Hydro-mechanical effects of deciduous forest on slope stability: First results from a case study in Western Norway

The use of vegetation as a nature-based solution for shallow landslide risk reduction is receiving increased attention in the scientific community, as plants can provide hydro-mechanical reinforcement of slopes. Although numerous studies on this topic are well-documented in the literature, the hydro-mechanical effects of vegetation on partially saturated slopes under Nordic conditions remain unexplored. In this study, the first results from a newly established case study site located in Western Norway are presented. The study site is situated on a natural slope partially used as hayfield and partially covered by deciduous forest. The study includes an assessment of both the hydrological and mechanical reinforcement effects of the forest, as compared with the control scenario represented by the hayfield. Reinforcement effects analysed include changes in soil suction and volumetric water content induced by the forest and mechanical root reinforcement acting on the basal plane of a potential slip surface. The preliminary results show that the deciduous forest significantly contribute to slope stability through both hydrological and mechanical reinforcement. Despite the short monitoring period, these results provide valuable insights into the role of deciduous forest in mitigating shallow landslides in Western Norway.

Authors

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-08-14
DOI
https://doi.org/10.1051/e3sconf/202564201011/pdf
Primary Topic
Tree Root and Stability Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Hydro-mechanical effects of deciduous forest on slope stability: First results from a case study in Western Norway

Vittoria Capobianco, Lena M. Tallaksen, Amanda DiBiagio, Amy Oen
Springer Link (Chiba Institute of Technology)
Tree Root and Stability Studies
article

Hydro-mechanical effects of deciduous forest on slope stability: First results from a case study in Western Norway

Vittoria Capobianco, Lena M. Tallaksen, Amanda DiBiagio, Amy Oen
article en

Abstract

The use of vegetation as a nature-based solution for shallow landslide risk reduction is receiving increased attention in the scientific community, as plants can provide hydro-mechanical reinforcement of slopes. Although numerous studies on this topic are well-documented in the literature, the hydro-mechanical effects of vegetation on partially saturated slopes under Nordic conditions remain unexplored. In this study, the first results from a newly established case study site located in Western Norway are presented. The study site is situated on a natural slope partially used as hayfield and partially covered by deciduous forest. The study includes an assessment of both the hydrological and mechanical reinforcement effects of the forest, as compared with the control scenario represented by the hayfield. Reinforcement effects analysed include changes in soil suction and volumetric water content induced by the forest and mechanical root reinforcement acting on the basal plane of a potential slip surface. The preliminary results show that the deciduous forest significantly contribute to slope stability through both hydrological and mechanical reinforcement. Despite the short monitoring period, these results provide valuable insights into the role of deciduous forest in mitigating shallow landslides in Western Norway.

Springer Link (Chiba Institute of Technology)
Life in Land
Openalex Percentile: Top 40%
Tree Root and Stability Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.