Environmental Science and Pollution Research

, Volume 26, Issue 28, pp 28977–28992 | Cite as

Spatiotemporal variation and influencing factors of vegetation cover in the ecologically fragile areas of China from 2000 to 2015: a case study in Shaanxi Province

  • Dingrao Feng
  • Jinman WangEmail author
  • Meichen Fu
  • Guangchao Liu
  • Min Zhang
  • Rongbin Tang
Research Article


China’s Loess Plateau region has a weak ecological environment, and the government has invested a considerable amount of money to repair the ecological environment. Vegetation plays an important role in the ecological environment. The Sen slope analysis and the Mann-Kendall trend test were used to analyze the trend and significance of vegetation coverage from 2000 to 2015. The vegetation coverage was analyzed to investigate the influence of land use types and conversion. The Pearson Correlation Test and qualitative analysis were utilized at the pixel and regional scales to investigate the influence of meteorological factors and topographical factors. The fluctuation of vegetation in Shaanxi was analyzed from 2000 to 2015. The impact of anthropogenic activities was investigated using residual trend analysis. Hurst exponent and H/S analysis were applied to investigate the potential future vegetation coverage trend. The vegetation coverage in Shaanxi Province improved from 2000 to 2015. In unchanged land use types, all types showed significant improvements expect for other construction land. In changed land use types, most of the land use types converted into urban land showed degradation. All the land use types converted into dry land, forest, and unused land showed improvements. Ecological protection has achieved great results. Precipitation and temperature partly affect vegetation coverage in Shaanxi. Gradients and elevation affected the distribution of vegetation coverage and human activities influenced land use type and the ecological environment. In the future, potential degradation risks still exist in the parts of Shaanxi Province.


Vegetation coverage Spatiotemporal analysis Land use type Residual trends analysis Hurst index 


Funding information

This research was financially supported by the National Key Research and Development Program of China (2017YFF0206804) and the Fundamental Research Funds for the Central Universities of China (2652018045).


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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.School of Land Science and TechnologyChina University of GeosciencesBeijingPeople’s Republic of China
  2. 2.Key Laboratory of Land Consolidation and RehabilitationMinistry of Natural ResourcesBeijingPeople’s Republic of China
  3. 3.School of Remote Sensing and Information EngineeringWuhan UniversityWuhanPeople’s Republic of China

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