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Science, Technology, Engineering, Management and Medicine
The Impact of Land Use and Vegetation Cover Changes on Soil Erosion in the Southwest Karst Region
DOI: https://doi.org/10.62517/jlsa.202507104
Author(s)
Qiao Liao1,2, Yanhong Fan3,*, Yan Yan1,2,*
Affiliation(s)
1Key Laboratory of Environment Change and Resources Use in Beibu Gulf, Nanning Normal University, Ministry of Education, Nanning, Guangxi, China 2Guangxi Key Laboratory of Earth Surface Process and Intelligent Simulation, Nanning, Guangxi, China 3Guangxi University of Finance and Economics, Nanning, Guangxi, China *Corresponding Author.
Abstract
This study investigates the impact of land use and vegetation cover changes on soil erosion in the Southwest Karst region from 2000 to 2020. The InVEST (Integrated Valuation of Ecosystem Services and Trade-offs) model was employed to estimate soil erosion, incorporating analyses of land use transition matrices and fractional vegetation cover (FVC) data. The findings reveal that severe erosion was the predominant erosion intensity; however, both its relative proportion and absolute area exhibited a declining trend. The proportion of severely eroded areas decreased from 92.14% in 2000 to 58.96% in 2020. Regarding land use changes, the expansion of forest and water bodies contributed to soil erosion mitigation, whereas the reduction in grassland and the increase in built-up areas potentially exacerbated soil erosion. Notably, an increase in vegetation cover significantly suppressed soil erosion, particularly within moderate slope ranges (8°-15°), where a 10% increase in vegetation cover reduced soil erosion rates by 18%-42%. Moreover, the study highlights that topographic gradients play a critical role in modulating the soil conservation effect of vegetation cover, with the regulating effect intensifying in a stepwise manner as slope increases. These findings provide a scientific basis for soil erosion control and ecological restoration in the Southwest Karst region. It is recommended that differentiated ecological restoration strategies be implemented across varying slope ranges to effectively mitigate soil erosion.
Keywords
InVEST Model; Land Use Change; Soil Erosion; Southwest Karst; Vegetation Cover
References
[1] Wang S J. Deduction of Karst Rocky Desertification Concept and Exploration of Its Scientific Connotation. Chinese Journal of Speleology, 2002, (02): 31-35. [2] Ministry of Water Resources of the People's Republic of China. China Soil and Water Conservation Bulletin. 2020. [3] He M L, Li R, Wu P P, et al. Impact of Exposed Rock on Soil Erosion and Hydrodynamic Characteristics of Karst Slope Land. Journal of Soil and Water Conservation, 2024, 38(04): 103-13. [4] Zhu B, Liu D N. Experience, Problems and Strategies for Comprehensive Management of Rocky Desertification in Karst Areas. Forestry Economics, 2015, 37(05): 76-81. [5] Yin Q Y, Wang Y, Ren Y. Analysis of Spatiotemporal Changes in Land Use in Karst Areas of Southwest Guangxi from 2009 to 2020. Journal of Anhui Agricultural Science, 2023, 51(21): 60-4. [6] Chen Q W, Xiong K N, Lan A J. Evaluation of Soil Erosion Risk in Guizhou Province Based on GIS Technology. Journal of Yangtze River Scientific Research Institute, 2020, 37(12): 47-52+66. [7] He Y, Sheng M Y, Wang K, et al. Impact of Land Use Change on Soil Aggregate Composition, Stability and C, N, P Stoichiometric Characteristics in Southwest Karst. Environmental Science, 2022, 43(07): 3752-62. [8] Zhang X Y, Peng L, Zhang H J, et al. Identification of Abnormal Vegetation Areas and Driving Factors in Southwest Karst Region. Journal of Guizhou Normal University (Natural Science Edition), 2024, 42(05): 66-76. [9] Jing J L, Deng Q F, He C X, et al. Spatiotemporal Variation of NDVI and Its Climate Drivers in Southwest Karst Region from 1999 to 2019. Research of Soil and Water Conservation, 2023, 30(03): 232-239. [10] Yang C C. Research Progress on Soil Erosion in Karst Areas. China Soil and Water Conservation, 2012, (03): 15-7+34. [11] Yao Y F, He W. Research Progress on Vegetation Quantitative Remote Sensing in Southwest Karst Region. Guangxi Sciences, 2022, 29(05): 824-838. [12] Jiang H, Song L, Li Y, et al. Monitoring the Reduced Resilience of Forests in Southwest China Using Long-Term Remote Sensing Data. Remote Sensing, 2022, 14(1): 32. [13] Yi X S, Dai Q H, Yan Y J, et al. Research Progress on Ecological Environmental Effects of Cultivated Land Abandonment in Southwest Karst Region. Acta Ecologica Sinica, 2023, 43(03): 925-36. [14] Borselli L, Cassi P, Torri D. Prolegomena to sediment and flow connectivity in the landscape: A GIS and field numerical assessment. CATENA, 2008, 75(3): 268-77. [15] Chen H S, Yue Y M, Wang K L. Comprehensive Management of Rocky Desertification in Southwest Karst Region: Achievements, Problems and Countermeasures. Chinese Journal of Speleology, 2018, 37(01): 37-42. [16] Tian X L, Ni J. Principles, Approaches and Problems of Rocky Desertification Control in Southwest Karst Mountainous Areas. Journal of Arid Land Geography, 2010, 33(04): 532-9. [17] He H C, Ma B X, Jing J L, et al. Spatiotemporal Variation of Vegetation NPP and Geodetection of Natural Factors in Southwest Karst Region in the Past 20 Years. Research of Soil and Water Conservation, 2022, 29(03): 172-8+88. [18] He X J, Wang L, Ke B, et al. Research Progress on Ecological Protection and Restoration of Karst in China. Acta Ecologica Sinica, 2019. [19] Zhang X B, Wang S J, Cao J H, et al. Characteristics of Water and Soil Loss in Southwest Karst Mountainous Areas and Several Scientific Issues Related to Rocky Desertification. Chinese Journal of Speleology, 2010, 029(003): 274-279. [20] Yang J, Huang X. The 30 m annual land cover dataset and its dynamics in China from 1990 to 2019. Earth System Science Data, 2021, 13(8): 3907-3925. [21] Yang J, Dong J, Xiao X, et al. Divergent shifts in peak photosynthesis timing of temperate and alpine grasslands in China. Remote Sensing of Environment, 2019, 233: 111395. [22] Gupta S, Borrelli P, Panagos P, et al. An advanced global soil erodibility (K) assessment including the effects of saturated hydraulic conductivity. Science of The Total Environment, 2024, 908: 168249. [23] Xu X L, Zhuang D F, Jia S F, et al. Automatic Extraction Method of Chinese River Basins Based on DEM in GIS Environment. Resources and Environment in the Yangtze Basin, 2004, 13(4): 6. [24] Zhang W B. Estimation of Rainfall Erosivity from Different Types of Rainfall Data. Resource Sciences, 2003, (01): 35-41. [25] Cai C F, Ding S W, Shi Z H, et al. Study on Prediction of Soil Erosion in Small Watersheds Using USLE Model and Geographic Information System IDRISI. 2004. [26] Chen L S. Ecological Service Functions and Optimized Regulation of Karst Rocky Desertification Control; Guizhou Normal University. [27] Zhang S. Study on Land Rocky Desertification in Yuedong Karst Mountainous Area, 2007. [28] Cao J H, Jiang Z C, Yang D S, et al. Soil Allowable Loss and Control Strategies in Southwest China Karst Area. China Soil and Water Conservation, 2008, 000(012): 40-5. [29] Soil Erosion Classification and Grading Standard: [S]. Ministry of Water Resources, Department of Soil and Water Conservation, 2008. [30] Anees S A, Zhang X, Shakeel M-K, et al. Estimation of fractional vegetation cover dynamics based on satellite remote sensing in pakistan: A comprehensive study on the FVC and its drivers. Journal of King Saud University Science, 2022, 34(3).
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