Characteristics and Drivers of Spatial and Temporal Soil Erosion in Anshun City, Karst Region

WU Wenxian; LI Yuan; LIU Ziqi

doi:10.13870/j.cnki.stbcxb.2025.01.012

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Characteristics and Drivers of Spatial and Temporal Soil Erosion in Anshun City, Karst Region

更新时间：2025-03-14

- Characteristics and Drivers of Spatial and Temporal Soil Erosion in Anshun City, Karst Region
- Vol. 39, Issue 1, Pages: 359-367(2025)
- 作者机构：
  
  1. 贵州师范大学喀斯特研究院,贵阳,500025
  2. 国家喀斯特石漠化防治工程技术研究中心,贵阳,550001
  3. 自然资源部贵州喀斯特山地国土生态与土地利用野外科学观测研究站, 贵州关岭,561301
- 作者简介：
- 基金信息：
- DOI：10.13870/j.cnki.stbcxb.2025.01.012
  CLC： S157.1
- Published：2025
- 稿件说明：
移动端阅览
WU Wenxian, LI Yuan, LIU Ziqi. Characteristics and Drivers of Spatial and Temporal Soil Erosion in Anshun City, Karst Region[J]. 2025, 39(1): 359-367.
DOI：

WU Wenxian, LI Yuan, LIU Ziqi. Characteristics and Drivers of Spatial and Temporal Soil Erosion in Anshun City, Karst Region[J]. 2025, 39(1): 359-367. DOI： 10.13870/j.cnki.stbcxb.2025.01.012.

摘要

目的探索西南喀斯特地区安顺市土壤侵蚀时空演变规律及土壤侵蚀主控因子，掌握该地区土壤侵蚀状况，有助于该地区石漠化治理和水土资源管理。方法采用优化后的RUSLE模型估算2005—2020年安顺市土壤侵蚀，同时，利用随机森林模型(RF)揭示土壤侵蚀的驱动因子，并估算驱动因子相互作用对2005—2020年安顺市土壤侵蚀的影响。结果1) 2005—2020年，安顺市低强度土壤侵蚀分布在中部、东南部和东部地区，高强度土壤侵蚀分布在北部和西南部地区。从时间上来看，安顺市土壤侵蚀整体上呈改善趋势，大部分地区土壤侵蚀等级主要由高强度向微强度侵蚀转移，但局部地区存在侵蚀加剧现象。2)石漠化对于安顺市土壤侵蚀有较大的影响，石漠化和土壤侵蚀变化趋势一致。土壤侵蚀随着石漠化强度增加呈先增加后减少趋势。3)安顺市发生土壤侵蚀最主要的土地利用类型为林地、耕地和草地，总体来看，土壤侵蚀速率依次为林地＜草地＜耕地，耕地的水土流失风险较大。4)对土壤侵蚀驱动因子分析显示，植被覆盖与管理因子、水土保持措施因子和石漠化强度为主要驱动因子。驱动因子交互作用结果表明，植被覆盖与管理因子与水土保持措施因子交互作用为主导因素。结论2005—2020年安顺市土壤侵蚀强度整体呈好转趋势，但部分地区存在侵蚀加剧现象，高强度土壤侵蚀主要位于北部和西南部的人类活动较密集地区。植被覆盖、土地利用和石漠化强度是土壤侵蚀主要影响因素，而石漠化治理和水土保持措施能较好地增加植被覆盖，改善安顺市水土流失状况。

Abstract

ObjectiveTo explore the spatial and temporal evolution of soil erosion in Anshun City

southwest karst region

as well as the main controlling factors of soil erosion

and to master the soil erosion situation in the region

in order to help the management of rocky desertification and soil and water resources management in the region.MethodsThe optimised RUSLE model was used to estimate soil erosion in Anshun City from 2005 to 2020

while the Random Forest Model (RF) was used to reveal the driving factors of soil erosion

and to estimate the effects of the interactions between the driving factors on soil erosion in Anshun City from 2005 to 2020.Results1) From 2005 to 2020

soil erosion in Anshun City generally showed that low intensity soil erosion was distributed in the central

southeastern and eastern regions

while high intensity soil erosion was distributed in the northern and southwestern regions. In terms of time

soil erosion in Anshun City as a whole showed a trend of improvement

soil erosion grade in most of the areas mainly transferred from high to micro intensity erosion

but the erosion exacerbated in some areas. 2) Rocky desertification had a greater impact on soil erosion in Anshun City

and the change trend of rocky desertification was consistent with that of soil erosion. Soil erosion increased first and then decreased with the increase of rocky desertification intensity. 3) The most important land use types in Anshun City where soil erosion occured were forest land

arable land and grassland

and the overall rate of soil erosion was in the order of forest land < grassland < arable land

with cropland having a higher risk of soil and water runoff. 4) The analysis of the driving factors of soil erosion showed that that the vegetation cover and management factor

the factor of soil and water conservation measures and the intensity of rock desertification were the main driving factors. The results of the interactions between the driving factors showed that the interaction between the vegetation cover and management factors and the soil and water conservation measures were the dominant factors.ConclusionSoil erosion intensity in Anshun City showed an overall trend of improvement from 2005 to 2020

but there was an increase in erosion in some areas

with high intensity soil erosion being mainly located in the north and southwest areas with high human activity. Vegetation cover

land use and rock desertification intensity are the main influencing factors of soil erosion

while rock desertification control and soil and water conservation measures can better increase vegetation cover and improve soil erosion in Anshun City.

关键词

Keywords

references

WANG T, ZHOU W, XIAO J Y, et al. Soil organic carbon prediction using sentinel-2 data and environmental variables in a karst trough valley area of southwest China[J]. Remote Sensing, 2023, 15(8): e2118.

LIU Z K, LIU F, ZHENG G H, et al. Quantitative evaluation of soil conservation function in the Qinghai-Tibet Plateau based on RUSLE model[J]. Soils, 2024, 56(1): 173-181. 刘振坤, 刘峰, 郑光辉, 等. 基于RUSLE模型的青藏高原土壤保持功能定量评价[J]. 土壤, 2024, 56(1): 173-181.

ZHANG Z M, ZHOU Y C, WANG S J, et al. The soil organic carbon stock and its influencing factors in a mountainous karst Basin in P. R. China[J]. Carbonates and Evaporites, 2019, 34(3): 1031-1043.

ZHANG Z M, ZHOU Y C, TIAN X, et al. Study on spatial heterogeneity and reserve estimation of soil organic carbon in a small karst catchment[J]. Acta Ecologica Sinica, 2017, 37(22): 7647-7659. 张珍明, 周运超, 田潇, 等. 喀斯特小流域土壤有机碳空间异质性及储量估算方法[J]. 生态学报, 2017, 37(22): 7647-7659.

WANG S J. Concept deduction and its connotation of karst rocky desertification[J]. Carsologica Sinica, 2002, 21(2): 101-105. 王世杰. 喀斯特石漠化概念演绎及其科学内涵的探讨[J]. 中国岩溶, 2002, 21(2): 101-105.

LI C F, WANG Z C, LI Z W, et al. Research progress of soil erosion in karst areas of southwest China[J]. Carsologica Sinica, 2022, 41(6): 962-974. 李成芳, 王忠诚, 李振炜, 等. 西南喀斯特区土壤侵蚀研究进展[J]. 中国岩溶, 2022, 41(6): 962-974.

DAI Q H, YAN Y J. Research progress of karst rocky desertification and soil erosion in southwest China[J]. Journal of Soil and Water Conservation, 2018, 32(2): 1-10. 戴全厚, 严友进. 西南喀斯特石漠化与水土流失研究进展[J]. 水土保持学报, 2018, 32(2): 1-10.

MALTSEV K, YERMOLAEV O. Assessment of soil loss by water erosion in small river basins in Russia[J]. Catena, 2020, 195: e104726.

GHOSAL K, DAS BHATTACHARYA S. A review of RUSLE model[J]. Journal of the Indian Society of Remote Sensing, 2020, 48(4): 689-707.

MORAGODA N, KUMAR M, COHEN S. Representing the role of soil moisture on erosion resistance in sediment models: Challenges and opportunities[J]. Earth-Science Reviews, 2022, 229: e104032.

HE M L, ZHANG Y S, GAO J Y, et al. Synergistic evolution and interaction of soil erosion and rocky desertification in karst area[J]. Journal of Soil and Water Conservation, 2023, 37(1): 140-150. 何茂林, 张玉珊, 高家勇, 等. 喀斯特区土壤侵蚀与石漠化协同演变及交互关系[J]. 水土保持学报, 2023, 37(1): 140-150.

WISCHMEIER W H, SMITH D D. Predicting rainfall-erosion losses from cropland east of the rocky mountains: Guide for selection of practices for soil and water conservation[M]. Washington, D. C. : Agricultural Research Service, U. S. Dept of Agriculture in cooperation with Purdue Agricultural Experiment Station, 1965.

WILLIAMS J, NEARING M, NICKS A, et al. Using soil erosion models for global change studies[J]. Journal of Soil and Water Conservation, 1996, 51(5): 381-385.

LI J L, SUN R H, XIONG M Q, et al. Estimation of soil erosion based on the RUSLE model in China[J]. Acta Ecologica Sinica, 2020, 40(10): 3473-3485. 李佳蕾, 孙然好, 熊木齐, 等. 基于RUSLE模型的中国土壤水蚀时空规律研究[J]. 生态学报, 2020, 40(10): 3473-3485.

CAI C F, DING S W, SHI Z H, et al. Study of applying USLE and geographical information system IDRISI to predict soil erosion in small watershed[J]. Journal of Soil and Water Conservation, 2000, 14(2): 19-24. 蔡崇法, 丁树文, 史志华, 等. 应用USLE模型与地理信息系统IDRISI预测小流域土壤侵蚀量的研究[J]. 水土保持学报, 2000, 14(2): 19-24.

GAO G Y, FU B J, ZHANG J J, et al. Multiscale temporal variability of flow-sediment relationships during the 1950s-2014 in the Loess Plateau, China[J]. Journal of Hydrology, 2018, 563: 609-619.

ZHANG R J, ZHANG C, LU S F, et al. Study on the space-temporal evolution feature of the rocky desertification in typical karst area of eastern Yunnan[J]. Forest Resources Management, 2019(2): 99-108. 张蕊娇, 张超, 陆双飞, 等. 滇东典型岩溶地区石漠化时空演变特征研究[J]. 林业资源管理, 2019(2): 99-108.

RIAL M, MARTÍNEZ CORTIZAS A, RODRÍGUEZ-LADO L. Understanding the spatial distribution of factors controlling topsoil organic carbon content in European soils[J]. Science of the Total Environment, 2017, 609: 1411-1422.

KIM J, GRUNWALD S. Assessment of carbon stocks in the topsoil using random forest and remote sensing images[J]. Journal of Environmental Quality, 2016, 45(6): 1910-1918.

HE S S, ZHU W B, CUI Y P, et al. Study on soil erosion characteristics of Qihe watershed in Taihang Mountains based on the INVEST model[J]. Resources and Environment in the Yangtze Basin, 2019, 28(2): 426-439. 何莎莎, 朱文博, 崔耀平, 等. 基于InVEST模型的太行山淇河流域土壤侵蚀特征研究[J]. 长江流域资源与环境, 2019, 28(2): 426-439.

HUANG Z H, YU J, FANG L, et al. Research on soil erosion and influencing factors in Qingyi River Basin based on InVEST model[J]. Journal of Soil and Water Conservation, 2023, 37(5): 189-197. 黄振华, 余健, 房莉, 等. 基于InVEST模型的青弋江流域土壤侵蚀与影响因素研究[J]. 水土保持学报, 2023, 37(5): 189-197.

YANG Y P, TIAN P, SHEN C Z, et al. Vulnerability assessment of soil erosion in southwestern Hubei Province based on RUSLE model and geographic detector[J]. Journal of Soil and Water Conservation, 2024, 38(1): 91-103. 杨严攀, 田培, 沈晨竹, 等. 基于RUSLE模型和地理探测器的鄂西南土壤侵蚀脆弱性评价[J]. 水土保持学报, 2024, 38(1): 91-103.

MA Q H, ZHANG K L. Progresses and prospects of the research on soil erosion in karst area of southwest China[J]. Advances in Earth Science, 2018, 33(11): 1130-1141. 马芊红, 张科利. 西南喀斯特地区土壤侵蚀研究进展与展望[J]. 地球科学进展, 2018, 33(11): 1130-1141.

LI R, YUAN J. Influence of rocky desertification intensity of Karst areas on soil loss at a regional scale[J]. Transactions of the Chinese Society of Agricultural Engineering, 2022, 38(15): 84-92. 李瑞, 袁江. 区域尺度喀斯特区石漠化强度对土壤流失的影响[J]. 农业工程学报, 2022, 38(15): 84-92.

PAN W, WANG Q. Review on the effects of land use patterns and intensity on soil anti-erodibility[J]. Subtropical Soil and Water Conservation, 2024, 36(1): 44-46. 潘文, 王强. 土地利用方式和强度对土壤抗蚀性的影响述评[J]. 亚热带水土保持, 2024, 36(1): 44-46.

BAI X L, ZHENG H Y, WANG L X, et al. The influence of vegetation coverage on soil erosion in sandstone loess area[J]. Acta Ecologica Sinica, 2020, 40(11): 3776-3784. 白雪莲, 郑海颖, 王理想, 等. 砒砂岩黄土区植被盖度对土壤侵蚀的影响[J]. 生态学报, 2020, 40(11): 3776-3784.

CHEN M, WANG X Q, LIN J L, et al. Quantitative effects of land use and vegetation cover changes on soil erosion in Changting County in recent 30 years[J]. Journal of Soil and Water Conservation, 2023, 37(5): 168-177. 陈淼, 汪小钦, 林敬兰, 等. 土地利用和植被覆盖变化对长汀县30多年土壤侵蚀变化的定量影响[J]. 水土保持学报, 2023, 37(5): 168-177.

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