Stability of Pinus thunbergii between two contrasting stands at differing distances from the coastline

Todo, Chikage; Tokoro, Chie; Yamase, Keitaro; Tanikawa, Toko; Ohashi, Mizue; Ikeno, Hidetoshi; Dannoura, Masako; Miyatani, Kouhei; Doi, Ryuusei; Hirano, Yasuhiro

doi:10.1016/j.foreco.2018.05.040

Cited by 15 publications

(7 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…trees were targeted (root system 1, root system 2) as shown in Figure 1. The trees grew in a coastal forest stretching 8 km to the west end of the Atsumi Peninsula, Tahara City, Aichi, Tokai District, Japan [32][33][34][35], and were replanted after heavy damage by Typhoon Vera in 1959 [32]. The soil was sandy in nature [36].…”

Section: Test Treesmentioning

confidence: 99%

“…From 1981 to 2010, the mean annual temperature was 16.0 °C, and the mean annual precipitation was 1603 mm [37]. After measuring the tree height and DBH, we measured the critical turning moment in tree-pulling experiments using the method described by Todo et al [35] and cut the trees at the ground level. The tree-pulling experiment was performed as follows: a polyester belt sling (safe working load: 6.3 t) was attached to the tree, connected to a 10 mm diameter wire rope 1 m above the ground, and this was pulled, parallel to the ground, by an excavator.…”

Section: Test Treesmentioning

confidence: 99%

“…The tree-pulling experiment was performed as follows: a polyester belt sling (safe working load: 6.3 t) was attached to the tree, connected to a 10 mm diameter wire rope 1 m above the ground, and this was pulled, parallel to the ground, by an excavator. A load cell (maximum load 50 kN, LT-50KNG56 NIKKEI Electronic Instruments Co. Ltd., Tokyo, Japan) was connected between the belt sling and wire rope, and the load data were recorded at intervals of 0.1 s through a bridge unit (DBU-120A, After measuring the tree height and DBH, we measured the critical turning moment in tree-pulling experiments using the method described by Todo et al [35] and cut the trees at the ground level. The tree-pulling experiment was performed as follows: a polyester belt sling (safe working load: 6.3 t) was attached to the tree, connected to a 10 mm diameter wire rope 1 m above the ground, and this was pulled, parallel to the ground, by an excavator.…”

Section: Test Treesmentioning

confidence: 99%

See 2 more Smart Citations

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

Section: Test Treesmentioning

confidence: 99%

Section: Test Treesmentioning

confidence: 99%

Section: Test Treesmentioning

confidence: 99%

See 1 more Smart Citation

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

show abstract

“…Yet our understanding of coarse-root functions is poor. Todo et al (2018; this issue) investigated coarse-root anchorage in a Japanese coastal pine forest. The authors showed that the relationship between tree size and anchorage did not differ between land-side and sea-side plots, suggesting that the plate root systems of sea-side trees are acclimated to strong winds and the shallower ground water table: the lower critical turning moment of the plate-root system of sea-side pine trees is compensated for by enhanced horizontal root development.…”

Section: Future Challenges: Tsunamis Heavy Forest Equipment and Seedling Regenerationmentioning

confidence: 99%

Roots and rhizospheres in forest ecosystems: Recent advances and future challenges

Meier

Brunner

Godbold

et al. 2019

Forest Ecology and Management

View full text Add to dashboard Cite

“…Soil water deficits, due to deep groundwater levels, cause the dieback of trees at inland windbreaks under dry climates [6], whereas windbreaks can decline in vigor due to shallow groundwater at coastal sand dunes [7,8] and near paddy fields [9] in humid regions. High groundwater levels cause roots to remain shallow [10], reducing the resistance of coastal windbreaks to tsunamis [11]. Trees with shallow roots can be easily uprooted during a tsunami and carried to residential areas.…”

Section: Introductionmentioning

confidence: 99%

Application of Ground-Penetrating Radar and a Combined Penetrometer–Moisture Probe for Evaluating Spatial Distribution of Soil Moisture and Soil Hardness in Coastal and Inland Windbreaks

et al. 2020

View full text Add to dashboard Cite

The development of a method to easily investigate the spatial distribution of soil moisture and soil hardness in tree windbreaks is necessary because these windbreaks often decline due to inappropriate soil moisture condition and soil compaction. This research examined the applicability of ground-penetrating radar (GPR) and a combined penetrometer–moisture probe (CPMP) for evaluating the spatial distribution of soil moisture and soil hardness in four windbreaks with different soil characteristics. A GPR-reflecting interface was observed at a less permeable layer in a coastal windbreak and at a depth affected by soil compaction in an inland windbreak with andosol. The spatial distribution of the groundwater table could also be evaluated by examining the attenuation of GPR reflection in a coastal windbreak. In contrast, GPR was not applicable in an inland windbreak with peat because of high soil water content near the soil surface. The CPMP could detect vertical distributions of soil hardness and soil water content regardless of soil type. The CPMP was useful for interpreting GPR profiles, and GPR was useful for interpolating the information about the horizontal distribution of soil moisture and soil hardness between survey points made with the CPMP. Thus, the combination of GPR and a CPMP is ideal for examining the two-dimensional spatial distribution of soil moisture and soil hardness at windbreaks with soils for which both methods are applicable.

show abstract

Stability of Pinus thunbergii between two contrasting stands at differing distances from the coastline

Cited by 15 publications

References 33 publications

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

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

Roots and rhizospheres in forest ecosystems: Recent advances and future challenges

Application of Ground-Penetrating Radar and a Combined Penetrometer–Moisture Probe for Evaluating Spatial Distribution of Soil Moisture and Soil Hardness in Coastal and Inland Windbreaks

Contact Info

Product

Resources

About