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Filters: Tags: {"scheme":"https://www.sciencebase.gov/vocab/vocabulary/54760ef9e4b0f62cb5dc41a0"} (X) > Extensions: Project (X) > partyWithName: Western Alaska Landscape Conservation Cooperative (X) > partyWithName: Arctic Landscape Conservation Cooperative (X)

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The Integrated Ecosystem Model (IEM) for Alaska and Northwest Canada Project integrated existing models of vegetation, disturbance, and permafrost into one complete ecosystem model for the state of Alaska and Northwest Canada.The final synchronized model will integrate existing climate, vegetation, disturbance, hydrology, and permafrost models to improve understanding of potential landscape, habitat and ecosystem change. The project’s (September 1, 2011 through August 31, 2016) primary goal was to develop the IEM modeling framework to integrate the driving components for and the interactions among disturbance regimes, permafrost dynamics, hydrology, and vegetation succession/migration for Alaska and Northwest Canada....
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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.
This project uses previously collected ShoreZone imagery to map nearly 1,600 km of coastline between Wales and Kotzebue. With additional mapping supported by the Arctic LCC and National Park Service, this effort will complete the Kotzebue Sound shoreline, which will be included in the state-wide ShoreZone dataset. The complete ShoreZone dataset will be used to conduct a coastal hazards analysis and create maps that identify areas undergoing rapid coastal erosion and areas that are sensitive to inundation by storm surge and sea level rise.​
This project is focused on establishing a statewide framework to improve the hydrography mapping and stewardship in Alaska. This will be acheived through the creation of a statewide system to make digital mapping data updates accessible and affordable, and through the creation of a statewide hydrography mapping coordinator position to synchronize updates and guide hydrography mapping development. This framework will allow agencies and organizations to greatly improve their hydrography mapping data, as well as consume and uplift project level hydrography data that would not otherwise be incorporated.
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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...
Lack of complete snow cover for the past 3 winters in southwestern Alaska has forced agencies to postpone moose surveys due to the likelihood of underestimating the population/lack of comparability to previous surveys. Poor snow conditions lower the sightability of moose, yet, for most regions of Alaska, the variation in moose sightability during suboptimal conditions has not yet been quantified. Because scientists are predicting less snowfall in this region over the long term, we initiated research to estimate sightability correction factors (SCF_c) using radiocollared animals to apply to abundance estimates obtained via the GeoSpatial Population Estimator (GSPE) method. The Project Goal is to develop a model that...
Categories: Data, Project; Tags: 2016, Academics & scientific researchers, Academics & scientific researchers, CALIBRATION/VALIDATION, CALIBRATION/VALIDATION, All tags...
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The Arctic LCC and National Park Service has partnered together to complete a ShoreZone imagining and mapping project for the entire coastline, lagoons inclusive, from Point Hope to Wales in Northwestern Alaska. The ShoreZone Mapping System uses oblique aerial imagery and field data from ShoreStations to classify coastline habitats based on geological and biological attributes. ShoreZone products are made available to the public through the National Oceanic and Atmospheric Administration (NOAA) National Marine Fisheries Website.
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, Project; Tags: Academics & scientific researchers, CLIMATE ADVISORIES, CLIMATE ADVISORIES, CLIMATE INDICATORS, CLIMATE INDICATORS, All tags...
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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...
    map background search result map search result map Integrated Ecosystem Model (AIEM) for Alaska and Northwest Canada Bringing Alaska's Freshwater Hydrography into the 21st Century Development and Application of an Integrated Ecosystem Model for Alaska ShoreZone Program on the North Slope of Alaska WEAR ShoreZone and ShoreStation Surveys NPS Integrated Ecosystem Model (AIEM) for Alaska and Northwest Canada (COPY) ShoreZone Program on the North Slope of Alaska WEAR ShoreZone and ShoreStation Surveys NPS Integrated Ecosystem Model (AIEM) for Alaska and Northwest Canada Integrated Ecosystem Model (AIEM) for Alaska and Northwest Canada (COPY)