• DocumentCode
    2475107
  • Title

    Spatial pattern of light use efficiency of subtropical evergreen coniferous in China

  • Author

    Zhang, Xiujuan ; Han, Hairong ; Wu, Chu ; Wang, Junbang

  • Author_Institution
    Coll. of Horticulture & Garden, Yangtze Univ., Jingzhou, China
  • fYear
    2011
  • fDate
    24-26 June 2011
  • Firstpage
    7101
  • Lastpage
    7104
  • Abstract
    Light-use efficiency (LUE) is used commonly with remotely sensed and meteorological data to monitor terrestrial ecosystem primary production (NPP). Studying the variation in space of LUE is helpful to obtain a deep understanding of the carbon cycles. Spatial pattern of LUE in subtropics evergreen coniferous based on NPP were studied at local level. The results showed that the average of LUE was 0.71 g-MJ-1. LUE tracked closely with NPP and NPP gradually decreased from southeast to northwest in subtropics evergreen coniferous. In a linear regression, longitude, latitude, and precipitation accounted for approximately 50.5 % of the variability in LUE. LUE showed single-peaked curve followed with the increase of precipitation. The highest LUE was reached when the precipitation is about 1200 ~ 1400 mm. Spatial patterns of the LUE were discussed based on the observation data, which provides very crucial data for further correction, improvement and evaluation of LUE model.
  • Keywords
    atmospheric precipitation; atmospheric techniques; data analysis; ecology; regression analysis; remote sensing; China; LUE spatial pattern; light use efficiency; linear regression analysis; meteorological data; northwest region; precipitation analysis; remote sensing; southeast region; subtropical evergreen coniferous forest; terrestrial ecosystem primary production; Atmospheric modeling; Biological system modeling; Carbon; Forestry; Productivity; Vegetation; evergreen coniferous; light use efficiency; local level;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-9172-8
  • Type

    conf

  • DOI
    10.1109/RSETE.2011.5966001
  • Filename
    5966001