Conceptualization and Application of the Alaska Thermokarst Model

Thermokarst topography forms whenever ice-rich permafrost thaws and the ground subsides due to the volume loss when ground ice transitions to water. The Alaska Thermokarst Model (ATM) is a large- scale, state-and-transition model designed to simulate transitions between landscape units affected by t...

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Main Authors: Bolton, W. Robert, Lara, Mark, Genet, Helene, Romanovsky, Vladimir, McGuire, A. David
Format: Still Image
Language:English
Published: 2016
Subjects:
Ice
Online Access:http://hdl.handle.net/11122/11021
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spelling ftunivalaska:oai:scholarworks.alaska.edu:11122/11021 2023-05-15T14:55:53+02:00 Conceptualization and Application of the Alaska Thermokarst Model Bolton, W. Robert Lara, Mark Genet, Helene Romanovsky, Vladimir McGuire, A. David 2016-06 http://hdl.handle.net/11122/11021 en_US eng http://hdl.handle.net/11122/11021 Poster 2016 ftunivalaska 2023-02-23T21:37:36Z Thermokarst topography forms whenever ice-rich permafrost thaws and the ground subsides due to the volume loss when ground ice transitions to water. The Alaska Thermokarst Model (ATM) is a large- scale, state-and-transition model designed to simulate transitions between landscape units affected by thermokarst disturbance. The ATM uses a frame-based methodology to track transitions and proportion of cohorts within a 1-km2 grid cell. In the arctic tundra environment, the ATM tracks thermokarst-related transitions among wetland tundra, graminoid tundra, shrub tundra, and thermokarst lakes. In the boreal forest environment, the ATM tracks transitions among forested permafrost plateau, thermokarst lakes, collapse scar fens and bogs. The spatial distribution of cohorts [landcover] is required to initialize and run the ATM. The initial landcover distribution is based upon analysis of compiled remote sensing data sets (SPOT-5, Inferometric Synthetic Aperture Radar, and LandSat8 OLI) at 30-m resolution. Remote sensing analysis and field measurements from previous and ongoing studies are used to determine the ice-content of the soil, the drainage efficiency (or the ability of the landscape to store or transport water), the cumulative probability of thermokarst initiation, distance from rivers, lake dynamics (increasing, decreasing, or stable), and other factors which help determine landscape transition rates. Tundra types are allowed to transition from one type to another (for example, wetland tundra to graminoid tundra) under favorable climatic conditions. The Next-Generation Ecosystem Experiments (NGEE Arctic) project is supported by the Office of Biological and Environmental Research in the DOE Office of Science. Additional support is provided by the Alaska Climate Science Center, and the Arctic, Northwest Boreal, and Western Alaska Landscape Conservation Conservatives. Still Image Arctic Ice permafrost Thermokarst Tundra Alaska University of Alaska: ScholarWorks@UA Arctic
institution Open Polar
collection University of Alaska: ScholarWorks@UA
op_collection_id ftunivalaska
language English
description Thermokarst topography forms whenever ice-rich permafrost thaws and the ground subsides due to the volume loss when ground ice transitions to water. The Alaska Thermokarst Model (ATM) is a large- scale, state-and-transition model designed to simulate transitions between landscape units affected by thermokarst disturbance. The ATM uses a frame-based methodology to track transitions and proportion of cohorts within a 1-km2 grid cell. In the arctic tundra environment, the ATM tracks thermokarst-related transitions among wetland tundra, graminoid tundra, shrub tundra, and thermokarst lakes. In the boreal forest environment, the ATM tracks transitions among forested permafrost plateau, thermokarst lakes, collapse scar fens and bogs. The spatial distribution of cohorts [landcover] is required to initialize and run the ATM. The initial landcover distribution is based upon analysis of compiled remote sensing data sets (SPOT-5, Inferometric Synthetic Aperture Radar, and LandSat8 OLI) at 30-m resolution. Remote sensing analysis and field measurements from previous and ongoing studies are used to determine the ice-content of the soil, the drainage efficiency (or the ability of the landscape to store or transport water), the cumulative probability of thermokarst initiation, distance from rivers, lake dynamics (increasing, decreasing, or stable), and other factors which help determine landscape transition rates. Tundra types are allowed to transition from one type to another (for example, wetland tundra to graminoid tundra) under favorable climatic conditions. The Next-Generation Ecosystem Experiments (NGEE Arctic) project is supported by the Office of Biological and Environmental Research in the DOE Office of Science. Additional support is provided by the Alaska Climate Science Center, and the Arctic, Northwest Boreal, and Western Alaska Landscape Conservation Conservatives.
format Still Image
author Bolton, W. Robert
Lara, Mark
Genet, Helene
Romanovsky, Vladimir
McGuire, A. David
spellingShingle Bolton, W. Robert
Lara, Mark
Genet, Helene
Romanovsky, Vladimir
McGuire, A. David
Conceptualization and Application of the Alaska Thermokarst Model
author_facet Bolton, W. Robert
Lara, Mark
Genet, Helene
Romanovsky, Vladimir
McGuire, A. David
author_sort Bolton, W. Robert
title Conceptualization and Application of the Alaska Thermokarst Model
title_short Conceptualization and Application of the Alaska Thermokarst Model
title_full Conceptualization and Application of the Alaska Thermokarst Model
title_fullStr Conceptualization and Application of the Alaska Thermokarst Model
title_full_unstemmed Conceptualization and Application of the Alaska Thermokarst Model
title_sort conceptualization and application of the alaska thermokarst model
publishDate 2016
url http://hdl.handle.net/11122/11021
geographic Arctic
geographic_facet Arctic
genre Arctic
Ice
permafrost
Thermokarst
Tundra
Alaska
genre_facet Arctic
Ice
permafrost
Thermokarst
Tundra
Alaska
op_relation http://hdl.handle.net/11122/11021
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