[1]汪国彬,高 伟,刘宜滨,等.闽南山地细齿叶柃群落结构、生态位分化与种间互作机制[J].南京师大学报(自然科学版),2025,48(06):70-78.[doi:10.3969/j.issn.1001-4616.2025.06.008]
　Wang Guobin,Gao Wei,Liu Yibin,et al.Community Structure,Niche Differentiation and Interspecific Interaction Mechanisms of Eurya nitida Communities in the Mountainous Areas of Southern Fujian[J].Journal of Nanjing Normal University(Natural Science Edition),2025,48(06):70-78.[doi:10.3969/j.issn.1001-4616.2025.06.008]
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闽南山地细齿叶柃群落结构、生态位分化与种间互作机制()

《南京师大学报（自然科学版）》[ISSN:1001-4616/CN:32-1239/N]

卷:
48
期数:
2025年06期
页码:
70-78
栏目:
生物学
出版日期:
2025-12-20

文章信息/Info

Title:
Community Structure,Niche Differentiation and Interspecific Interaction Mechanisms of Eurya nitida Communities in the Mountainous Areas of Southern Fujian
文章编号:
1001-4616(2025)06-0070-09
作者:
汪国彬1; 高 伟2; 刘宜滨1; 周显臻2; 肖志坚1; 沈德祥1; 郭水土1
(1.福建省半林国有林场,福建 泉州 350699)
(2.福建林业职业技术学院林学系,福建 南平 353011)
Author(s):
Wang Guobin1; Gao Wei2; Liu Yibin1; Zhou Xianzhen2; Xiao Zhijian1; Shen Dexiang1; Guo Shuitu1
(1.Banlin State-owned Forest Farm in Fujian Province,Quanzhou 350699,China)
(2.Department of Forestry,Fujian Forestry Vocational and Technical College,Nanping 353011,China)
关键词:
细齿叶柃; 群落特征; 优势种; 种间关系; 生态位; 生态种组
Keywords:
Eurya nitida; community characteristics; dominant species; interspecific relationships; niche; ecological species groups
分类号:
S718.54
DOI:
10.3969/j.issn.1001-4616.2025.06.008
文献标志码:
A
摘要:
为深入探究蜜源植物细齿叶柃的群落特征、优势种种间关系,揭示其环境适应策略并预测群落演替趋势,研究团队在闽南山地设置 1 hm2样地,对细齿叶柃天然群落展开全面调查与数据分析. 结果表明:(1)细齿叶柃群落包含78种植物,分属30科52属. 不同层次优势种显著不同,乔木层中细齿叶柃重要值达49.95,马尾松为 47.61; 灌木层里细齿叶柃重要值为60.99,杨桐为59.28; 草本层中芒萁重要值高达83.93.(2)优势种生态位宽度在各层次差异明显,乔木层马尾松(BL为22,BS为3.15)和细齿叶柃(BL为 20.07,BS为 3.1)最大,灌木层冬青(BL为 21.59,BS为 3.13)最大,草本层狗脊蕨(BL为 20.69,BS为 3.07)和草珊瑚(BL为 20.58,BS为 3.07)较大. 生态位重叠指数表明,乔木层均值为 0.30,细齿叶柃与部分树种重叠值高,如与茜树、罗浮柿重叠值高于 0.9; 灌木层均值为 0.59,细齿叶柃与杨桐高度重叠(0.962); 草本层均值为 0.45,菝葜与鸡屎藤重叠值最大(1.092).(3)群落总体联结性方面,乔木层和灌木层方差比率分别为2.078 和4.408,呈显著正联结; 草本层方差比率为 0.633,呈不显著负联结; 优势种种间相关性复杂,不同层次显著相关种对比例和正负相关性各异.(4)通过聚类将乔木层划分为3个生态组,灌木层划分为4个生态组,草本层划分为2个生态组. 研究结果为细齿叶柃群落的保护、管理以及柃属植物资源的合理开发利用提供了重要的科学依据.
Abstract:
To explore the community characteristics of the nectariferous plant Eurya nitida,the interspecific relationships of its dominant species,reveal its environmental adaptation strategies,and predict the community succession trend,a sample plot(1 hm2)was established in the mountainous area of southern Fujian. A comprehensive investigation and data analysis were carried out on the natural community of Eurya nitida. The results are as follows:(1)The Eurya nitida community consists of 78 plant species,belonging to 30 families and 52 genera. The dominant species vary significantly among different layers. In the tree layer,the importance value of Eurya nitida reaches 49.95,and that of Pinus massoniana is 47.61. In the shrub layer,the importance value of Eurya nitida is 60.99,and that of Adinandra millettii is 59.28. In the herb layer,the importance value of Dicranopteris dichotoma is as high as 83.93.(2)The niche breadths of dominant species show obvious differences among different layers. In the tree layer,Pinus massoniana(BL=22,BS=3.15)and Eurya nitida(BL=20.07,BS=3.1)have the largest niche breadths. In the shrub layer,Ilex chinensis(BL=21.59,BS=3.13)has the largest niche breadth. In the herb layer,Woodwardia japonica(BL=20.69,BS=3.07)and Sarcandra glabra(BL=20.58,BS=3.07)have relatively large niche breadths. The niche overlap index indicates that the average value in the tree layer is 0.30,and Eurya nitida has high overlap values with some tree species. For example,its overlap values with Aidia cochinchinensis and Diospyros morrisiana are higher than 0.9. The average value in the shrub layer is 0.59,and Eurya nitida has a high overlap with Adinandra millettii(0.962). The average value in the herb layer is 0.45,and the maximum overlap value occurs between Smilax china and Paederia foetida(1.092).(3)In terms of the overall connectivity of the community,the variance ratios of the tree layer and the shrub layer are 2.078 and 4.408,respectively,showing significant positive connectivity. The variance ratio of the herb layer is 0.633,showing non-significant negative connectivity. The interspecific correlations of dominant species are complex,with different proportions of significantly correlated species pairs and different positive and negative correlations in different layers.(4)Through clustering analysis,the tree layer is divided into 3 ecological groups,the shrub layer into 4 ecological groups,and the herb layer into 2 ecological groups. The research results provide important scientific basis for the protection and management of the Eurya nitida community and the rational development and utilization of Eurya plant resources.

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备注/Memo

备注/Memo:
收稿日期:2025-02-19.
基金项目:福建省教育厅中青年教师教育科研项目重点项目(JZ230077)、福建林业职业技术学院科研创新团队研究项目(2021LK01).
通讯作者:高伟,博士,副教授,研究方向:森林物种多样性构建机制. E-mail:gao0127@163.com
更新日期/Last Update: 2025-12-20