Articles | Volume 21, issue 11
https://doi.org/10.5194/nhess-21-3421-2021
https://doi.org/10.5194/nhess-21-3421-2021
Research article
 | 
11 Nov 2021
Research article |  | 11 Nov 2021

Investigating causal factors of shallow landslides in grassland regions of Switzerland

Lauren Zweifel, Maxim Samarin, Katrin Meusburger, and Christine Alewell

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Cited articles

Alewell, C., Schaub, M., and Conen, F.: A method to detect soil carbon degradation during soil erosion, Biogeosciences, 6, 2541–2547, https://doi.org/10.5194/bg-6-2541-2009, 2009. a
Alewell, C., Ringeval, B., Ballabio, C., Robinson, D. A., Panagos, P., and Borrelli, P.: Global phosphorus shortage will be aggravated by soil erosion, Nat. Commun., 11, 4546, https://doi.org/10.1038/s41467-020-18326-7, 2020. a
Amato, G., Eisank, C., Castro-Camilo, D., and Lombardo, L.: Accounting for covariate distributions in slope-unit-based landslide susceptibility models. A case study in the alpine environment, Eng. Geol., 260, 105237, https://doi.org/10.1016/j.enggeo.2019.105237, 2019. a
Barbb, E.: Innovative approaches to landslide hazard and risk mapping, in: Proc. of the IV International Symposiumon Landslides, Toronto, 16–21 September, 307–323, 1984. a
Beven, K. J. and Kirkby, M. J.: A physically based, variable contributing area model of basin hydrology, Hydrol. Sci. B., 24, 43–69, 1979. a
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Short summary
Mountainous grassland areas can be severely affected by soil erosion, such as by shallow landslides. With an automated mapping approach we are able to locate shallow-landslide sites on aerial images for 10 different study sites across Swiss mountain regions covering a total of 315 km2. Using a statistical model we identify important explanatory variables for shallow-landslide occurrence for the individual sites as well as across all regions, which highlight slope, aspect and terrain roughness.
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