长江科学院院报 ›› 2020, Vol. 37 ›› Issue (7): 61-67.DOI: 10.11988/ckyyb.20190279

• 水土保持与生态建设 • 上一篇    下一篇

基于LMDI模型的三江源区植被对土壤侵蚀变化影响的定量分析

贺倩, 戴晓爱   

  1. 成都理工大学 地球科学学院,成都 610059
  • 收稿日期:2019-03-18 出版日期:2020-07-01 发布日期:2020-08-06
  • 作者简介:贺 倩(1996-),女,山西吕梁人,本科在读,主要从事地理信息科学研究。E-mail:18215671290@163.com
  • 基金资助:
    2018年国家级大学生创新创业训练计划项目(201810616018);成都理工大学2018年度大学生课外科技立项项目(2018KJY0108)

Quantitative Analysis of the Effects of Vegetation on Soil Erosion in the Three-River Headwaters Region Using Logarithmic Mean Divisia Index Model

HE Qian, DAI Xiao-ai   

  1. College of Earth Science, Chengdu University of Technology, Chengdu 610059, China
  • Received:2019-03-18 Online:2020-07-01 Published:2020-08-06

摘要: 为了定量评价植被变化对土壤侵蚀量的影响,分别利用像元统计计算及RUSLE模型探讨了2000—2005年、2015—2010年、2010—2015年3个时间段的植被覆盖度及土壤侵蚀模数变化,并引入LMDI因子分解模型从像元尺度定量分析植被对土壤侵蚀模数变化的贡献值。结果表明:三江源地区的植被覆盖度整体呈现出增加的变化趋势,但不同时间段内的变化特点具有差异性;整体上土壤侵蚀模数在不断降低,且各时间段内侵蚀模数变化与植被覆盖度变化的空间分布特点不完全相同;植被对土壤侵蚀变化整体上具有积极作用,贡献值范围集中在-100~100 t/(hm2·a),贡献值的空间分布特点与植被覆盖度的变化特点一致;LMDI模型是一种能够较好地从像元尺度定量分析植被对土壤侵蚀模数变化的方法,可为水土流失治理提供新的思路。研究结果显示三江源地区的生态保护工程已取得一定效益,应继续加强环境保护工程。

关键词: 土壤侵蚀, 植被, LMDI, RUSLE, 定量分析, 三江源地区

Abstract: In the purpose of quantitatively evaluating the influence of vegetation change on soil erosion modulus, we conducted pixel statistical calculation and adopted the RUSLE model to explore the changes of vegetation coverage and soil erosion modulus in three periods from 2000 to 2015. Moreover, we employed the logarithmic mean Divisia index (LMDI) decomposition model was used to quantitatively analyze the contribution of vegetation to the changes of soil erosion modulus from the pixel scale. Results showed that the vegetation coverage in the Three-River Headwaters Region displayed an overall increasing trend, yet still with some differences in different periods. In general, the soil erosion modulus had been decreasing, and the spatial distribution characteristics between the changes of erosion modulus and the changes of vegetation coverage in each period were not identical, mainly because soil erosion change was caused by multiple factors. Vegetation had a positive effect on changes of soil erosion, and the contribution values ranged between -100 t·hm-2·a-1 and 100 t·hm-2·a-1. The spatial distribution characteristics of the contribution values were consistent with the changes of vegetation coverage. The LMDI model is a good method to quantitatively analyze the effects of vegetation on changes of soil erosion modulus from the pixel scale and provides new ideas for soil erosion management. The ecological conservation and restoration project in the Three-River Headwaters Nature Reserve has achieved benefits, and environmental projects should be strengthened.

Key words: soil erosion, vegetation, LMDI, RUSLE, quantitative analysis, Three-River headwater region

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