Assessing the soil moisture effects of planted vegetation on slope stability in shallow landslide-prone areas

Li, Jia; Wang, Xia; Jia, Hongjie; Yang, Lei; Zhao, Yun; Shi, Chunrui; Zhang, Furong; Wang, Kaichang

doi:10.1007/s11368-021-02957-4

Cited by 33 publications

(14 citation statements)

References 58 publications

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“…The study area is located in the Bailong River basin (Miaoping Village, Liangshui Town, Longnan Section, Gansu Province, China, 104 • 48 ′ E, 33 • 26 ′ 17 ′′ N, Figure 1a) at the intersection of the Qinghai-Tibet Plateau and the north of the Western Sichuan Plateau, which is an important part of the ecological barrier and the water-source containment area of the upper reaches of the Yangtze River [22]. The percentage of forested land on both sides of the watershed is 43.5%, shrubland and grassland is 33.98%, and farmland is 20.67% [21,23].…”

Section: Study Areamentioning

confidence: 99%

Vegetation Types Can Affect Soil Organic Carbon and δ13C by Influencing Plant Inputs in Topsoil and Microbial Residue Carbon Composition in Subsoil

Sun,

Wang,

Zhang

et al. 2024

Sustainability

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Plantation is an economical and effective method of ecological restoration, which is also a common means to increase soil organic carbon (SOC) content. However, the effects of vegetation types on SOC accumulation and δ13C distribution during ecological restoration are still not clear. Therefore, we evaluated the soils under four types of restoration measures: plantation (PL, dominated by Olea europaea ‘Leccino’), grasslands [GLs, Setaria viridis], croplands [CLs, Zea mays] and shrublands (SLs, Lycium chinense Mill), after 11-year restoration. SOC and the natural stable carbon isotope abundance in four recovery modes were determined, while amino sugars (ASs) and lignin phenols (LPs) were used as biomarkers to identify microbial- and plant-derived carbon, respectively. The results showed that SOC, AS, and LP decreased with the increasing of soil depth, and SOC and LP showed the same trend in topsoil (0–20 cm). ASs in subsoil (40–50 cm) were significantly higher in GLs than that in CLs and the PL, while fungi residue carbon in GLs was significantly higher in subsoil. The δ13C in topsoil was mainly affected by plant factors, especially by litter. With the increasing soil depth, the effect of plants on δ13C decreased, and the effect of microorganisms increased. Vegetation types could affect SOC and δ13C by influencing plant inputs in topsoil. In the subsoil, differences in microbial compositions under different vegetation types could affect δ13C enrichment. The study revealed the effects of vegetation types on SOC accumulation and δ13C distribution during ecological restoration, emphasized that vegetation types can affect SOC accumulation by influencing the plant input of topsoil and the microbial compositions in subsoil, and provided a reference for the development of management policies in restoration areas.

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Section: Study Areamentioning

confidence: 99%

Vegetation Types Can Affect Soil Organic Carbon and δ13C by Influencing Plant Inputs in Topsoil and Microbial Residue Carbon Composition in Subsoil

Sun,

Wang,

Zhang

et al. 2024

Sustainability

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“…Compared with tall trees, shrubland has a lower center of gravity, is less affected by rainfall and wind, and is less prone to lodging. Moreover, according to Li et al [47], the soil moisture content can affect the runoff and slope stability. The distribution of water content in soil is also affected by plant species and root systems.…”

Section: Forest Typesmentioning

confidence: 99%

Analysis of the Influence of Forests on Landslides in the Bijie Area of Guizhou

Shen

Zhou

Luo

2022

Forests

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Forests are an important part of the ecological environment, and changes in forests not only affect the ecological environment of the region but are also an important factor causing landslide disasters. In order to correctly evaluate the impact of forest cover on landslide susceptibility, in this paper, we build an evaluation model for the contribution of forests to the landslide susceptibility of different grades based on survey data for forest land change in Bijie City and landslide susceptibility data, and discuss the effects of forest land type, origin, age group, and dominant tree species on landslide susceptibility. We find that forests play a certain role in regulating landslide susceptibility: compared with woodland, the landslide protection ability of shrubland is stronger. Furthermore, natural forests have a greater inhibitory effect on landslides than artificial forests, and compared with young forest, mature forest and over-mature forest, middle-aged forest and near-mature forest have stronger landslide protection abilities. In addition, the dominant tree species in different regions have different impacts on landslides. Coniferous forests such as Chinese fir and Cryptomeria fortunei in Qixingguan and Dafang County have a low ability to prevent landslides. Moreover, the soft broad tree species found in Qianxi County, Zhijin County, Nayong County and Jinsha County are likely to cause landslides and deserve further research attention. Additionally, a greater focus should be placed on the landslide protection of walnut economic forests in Hezhang County and Weining County. Simultaneously, greater attention should be paid to the Cyclobalanopsis glauca tree species in Weining County because the area where this tree species is located is prone to landslides. Aiming at addressing the landslide susceptibility existing in different forests, we propose forest management strategies for the ecological prevention and control of landslides in Bijie City, which can be used as a reference for landslide susceptibility prevention and control.

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Section: Feature Importance Analysismentioning

confidence: 99%

“…The area proportion of forest and vegetation cover are also important factors (with a total contribution of 9%), which gives us a new understanding of the role of vegetation in reducing debris flows. Forest cover mainly reduces the supply of loose materials and slows down the confluence speed [81][82][83]. Comparison of the high and moderate zones indicates that, even if the moderate zone has more favorable geomorphic conditions (higher Sa, S30, S30-40, H, Ff, HI and Mr) and precipitation conditions (Figure 8, F20), but the material conditions are less favorable than the high zone (Figure 8, Ld, Rd and Lithology), and the vegetation cover (especially forest cover) is higher than the high zone (Figure 8, Land use and NDVI), the result is lower debris flow frequency in the moderate zone.…”

Section: Feature Importance Analysismentioning

confidence: 99%

Modeling the Spatial Distribution of Debris Flows and Analysis of the Controlling Factors: A Machine Learning Approach

Zhao

Meng

et al. 2021

Remote Sensing

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Debris flows are a major geological hazard in mountainous regions. For improving mitigation, it is important to study the spatial distribution and factors controlling debris flows. In the Bailong River Basin, central China, landslides and debris flows are very well developed due to the large differences in terrain, the complex geological environment, and concentrated rainfall. For analysis, 52 influencing factors, statistical, machine learning, remote sensing and GIS methods were used to analyze the spatial distribution and controlling factors of 652 debris flow catchments with different frequencies. The spatial distribution of these catchments was divided into three zones according to their differences in debris flow frequencies. A comprehensive analysis of the relationship between various factors and debris flows was made. Through parameter optimization and feature selection, the Extra Trees classifier performed the best, with an accuracy of 95.6%. The results show that lithology was the most important factor controlling debris flows in the study area (with a contribution of 26%), followed by landslide density and factors affecting slope stability (road density, fault density and peak ground acceleration, with a total contribution of 30%). The average annual frequency of daily rainfall > 20 mm was the most important triggering factor (with a contribution of 7%). Forest area and vegetation cover were also important controlling factors (with a total contribution of 9%), and they should be regarded as an important component of debris flow mitigation measures. The results are helpful to improve the understanding of factors influencing debris flows and provide a reference for the formulation of mitigation measures.

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Assessing the soil moisture effects of planted vegetation on slope stability in shallow landslide-prone areas

Cited by 33 publications

References 58 publications

Vegetation Types Can Affect Soil Organic Carbon and δ13C by Influencing Plant Inputs in Topsoil and Microbial Residue Carbon Composition in Subsoil

Vegetation Types Can Affect Soil Organic Carbon and δ13C by Influencing Plant Inputs in Topsoil and Microbial Residue Carbon Composition in Subsoil

Analysis of the Influence of Forests on Landslides in the Bijie Area of Guizhou

Modeling the Spatial Distribution of Debris Flows and Analysis of the Controlling Factors: A Machine Learning Approach

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