Abstract
The Loess Plateau of China suffers from severe erosion, which results in a great variety of economic and ecological problems. For scientific control of soil erosion, the key questions urgently to be addressed in this paper are: (1) Which are the driving factors under diverse geomorphological types? (2) Do these driving factors operate independently or by interacting? (3) Which zones under diverse geomorphological types suffer from severe erosion and need more attention? In this paper, the RUSLE model was applied here to demonstrate the spatio-temporal variations in soil erosion from 2010 to 2017 in Yan’an City, and the Geo-detector model proved to be a useful tool to solve the questions mentioned above. The results showed that the average erosion modulus in Yan’an City decreased by 1927.36 t/km2·a from 2010 to 2017. The intensity of soil erosion in the northern Baota District, central Ganquan County, Luochuan County, Ansai County, and Zhidan County decreased to varying degrees. The effect size of driving factors affecting soil erosion varied significantly in diverse geomorphological types. The effect size of interaction between land-use types and vegetation coverage, land-use types and slope, slope and precipitation was higher than that of a single factor. High-risk zones with severe erosion were closer to cultivated land and forest land with steep slopes (>25°) in the mid-elevation hills of Yan’an City. Additionally, based on the specificity of the study area, the Geo-detector model performed better in a relatively flat region, and factors with macroscopic spatial distributions weaken its explanatory power on soil erosion on a regional scale. Based on data selection, data of different accuracy sparked the issue of “data coupling”, which led to the enormous deviation of model results in mid-elevation plains. Results from our analysis provide insights for a more ecologically sound development of Yan’an City and provide references for the scientific use of the Geo-detector model.
Highlights
Healthy soil is fundamental to life on Earth and the food system, as a medium that can provide human beings and the whole ecological system with basic materials, such as organic matters [1,2]
To effectively reduce soil erosion, the following key and difficult points need to be answered: (1) Among these driving factors, which are the dominant factors, and what is the influential degree of each factor? (2) Do these influence factors operate independently or by interacting? (3) How do we identify the areas at higher risk of soil erosion?
This paper summarized the interactions with the five highest effect degrees (Table 6)
Summary
Healthy soil is fundamental to life on Earth and the food system, as a medium that can provide human beings and the whole ecological system with basic materials, such as organic matters [1,2]. Nations (FAO), the majority of the world’s soil resources are facing many challenges and threats [3]. The analysis results of soil sustainability have demonstrated that soil erosion is reported to be increasing, causing the main threat to healthy soil conditions across the globe [1,4,5]. Soil erosion is a complex process under the influence of multiple factors and it is often the result of multiple driving factors and their interactions [6]. Human activities in pursuit of rapid economic development lead to the over-exploitation of the soil environment and to an imbalance in the human–
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