Allometric scaling of retrogressive thaw slumps

In the warming Arctic, retrogressive thaw slumping (RTS) has emerged as the primary thermokarst modifier of ice-rich permafrost slopes, raising urgency to investigate the distribution and intensification of disturbances and to determine trajectories of landscape evolution and the cascade of effects....

Full description

Bibliographic Details
Main Authors: Sluijs, Jurjen, Kokelj, Steven V., Tunnicliffe, Jon F.
Format: Text
Language:English
Published: 2022
Subjects:
Ice
Online Access:https://doi.org/10.5194/tc-2022-149
https://tc.copernicus.org/preprints/tc-2022-149/
id ftcopernicus:oai:publications.copernicus.org:tcd105217
record_format openpolar
spelling ftcopernicus:oai:publications.copernicus.org:tcd105217 2023-05-15T15:12:04+02:00 Allometric scaling of retrogressive thaw slumps Sluijs, Jurjen Kokelj, Steven V. Tunnicliffe, Jon F. 2022-09-07 application/pdf https://doi.org/10.5194/tc-2022-149 https://tc.copernicus.org/preprints/tc-2022-149/ eng eng doi:10.5194/tc-2022-149 https://tc.copernicus.org/preprints/tc-2022-149/ eISSN: 1994-0424 Text 2022 ftcopernicus https://doi.org/10.5194/tc-2022-149 2022-09-12T16:22:53Z In the warming Arctic, retrogressive thaw slumping (RTS) has emerged as the primary thermokarst modifier of ice-rich permafrost slopes, raising urgency to investigate the distribution and intensification of disturbances and to determine trajectories of landscape evolution and the cascade of effects. Tracking RTS is challenging due to constraints of remote sensing products and a narrow understanding of thaw-driven landforms, however, high-resolution elevation models provide new insights into geomorphic change. Structural traits, such as RTS depth-of-thaw or volume, can be obtained through allometric scaling. To address fundamental knowledge gaps related to area-volume scaling of RTS, a suitable surface interpolation technique was first needed to model pre-disturbance topography upon which volume estimates could be based. Among 8 methods with 32 parameterizations, Natural Neighbour surface interpolation achieved the best precision in reconstructing pre-disturbed slope topography (90 th percentile Root Mean Square Difference ± 1.0 m). An inverse association between RTS volume and relative volumetric error was observed, with uncertainties <10 % for large slumps and <20 % for small-to-medium slumps. Second, a Multisource Slump Inventory (MSI) for two study areas in the Beaufort Delta (Canada) was required to characterize the diverse range of disturbance morphologies and activity levels, which provided temporally consistent information on thaw slump affected slopes and attributes. The MSI delineation of three high-resolution hillshade DEMs (airborne stereo-imagery, LiDAR, ArcticDEM) revealed temporal and spatial trends in these multi-year, chronic mass-wasting features. For example, in the Tuktoyaktuk Coastal Plains, a +38 % increase in active RTS and +69 % increase in total active surface area were observed between 2004 and 2016. However, the total area of RTS did not change considerably (+3.5 %) because the vast majority of active thaw slumping processes have occurred in association with past disturbances. ... Text Arctic Ice permafrost Thermokarst Copernicus Publications: E-Journals Arctic Canada Tuktoyaktuk ENVELOPE(-133.006,-133.006,69.425,69.425)
institution Open Polar
collection Copernicus Publications: E-Journals
op_collection_id ftcopernicus
language English
description In the warming Arctic, retrogressive thaw slumping (RTS) has emerged as the primary thermokarst modifier of ice-rich permafrost slopes, raising urgency to investigate the distribution and intensification of disturbances and to determine trajectories of landscape evolution and the cascade of effects. Tracking RTS is challenging due to constraints of remote sensing products and a narrow understanding of thaw-driven landforms, however, high-resolution elevation models provide new insights into geomorphic change. Structural traits, such as RTS depth-of-thaw or volume, can be obtained through allometric scaling. To address fundamental knowledge gaps related to area-volume scaling of RTS, a suitable surface interpolation technique was first needed to model pre-disturbance topography upon which volume estimates could be based. Among 8 methods with 32 parameterizations, Natural Neighbour surface interpolation achieved the best precision in reconstructing pre-disturbed slope topography (90 th percentile Root Mean Square Difference ± 1.0 m). An inverse association between RTS volume and relative volumetric error was observed, with uncertainties <10 % for large slumps and <20 % for small-to-medium slumps. Second, a Multisource Slump Inventory (MSI) for two study areas in the Beaufort Delta (Canada) was required to characterize the diverse range of disturbance morphologies and activity levels, which provided temporally consistent information on thaw slump affected slopes and attributes. The MSI delineation of three high-resolution hillshade DEMs (airborne stereo-imagery, LiDAR, ArcticDEM) revealed temporal and spatial trends in these multi-year, chronic mass-wasting features. For example, in the Tuktoyaktuk Coastal Plains, a +38 % increase in active RTS and +69 % increase in total active surface area were observed between 2004 and 2016. However, the total area of RTS did not change considerably (+3.5 %) because the vast majority of active thaw slumping processes have occurred in association with past disturbances. ...
format Text
author Sluijs, Jurjen
Kokelj, Steven V.
Tunnicliffe, Jon F.
spellingShingle Sluijs, Jurjen
Kokelj, Steven V.
Tunnicliffe, Jon F.
Allometric scaling of retrogressive thaw slumps
author_facet Sluijs, Jurjen
Kokelj, Steven V.
Tunnicliffe, Jon F.
author_sort Sluijs, Jurjen
title Allometric scaling of retrogressive thaw slumps
title_short Allometric scaling of retrogressive thaw slumps
title_full Allometric scaling of retrogressive thaw slumps
title_fullStr Allometric scaling of retrogressive thaw slumps
title_full_unstemmed Allometric scaling of retrogressive thaw slumps
title_sort allometric scaling of retrogressive thaw slumps
publishDate 2022
url https://doi.org/10.5194/tc-2022-149
https://tc.copernicus.org/preprints/tc-2022-149/
long_lat ENVELOPE(-133.006,-133.006,69.425,69.425)
geographic Arctic
Canada
Tuktoyaktuk
geographic_facet Arctic
Canada
Tuktoyaktuk
genre Arctic
Ice
permafrost
Thermokarst
genre_facet Arctic
Ice
permafrost
Thermokarst
op_source eISSN: 1994-0424
op_relation doi:10.5194/tc-2022-149
https://tc.copernicus.org/preprints/tc-2022-149/
op_doi https://doi.org/10.5194/tc-2022-149
_version_ 1766342813436346368