• DocumentCode
    255248
  • Title

    Analysis of impacts of drought on GPP in Yunnan province based on MODIS products

  • Author

    Guan Xiaobin ; Shen Huanfeng ; Gan Wenxia ; Zhang Liangpei

  • Author_Institution
    Sch. of Resource & Environ. Sci., Wuhan Univ., Wuhan, China
  • fYear
    2014
  • fDate
    11-14 Aug. 2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Drought has profound impacts on the balance of regional ecosystem. Recently, Yunnan province in China experiences more and more frequent and severe droughts. It is significant to study the effect of drought on the carbon cycle of Yunnan province. Gross primary productivity (GPP) could intuitively reflect the growth status of vegetation. In this paper, we analyzed the response of GPP to droughts in Yunnan province, and evaluated the impact of meteorological factor on the carbon cycle. The results indicated that droughts could apparently lead to reduction of GPP respectively on annual, seasonal and monthly scale. And for most vegetation types, the GPP showed good correlation with both temperature and precipitation, excepting the evergreen forests. What´s more, croplands were more sensitive to the droughts than other vegetation types, with the highest correlation coefficient to the precipitation and no lag existed.
  • Keywords
    crops; forestry; hydrology; precipitation; productivity; China; GPP; MODIS products; Yunnan province; annual scale; carbon cycle; correlation coefficient; drought impacts; evergreen forests; gross primary productivity; meteorological factor; monthly scale; precipitation; regional ecosystem; seasonal scale; vegetation types; Carbon; Correlation; Correlation coefficient; MODIS; Meteorological factors; Productivity; Vegetation mapping; GPP; MODIS; carbon cycle; croplands; drought;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Agro-geoinformatics (Agro-geoinformatics 2014), Third International Conference on
  • Conference_Location
    Beijing
  • Type

    conf

  • DOI
    10.1109/Agro-Geoinformatics.2014.6910652
  • Filename
    6910652