Spatial analysis of solifluction landforms and process rates in the Abisko Mountains, northern Sweden
Abstract The occurrence of turf‐banked solifluction landforms in the Abisko region was analysed using a grid‐based approach and statistical modelling through logistic regression. Significant parameters in the model were the vegetation index NDVI, annual incoming potential radiation, wetness index, s...
| Published in: | Permafrost and Periglacial Processes |
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| Main Authors: | , , |
| Format: | Article in Journal/Newspaper |
| Language: | English |
| Published: |
Wiley
2010
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| Subjects: | |
| Online Access: | http://dx.doi.org/10.1002/ppp.681 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fppp.681 https://onlinelibrary.wiley.com/doi/pdf/10.1002/ppp.681 |
| Summary: | Abstract The occurrence of turf‐banked solifluction landforms in the Abisko region was analysed using a grid‐based approach and statistical modelling through logistic regression. Significant parameters in the model were the vegetation index NDVI, annual incoming potential radiation, wetness index, slope gradient and elevation. The model had an acceptable discrimination capacity and rather low model‐fit values, but clearly showed the importance of vegetation patterns for the occurrence of solifluction at a regional scale. Solifluction movement rates measured at eight sites were combined with model parameters and the annual duration of sun hours to regionalise solifluction movement rates through an unsupervised terrain classification. For comparison, the linear relationship between the probability of solifluction occurrence and variations in movement rates was also used to regionalise movement rates. Potential geomorphic work was calculated for six different areas within the region, with the greatest being for Kärkevagge, the area with the highest precipitation. The combination of a logistic regression model of mapped landforms and field measurements of solifluction rates represents a promising methodology to assess the occurrence and activity of the process at a regional scale. Copyright © 2010 John Wiley & Sons, Ltd. |
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