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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.
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The Arctic LCC has partnered with USGS to complete a feasibility study that will review current and past efforts to monitor thermokarst at broad spatial and temporal scales, compare relevance, cost, and strengths/weaknesses of the various approaches and techniques. Researchers have outlined potential study designs for monitoring thermokarst events that emphasize processes affecting large areas, or with a disproportionately large impact on fish and wildlife habitat quality. Information available in the final report includes: 1) review existing thermokarst monitoring methods via a literature review, 2) provide a brief description and review of thermokarst landforms and processes associated with permafrost degradation...
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The Arctic LCC created the Threatened Eider Geodatabase to serve as a repository for threatened eider distribution information. This database is intended to be a qualitative “first look” at where these two species of eider have been recorded and where surveys have been conducted. This dataset is intended for general planning and mapping purposes, it should NOT be used for deriving density estimates. Users are reminded that these data do not represent all locations within the geographic scope of this database that may be occupied by threatened eiders..
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There is currently have a very poor understanding of how climate change will affect food web structure and mercury accumulation in lakes on the Arctic Coastal Plain of Alaska. In this study, researchers are addressing this knowledge gap by adopting a space-for-time approach. Fish and food web ecology, and mercury accumulation patterns, are being investigated in several lakes that represent a gradient in temperature/ice phenology of up to two ice-free weeks and 10°C. They are also comparing food web structure and rates of mercury biomagnification among the lakes, and relating these to several climate variables. Finally, they are relating past trends in mercury accumulation in lake sediments to indices of lake productivity...
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Widespread changes in lake distribution on the Arctic Coastal Plain (ACP) would affect water availability for humans, fish and other water-dependent species. The Thermokarst Lake Drainage project models the drainage susceptibility of ACP lakes due to changes in permafrost conditions and surface hydrology along laks margins. The model can provide managers with a tool to assess the likelihood that an individual lake might drain. It also aims to predict the regions in which lake drainage may be most pronounced.More than 35,000 lakes larger than 0.01 km2 were extracted from an airborne interferometric synthetic aperture radar (IfSAR) derived digital surface model acquired between 2002 and 2006 for the Western Arctic...
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The identification of heavy metals such as mercury, and highly persistent lipophilic anthropogenic contaminants in the circumpolar food chain of all Arctic countries has raised awareness in wildlife scientists, and human health authorities on the need to better understand the possible climate-mediated influence on atmospheric and ocean transport mechanisms on the exposure of biota, including humans, in the Arctic. Certain contaminants are known to interfere with immune response in both humans and wildlife.Researchers developed a village climate and health impact assessment tool; identified climate change vulnerabilities for the Native Village of Selawik and developed a climate adaptation strategy; developed biomonitoring...
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This project used historical climate records for Alaska and Western Canada to identify patterns in temperature and precipitation reflecting the distribution of biomes seen across this region today. These climate-biome models used downscaled climate data to help identify areas which were most vulnerable to change, and areas of “refugia” where the temperature and precipitation conditions will be most similar to what they are today. The results may help managers, landscape planners, conservationists and others; understand how dramatically the temperature and precipitation patterns are expected to change.
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The primary goal of this project was to predict climate-related changes in the timing and duration of insect prey availability for arctic-breeding shorebirds. Researchers coordinated closely with the Arctic Shorebird Demographics Network, whose collaborators sampled aquatic insect emergence, terrestrial insect activity, and associated environmental data at sites across arctic Alaska and Canada. Using ASDN data, they developed mathematical models that relate the timing and duration of insect emergence and activity to accumulated temperature, weather, and other environmental variables. They used these models to predict future changes in the timing of arctic insect availability based on climate change projections....
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Shorebirds are among the most abundant and visible high-latitude vertebrates. Their ecology makes them particularly sensitive to climate change in the arctic. The current distribution of shorebirds on the Arctic Coastal Plain is poorly known because accurate data exist from just a few locations. The Arctic LCC has supported development of habitat selection models that combine bird survey data with remotely-sensed habitat maps to “fill in the gaps” where observations are sparse. In future phases, the distribution maps generated from these models could be ground-truthed and improved, and subsequently used as the basis from which to forecast future shorebird distribution for projected future climate scenarios.
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The Bureau of Ocean Energy Management (BOEM) initiated the development of an Arctic Coastal Impressions booklet and photographic exhibit. In the exhibit, there were dozens of spectacular photos of the Arctic coastline. The images were collected along 10,000 km (6,000 mi) of shoreline in Alaska during 2012 and 2013. Many of the images were selected for their artistic composition – sculpted shapes, mosaics of colors or juxtaposition of odd features. They also provide insight into how coastal landforms develop and the significance of these features within the broader Arctic ecosystem. Each image has a story to tell and interpretive materials will accompany the collection.
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If current trends continue, Brooks Range glaciers will disappear over the next century, affecting stream flow regimes, riparian areas, and deltas. In turn, changes in stream habitat will impact local fisheries and the subsistence users who depend on them. To better understand glacier-climate interactions, researchers from the University of Alaska’s Institute of Northern Engineering monitored glaciers in the Hulahula watershed from 2010 through 2014. Their work extended the 50-year mass balance (annual difference between accumulation and loss of material) record for McCall Glacier and initiates investigations of Esetuk Glacier. By integrating the study of the McCall Glacier with long-term research on the impacts...
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The Shorebird Demographic Network is an international collaboration designed to evaluate how climate mediated changes in the arctic ecosystem are affecting shorebird distribution, ecology, and demography. The main purpose of the network is to monitor demographic parameters (e.g. nest success, adult survival) of widely distributed shorebirds, so that we may develop conservation strategies that tackle the most pressing problems facing these declining species. The Arctic LCC contribution adds monitoring components that track key environmental attributes (e.g. water and prey availability) that are expected to link climate with changing shorebird populations.This project attempted to evaluate portions of two conceptual...
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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...
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These products summarize baseline and projected temperature and precipitation. The animations and maps are focused on the northern portion of Alaska, while the raster data have a much larger spatial extent covering Alaska and Western Canada (YT, BC, AB, SK, and MB). Baseline results for 1961-1990 are derived from Climate Research Unit (CRU) TS 3.1 or TS 3.1.01 data downscaled to 2km grids; results for the other time periods are based on a composite of projections from five Intergovernmental Panel on Climate Change (IPCC) General Circulation Models under the A1B and A2 emissions scenarios, downscaled to 2km grids. Climate data are provided courtesy of Scenarios Network for Alaska and Arctic Planning (SNAP).
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BioMap Alaska is a citizen science observation and information management tool. BioMap Alaska engages residents of coastal communities to voluntarily report observations and local knowledge of marine life. This project is intended to improve and expand upon science based monitoring activities, and to further cooperation and collaboration among local people, researchers, and resource managers. We provide a field guide of “species of interest” on which we are seeking information and web-based data logging so that that observers can enter their observations and view these on an online map. Anyone who is interested can view the BioMap data.WHY DO WE NEED BIOMAP ALASKA?There are ongoing and significant ocean environment...
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Water availability, distribution, quality and quantity are critical habitat elements for fish and other water-dependent species. Furthermore, the availability of water is also a pre-requisite for a number of human activities. The density of weather and hydrology observation sites on the North Slope is orders of magnitude less than in other parts of the U.S., making it difficult to document hydrologic trends and develop accurate predictive models where water is a key input. The information that does exist is scattered among many entities, and varies in format. This multi-year data rescue effort project brought together scarce and scattered hydrology data sets, including high-priority datasets held by the Bureau of...
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Federal land managers, non-governmental organizations, and industry have been developing ecological land classifications at regional and landscape-level for Alaska to aid in ecosystem management. An ecoregion map that covers the entire state was produced by Nowacki et al. (2002). At the landscape level, ecological subsection mapping has been done for all National Park Service (NPS) and Forest Service lands in Alaska. In northern Alaska, a portion of the North Slope has been mapped at the ecological subsection level by industry (Jorgenson et al. 2003). In the Brooks Range, similar mapping has been done for National Parks and Preserves at Cape Krusenstern (Swanson 2001), Noatak (Jorgenson et al. 2002), and Gates of...
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Maps created by Arctic LCC staff that depict the general boundaries of the Arctic LCC. Maps and boundaries are subject to review and should not be used within a legal context. No warranty expressed or implied is made regarding the accuracy or utility of the data and information on any other system or for general or scientific purposes.
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The USGS St. Petersburg Coastal and Marine Science Center (USGS St. Pete) processed lidar topographic data in Alaska. Raw lidar data are not in a format that is generally usable by resource managers and scientists for scientific analysis. Converting dense lidar elevation data into a readily usable format without loss of essential information requires specialized processing. Project included processing of lidar data acquired in Summer 2010 along the North Slope of Alaska between Colville River and Hulahula River.
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Over the last 3 years, high-resolution LiDAR elevation data has been acquired for much of the northern coast of Alaska in support of the USGS Coastal and Marine Geology Program’s National Assessment of Shoreline Change project. Because of funding limitations, LiDAR data were not collected over most river deltas and embayments. Subsequent discussions with scientists and managers from both public agencies and private organizations indicated a need and desire to fill the gaps in the coastal elevation data set, specifically over the low-lying deltas and estuaries that provide important habitat for migratory birds and other wildlife. The Arctic LCC provided support to help cover costs associated with acquiring and processing...
map background search result map search result map Understanding Arctic Ecosystems: Ecological Mapping and Mapping Field Plot Database for the North Slope Arctic Coastal Impressions Climate Projection Maps and Rasters RAMP: Develop the Rural Alaska Monitoring Program Threatened Eider Geodatabase for Northern Alaska Long-term Monitoring of the Impacts of Climate Change on the Glaciers and Rivers in the Arctic National Wildlife Refuge Hydroclimatological Data Rescue, Data Inventory, Network Analysis, and Data Distribution Thermokarst lake drainage - vulnerability to climate change and prediction of future lake habitat distribution on the North Slope ASDN: a Network of Sites to Evaluate How Climate-mediated Change in the Arctic Ecosystem are Affecting Shorebird Distribution, Ecology, and Demography Biological Responses to Increasing Water Temperatures in Lakes of the Barrow/Atqasuk Focus Watershed: An Interdisciplinary Bioenergetics and Contamina Arctic LCC Boundaries Thermokarst Monitoring at the Landscape Level: a Feasibility Study WEAR ShoreZone and ShoreStation Surveys NPS North Slope Alaska Admiralty Bay LiDAR BioMap Alaska - Citizen Science for Alaska's Oceans Integrated Ecosystem Model (AIEM) for Alaska and Northwest Canada (COPY) Modeling Shorebird Distribution on the North Slope Predicting Future Potential Biomes for Alaska Climate effects on Arctic Food Resources: Modeling the Timing and Duration of Aquatic Insect Emergence from Tundra Ponds Alaska LiDAR Data Processing - Colville to Staines River Long-term Monitoring of the Impacts of Climate Change on the Glaciers and Rivers in the Arctic National Wildlife Refuge North Slope Alaska Admiralty Bay LiDAR Alaska LiDAR Data Processing - Colville to Staines River Thermokarst lake drainage - vulnerability to climate change and prediction of future lake habitat distribution on the North Slope WEAR ShoreZone and ShoreStation Surveys NPS Arctic LCC Boundaries Understanding Arctic Ecosystems: Ecological Mapping and Mapping Field Plot Database for the North Slope Threatened Eider Geodatabase for Northern Alaska Thermokarst Monitoring at the Landscape Level: a Feasibility Study Modeling Shorebird Distribution on the North Slope Arctic Coastal Impressions BioMap Alaska - Citizen Science for Alaska's Oceans Hydroclimatological Data Rescue, Data Inventory, Network Analysis, and Data Distribution RAMP: Develop the Rural Alaska Monitoring Program Predicting Future Potential Biomes for Alaska Integrated Ecosystem Model (AIEM) for Alaska and Northwest Canada (COPY) ASDN: a Network of Sites to Evaluate How Climate-mediated Change in the Arctic Ecosystem are Affecting Shorebird Distribution, Ecology, and Demography Climate effects on Arctic Food Resources: Modeling the Timing and Duration of Aquatic Insect Emergence from Tundra Ponds Climate Projection Maps and Rasters