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作 者:王丽萍 乌俊杰 柴勇 李家华 杨昌级 赵士杰 WANG Li-Ping;WU Jun-Jie;CHAI Yong;LI Jia-Hua;YANG Chang-Ji;ZHAO Shi-Jie(College of Agriculture and Biological Science,Dali University,Dali,Yunnan 671003,China;Yunnan Academy of Forestry and Grassland,Kunming 650201,China;Yunnan Key Laboratory of Biodiversity of Gaoligong Mountain,Kunming 650201,China;Gaoligong Mountain Forest Ecosystem Observation and Research Station of Yunnan Province,Kunming 650201,China;and 5Longyang Branch of Gaoligongshan National Nature Reserve,Baoshan Management Bureau,Baoshan,Yunnan 678000,China)
机构地区:[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
出 处:《植物生态学报》2024年第2期180-191,共12页Chinese Journal of Plant Ecology
基 金: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)。
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。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.
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