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Root Reinforcement in Slope Stability Models: A Review.

Authors :
Masi, Elena Benedetta
Segoni, Samuele
Tofani, Veronica
Soldato, Matteo Del
Novellino, Alessandro
Solari, Lorenzo
Martinez-Frias, Jesus
Source :
Geosciences (2076-3263). May2021, Vol. 11 Issue 5, p212. 1p.
Publication Year :
2021

Abstract

The influence of vegetation on mechanical and hydrological soil behavior represents a significant factor to be considered in shallow landslides modelling. Among the multiple effects exerted by vegetation, root reinforcement is widely recognized as one of the most relevant for slope stability. Lately, the literature has been greatly enriched by novel research on this phenomenon. To investigate which aspects have been most treated, which results have been obtained and which aspects require further attention, we reviewed papers published during the period of 2015–2020 dealing with root reinforcement. This paper—after introducing main effects of vegetation on slope stability, recalling studies of reference—provides a synthesis of the main contributions to the subtopics: (i) approaches for estimating root reinforcement distribution at a regional scale; (ii) new slope stability models, including root reinforcement and (iii) the influence of particular plant species, forest management, forest structure, wildfires and soil moisture gradient on root reinforcement. Including root reinforcement in slope stability analysis has resulted a topic receiving growing attention, particularly in Europe; in addition, research interests are also emerging in Asia. Despite recent advances, including root reinforcement into regional models still represents a research challenge, because of its high spatial and temporal variability: only a few applications are reported about areas of hundreds of square kilometers. The most promising and necessary future research directions include the study of soil moisture gradient and wildfire controls on the root strength, as these aspects have not been fully integrated into slope stability modelling. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20763263
Volume :
11
Issue :
5
Database :
Academic Search Index
Journal :
Geosciences (2076-3263)
Publication Type :
Academic Journal
Accession number :
150500176
Full Text :
https://doi.org/10.3390/geosciences11050212