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Initiation conditions of shallow landslides in two man-made forests and back estimation of the possible rainfall threshold

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Abstract

Rainfall-induced shallow landslides and debris flows are one of the most common erosion process and primary channel initiation mechanisms in many steep landscapes. Their initiation conditions are physically controlled by the soil properties and topographically influenced by the competition between area- (A) and slope-dependent (S) sediment transport process. In this work, the A-S relationship of landslides in two forests was compared with respect to the physical properties of soil and plant roots. The results reveal that landslides in the Pinus tabuleaformis forest commonly have larger surface- and contributing area, deeper failure plane and gentler slope gradient than those in the Larix Kaemphferi forest. The saturated hydraulic conductivity in the Pinus tabuleaformis forest is higher and strongly correlates to plant root biomass. The effective cohesion and inner frictional angle of soil mass in the two forests are similar. Faster saturated hydraulic conductivity may lead to the higher upslope contributing area of landslides in the the Pinus tabuleaformis forest. A combination of finite-slope model and precipitation interception model reveals that landslides in the Pinus tabuleaformis forest require higher rainfall amount that those in the Larix Kaemphferi forest. Last but not least, this work provides a clue that strong root network and high saturated hydraulic conductivity may promote the A-S condition.

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Funding

This study was supported by the Second Tibetan Plateau Scientific Expedition and Research Program (Grant No. 2019QZKK0902), the Fundamental Research Funds for the Central Universities (Grant No. 2018BLCB03), and the National Natural Science Foundation of China (No. 41702369).

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Correspondence to Chao Ma.

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The authors declare no competing interests.

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Dai, Z., Ma, C., Miao, L. et al. Initiation conditions of shallow landslides in two man-made forests and back estimation of the possible rainfall threshold. Landslides 19, 1031–1044 (2022). https://doi.org/10.1007/s10346-021-01823-1

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  • DOI: https://doi.org/10.1007/s10346-021-01823-1

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