Allometric scaling of retrogressive thaw slumps

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

doi:https://doi.org/10.5194/tc-17-4511-2023

Articles | Volume 17, issue 11

https://doi.org/10.5194/tc-17-4511-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/tc-17-4511-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

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

Supplement

https://doi.org/10.5194/tc-17-4511-2023-supplement

Data sets

Multisource Slump Inventory Jurjen van der Sluijs, Steven V. Kokelj https://doi.org/10.46887/2023-013

Supplementary code and data to Allometric scaling of retrogressive thaw slump J. Van der Sluijs https://doi.org/10.5281/zenodo.8357261

Model code and software

Supplementary code and data to Allometric scaling of retrogressive thaw slump J. Van der Sluijs https://doi.org/10.5281/zenodo.8357261

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.