Biodiversity Science ›› 2020, Vol. 28 ›› Issue (2): 128-134.doi: 10.17520/biods.2019276

• Original Papers • Previous Article     Next Article

Population spatial pattern of Stipa grandis and its response to long-term overgrazing

Xinting Wang1, *(), Jing Chai1, Chao Jiang2, *(), Yang Tai3, Yanyan Chi4, Weihua Zhang1, 3, Fang Liu1, Suying Li1   

  1. 1 School of Energy and Power Engineering, Inner Mongolia University of Technology, Hohhot 010051
    2 Institute of Grassland Research, Chinese Academy of Agriculture Sciences, Hohhot 010010
    3 Inner Mongolia Coral Environmental Technology Co., LTD, Hohhot 010010
    4 Inner Mongolia Sunture Environmental Technology Co., LTD, Hohhot 010062
  • Received:2019-09-04 Accepted:2019-11-11 Online:2020-04-02
  • Xinting Wang,Chao Jiang E-mail:wang_x_t2002@163.com;jcfly2004@126.com

Spatial distribution patterns of plant populations is fundamental to ecology. Primary communities have become rare in the steppe because long-term overgrazing has led to serious degradation of the steppe ecosystems and requires further investigation. The most widely distributed grassland across the Eurasia steppe region is the Stipa grandis community. At present, there are well-preserved primary S. grandis communities in the steppe region. We chose the primary S. grandis community and long-term overgrazing community of S. grandis, and applied an O-Ring function combined with null models to analyze the spatial pattern of S. grandis. The results showed that the spatial pattern of S. grandis was overdispersed in the primary community at the small scale, while it was clustered in the long-term overgrazing community. These results indicate that competition was the main interaction in the primary community, while positive interactions dominated in the long-term overgrazing community. Therefore, these results verified the stress gradient hypothesis and proved that long-term overgrazing altered population spatial patterns.

Key words: point pattern analysis, O-Ring function, stress gradient hypothesis (SGH), replicate sampling, population, primary community, long-term overgrazing

Fig. 1

Spatial pattern analysis of Stipa grandis in the primary community based on the homogeneous Poisson null model. -●- observational data; -- the confidence limits (99%). (A) Point pattern analysis in each replicate, subscripts 1, 2 and 3 refer to replicates; (B) Point pattern analysis by integrating data of three replicates."

Fig. 2

Spatial pattern analysis of Stipa grandis in the grazed community based on the homogeneous Poisson null model. -●- observational data; -- the confidence limits (99%). (A) Point pattern analysis in each replicate, subscripts 1, 2 and 3 refer to replicates; (B) Point pattern analysis by integrating data of three replicates."

Fig. 3

Spatial pattern analysis of Stipa grandis in the primary community based on the heterogeneous Poisson null model. -●- observational data; -- the confidence limits (99%). (A) Point pattern analysis in each replicate, subscripts 1, 2 and 3 refer to replicates; (B) Point pattern analysis by integrating data of three replicates."

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