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Dynamic Evolution and Quantitative Attribution of Soil Erosion Based on Slope Units: A Case Study of a Karst Plateau-Gorge Area in SW China

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  • Chuhong Shen

    (School of Karst Science, Guizhou Normal University, Guiyang 550001, China
    State Engineering Technology Institute for Karst Desertification Control, Guiyang 550001, China)

  • Kangning Xiong

    (School of Karst Science, Guizhou Normal University, Guiyang 550001, China
    State Engineering Technology Institute for Karst Desertification Control, Guiyang 550001, China)

  • Tian Shu

    (School of Karst Science, Guizhou Normal University, Guiyang 550001, China
    State Engineering Technology Institute for Karst Desertification Control, Guiyang 550001, China
    Institute of Science and Technology Information, Guizhou Academy of Agriculture Sciences, Guiyang 550006, China)

Abstract

Exploring the dynamics of soil erosion and identifying its driving mechanisms is key to understanding soil erosion processes, particularly in karst areas. In this study, the RUSLE model, optimized on the basis of rocky desertification factors, was used to estimate soil erosion in a karst plateau gorge area in SW China. The spatial and temporal dynamics of soil erosion in the region over the past 20 years were analyzed on the basis of slope units, while the relationship between soil erosion and elevation, slope, fractional vegetation cover (FVC), karst rocky desertification (KRD), rainfall, and land use cover/change (LUCC) was identified quantitatively by the geographical detector on the basis of spatial heterogeneity. The results showed that: (1) The no erosion area decreased from 2000 to 2020, with the highest proportion of light to medium erosion and an increasing trend of soil erosion. (2) Soil erosion conversion mainly occurred between no erosion, slight erosion, and light erosion. (3) The hotspots of erosion occurred in high slope–low elevation and high slope–high elevation units, while the coldspots of erosion occurred in low slope–low elevation units. (4) Soil erosion was positively correlated with FVC and slope, and negatively correlated with KRD. (5) The dominant factor of soil erosion changed from KRD-slope to LUCC-slope and finally to elevation-slope, while the q value of rainfall-elevation had the most significant increase throughout the study period. This study will help to advance the goal of sustainable development of soil and water conservation in karst areas.

Suggested Citation

  • Chuhong Shen & Kangning Xiong & Tian Shu, 2022. "Dynamic Evolution and Quantitative Attribution of Soil Erosion Based on Slope Units: A Case Study of a Karst Plateau-Gorge Area in SW China," Land, MDPI, vol. 11(8), pages 1-18, July.
    • Handle: RePEc:gam:jlands:v:11:y:2022:i:8:p:1134-:d:870340
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    References listed on IDEAS

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    1. Ning Jia & Yasuhiro Mitani & Mowen Xie & Jianxing Tong & Zhaohui Yang, 2015. "GIS deterministic model-based 3D large-scale artificial slope stability analysis along a highway using a new slope unit division method," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 76(2), pages 873-890, March.
    2. Rahman, Md. Rejaur & Shi, Z.H. & Chongfa, Cai, 2009. "Soil erosion hazard evaluation—An integrated use of remote sensing, GIS and statistical approaches with biophysical parameters towards management strategies," Ecological Modelling, Elsevier, vol. 220(13), pages 1724-1734.
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