Slope‐Scale Spatial Variability of Saturated Hydraulic Conductivity and Its Drivers in the Alpine Meadows of the Qinghai‐Tibet Plateau

ABSTRACT The spatial distribution of saturated hydraulic conductivity (Ks) is controlled by soil processes at multiple scales, and this spatial variability is crucial to simulating soil moisture movement. Nevertheless, few studies focus on the spatial variability of Ks and how changes through alpine meadow degradation or the specific scales at which the controlling factors function. This study therefore examines the scale‐dependent relationships between Ks and several primary driving factors. Soil samples were collected at an interval of 3 m along three transects on a slope in the Qinghai‐Tibet Plateau (QTP) and Ks, bulk density (BD), above‐ground biomass (AGB), soil organic carbon content (SOC), sand content (SAND), silt content (SILT) and clay content (CLAY) were analysed. Ks showed strong spatial dependency and irregular distribution due to alpine meadow degradation. Pearson correlation analysis revealed a significant correlation between BD, AGB and Ks ( p < 0.001). Furthermore, cross‐semivariograms showed that Ks exhibited strong spatial correlation with AGB and SAND. Using the state space method, we determined that BD, SOC, AGB and CLAY are the main factors that control the spatial distribution of Ks on the slope. A two‐factor state‐space equation based on CLAY and BD provides a good representation of Ks, enabling the prediction and estimation of Ks distribution characteristics. These findings enhance our understanding of the crucial parameters that govern hydrological processes at the slope‐scale of alpine grassland on the QTP, thereby helping to elucidate permafrost‐related hydrological processes related to climate change.

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Publication Details

Journal
Hydrological Processes
Published
2025-09-01
DOI
https://doi.org/10.1002/hyp.70254
Citations
1
Primary Topic
Landslides and related hazards
Type
article
Field-Weighted Citation Impact
2.42

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article

Slope‐Scale Spatial Variability of Saturated Hydraulic Conductivity and Its Drivers in the Alpine Meadows of the Qinghai‐Tibet Plateau

Genxu Wang, Shuang Wang, Tao Zhang, Tianxu Mao et al.
1 citations
Hydrological Processes
Landslides and related hazards
2.42
article

Slope‐Scale Spatial Variability of Saturated Hydraulic Conductivity and Its Drivers in the Alpine Meadows of the Qinghai‐Tibet Plateau

Genxu Wang, Shuang Wang, Tao Zhang, Tianxu Mao, Dan Tu, Yue Sun, Zhengui Han
article en
1 citations

Abstract

ABSTRACT The spatial distribution of saturated hydraulic conductivity (Ks) is controlled by soil processes at multiple scales, and this spatial variability is crucial to simulating soil moisture movement. Nevertheless, few studies focus on the spatial variability of Ks and how changes through alpine meadow degradation or the specific scales at which the controlling factors function. This study therefore examines the scale‐dependent relationships between Ks and several primary driving factors. Soil samples were collected at an interval of 3 m along three transects on a slope in the Qinghai‐Tibet Plateau (QTP) and Ks, bulk density (BD), above‐ground biomass (AGB), soil organic carbon content (SOC), sand content (SAND), silt content (SILT) and clay content (CLAY) were analysed. Ks showed strong spatial dependency and irregular distribution due to alpine meadow degradation. Pearson correlation analysis revealed a significant correlation between BD, AGB and Ks ( p < 0.001). Furthermore, cross‐semivariograms showed that Ks exhibited strong spatial correlation with AGB and SAND. Using the state space method, we determined that BD, SOC, AGB and CLAY are the main factors that control the spatial distribution of Ks on the slope. A two‐factor state‐space equation based on CLAY and BD provides a good representation of Ks, enabling the prediction and estimation of Ks distribution characteristics. These findings enhance our understanding of the crucial parameters that govern hydrological processes at the slope‐scale of alpine grassland on the QTP, thereby helping to elucidate permafrost‐related hydrological processes related to climate change.

Hydrological ProcessesVol. 39(9)
Guizhou University (CN), Sichuan University (CN), Rural Development Institute (CN), State Key Laboratory of Hydraulics and Mountain River Engineering
National Natural Science Foundation of China
Openalex Percentile: Top 9%
Landslides and related hazards
2.42
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