Chin J Plant Ecol ›› 2024, Vol. 48 ›› Issue (2): 180-191.DOI: 10.17521/cjpe.2023.0209

• Research Articles • Previous Articles     Next Articles

Spatial patterns and associations of dominant species in a subtropical mid-mountain moist evergreen broadleaf forest in Gaoligong Mountains, Southwest China

WANG Li-Ping1, WU Jun-Jie1, CHAI Yong2,3,4,*(), LI Jia-Hua5, YANG Chang-Ji5, ZHAO Shi-Jie5   

  1. 1College of Agriculture and Biological Science, Dali University, Dali, Yunnan 671003, China
    2Yunnan Academy of Forestry and Grassland, Kunming 650201, China
    3Yunnan Key Laboratory of Biodiversity of Gaoligong Mountain, Kunming 650201, China
    4Gaoligong Mountain Forest Ecosystem Observation and Research Station of Yunnan Province, Kunming 650201, China
    5Longyang Branch of Gaoligongshan National Nature Reserve, Baoshan Management Bureau, Baoshan, Yunnan 678000, China
  • Received:2023-07-18 Accepted:2023-11-27 Online:2024-02-28 Published:2023-12-08
  • Contact: * (chaiyong@yafg.ac.cn)
  • Supported by:
    National Natural Science Foundation of China(31901102);National Key R&D Program of China(2022YFF13024);Candidates of the Young and Middle-Aged Academic Leaders of Yunnan Province of China(202205AC160041)

Abstract:

Aims The spatial distributions and associations of tree species offer valuable insights into interspecies relationships and their interplay with the surrounding environment. These insights are critical for understanding community assembly and species coexistence.

Methods To investigate the spatial distribution patterns of the tree species in the mid-mountain moist evergreen broadleaf forest in the south of Gaoligong Mountains, the spatial distributions and interspecies associations of ten dominant species were analyzed by using the point pattern analyses for all woody plants with diameter at breast height ≥ 1 cm in a 4 hm2 plot.

Important findings Our results showed: (1) All ten dominant species and the overall tree population exhibited a J-shaped diameter class distribution, indicating growing populations with successful recruitment. (2) Under the complete spatial randomness with univariate pairwise correlation functions, the small-scale patterns of species distribution were aggregated. This aggregation weakened with increasing scale, resulting in random and uniform distribution at larger scales. After accounting for environmental heterogeneity, the range of aggregation was reduced, while the range of random and uniform distribution expanded. (3) Bivariate pairwise correlation function tests under complete spatial randomness null model demonstrated that interspecies correlations were dominated by significant positive associations, while become no significant association under heterogeneous Poisson null model. In conclusion, the distribution patterns and correlations of ten dominant species in Gaoligong Mountains varied with spatial scale, further emphasizing the strong scale-dependency of species distributions. This suggests that forests in Gaoligong Mountains were influenced by several factors, such as dispersal limitation, negative density dependence, and habitat heterogeneity.

Key words: Gaoligong Mountains, point pattern, pairwise correlation function, spatial distribution, interspecies associations