Remote sensing quantifies widespread abundance of permafrost region disturbances across the Arctic and Subarctic
Local observations indicate that climate change and shifting disturbance regimes are causing permafrost degradation. However, the occurrence and distribution of permafrost region disturbances (PRDs) remain poorly resolved across the Arctic and Subarctic. Here we quantify the abundance and distributi...
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ftubpotsdam:oai:kobv.de-opus4-uni-potsdam:42617 2023-05-15T14:55:01+02:00 Remote sensing quantifies widespread abundance of permafrost region disturbances across the Arctic and Subarctic Nitze, Ingmar (Dr.) Grosse, Guido (Prof. Dr.) Jones, Benjamin M. Romanovsky, Vladimir E. Boike, Julia (Dr.) 2019-12-17 application/pdf https://publishup.uni-potsdam.de/frontdoor/index/index/docId/42617 https://nbn-resolving.org/urn:nbn:de:kobv:517-opus4-426171 https://doi.org/10.25932/publishup-42617 https://publishup.uni-potsdam.de/files/42617/pmnr799.pdf eng eng https://publishup.uni-potsdam.de/frontdoor/index/index/docId/42617 urn:nbn:de:kobv:517-opus4-426171 https://nbn-resolving.org/urn:nbn:de:kobv:517-opus4-426171 https://doi.org/10.25932/publishup-42617 https://publishup.uni-potsdam.de/files/42617/pmnr799.pdf https://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess CC-BY ddc:500 Mathematisch-Naturwissenschaftliche Fakultät postprint doc-type:article 2019 ftubpotsdam https://doi.org/10.25932/publishup-42617 2022-11-20T23:32:16Z Local observations indicate that climate change and shifting disturbance regimes are causing permafrost degradation. However, the occurrence and distribution of permafrost region disturbances (PRDs) remain poorly resolved across the Arctic and Subarctic. Here we quantify the abundance and distribution of three primary PRDs using time-series analysis of 30-m resolution Landsat imagery from 1999 to 2014. Our dataset spans four continental-scale transects in North America and Eurasia, covering ~10% of the permafrost region. Lake area loss (−1.45%) dominated the study domain with enhanced losses occurring at the boundary between discontinuous and continuous permafrost regions. Fires were the most extensive PRD across boreal regions (6.59%), but in tundra regions (0.63%) limited to Alaska. Retrogressive thaw slumps were abundant but highly localized (<10−5%). Our analysis synergizes the global-scale importance of PRDs. The findings highlight the need to include PRDs in next-generation land surface models to project the permafrost carbon feedback. Article in Journal/Newspaper Arctic Climate change permafrost Subarctic Tundra Alaska University of Potsdam: publish.UP Arctic |
institution |
Open Polar |
collection |
University of Potsdam: publish.UP |
op_collection_id |
ftubpotsdam |
language |
English |
topic |
ddc:500 Mathematisch-Naturwissenschaftliche Fakultät |
spellingShingle |
ddc:500 Mathematisch-Naturwissenschaftliche Fakultät Nitze, Ingmar (Dr.) Grosse, Guido (Prof. Dr.) Jones, Benjamin M. Romanovsky, Vladimir E. Boike, Julia (Dr.) Remote sensing quantifies widespread abundance of permafrost region disturbances across the Arctic and Subarctic |
topic_facet |
ddc:500 Mathematisch-Naturwissenschaftliche Fakultät |
description |
Local observations indicate that climate change and shifting disturbance regimes are causing permafrost degradation. However, the occurrence and distribution of permafrost region disturbances (PRDs) remain poorly resolved across the Arctic and Subarctic. Here we quantify the abundance and distribution of three primary PRDs using time-series analysis of 30-m resolution Landsat imagery from 1999 to 2014. Our dataset spans four continental-scale transects in North America and Eurasia, covering ~10% of the permafrost region. Lake area loss (−1.45%) dominated the study domain with enhanced losses occurring at the boundary between discontinuous and continuous permafrost regions. Fires were the most extensive PRD across boreal regions (6.59%), but in tundra regions (0.63%) limited to Alaska. Retrogressive thaw slumps were abundant but highly localized (<10−5%). Our analysis synergizes the global-scale importance of PRDs. The findings highlight the need to include PRDs in next-generation land surface models to project the permafrost carbon feedback. |
format |
Article in Journal/Newspaper |
author |
Nitze, Ingmar (Dr.) Grosse, Guido (Prof. Dr.) Jones, Benjamin M. Romanovsky, Vladimir E. Boike, Julia (Dr.) |
author_facet |
Nitze, Ingmar (Dr.) Grosse, Guido (Prof. Dr.) Jones, Benjamin M. Romanovsky, Vladimir E. Boike, Julia (Dr.) |
author_sort |
Nitze, Ingmar (Dr.) |
title |
Remote sensing quantifies widespread abundance of permafrost region disturbances across the Arctic and Subarctic |
title_short |
Remote sensing quantifies widespread abundance of permafrost region disturbances across the Arctic and Subarctic |
title_full |
Remote sensing quantifies widespread abundance of permafrost region disturbances across the Arctic and Subarctic |
title_fullStr |
Remote sensing quantifies widespread abundance of permafrost region disturbances across the Arctic and Subarctic |
title_full_unstemmed |
Remote sensing quantifies widespread abundance of permafrost region disturbances across the Arctic and Subarctic |
title_sort |
remote sensing quantifies widespread abundance of permafrost region disturbances across the arctic and subarctic |
publishDate |
2019 |
url |
https://publishup.uni-potsdam.de/frontdoor/index/index/docId/42617 https://nbn-resolving.org/urn:nbn:de:kobv:517-opus4-426171 https://doi.org/10.25932/publishup-42617 https://publishup.uni-potsdam.de/files/42617/pmnr799.pdf |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Climate change permafrost Subarctic Tundra Alaska |
genre_facet |
Arctic Climate change permafrost Subarctic Tundra Alaska |
op_relation |
https://publishup.uni-potsdam.de/frontdoor/index/index/docId/42617 urn:nbn:de:kobv:517-opus4-426171 https://nbn-resolving.org/urn:nbn:de:kobv:517-opus4-426171 https://doi.org/10.25932/publishup-42617 https://publishup.uni-potsdam.de/files/42617/pmnr799.pdf |
op_rights |
https://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.25932/publishup-42617 |
_version_ |
1766326805329870848 |