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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ftpubmed:oai:pubmedcentral.nih.gov:6303350 2023-05-15T14:55:13+02:00 Remote sensing quantifies widespread abundance of permafrost region disturbances across the Arctic and Subarctic Nitze, I. Grosse, G. Jones, B. M. Romanovsky, V. E. Boike, J. 2018-12-21 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6303350/ http://www.ncbi.nlm.nih.gov/pubmed/30575717 https://doi.org/10.1038/s41467-018-07663-3 en eng Nature Publishing Group UK http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6303350/ http://www.ncbi.nlm.nih.gov/pubmed/30575717 http://dx.doi.org/10.1038/s41467-018-07663-3 © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. CC-BY Article Text 2018 ftpubmed https://doi.org/10.1038/s41467-018-07663-3 2018-12-30T01:17:58Z 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. Text Arctic Climate change permafrost Subarctic Tundra Alaska PubMed Central (PMC) Arctic Nature Communications 9 1 |
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Article Nitze, I. Grosse, G. Jones, B. M. Romanovsky, V. E. Boike, J. Remote sensing quantifies widespread abundance of permafrost region disturbances across the Arctic and Subarctic |
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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 |
Text |
author |
Nitze, I. Grosse, G. Jones, B. M. Romanovsky, V. E. Boike, J. |
author_facet |
Nitze, I. Grosse, G. Jones, B. M. Romanovsky, V. E. Boike, J. |
author_sort |
Nitze, I. |
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 |
publisher |
Nature Publishing Group UK |
publishDate |
2018 |
url |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6303350/ http://www.ncbi.nlm.nih.gov/pubmed/30575717 https://doi.org/10.1038/s41467-018-07663-3 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Climate change permafrost Subarctic Tundra Alaska |
genre_facet |
Arctic Climate change permafrost Subarctic Tundra Alaska |
op_relation |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6303350/ http://www.ncbi.nlm.nih.gov/pubmed/30575717 http://dx.doi.org/10.1038/s41467-018-07663-3 |
op_rights |
© The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.1038/s41467-018-07663-3 |
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Nature Communications |
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9 |
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1 |
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