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Vegetation Coverage Dynamics and Its Driving Factors in Inner Mongolia Based on FVC Information Entropy

  • Jin WANG ,
  • Qingwu YAN ,
  • Xueling TAN ,
  • Yajing ZOU
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  • College of Environment Science and Spatial Informatics,China University of Mining and Technology,Jiang Su,Xu Zhou 221116,China

Received date: 2019-02-27

  Revised date: 2019-05-24

  Online published: 2020-10-20

Abstract

In order to explore the temporal and spatial evolution of vegetation coverage in Inner Mongolia,based on the MOD13Q1 data from 2005 to 2018,and uses Fractional Vegetation Coverage(FVC) as the main indicator to analyze the change of vegetation coverage.Using information entropy,FVC index and other methods analyze the intensity and trend of vegetation coverage in Inner Mongolia.By using GIS spatial analysis method,the influence of river,precipitation and topography on vegetation coverage is analyzed.The results show that:(1) From the time point of view,between 2005 and 2015,the intensity of vegetation coverage in Inner Mongolia is relatively stable,and the trend of change shows a slow increase trend.(2) From the perspective of space,in 2005—2018,the degree of vegetation degradation in Inner Mongolia is high in the east and low in the west,and there is obvious longitude and zonal change that the vegetation coverage from east to west is getting lower and lower.(3) Precipitation,mining areas,rivers and topography are all influencing factors of vegetation coverage change.In areas with abundant rainfall,vegetation coverage is often high;vegetation coverage in mining areas is lower than non-mine areas;river development provides good water conditions for vegetation growth.The vegetation coverage is higher in the area near the river;the different terrain has a significant impact on the vegetation coverage.The low-gradient and low-altitude areas are more suitable for the growth of vegetation than the steeper and higher elevation areas.

Cite this article

Jin WANG , Qingwu YAN , Xueling TAN , Yajing ZOU . Vegetation Coverage Dynamics and Its Driving Factors in Inner Mongolia Based on FVC Information Entropy[J]. Forest and Grassland Resources Research, 2019 , 0(4) : 159 -167 . DOI: 10.13466/j.cnki.lyzygl.2019.04.023

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