• DocumentCode
    2226664
  • Title

    Forest Carbon Sinks Information Acquisition and Regional Low Carbon Development Analysis

  • Author

    Jiang, Hong ; Chen, Fu-ji ; Wang, Qin-min

  • Author_Institution
    Coll. of Public Adm., Fuzhou Univ., Fuzhou, China
  • Volume
    3
  • fYear
    2010
  • fDate
    26-28 Nov. 2010
  • Firstpage
    409
  • Lastpage
    412
  • Abstract
    Scientific decision is normally based on the scientific data or valid information. The forest carbon sinks information of Fujian Province, China was simulated by the boreal ecosystem productivity simulator (BEPS) and validated by the field measurement sample from other researchers. Then the forest net ecosystem productivity (NEP) information was used to analyze the low carbon development situation of Fujian, with the gross domestic products (GDP) and energy consumption data. Finally, the valuable information was concluded: that the environment Kuznets curve (EKC) was not supported by energy consumption (or carbon balance amount) - GDP correlation analysis, while the U curve between GDP - carbon balance amount was discovered, and approximately 45% counties or cities in Fujian were proved “low carbon cities”. This information may provide important incentive to local government for scientific decision making in regional low carbon development in Fujian under global warming background, for example promoting forest carbon activities and “low carbon city”.
  • Keywords
    atmospheric temperature; carbon; decision making; economic indicators; forestry; global warming; local government; Fujian province; GDP correlation analysis; NEP information; boreal ecosystem productivity simulator; carbon balance amount; energy consumption; environment Kuznets curve; forest carbon sinks; forest net ecosystem productivity; global warming; gross domestic product; information acquisition; local government; low carbon city; regional low carbon development analysis; scientific decision making; U curve; forest carbon sinks; low carbon development;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Management, Innovation Management and Industrial Engineering (ICIII), 2010 International Conference on
  • Conference_Location
    Kunming
  • Print_ISBN
    978-1-4244-8829-2
  • Type

    conf

  • DOI
    10.1109/ICIII.2010.418
  • Filename
    5694762