Dynamics of soil reinforcement by roots in a regenerating coppice stand of Quercus serrata and effects on slope stability

Yamase, Keitaro; Todo, Chikage; Torii, Nobuyuki; Tanikawa, Toko; Yamamoto, Tomonori; Ikeno, Hidetoshi; Ohashi, Mizue; Dannoura, Masako; Hirano, Yasuhiro

doi:10.1016/j.ecoleng.2021.106169

Cited by 12 publications

(2 citation statements)

References 46 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For example, the timeliness of implementation depends on the vegetation establishment, and this is dependent on species, climate, type of soil involved…a point brought up by many experts in their comments to the survey. At the same time, effectiveness depends on multiple factors, including the age of vegetation and whether it is alive or decaying (Ni et al 2019;Yamase et al 2021;Foresta et al 2020).…”

Section: Response Margin In Parameter Evaluationmentioning

confidence: 99%

Recent innovations in the LaRiMiT risk mitigation tool: implementing a novel methodology for expert scoring and extending the database to include nature-based solutions

et al. 2022

View full text Add to dashboard Cite

This paper presents recent innovations implemented in the LaRiMiT (Landslide Risk Mitigation Toolbox) webtool. These include an innovative methodology for utilising experts’ scoring of landslide risk mitigation measures directly within the decision support tool, and updating of the tool’s database over structural measures to include many nature-based solutions (NBS) for mitigating landslide risk. Landslides are a common and treacherous natural hazard, and due to the effect of climate change on the frequency and intensity of extreme weather events, climate-driven landslides are expected to become more frequent. This negative trend is a driving factor for developing decision-support solutions for risk mitigation, and the LaRiMiT toolbox and the expert scoring methodology presented in this article contribute to meeting these needs. Selecting suitable structural measures is complicated due to factors such as site-specific conditions, local knowledge and resources, socio-economic constraints, and environmental considerations. LaRiMiT uses user-input attributes of site-specific slope movements combined with expert scoring of the suitability of various mitigation solutions to identify and select appropriate mitigation measures from an extensive database of structural solutions. While the LaRiMiT database initially included only conventional (grey) solutions relying on traditional methods, it has been recently expanded to include nature-based solutions (NBS), which are sustainable techniques for managing erosion and mitigating shallow landslides using vegetation and the use of natural materials. NBS and conventional solutions can also be combined to provide hybrid solutions. The proposed methodology for implementing expert scoring is dynamic and iterative, consisting of statistical pooling of experts’ scores collected via online surveys, and consolidating these into an expert scoring utility embedded in the LaRiMiT web portal engine. An initial application of this methodology has been tested by surveying a set of landslides experts, mostly in Europe, and applying it to the structural measures database in the LaRiMiT tool. Although the number of experts in this initial application is limited, dynamic updating of the scoring allows the tool to continuously improve as additional experts contribute.

show abstract

Section: Response Margin In Parameter Evaluationmentioning

confidence: 99%

Recent innovations in the LaRiMiT risk mitigation tool: implementing a novel methodology for expert scoring and extending the database to include nature-based solutions

et al. 2022

View full text Add to dashboard Cite

show abstract

“…Root systems anchor trees, capture and store resources, and sense the environment [1]. They contribute to the resistance to uprooting and prevent soil erosion, thus supporting slope stability [2,3].…”

Section: Introductionmentioning

confidence: 99%

Reconstruction of Conifer Root Systems Mapped with Point Cloud Data Obtained by 3D Laser Scanning Compared with Manual Measurement

Todo

Ikeno

Yamase

et al. 2021

Forests

Self Cite

View full text Add to dashboard Cite

Three-dimensional (3D) root system architecture (RSA) is a predominant factor in anchorage failure in trees. Only a few studies have used 3D laser scanners to evaluate RSA, but they do not check the accuracy of measurements. 3D laser scanners can quickly obtain RSA data, but the data are collected as a point cloud with a large number of points representing surfaces. The point cloud data must be converted into a set of interconnected axes and segments to compute the root system traits. The purposes of this study were: (i) to propose a new method for easily obtaining root point data as 3D coordinates and root diameters from point cloud data acquired by 3D laser scanner measurement; and (ii) to compare the accuracy of the data from main roots with intensive manual measurement. We scanned the excavated root systems of two Pinus thunbergii Parl. trees using a 3D laser scanner and neuTube software, which was developed for reconstructing the neuronal structure, to convert the point cloud data into root point data for reconstructing RSA. The reconstruction and traits of the RSA calculated from point cloud data were similar in accuracy to intensive manual measurements. Roots larger than 7 mm in diameter were accurately measured by the 3D laser scanner measurement. In the proposed method, the root point data were connected as a frustum of cones, so the reconstructed RSAs were simpler than the 3D root surfaces. However, the frustum of cones still showed the main coarse root segments correctly. We concluded that the proposed method could be applied to reconstruct the RSA and calculate traits using point cloud data of the root system, on the condition that it was possible to model both the stump and ovality of root sections.

show abstract

Plant roots in the active zone improving the performance of ecological reinforced soil retaining walls

Zhou,

2023

Bull Eng Geol Environ

View full text Add to dashboard Cite

Dynamics of soil reinforcement by roots in a regenerating coppice stand of Quercus serrata and effects on slope stability

Cited by 12 publications

References 46 publications

Recent innovations in the LaRiMiT risk mitigation tool: implementing a novel methodology for expert scoring and extending the database to include nature-based solutions

Recent innovations in the LaRiMiT risk mitigation tool: implementing a novel methodology for expert scoring and extending the database to include nature-based solutions

Reconstruction of Conifer Root Systems Mapped with Point Cloud Data Obtained by 3D Laser Scanning Compared with Manual Measurement

Plant roots in the active zone improving the performance of ecological reinforced soil retaining walls

Contact Info

Product

Resources

About