Authors: Huan Wang*,
Topics: Mountain Environments, Land Use and Land Cover Change, Applied Geography
Keywords: karst soil erosion, quantitative attribution, modified RUSLE, geographical detector, temporal dynamics,China
Session Type: Poster
Start / End Time: 9:55 AM / 11:35 AM
Room: Lincoln 2, Marriott, Exhibition Level
Presentation File: No File Uploaded
In karst areas, soil erosion is a significant problem, seriously impeding sustainable socioeconomic development. A thorough understanding and quantitative identification of the influencing factors are essential for soil erosion protection and rocky desertification management. This study identifies the dominant factors (and interactions) influencing soil erosion and its spatiotemporal variability in a karst basin, the Sancha River Basin, China. The geographical detector method was used to conduct the quantitative attribution analysis, based on the modified universal soil loss equation model for karst environments. The results revealed that karst soil erosion exhibited a notable decreasing trend over the past 36 years (p < 0.01), decreasing from 16.70 t ha−1 a−1 in 1980 to 12.22 t ha−1 a−1 in 2015. The geographical detector results indicated significant differences in the strength of the association between influencing factors (or factor combinations) and karst soil erosion. Land use type was the dominant factor, followed by slope; a combination of land use type and slope was the dominant interaction factor, explaining at least 74% of the karst soil erosion distribution. Land use change dominated karst soil erosion dynamics in the 1980s and 1990s, and rainfall variability dominated in the 2000s. In addition, the strength of the association differed substantially among diverse geomorphological types due to differences in the inner characteristics of each. These findings suggest that the characteristics of different geomorphological types should be considered for effective management and prevention of soil erosion.