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author:

Yifeng, Liu (Yifeng, Liu.) [1] | Xiaoqin, Wang (Xiaoqin, Wang.) [2] (Scholars:汪小钦) | Miaojin, Chen (Miaojin, Chen.) [3]

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EI Scopus

Abstract:

Vegetation is an important basic component of terrestrial ecosystem and one of the most sensitive factors affecting soil erosion. How to analyse the quantitative relationship between fractional vegetation cover (FVC) and soil erosion and determine the sensitive coverage of erosion is of great significance for guiding government departments to implement soil and water conservation policies. In this paper, through the variable-controlling mothed, the forest land, grassland and bare land in Changting County, a typical red soil region in southern China, were used as experimental areas to study the sensitivity of FVC change to soil erosion. The soil erosion amount was calculated by RUSLE model, and soil loss rate (rsl) were used to characterize soil erosion. The results show that when FVC changes from 0 to 0.8, the fitting curves rsl are in accordance with the logistic model distributions, with a high coefficient of determination R2, and the sensitivity of rsl is less sensitive in the range of 0∼0.05, it is most sensitive when FVC reaches a certain level, and there is basically no sensitivity when it reaches 0.7 or above; the fitting curves of rsl at different slope levels are similar to their overall distribution, which are consistent with the logistic models, and R2 is above 0.99, the curves of rsl at each slope level are different in the same FVC interval, for areas with poor vegetation coverage (0∼0.2) and high slope (>25°), the curve is less sensitive to terrain; rsl generally has higher sensitivity in the range of 0.2∼0.6 coverage; in areas above 0.6, the sensitivity decreases to zero. © Published under licence by IOP Publishing Ltd.

Keyword:

Curve fitting Erosion Sensitivity analysis Soil conservation Soils Vegetation Water conservation

Community:

  • [ 1 ] [Yifeng, Liu]Key Laboratory of Spatial Data Mining and Information Sharing, Ministry of Education, National and Local Joint Engineering Research Centre of Satellite Geospatial Information Technology, Fuzhou University, Academy of Digital China (Fujian), Fuzhou; 350108, China
  • [ 2 ] [Xiaoqin, Wang]Key Laboratory of Spatial Data Mining and Information Sharing, Ministry of Education, National and Local Joint Engineering Research Centre of Satellite Geospatial Information Technology, Fuzhou University, Academy of Digital China (Fujian), Fuzhou; 350108, China
  • [ 3 ] [Miaojin, Chen]Key Laboratory of Spatial Data Mining and Information Sharing, Ministry of Education, National and Local Joint Engineering Research Centre of Satellite Geospatial Information Technology, Fuzhou University, Academy of Digital China (Fujian), Fuzhou; 350108, China

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ISSN: 1755-1307

Year: 2020

Issue: 1

Volume: 502

Language: English

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ESI Highly Cited Papers on the List: 0 Unfold All

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30 Days PV: 0

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