Articles | Volume 22, issue 8
https://doi.org/10.5194/nhess-22-2611-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-22-2611-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Introducing SlideforMAP: a probabilistic finite slope approach for modelling shallow-landslide probability in forested situations
Feiko Bernard van Zadelhoff
CORRESPONDING AUTHOR
HAFL, Bern University of Applied Sciences, Länggasse 85, CH-3052 Zollikofen, Switzerland
Adel Albaba
HAFL, Bern University of Applied Sciences, Länggasse 85, CH-3052 Zollikofen, Switzerland
Denis Cohen
CoSci LLC, Placitas, NM 87043, USA
Chris Phillips
Manaaki Whenua – Landcare Research, Lincoln, New Zealand
Bettina Schaefli
Institute of Geography (GIUB) & Oeschger Centre for Climate Change Research (OCCR), University of Bern, 3012 Bern, Switzerland
Luuk Dorren
HAFL, Bern University of Applied Sciences, Länggasse 85, CH-3052 Zollikofen, Switzerland
International EcorisQ Association, P.O. Box 2348, 1211 Geneva 2, Switzerland
Massimiliano Schwarz
HAFL, Bern University of Applied Sciences, Länggasse 85, CH-3052 Zollikofen, Switzerland
International EcorisQ Association, P.O. Box 2348, 1211 Geneva 2, Switzerland
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Cited
21 citations as recorded by crossref.
- Rainfall-induced landslide risk: the state of the art and future needs T. Wang et al.
- Inclusion of Nature-Based Solution in the Evaluation of Slope Stability in Large Areas L. Zedek et al.
- Optimisation and application of a high-resolution shallow landslide model at regional scale C. Schaller et al.
- Current progress in quantifying and monitoring instream large wood supply and transfer in rivers V. Ruiz‐Villanueva et al.
- Quantifying the spatio-temporal mechanical root reinforcement of the pioneer species Betula pendula: experimental investigations and modelling for a case study in Western Norway A. DiBiagio et al.
- Accelerating Effect of Vegetation on the Instability of Rainfall-Induced Shallow Landslides J. Zhang et al.
- Comparing physical and statistical landslide susceptibility models at the scale of individual trees R. Spiekermann et al.
- Exploring the influence of alfalfa root reinforcement on the loess slopes reliability analysis J. Li et al.
- GIS-based prediction method of shallow landslides induced by heavy rainfall in large mountainous areas X. Luo et al.
- Using trajectory modeling for delineation and valuation of protection forests against rockfalls and landslides E. Marras et al.
- A Computationally Efficient Method to Determine the Probability of Rainfall-Triggered Cut Slope Failure Accounting for Upslope Hydrological Conditions E. Robson et al.
- Influence of Root Reinforcement on Shallow Landslide Distribution: A Case Study in Garfagnana (Northern Tuscany, Italy) L. Marzini et al.
- Effects of Land Cover Changes on Shallow Landslide Susceptibility Using SlideforMAP Software (Mt. Nerone, Italy) I. Murgia et al.
- The Role of Tree Size in Root Reinforcement: A Comparative Study of Trema orientalis and Mallotus paniculatus C. Fan et al.
- Hydro-mechanical effects of deciduous forest on slope stability: First results from a case study in Western Norway A. DiBiagio et al.
- Analysis of Poplar’s (Populus nigra ita.) Root Systems for Quantifying Bio-Engineering Measures in New Zealand Pastoral Hill Country H. Ngo et al.
- Variabilities in the tensile properties of plant roots for engineering nature-based solution J. Xian et al.
- State-of-the-art: parametrization of hydrological and mechanical reinforcement effects of vegetation in slope stability models for shallow landslides A. DiBiagio et al.
- Using global sensitivity analysis to quantify the uncertainty of root reinforcement in vegetated slope stability J. Xian et al.
- Vegetation-induced modifications in hydrological processes and the consequential dynamic effects of slope stability Z. Deng et al.
- Predicting the thickness of shallow landslides in Switzerland using machine learning C. Schaller et al.
21 citations as recorded by crossref.
- Rainfall-induced landslide risk: the state of the art and future needs T. Wang et al.
- Inclusion of Nature-Based Solution in the Evaluation of Slope Stability in Large Areas L. Zedek et al.
- Optimisation and application of a high-resolution shallow landslide model at regional scale C. Schaller et al.
- Current progress in quantifying and monitoring instream large wood supply and transfer in rivers V. Ruiz‐Villanueva et al.
- Quantifying the spatio-temporal mechanical root reinforcement of the pioneer species Betula pendula: experimental investigations and modelling for a case study in Western Norway A. DiBiagio et al.
- Accelerating Effect of Vegetation on the Instability of Rainfall-Induced Shallow Landslides J. Zhang et al.
- Comparing physical and statistical landslide susceptibility models at the scale of individual trees R. Spiekermann et al.
- Exploring the influence of alfalfa root reinforcement on the loess slopes reliability analysis J. Li et al.
- GIS-based prediction method of shallow landslides induced by heavy rainfall in large mountainous areas X. Luo et al.
- Using trajectory modeling for delineation and valuation of protection forests against rockfalls and landslides E. Marras et al.
- A Computationally Efficient Method to Determine the Probability of Rainfall-Triggered Cut Slope Failure Accounting for Upslope Hydrological Conditions E. Robson et al.
- Influence of Root Reinforcement on Shallow Landslide Distribution: A Case Study in Garfagnana (Northern Tuscany, Italy) L. Marzini et al.
- Effects of Land Cover Changes on Shallow Landslide Susceptibility Using SlideforMAP Software (Mt. Nerone, Italy) I. Murgia et al.
- The Role of Tree Size in Root Reinforcement: A Comparative Study of Trema orientalis and Mallotus paniculatus C. Fan et al.
- Hydro-mechanical effects of deciduous forest on slope stability: First results from a case study in Western Norway A. DiBiagio et al.
- Analysis of Poplar’s (Populus nigra ita.) Root Systems for Quantifying Bio-Engineering Measures in New Zealand Pastoral Hill Country H. Ngo et al.
- Variabilities in the tensile properties of plant roots for engineering nature-based solution J. Xian et al.
- State-of-the-art: parametrization of hydrological and mechanical reinforcement effects of vegetation in slope stability models for shallow landslides A. DiBiagio et al.
- Using global sensitivity analysis to quantify the uncertainty of root reinforcement in vegetated slope stability J. Xian et al.
- Vegetation-induced modifications in hydrological processes and the consequential dynamic effects of slope stability Z. Deng et al.
- Predicting the thickness of shallow landslides in Switzerland using machine learning C. Schaller et al.
Saved (final revised paper)
Latest update: 30 Apr 2026
Short summary
Shallow landslides pose a risk to people, property and infrastructure. Assessment of this hazard and the impact of protective measures can reduce losses. We developed a model (SlideforMAP) that can assess the shallow-landslide risk on a regional scale for specific rainfall events. Trees are an effective and cheap protective measure on a regional scale. Our model can assess their hazard reduction down to the individual tree level.
Shallow landslides pose a risk to people, property and infrastructure. Assessment of this hazard...
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