Acta Geographica Sinica ›› 2016, Vol. 71 ›› Issue (5): 781-796.doi: 10.11821/dlxb201605007

• Orginal Article • Previous Articles     Next Articles

The spatial pattern of grassland aboveground biomass and its environmental controls in the Eurasian steppe

Cuicui JIAO1,2, Guirui YU1, Nianpeng HE1, Anna MA1, Jianping GE3, Zhongmin HU1   

  1. 1. Synthesis Research Center of Chinese Ecosystem Research Network, Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
    2. University of Chinese Academy of Sciences, Beijing 100049, China
    3. College of Life Sciences, Beijing Normal University, Beijing 100875, China
  • Received:2015-11-12 Revised:2016-01-25 Online:2016-05-25 Published:2016-05-25
  • Supported by:
    The Chinese Academy of Sciences Strategic Priority Research Program, No。XDA05050602;National Natural Science Foundation of China, No.31290221

Abstract:

In this study, we collected aboveground biomass (AGB) data by the harvesting method in the Eurasian steppe. We then discussed the spatial pattern of AGB, and correlations of AGB to its environmental controls by Meta-analysis. Our results mainly indicated that the spatial distribution of AGB had not only complex horizontal but also vertical zonality in the Eurasian steppe. Along a latitudinal gradient and an altitudinal gradient, the spatial variation in AGB was well characterized by an inverted U-shaped quadratic function, while a U-shaped quadratic function along a longitudinal gradient. In addition, the spatial variation in AGB was related to mean annual temperature (MAT), mean annual solar radiation (MAR), Gravel content and pH in topsoil (0-30 cm) of the Eurasian steppe. However, mean annual precipitation (MAP) could explain the largest proportion of AGB variation of the Eurasian steppe. Finally, the spatial variation in AGB was well correlated with MAP in a Gaussian function. The main reason was that vegetation and environment held special characteristics in the Tibetan Plateau.

Key words: aboveground biomass, spatial pattern, the Eurasian steppe, Quadratic function, Gaussian function