Characteristics of Soil Saturated Hydraulic Conductivity and Its Influencing Factors at Different Landscape Positions in a Small Peak-Cluster Depression Watershed of Karst Region
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1.Key Laboratory for Theory and Technology of Environmental Pollution Control in Guangxi,Guilin University of Technology;2.Key Laboratory of Agro-ecological Processes in Subtropical Region,Institute of Subtropical Agriculture,Chinese Academy of Sciences

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National Key Research and Development Program of China (2022YFF1300700),National Natural Science Foundation of China (41977014), and Guangxi Natural Science Foundation (2023GXNSFAA026400)

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    Abstract:

    [Objective] Peak-cluster depression is one of the important karst landform types. Exploring the influence of different landscape positions on soil saturated hydraulic conductivity (Ks) can provide a reference for further understanding of the hydrological processes in this area. [Methods] Ks and the corresponding soil physical and chemical properties of different soil depths in slope and depression were measured. By measuring Ks and soil physical and chemical properties of different soil depths in slope and depression, the distribution characteristics of Ks and the corresponding influencing factors were studied according to variance analysis, regression analysis and path analysis. [Results] Landscape position and soil depth had significant influence on Ks distribution (p<0.05). The influence of landscape position was mainly identified at 0—10 and 20—30 cm soil depths, and the influence of soil depth was primarily occurred in the slope. The effect of land use on Ks was not significant (p>0.05). The influence of landscape position on soil particle composition and total phosphorus was not obvious (p>0.05), but organic carbon, total nitrogen and bulk density changed significantly with landscape position (p<0.05). Ks of slope location was significantly positively correlated with silt, sand, organic carbon and total phosphorus (p<0.05), and significantly negatively correlated with clay and bulk density (p<0.05). There was a significant positive correlation between Ks of depression location and bulk density (p<0.05). Path analysis indicated that bulk density and organic carbon were the primary factors affecting Ks in both slope and depression. The regression equations of Ks in slope and depression were established based on multiple stepwise regression, and the variance explanation rates of influencing factors were 76.2% and 32.6%, respectively. [Conclusion] The results showed that the difference in geomorphic features had a major impact on the distribution of soil hydrological parameters. It can provide a scientific basis for the study of soil and water processes in small peak-cluster depression watershed of karst region.

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History
  • Received:July 17,2024
  • Revised:September 20,2024
  • Adopted:September 23,2024
  • Online: January 09,2025
  • Published:
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