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

SHI Na-Na1 XIAO Neng-Wen1 WANG Qi1 HAN Yu1 GAO Xiao-Qi1 FENG Jin1 QUAN Zhan-Jun1

(1.State Environmental Protection Key Laboratory of Regional Eco-process and Function Assessment, Chinese Research Academy of Environmental Sciences, Beijing, China 100012)

【Abstract】 Aims Quantitative 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. Methods In this study, we 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 area with significant increase in NDVI was twice the area with significant reduction of NDVI. 2) The vegetation NDVI showed significant spatial heterogeneity under the dual effects of climate and human activities. In the area with significant increase in NDVI, climatic factor accounted for 47.79% of the causes, and the precipitation and temperature made nearly equal contributions while the policies of grazing prohibition and balance management between grass and livestock were the most important human factors, accounting for 69.55% of the causes. 3) In the area with significant reduction in NDVI, climatic factors accounted for 52.55% of the causes, in which precipitation was the main factor. Human activities accounted for 24.73% of the causes. 4) In the area with significant rise of NDVI, the impact of human activities was greater than that of climatic factors, and the coupling effect of them was prominent.

【Keywords】 normalized differential vegetation index; driving mechanism; climate response; human activity; Xilin Gol;


【Funds】 National Key R&D Program of China (2016YFC0501108-5, 2016YFC0501101-3).

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This Article



Vol 43, No. 04, Pages 331-341

April 2019


Article Outline


  • 1 Materials and methods
  • 2 Results and analysis
  • 3 Discussion and conclusions
  • References