Chin J Plant Ecol ›› 2019, Vol. 43 ›› Issue (4): 331-341.DOI: 10.17521/cjpe.2018.0254

• Research Articles • Previous Articles     Next Articles

Spatio-temporal dynamics of normalized differential vegetation index and its driving factors in Xilin Gol, China

SHI Na-Na,XIAO Neng-Wen,WANG Qi,HAN Yu,GAO Xiao-Qi,FENG Jin,QUAN Zhan-Jun()   

  1. State Environmental Protection Key Laboratory of Regional Eco-process and Function Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
  • Received:2018-10-16 Revised:2019-04-15 Online:2019-04-20 Published:2019-05-30
  • Contact: QUAN Zhan-Jun
  • Supported by:
    Supported by the National Key R&D Program of China(2016YFC0501108-5);Supported by the National Key R&D Program of China(2016YFC0501101-3)


AimsQuantitative evaluation of the vegetation normalized differential vegetation index (NDVI) dynamics plays an important role in understanding of the characteristics of regional ecological environment change and realizing the harmonious and sustainable development between regional ecology and socio-economy.
MethodsThe study employed the supplementary trend analysis with MODIS-NDVI data, analyzed the spatio- temporal patterns of vegetation NDVI and the driving factors behind the changes in Xilin Gol during 2000-2015. Then, the ratio of the overlapped areas to the areas with significant NDVI changes was defined as the contribution rate.
Important findings 1) NDVI represented a slow vegetation increase trend and showed a “Northeast high and Southwest low” spatio-temporal pattern. The NDVI significantly increased area was twice of the area significantly reduced. 2) The vegetation NDVI showed a significant spatial heterogeneity under the dual effects of climate and human activities. In the area of NDVI significantly increased, climate factor accounted for 47.79% of the causes, and the precipitation and temperature make nearly equal contributions while the policies of grazing prohibition and balance management between grass and livestock is the most important human factor, accounting for 69.55% of the causes. 3) In the area of NDVI significantly reduced, climate factors accounted for 52.55% of the causes, in which precipitation was the main factor among all. Human activities accounted for 24.73% of the causes. 4) In the area of NDVI significantly increased, the impact of human activities is greater than that of climatic factors, and the coupling effect between them is prominent.

Key words: normalized differential vegetation index, driving mechanism, climate response, human activity, Xilin Gol