植物生态学报 ›› 2024, Vol. 48 ›› Issue (2): 180-191.DOI: 10.17521/cjpe.2023.0209

• 研究论文 • 上一篇    下一篇

高黎贡山中山湿性常绿阔叶林优势种空间分布格局及其关联性

王丽萍1, 乌俊杰1, 柴勇2,3,4,*(), 李家华5, 杨昌级5, 赵士杰5   

  1. 1大理大学农学与生物科学学院, 云南大理 671003
    2云南省林业和草原科学院, 昆明 650201
    3云南省高黎贡山生物多样性重点实验室, 昆明 650201
    4高黎贡山森林生态系统云南省野外科学观测研究站, 昆明 650201
    5云南高黎贡山国家级自然保护区保山管护局隆阳分局, 云南保山 678000
  • 收稿日期:2023-07-18 接受日期:2023-11-27 出版日期:2024-02-28 发布日期:2023-12-08
  • 通讯作者: * (chaiyong@yafg.ac.cn)
  • 基金资助:
    国家自然科学基金(31901102);国家重点研发计划(2022YFF13024);云南省中青年学术和技术带头人后备人才项目(202205AC160041)

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)

摘要:

树种的空间格局和关联性能够反映种间关系及其与周围环境的相互作用, 对揭示群落构建和物种共存机制具有重要意义。因此, 为探究高黎贡山南段中山湿性常绿阔叶林树种的空间分布格局, 以高黎贡山4 hm2样地内胸径≥1 cm的所有木本植物为研究对象, 采用点格局分析方法分析重要值前10的优势物种的空间分布及其种间关联性。结果表明: (1) 10个优势种及整个样地的径级结构都呈现倒“J”形, 为增长型, 有利于种群的更新。(2)优势种在小尺度为聚集分布; 随着尺度的增加, 聚集程度降低; 大尺度为随机分布和均匀分布。而去除环境异质性后, 聚集分布的尺度范围缩小, 随机分布和均匀分布的尺度范围增大。(3)在双变量成对相关函数检验模拟下, 10个物种间关联性的完全空间随机模型主要以显著正关联为主, 先决条件模型以无关联为主。研究表明, 高黎贡山的10个优势种的分布格局及其关联性随尺度而变化, 进一步证明物种的空间分布具有较强的尺度依赖性, 并且该森林可能受到扩散限制、负密度制约和生境异质性等影响。

关键词: 高黎贡山, 点格局, 成对相关函数, 空间分布, 种间关联

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