• DocumentCode
    2714539
  • Title

    Modeling the spatial-temporal dynamics of net primary production in Yangtze River Basin using IBIS model

  • Author

    Zhang, Zhen ; Jiang, Hong ; Liu, Jinxun ; Zhu, Qiuan ; Wei, Xiaohua ; Jiang, Zishan ; Zhou, Guomo ; Zhang, Xiuying ; Han, Juejing

  • Author_Institution
    Int. Inst. for Earth Syst. Sci., Nanjing Univ., Nanjing, China
  • fYear
    2011
  • fDate
    24-26 June 2011
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The climate change has significantly affected the carbon cycling in Yangtze River Basin. To better understand the alternation pattern for the relationship between carbon cycling and climate change, the net primary production (NPP) were simulated in the study area from 1956 to 2006 by using the Integrated Biosphere Simulator (IBIS). The results showed that the average annual NPP per square meter was about 0.518 kg C in Yangtze River Basin. The high NPP levels were mainly distributed in the southeast area of Sichuan, and the highest value reached 1.05 kg C/m2. The NPP increased based on the simulated temporal trends. The spatiotemporal variability of the NPP in the vegetation types was obvious, and it was depended on the climate and soil condition. We found the drought climate was one of critical factor that impacts the alterations of the NPP in the area by the simulation.
  • Keywords
    climate mitigation; rivers; AD 1956 to 2006; China; IBIS model; Integrated Biosphere Simulator; Yangtze river basin; alternation pattern; carbon cycling; climate change; climate condition; land process model; net primary production; simulated temporal trends; soil condition; spatial-temporal dynamics; spatiotemporal variability; Atmospheric modeling; Biological system modeling; Carbon; Ecosystems; Meteorology; Rivers; Vegetation; IBIS; Yangtze RiverBasin; land process model; net primary production (NPP);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoinformatics, 2011 19th International Conference on
  • Conference_Location
    Shanghai
  • ISSN
    2161-024X
  • Print_ISBN
    978-1-61284-849-5
  • Type

    conf

  • DOI
    10.1109/GeoInformatics.2011.5981181
  • Filename
    5981181