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This project evaluates the connections between climate change impacts and health in Bristol Bay communities. Climate change impacts were assessed through the lens of public health, with an eye towards the potential effects on disease, injury, food and water security, and mental health. Three focal communities were included in this assessment: Nondalton, a lake community, Levelock, a river community, and Pilot Point, a coastal community. The resulting assessment reports will be used to assist focal communities, as well as neighboring communities, in addressing climate-change related issues.
Categories: Data, Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: CLIMATE CHANGE IMPACT ASSESSMENT MODELS, CLIMATE CHANGE IMPACT ASSESSMENT MODELS, COASTAL AREAS, COASTAL AREAS, Decision Support, All tags...
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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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.
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...
Categories: Data; Tags: Academics & scientific researchers, Aleutian Bering Sea Islands LCC data.gov, CLIMATE ADVISORIES, CLIMATE ADVISORIES, CLIMATE INDICATORS, All tags...
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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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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)...
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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.
Research on coastal change in Western Alaska has increased rapidly in recent years, making it challenging to track existing projects, understand their cumulative insights, gauge remaining research gaps, and prioritize future research. This project identified existing coastal change projects in Western Alaska that were happening in 2014, scheduled for 2015 or occured in 2012-2014. The report (below) provides a synthesis of information about each project category, and an associated online database (see ACCAP project page link below) describes individual projects and information on how to contact the project leader. These products document the project landscape for communities facing change, decision-makers navigating...
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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 Bureau of Ocean Energy Management (BOEM) is supporting a field effort in support of a ShoreZone mapping project along the Chukchi and Beaufort coasts. Funds from the LCC will allow for the inclusion of three additional ShoreStations. Researchers will conduct ground surveys to get detailed physical and biological measurements throughout the various and often unique Chukchi and Beaufort coastal habitats. Sediment samples will be archived from each shore station for hydrocarbon analyses in the event of a local or regional oil spill. The Arctic ShoreZone Shore Stations will be added to the statewide database and made available online to the public NOAA website.
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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 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...
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The environment is rapidly changing and global warming brings impacts to all forms of life. This report is about the effects of a changing climate on the human environment and changes to communities and peoples’ lives. The best measures of change are the observations of people who live and work here, travel the trails, watch the weather, and harvest food from the land and sea. By listening, we learn the nature of the changes that are occurring, and gain insight into the causes and specific implications to people and the adaptations that are being developed and used every day. People of the Alaska are excellent observers of environmental change because of their local knowledge and expertise about the weather, wildlife,...
Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: CLIMATE CHANGE IMPACT ASSESSMENT MODELS, CLIMATE CHANGE IMPACT ASSESSMENT MODELS, EROSION, EROSION, Interested public, All tags...
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The environment is rapidly changing and global warming brings impacts to all forms of life. This report is about the effects of a changing climate on the human environment and changes to communities and peoples’ lives. The best measures of change are the observations of people who live and work here, travel the trails, watch the weather, and harvest food from the land and sea. By listening, we learn the nature of the changes that are occurring, and gain insight into the causes and specific implications to people and the adaptations that are being developed and used every day. People of the Bering Strait are excellent observers of environmental change because of their local knowledge and expertise about the weather,...
Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: CLIMATE CHANGE IMPACT ASSESSMENT MODELS, CLIMATE CHANGE IMPACT ASSESSMENT MODELS, EROSION, EROSION, Interested public, All tags...
One of the major challenges in understanding changes in coastal processes in western Alaska is the lack of measured ocean data in the region. ​This project leveraged existing human resources, and physical and computational infrastructure to collect and disseminate oceanographic observations in the Bering Sea. From instrument restoration, transport and deployment, through data streaming, recovery and dissemination, this project considered the end to end supports necessary to gather, promote, and serve oceanographic data along Alaska’s Western coast. Real‐time sea‐state conditions were transmitted via both high and low bandwidth sites, directly benefited emergency managers and local communities, particularly in dealing...
The Adapt Alaska Collaborative grew out of a set of initiatives to promote climate resilience and adaptation in Alaska. On May 24 and 25, 2017 a group of participants (including representatives of Alaska regional, state and federal agencies and organizations) gathered at a work session to identify next steps to build on the momentum generated by these initiatives toward a more resilient Alaska. At the work session, three working groups formed around specific areas of effort, including a Planning Working Group with the task of identifying ways to streamline the many planning requirements associated with implementing climate resilience and adaptation strategies.The Adapt Alaska Planning Working Group looked at a range...
Categories: Data, Publication; Types: Citation; Tags: Academics & scientific researchers, Aleutian Bering Sea Islands LCC data.gov, CLIMATE ADVISORIES, CLIMATE ADVISORIES, CLIMATE INDICATORS, All tags...


map background search result map search result map Alaskan Arctic Coastal Plain Polygonal Geomorphology Map Climate Change Health Assessments for Three Coastal, Riverine and Lake System Communities Final Synthesis Report Climate Change in the Bering Strait Region ShoreZone Program on the North Slope of Alaska Simulated Mean Annual Ground Temperature Integrated Ecosystem Model Reports IEM-CSC Factsheet with Supplement, 2015 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 ShoreZone Program on the North Slope of Alaska Climate Change Health Assessments for Three Coastal, Riverine and Lake System Communities Alaskan Arctic Coastal Plain Polygonal Geomorphology Map Simulated Mean Annual Ground Temperature Integrated Ecosystem Model Reports IEM-CSC Factsheet with Supplement, 2015 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 Final Synthesis Report Climate Change in the Bering Strait Region