• DocumentCode
    2590357
  • Title

    Notice of Retraction
    Estimating carbon storage of major planted forests in three provinces of subtropical China based on forest inventory data

  • Author

    Hu Qing ; Wang Silong

  • Author_Institution
    Huitong Exp. Station of Forest Ecology, Chinese Acad. of Sci., Shenyang, China
  • Volume
    2
  • fYear
    2010
  • fDate
    28-31 Aug. 2010
  • Firstpage
    29
  • Lastpage
    32
  • Abstract
    Notice of Retraction

    After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

    We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

    The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

    Estimates of forest vegetation carbon storage in subtropical China played an important role in researching climate dynamics and its mechanism. Carbon storage reflecting the effect of biomass and volume was developed for major planted forests (Pinus massoniana, Cunninghamia lanceolata) by means of the fifth FID (1994-1998) and assessing carbon density in three provinces (Hubei, Hunan, Anhui). Results showed that carbon storage and carbon density of Pinus massoniana varied at the range of 11.46Tg-27.18Tg and 12.96Mg/ha-14.68Mg/ha, respectively. The carbon storage and carbon density of Cunninghamia lanceolata varied from 4.40Tg to 39.70Tg and 13.28Mg/ha to 16.31Mg/ha, respectively. The distribution of carbon storage and carbon density of different forest types closely related with biomass and volume. This study indicated not only with estimation carbon storage and carbon density of many major planted in subtropical China but also with a method for forest vegetation carbon storage in spatial scales and regional scales.
  • Keywords
    carbon; climate mitigation; climatology; forestry; vegetation; AD 1994 to 1998; Anhui province; C; Cunninghamia lanceolata; Hubei province; Hunan province; Pinus massoniana; biomass; carbon density; carbon storage; climate dynamics; forest inventory data; forest vegetation carbon storage; subtropical China; Biomass; Carbon; Environmental factors; Equations; Mathematical model; Meteorology; Vegetation; Cunninghamia lanceolata; Pinus massoniana; carbon density; carbon storage; forest inventory data;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing (IITA-GRS), 2010 Second IITA International Conference on
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4244-8514-7
  • Type

    conf

  • DOI
    10.1109/IITA-GRS.2010.5603211
  • Filename
    5603211