• DocumentCode
    2714016
  • Title

    Monitoring the response of vegetation to acid deposition in eco-regions of subtropical China based on SPOT/NDVI

  • Author

    Jin, Jiaxin ; Jiang, Hong ; Zhang, Xiuying ; Wang, Ying

  • Author_Institution
    Int. Inst. for Earth Syst. Sci., Nanjing Univ., Nanjing, China
  • fYear
    2011
  • fDate
    24-26 June 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    As the key component of the ecosystems, vegetation is the main receptor of acid pollution. The present study aims to reveal influence of acid deposition on vegetations in subtropical China through comparison inter/inter-annual and seasonal variations of NDVI in 11 eco-regions between severe acid rain region (SR) and normal acid rain region (NR), based on the SPOT/VGT_10Day_NDVI and precipitation pH from 1999 to 2001. The results show in general, acid rain inhibited the growth of evergreen forests and conifer forests, while acid deposition promoted the growth of Qin Ling Mountain deciduous forests and Yellow Sea saline meadow. In subtropical China, the growth of vegetation in NR was more active than that in SR except Yunnan-Guizhou Plateau and the Sichuan region,. Although, in Yellow Sea saline meadow eco-region, acid rain had a positive effect in all seasons, confirming that acid rain supplied nutrient to the meadow vegetation.
  • Keywords
    air pollution; vegetation; AD 1999 to 2001; China; NDVI; Qin Ling Mountain deciduous forests; Sichuan region; Yellow Sea saline meadow; Yunnan-Guizhou Plateau; acid deposition; acid pollution; conifer forests; ecoregions; evergreen forests; normal acid rain region; severe acid rain region; subtropical China; vegetation response; Clouds; Ecosystems; Monitoring; Rain; Soil; Strontium; Vegetation; NDVI; acid rain; acid rain control areas; eco-region; regional differences;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoinformatics, 2011 19th International Conference on
  • Conference_Location
    Shanghai
  • ISSN
    2161-024X
  • Print_ISBN
    978-1-61284-849-5
  • Type

    conf

  • DOI
    10.1109/GeoInformatics.2011.5981150
  • Filename
    5981150