Articles | Volume 17, issue 11
Research article
30 Oct 2023
Research article |  | 30 Oct 2023

Allometric scaling of retrogressive thaw slumps

Jurjen van der Sluijs, Steven V. Kokelj, and Jon F. Tunnicliffe

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Cited articles

Aylsworth, J. M., Rodkin-Duk, A., Robertson, T., and Traynor, J. A.: Landslide of the Mackenzie valley and adjacent mountanainous and coastal regions, in: The Physical Environment of the Mackenzie Valley: A Baseline for the Assessment of Environmental Change, edited by: Dyke, L. D. and Brooks, G. R., 167–176, ISBN 0-660-18281-5, 2000. 
Bater, C. W. and Coops, N. C.: Evaluating error associated with lidar-derived DEM interpolation, Comput. Geosci., 35, 289–300,, 2009. 
Bergonse, R. and Reis, E.: Reconstructing pre-erosion topography using spatial interpolation techniques: A validation-based approach, J. Geogr. Sci., 25, 196–210,, 2015. 
Bernhard, P., Zwieback, S., Leinss, S., and Hajnsek, I.: Mapping Retrogressive Thaw Slumps Using Single-Pass TanDEM-X Observations, IEEE J. Sel. Top. Appl., 13, 3263–3280,, 2020. 
Bernhard, P., Zwieback, S., Bergner, N., and Hajnsek, I.: Assessing volumetric change distributions and scaling relations of retrogressive thaw slumps across the Arctic, The Cryosphere, 16, 1–15,, 2022. 
Short summary
There is an urgent need to obtain size and erosion estimates of climate-driven landslides, such as retrogressive thaw slumps. We evaluated surface interpolation techniques to estimate slump erosional volumes and developed a new inventory method by which the size and activity of these landslides are tracked through time. Models between slump area and volume reveal non-linear intensification, whereby model coefficients improve our understanding of how permafrost landscapes may evolve over time.