Journal of Resources and Ecology ›› 2012, Vol. 3 ›› Issue (1): 43-49.DOI: 10.5814/j.issn.1674-764x.2012.01.007

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Detecting Effects of the Recent Drought on Vegetation in Southwestern China

ZHANG Jinghua1,2, JIANG Luguang1, FENG Zhiming1, LI Peng1,2   

  1. 1. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China;
    2. Graduate University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2011-07-04 Revised:2012-02-08 Online:2012-03-30 Published:2012-03-30
  • Supported by:

    Scientific Survey on the middle- and lower-reaches of Lancang (Mekong) River and Grand Shangri-La Area (2008FY110300).

Abstract: The severest drought on record occurred in southwestern China from September 2009 until March 2010. In order to measure the impact the drought imposed on vegetation, we developed an evaluation indicator called the Vegetation Index Anomaly (VIA) based on MODIS/EVI. The tempospatial pattern of this impact was analyzed. Given that this impact may be modulated by many factors, the responses of different vegetation types (woodland, grassland and cropland), and the spatial pattern of meteorological drought were also analyzed. Results show that more than 50% of vegetation suffered because of this drought event, but there was significant tempo-spatial variability in the range and intensity of impact. This variability may be caused by many factors. Of the three major vegetation types, cropland was the most sensitive to drought, followed by grassland and then woodland. In addition, meteorological factors (precipitation and air temperature) also played a role; however, obvious differences exist between the spatial distribution pattern of drought-stricken vegetation and that of meteorological drought, which further demonstrates the intervention of other factors besides meteorological factors. So compared to meteorological drought, the vegetation index may be more useful for measuring the actual intensity, duration and impact of drought events. The limitations of vegetation indices are also considered.

Key words: NDVI, EVI, Vegetation Index Anomaly, drought monitoring, Southwestern China