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1000 Titel
  • InSAR-measured permafrost degradation of palsa peatlands in northern Sweden
1000 Autor/in
  1. Valman, Samuel |
  2. Siewert, Matthias B. |
  3. Boyd, Doreen |
  4. Ledger, Martha |
  5. Gee, David |
  6. de la Barreda-Bautista, Betsabé |
  7. Sowter, Andrew |
  8. Sjögersten, Sofie |
1000 Verlag
  • Copernicus Publications
1000 Erscheinungsjahr 2024
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2024-04-17
1000 Erschienen in
1000 Quellenangabe
  • 18(4):1773-1790
1000 Copyrightjahr
  • 2024
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.5194/tc-18-1773-2024 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • <jats:p>Abstract. Climate warming is degrading palsa peatlands across the circumpolar permafrost region. Permafrost degradation may lead to ecosystem collapse and potentially strong climate feedbacks, as this ecosystem is an important carbon store and can transition to being a strong greenhouse gas emitter. Landscape-level measurement of permafrost degradation is needed to monitor this impact of warming. Surface subsidence is a useful metric of change in palsa degradation and can be monitored using interferometric synthetic-aperture radar (InSAR) satellite technology. We combined InSAR data, processed using the ASPIS algorithm to monitor ground motion between 2017 and 2021, with airborne optical and lidar data to investigate the rate of subsidence across palsa peatlands in northern Sweden. We show that 55 % of Sweden's eight largest palsa peatlands are currently subsiding, which can be attributed to the underlying permafrost landforms and their degradation. The most rapid degradation has occurred in the largest palsa complexes in the most northern part of the region of study, also corresponding to the areas with the highest percentage of palsa cover within the overall mapped wetland area. Further, higher degradation rates have been found in areas where winter precipitation has increased substantially. The roughness index calculated from a lidar-derived digital elevation model (DEM), used as a proxy for degradation, increases alongside subsidence rates and may be used as a complementary proxy for palsa degradation. We show that combining datasets captured using remote sensing enables regional-scale estimation of ongoing permafrost degradation, an important step towards estimating the future impact of climate change on permafrost-dependent ecosystems. </jats:p>
1000 Liste der Beteiligten
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1000 Label
1000 Förderer
  1. Engineering and Physical Sciences Research Council |
  2. School of Biosciences, University of Nottingham |
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1000 Dateien
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    1000 Förderer Engineering and Physical Sciences Research Council |
    1000 Förderprogramm -
    1000 Fördernummer -
  2. 1000 joinedFunding-child
    1000 Förderer School of Biosciences, University of Nottingham |
    1000 Förderprogramm -
    1000 Fördernummer -
1000 Objektart article
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1000 Erstellt am 2024-05-23T17:44:35.712+0200
1000 Erstellt von 322
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1000 Zuletzt bearbeitet 2024-05-27T12:50:32.184+0200
1000 Objekt bearb. Mon May 27 12:50:32 CEST 2024
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