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Solid Earth An interactive open-access journal of the European Geosciences Union
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Volume 9, issue 6
Solid Earth, 9, 1507-1516, 2018
https://doi.org/10.5194/se-9-1507-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Solid Earth, 9, 1507-1516, 2018
https://doi.org/10.5194/se-9-1507-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 20 Dec 2018

Research article | 20 Dec 2018

Soil erodibility and its influencing factors on the Loess Plateau of China: a case study in the Ansai watershed

Wenwu Zhao1,2, Hui Wei1,2, Lizhi Jia1,2, Stefani Daryanto1,2, Xiao Zhang1,2, and Yanxu Liu1,2 Wenwu Zhao et al.
  • 1State Key Laboratory of Earth Surface Processes and Resources Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
  • 2Institute of Land Surface System and Sustainable Development, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China

Abstract. The objectives of this work were to identify the best possible method to estimate soil erodibility (K) and understand the influencing factors of soil erodibility. In this study, 151 soil samples were collected during soil surveys in the Ansai watershed of the Loess Plateau of China. The K values were estimated by five methods: erosion-productivity impact model (EPIC), nomograph equation (NOMO), modified nomograph equation (M-NOMO), Torri model and Shirazi model. The main conclusions of this paper are (1) K values in the Ansai watershed ranged between 0.009 and 0.092t ⋅ hm2 ⋅ h/(MJ ⋅ mm ⋅ hm2), and the maximum values were 1.9–7.3 times larger than the corresponding minimum values, and the Shirazi and Torri models were considered the optimal models for the Ansai watershed. (2) Different land use types had different levels of importance; the principal components (PCs) accounted for 100% (native grassland), 48.88% (sea buckthorn), 62.05% (Caragana korshinskii), and 53.61% (pasture grassland) of the variance in soil erodibility. (3) The correlations between soil erodibility and the selected environmental variables differed among different vegetation types. For native grasslands, soil erodibility had significant correlations with terrain factors. For the most artificially managed vegetation types (e.g., apple orchards) and artificially restored vegetation types (e.g., sea buckthorn), soil erodibility had significant correlations with the growing conditions of vegetation. Soil erodibility had indirect relationships with both environmental factors (e.g., elevation and slope) and human activities, which potentially altered soil erodibility.

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Soil erodibility (K) is one of the key factors of soil erosion. Selecting the optimal estimation method of soil erodibility is critical to estimate the amount of soil erosion, and provide the base for sustainable land management. This research took the Loess Plateau of China as a case study, estimated soil erodibility factor with different methods, selected the best texture-based method to estimate K, and aimed to understand the indirect environmental factors of soil erodibility.
Soil erodibility (K) is one of the key factors of soil erosion. Selecting the optimal estimation...
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