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...
Published in: | Nature Communications |
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Main Authors: | , , , , |
Format: | Article in Journal/Newspaper |
Language: | unknown |
Published: |
2018
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Subjects: | |
Online Access: | https://epic.awi.de/id/eprint/48874/ https://epic.awi.de/id/eprint/48874/1/s41467-018-07663-3.pdf https://www.nature.com/articles/s41467-018-07663-3 https://hdl.handle.net/10013/epic.afef91d6-8a50-47e6-872e-2b93a48485dd https://hdl.handle.net/ |
Summary: | 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. |
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