Filters: Tags: Academics & scientific researchers (X) > partyWithName: Western Alaska Landscape Conservation Cooperative (X)
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The western coastline of Alaska spans over 10,000 km of diverse topography ranging from low lying tundra in the north to sharp volcanic relief in the south. Included in this range are areas highly susceptible to powerful storms which can cause coastal flooding, erosion and have many other negative effects on the environment and commercial efforts in the region. In order to better understand the multi-scale and interactive physics of the deep ocean,continental shelf, near shore, and coast, a large unstructured domain hydrodynamic model is being developed using the finite element, free surface circulation code ADCIRC.This model is a high resolution, accurate, and robust computational model of Alaska’s coastal environment...
Categories: Data;
Tags: Academics & scientific researchers,
COASTAL AREAS,
COASTAL AREAS,
COASTAL PROCESSES,
COASTAL PROCESSES,
Understanding the causes of relative sea level rise requires knowledge of changes to both land (uplift and subsidence) and sea level. However, measurements of coastal uplift or subsidence are almost completely lacking in western Alaska. This project provided precise measurements of prioritized benchmarks across the Western Alaska geography, improving the network of published tidal benchmark elevations, allowing for tidal datum conversion in more places, and providing a necessary component for improved inundation studies in coastal communities and low-lying areas. The project’s map of vertical velocities (uplift/subsidence) of western Alaska (see ‘Final Project Report’ & ‘Vertical Velocity Map’, below) will be combined...
Categories: Data;
Tags: Academics & scientific researchers,
COASTAL AREAS,
COASTAL AREAS,
COASTAL ELEVATION,
COASTAL ELEVATION,
Understanding the causes of relative sea level rise requires knowledge of changes to both land (uplift and subsidence) and sea level. However, measurements of coastal uplift or subsidence are almost completely lacking in western Alaska. This project provided precise measurements of prioritized benchmarks across the Western Alaska geography, improving the network of published tidal benchmark elevations, allowing for tidal datum conversion in more places, and providing a necessary component for improved inundation studies in coastal communities and low-lying areas. The project’s map of vertical velocities (uplift/subsidence) of western Alaska (see ‘Final Project Report’ & ‘Vertical Velocity Map’, below) will be combined...
Categories: Data;
Tags: Academics & scientific researchers,
COASTAL AREAS,
COASTAL AREAS,
COASTAL ELEVATION,
COASTAL ELEVATION,
This webinar covers two linked projects to increase the amount of water temperature data for the Bristol Bay and Kodiak Archipelago regions of Alaska.
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....
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...
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...
Categories: Data,
Image;
Tags: Academics & scientific researchers,
Federal resource managers,
Image,
LCC Network Science Catalog,
PERMAFROST,
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.
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.
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.
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...
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.
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)...
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...
Categories: Collection,
Data;
Tags: Academics & scientific researchers,
Collection,
Federal resource managers,
LCC Network Science Catalog,
PERMAFROST,
Western Alaska is one of the fastest warming regions on the globe and recent trends are expected to continue into the next century, likely having substantial effects on the aquatic resources of this region. While increased air temperatures will have direct effects on water temperatures, indirect effects due to changes in precipitation, groundwater characteristics, and flow regimes may have much larger effects on aquatic ecosystems. Coastal watersheds of Western Alaska are expected to receive 25-50% more snow and 18-25% more rain in the next century. Future “climate warming” may actually cool some streams if the ratio of snow to rain increases for coastal watersheds, while rain-dominated streams are likely to become...
Thermal response of western Alaska lakes and lagoons to past, present, and future changes in climate
Water temperature in lakes and lagoons plays a key role in hydrology, water quality, and habitat suitability for aquatic organisms. The purpose of this project is to provide land and resource managers with information related to the past, present, and future temperature trends in lake surface waters in western Alaska. Through a combination of remote sensing, in situ data collection, model development, we will analyze similarities and differences related to spatial and temporal patterns of lake surface temperatures in western Alaska from 1985 to 2100.
Bering Sea storms introduce various environmental conditions that adversely affect human activity and infrastructure in the coastal zone and the ecosystems they depend upon. Storm impacts include interactions with sea ice in all potential states: large floes, shore-fast ice, and incipient sea-ice in frazil or slush state. In particular, sea ice can act to enhance or mitigate the impacts of adverse marine state, even as the event is occurring. Such occurrences should be part of a forecasting regimen, however scientific work has not been conducted on this phenomena, with the result that a physical model describing the formation of slush ice berms does not exist. To arrive at such a model requires visits to and input...
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