Change trend of vegetation cover in Beijing metropolitan region before and after the 2008 Olympics

Xiao Peng Sun, Tian Ming Wang, Jianguo Wu, Jian Ping Ge

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

The MODIS-NDVI data from 2000 to 2009 were used to analyze the temporal dynamics and spatial distribution of the vegetation cover in the Beijing metropolitan region before and after the 2008 Olympics. During the study period, the proportion of the significantly increased pixels of NDVI occupied 20.7% while that of the significantly decreased pixels only occupied 4.1% of the total, and the decreasing rate of the NDVI was slightly faster than the increasing rate. The significant changes of the NDVI were mainly concentrated in the low altitude and small slope areas with intensive human activities, and two bands were formed in the plain area, i.e., the vegetation increasing band within the 5th Ring Road and the vegetation decreasing band from the 5th Ring Road to the outside areas of the 6th Ring Road. In the areas with significant vegetation change, there was an obvious transition between the high and low NDVI sections but less change in the medium NDVI section, mainly due to the conversion of land cover type. In the Capital function core area and ecological conservation zones, vegetation change represented a positive trend; while in the urban function expansion area and urban development area, vegetation change had the dual characteristics of both positive and negative trends. A series of ecological engineering projects during the preparatory period of the 2008 Olympics was the main cause of the vegetation increase in the study area.

Original languageEnglish (US)
Pages (from-to)3133-3140
Number of pages8
JournalChinese Journal of Applied Ecology
Volume23
Issue number11
StatePublished - Nov 1 2012

Keywords

  • Beijing
  • MODIS-NDVI
  • The Olympics
  • Trend analysis
  • Vegetation

ASJC Scopus subject areas

  • Ecology, Evolution, Behavior and Systematics
  • Ecology

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