• DocumentCode
    573452
  • Title

    GIS-based research on spatial-temporal variation characteristics of Carbon Footprint in Hunan Province from 2000 to 2010

  • Author

    Hua, Peng ; Xionghui, Ji ; Qingbo, Zhou ; Jia, Liu

  • Author_Institution
    Hunan Agric. Environ. Res. Center, Inst. of Soil & Fertilizer in Hunan Province, Changsha, China
  • fYear
    2012
  • fDate
    2-4 Aug. 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Based on the statistic data of crop production in the period from 2000 to 2010, Carbon Footprint (CF) of the farmland ecosystem was estimated in Hunan province of China. Conclusions were reached as follows: The Carbon Footprint in Hunan province manifested general increasing trend. The CF in major grain-producing areas around the Dongting Lake´s are generally larger, while the regional economy is relatively more developed. CF was very significantly correlated with the sown area of crops and the total agricultural output value (p<;0.01). Among the factors contributed to CF, fertilizer inputs was the highest contribution to CF. So, we could concluded that control of fertilizer usage and increase fertilizer use efficiency is one of the effective measures to reduce CF.
  • Keywords
    crops; ecology; farming; fertilisers; geographic information systems; pollution control; statistics; China; Dongting lake; GIS-based research; Hunan province; carbon footprint; crop production; crop sown area; farmland ecosystem; fertilizer input; fertilizer usage control; fertilizer use efficiency; geographical information system; spatial-temporal variation characteristics; statistic data; total agricultural output value; Carbon; Carbon dioxide; Ecosystems; Fertilizers; Global warming; Production; Carbon Footprint; GIS; Hunan province;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Agro-Geoinformatics (Agro-Geoinformatics), 2012 First International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4673-2495-3
  • Electronic_ISBN
    978-1-4673-2494-6
  • Type

    conf

  • DOI
    10.1109/Agro-Geoinformatics.2012.6311658
  • Filename
    6311658