Skip to main content
Advanced Search

Filters: Tags: Completed (X) > Categories: Collection (X) > partyWithName: Western Alaska Landscape Conservation Cooperative (X)

10 results (10ms)   

View Results as: JSON ATOM CSV
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.
This project established a permafrost monitoring network in this region, providing a baseline of permafrost thermal regimes for assessing future change at a total of 26 automated monitoring stations. Stations have collected year-round temperature data from the active layer and the permafrost starting from the summer of 2011. The strong correspondence between spatial variability in permafrost thermal regime and an existing ecotype map allowed for the development of a map of ‘permafrost thermal classes’ for the broader study region. Further, the annual temperature data was used to calibrate models of soil thermal regimes as a function of climate, providing estimates of both historic and future permafrost thermal regimes...
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...
The western coastline of Alaska is highly susceptible to coastal storms, which can cause coastal erosion, flooding, and have other pernicious effects to the environment and commercial efforts. The reduction in ice coverage due to climate change could potentially increase the frequency and degree of coastal flooding and erosion. Further, estuaries and delta systems act as conduits for storm surges, so when there is less nearshore ice coverage, these systems could introduce storm surge into terrestrial environments unaccustomed to saline intrusion, flooding, or other alien biogeochemical factors.This project quantified the effect of reduced nearshore ice coverage on coastal flooding. The project developed a large...
Categories: Collection, Data; Tags: Academics & scientific researchers, COASTAL AREAS, COASTAL AREAS, COASTAL PROCESSES, COASTAL PROCESSES, All tags...
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...
thumbnail
These raster datasets are output from the Geophysical Institute Permafrost Lab (GIPL) model and represent simulated active layer thickness (ALT) in meters averaged across a decade. 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 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...
In Alaska, changes in snow, ice, and weather, have resulted in risks to human lives, infrastructure damage, threats to valuable natural resources, and disruption of hunting, fishing, and livelihoods.Leaders from the Aleutians to the Chukchi Sea came together for a series of Coastal Resilience and Adaptation Workshops, spearheaded by three Landscape Conservation Cooperatives and the Aleutian Pribilof Islands Association. Tribal leaders, resource managers, community planners, and scientists explored strategies to adapt to these unprecedented changes.The workshop series brought together 14 Organizing Partners 34 Tribes, 15 State & Federal Agencies, and a total of more than 200 participants to meet in four regional...


    map background search result map search result map Simulated Active Layer Thickness Simulated Mean Annual Ground Temperature Potential Evapotranspiration: CCCMA - A1B Scenario Potential Evapotranspiration: ECHAM5 - A1B Scenario Integrated Ecosystem Model Reports Potential Evapotranspiration: CRU Historical Dataset Stand Age Projections Simulated Active Layer Thickness Simulated Mean Annual Ground Temperature Potential Evapotranspiration: CCCMA - A1B Scenario Potential Evapotranspiration: ECHAM5 - A1B Scenario Integrated Ecosystem Model Reports Potential Evapotranspiration: CRU Historical Dataset Stand Age Projections