Effect of soil moisture content on the deformation behaviour of root-reinforced soils subjected to shear

Fan, Chia-Cheng; Su, Chih-Feng

doi:10.1007/s11104-008-9856-1

Cited by 34 publications

(19 citation statements)

References 16 publications

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“…Various studies have been reported to quantify soil moisture/suction under drying (i.e., ET) and wetting (i.e., rainfall or ponding) events in soil vegetated with non-crop species (Simon and Collison, 2002;Smethurst et al, 2006;Fan and Su, 2009;Pollen-Bankhead and Simon, 2010;Smethurst et al, 2012;Ghestem et al, 2014;Veylon, 2015;Leung et al, 2015a, b). In most of these studies, a mix of species was used, making it very hard (if not impossible) to identify the root characteristics of those species and, more importantly, to understand their correlation with suction.…”

Section: Introductionmentioning

confidence: 99%

Relationships between leaf and root area indices and soil suction induced during drying–wetting cycles

Garg

Leung

et al. 2016

Ecological Engineering

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The stability and serviceability of geotechnical infrastructure may be affected by plantinduced soil suction during drying-wetting cycles, because an increase in suction would reduce hydraulic conductivity and also increase shear strength. Recent studies have been conducted to quantify suction induced during evapotranspiration (ET) and ponding in soil vegetated with non-crop species that are used for the ecological restoration of geotechnical infrastructure. However, induced suction distribution under drying-wetting cycles has not been investigated. The objectives of this study are to (1) quantify suction induced by a noncrop tree species, Schefflera heptaphylla, under ponding-drying-ponding cycles and (2) correlate intercepted radiant energy, tree leaf area index (LAI), extinction coefficient (k) and root area index (RAI) with suction. In total, 18 vegetated soil samples with LAI ranging from 0.9 to 3.1 and three bare soil samples (control) were tested and subjected to identical cycles of ET and ponding. Energy balance calculation was performed to determine the percentage of interception of radiant energy. An almost linear relationship can be seen between the percentage of energy intercepted (from 7% to 42% ± 4%) and LAI (from 0.9 to 3.1 ± 0.09) for S. heptaphylla. The measured value of k for S. heptaphylla (0.13) was found to be much lower than that of some crop species (0.4-1.6) reported in the literature. Peak suction is always identified at the depth, where RAI is maximum. It was further demonstrated that the tree-induced suction has a strong linear correlation with both the RAI and LAI.

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Section: Introductionmentioning

confidence: 99%

Relationships between leaf and root area indices and soil suction induced during drying–wetting cycles

Garg

Leung

et al. 2016

Ecological Engineering

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“…All data were analysed qualitatively using a combination of maps and plots of summary statistics. Maps were generated within ArcGIS (ESRI 2006) and data were exported and statistical modelling was carried out using the statistical package R (2006). Data were analysed by analysis of variance (ANOVA) or its multivariate counterpart (MANOVA), where appropriate.…”

Section: Data Processingmentioning

confidence: 99%

“…Using the corresponding predicted subsidence contours associated with these points, a series of polygons (2007) corresponding with these zones were created within Arc-GIS (ESRI 2006). Using the spatial join function of Arc-GIS (ESRI 2006), the points within each zone (both block scale and regional scale) were identified.…”

Section: Creating Lms Zones For Impact Assessmentmentioning

confidence: 99%

“…Using the spatial join function of Arc-GIS (ESRI 2006), the points within each zone (both block scale and regional scale) were identified. An example of the location of the vineyard block scale-sampled vines with regard to subsidence zones and mining direction (Block A.4) is provided in Fig.…”

Section: Creating Lms Zones For Impact Assessmentmentioning

confidence: 99%

“…For the regional-scale NDVI data, the percent slope and aspect of 2.5 m 9 2.5 m grid cells were obtained from a pre-mining digital elevation model of the site. For each NDVI point, the spatial join function of ArcGIS (ESRI 2006) was used to identify the slope and aspect of each individual NDVI data point. The aspect data were used during the statistical modelling process for the regionalscale data.…”

Section: Creating Lms Zones For Impact Assessmentmentioning

confidence: 99%

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Monitoring the effects of longwall mine-induced subsidence on vineyards

et al. 2010

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This paper reports on the design and implementation of a program to monitor the surface effects of longwall mining-induced subsidence on wine grape yields within vineyards of Australia's Hunter Valley. Implemented in 2003, this five-year project incorporated a multiscale, multi-temporal, sliding window monitoring design synchronised with progression of longwall panels. On the vineyard-block scale, individual vine panels were sampled for grape yield. On the regional scale measures of vine photosynthetically active biomass were obtained from remotely sensed, Quickbird satellite imagery. All data were analysed in conjunction with three identified subsidence ''zones'': minimum subsidence associated with chainpillars, maximum subsidence associated with the longwall, and a zone corresponding to the transition between them. Visual observations conducted throughout the campaign confirmed the occurrence of isolated localised surface cracking, particularly in areas of maximum soil tension. However, both vineyard and block-scale data indicated no obvious, systematic mining-induced viticultural effects in the study site investigated during the study period. Rather, observed trends in vine yields were better explained by vine biophysical responses to climatic factors.

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Soil moisture causes dynamic adjustments to root reinforcement that reduce slope stability

Hales

Miniat

2016

Earth Surf Processes Landf

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In steep soil‐mantled landscapes, the initiation of shallow landslides is strongly controlled by the distribution of vegetation, whose roots reinforce the soil. The magnitude of root reinforcement depends on the number, diameter distribution, orientation and the mechanical properties of roots that cross potential failure planes. Understanding how these properties vary in space and time in forests remains a significant challenge. Here we test the hypothesis that spatio‐temporal variations in root reinforcement along a hillslope occur as a function of topographic soil moisture gradients. To test this hypothesis we compared root reinforcement measurements from relatively dry, divergent noses to relatively wet, convergent hollows in the southern Appalachian Mountains, North Carolina, USA. Our initial results showed that root reinforcement decreased in areas of higher soil moisture because the tensile strength of roots decreased. A post hoc laboratory experiment further demonstrated that root tensile strength decreased as root moisture content increased. This effect is consistent with other experiments on stem woods showing that increased water content in the cell wall decreases tensile strength. Our experimental data demonstrated that roots can adjust to changes in the external root moisture conditions within hours, suggesting that root moisture content will change over the timescale of large storm events (hours–days). We assessed the effects of the dynamic changes in root tensile strength to the magnitude of apparent cohesion within the infinite slope stability model. Slopes can be considerably less stable when precipitation‐driven increases in saturated soil depth both increase pore pressures and decrease root reinforcement. Copyright © 2016 John Wiley & Sons, Ltd.

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Effect of soil moisture content on the deformation behaviour of root-reinforced soils subjected to shear

Cited by 34 publications

References 16 publications

Relationships between leaf and root area indices and soil suction induced during drying–wetting cycles

Relationships between leaf and root area indices and soil suction induced during drying–wetting cycles

Monitoring the effects of longwall mine-induced subsidence on vineyards

Soil moisture causes dynamic adjustments to root reinforcement that reduce slope stability

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