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Risk Assessment and Prediction of Soil Water Erosion on the Middle Northern Slope of Tianshan Mountain

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  • Shixian Xu

    (Xinjiang Key Laboratory of Soil and Plant Ecological Processes, Xinjiang Agricultural University, Urumqi 830052, China
    State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China)

  • Xinjun Wang

    (Xinjiang Key Laboratory of Soil and Plant Ecological Processes, Xinjiang Agricultural University, Urumqi 830052, China)

  • Xiaofei Ma

    (State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China)

  • Shenghan Gao

    (Xinjiang Key Laboratory of Soil and Plant Ecological Processes, Xinjiang Agricultural University, Urumqi 830052, China)

Abstract

Soil erosion is a significant form of land degradation worldwide, leading to ecological degradation and a decline in agricultural productivity. The middle section of the northern slopes of Tianshan Mountain (MNSTM) in northwestern China is a high-priority area for soil water erosion prevention, and soil water erosion is a serious problem in the region. Despite this, there is a lack of research on soil water erosion in the MNSTM, and the trends and priority risk areas of soil water erosion remain unclear. Therefore, this study used the Revised Universal Soil Loss Equation (RUSLE) to quantitatively assess soil water erosion from 2001–2020 and predict it from 2030–2050. The study also used the Geodetector method to analyse the influencing factors of soil water erosion in the region. The results show that soil water erosion in the MNSTM has a fluctuating upward trend, increasing at a rate of 0.26 t hm −2 y −1 over the period 2001–2020 and reaching a maximum value of 39.08 t hm −2 in 2020. However, soil water erosion in the region is mitigated under both RCP2.6 and RCP4.5 climate scenarios. Vegetation was found to have the highest degree of influence on soil erosion, indicating that its protection and management should be prioritised for future soil and water conservation efforts. The eastern part of the MNSTM was identified as the most vulnerable area to soil and water erosion, and in the context of global climate change, it is crucial to enhance the ecological restoration of the MNSTM to reduce the risk of soil water erosion. These findings can serve as valuable information for decision makers to develop effective strategies to prevent soil erosion and improve the ecological environment in the MNSTM.

Suggested Citation

  • Shixian Xu & Xinjun Wang & Xiaofei Ma & Shenghan Gao, 2023. "Risk Assessment and Prediction of Soil Water Erosion on the Middle Northern Slope of Tianshan Mountain," Sustainability, MDPI, vol. 15(6), pages 1-14, March.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:6:p:4826-:d:1091678
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    References listed on IDEAS

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    1. V. Prasannakumar & H. Vijith & N. Geetha & R. Shiny, 2011. "Regional Scale Erosion Assessment of a Sub-tropical Highland Segment in the Western Ghats of Kerala, South India," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(14), pages 3715-3727, November.
    2. Yonghua Zhao & Li Liu & Shuaizhi Kang & Yong Ao & Lei Han & Chaoqun Ma, 2021. "Quantitative Analysis of Factors Influencing Spatial Distribution of Soil Erosion Based on Geo-Detector Model under Diverse Geomorphological Types," Land, MDPI, vol. 10(6), pages 1-17, June.
    3. Chao Yang & Jianrong Fan & Jiali Liu & Fubao Xu & Xiyu Zhang, 2021. "Evaluating the Dominant Controls of Water Erosion in Three Dry Valley Types Using the RUSLE and Geodetector Method," Land, MDPI, vol. 10(12), pages 1-16, November.
    4. Chiesi, M. & Maselli, F. & Moriondo, M. & Fibbi, L. & Bindi, M. & Running, S.W., 2007. "Application of BIOME-BGC to simulate Mediterranean forest processes," Ecological Modelling, Elsevier, vol. 206(1), pages 179-190.
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    Cited by:

    1. Ziqi Guo & Zhaojin Yan & Rong He & Hui Yang & Hui Ci & Ran Wang, 2024. "Impacts of Land Use Conversion on Soil Erosion in the Urban Agglomeration on the Northern Slopes of the Tianshan Mountains," Land, MDPI, vol. 13(4), pages 1-26, April.
    2. Yuan Liu & Sihai Liu & Kun Xing, 2024. "Assessment of Ecosystem Services and Exploration of Trade-Offs and Synergistic Relationships in Arid Areas: A Case Study of the Kriya River Basin in Xinjiang, China," Sustainability, MDPI, vol. 16(5), pages 1-21, March.

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