with Supplement, 2015 Stand Age Projections Historical Stand Age 1980-1989 Historical Stand Age 1870-1879 Historical Stand Age 1940-1949 Historical Stand Age 1900-1909 Historical Stand Age 1960-1969 Historical Stand Age 1910-1919