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植物研究 ›› 2026, Vol. 46 ›› Issue (1): 167-180.doi: 10.7525/j.issn.1673-5102.2026.01.015

• 研究论文 • 上一篇    下一篇

中国马蹄荷群落植物多样性及其驱动机制

买凯乐1, 张象君1(), 何振革1, 梁梅华1, 劳广杰1, 陶玉姣2   

  1. 1.广西生态工程职业技术学院,广西珍贵乡土树种良种培育中心,柳州 545004
    2.广西壮族自治区国有三门江林场,柳州 545006
  • 收稿日期:2025-05-23 出版日期:2026-01-20 发布日期:2026-01-20
  • 通讯作者: 张象君 E-mail:zxj-nefu@163.com
  • 作者简介:买凯乐(1981—),女,博士研究生,副教授,主要从事森林培育研究。
  • 基金资助:
    广西壮族自治区林业局科技项目(桂林科研(2022ZC┫第45号));广西生态工程职业技术学院人才专项(GXSTKYZX 20240601)

Plant Diversity and Its Driving Mechanisms in Exbucklandia populnea Communities in China

Kaile MAI1, Xiangjun ZHANG1(), Zhenge HE1, Meihua LIANG1, Guangjie LAO1, Yujiao TAO2   

  1. 1.Guangxi Rare Indigenous Trees Propagation Center,Guangxi Eco-Engineering Vocational and Technical College,Liuzhou 545004
    2.Guangxi Zhuang Autonomous Region State-owned Sanmenjiang Forest Farm,Liuzhou 545006
  • Received:2025-05-23 Online:2026-01-20 Published:2026-01-20
  • Contact: Xiangjun ZHANG E-mail:zxj-nefu@163.com

摘要:

针对马蹄荷(Exbucklandia populnea)群落的多样性格局及驱动机制,该研究系统分析了云南、广西和贵州等马蹄荷主要分布区不同更新起源(天然林与人工林)、林龄梯度、抚育强度及年降水量等对植物种组成、αβ多样性的影响。通过Simpson和Shannon-Wiener指数比较不同林分的α多样性;以非度量多维尺度分析(NMDS)、UPGMA聚类和指示种分析揭示β多样性格局;基于冗余分析(RDA)及其方差分解量化各因子对不同群落层次物种丰富度和多样性的驱动作用及其解释率。结果表明:未抚育的天然老龄林在各类型的丰富度和多样性指数上均显著高于人工林(P<0.05);NMDS与UPGMA聚类将天然林与人工林清晰区分(P<0.001),且指示种分析在3个天然林分中分别筛选出14、4和1种指示种,而人工林未检出指示种;RDA显示天然林与林龄对物种丰富度及多样性具有明显的正向作用,抚育强度与年降水量则表现出负向影响。整体上,地理位置、更新起源、林龄与经营干预共同塑造马蹄荷群落的αβ多样性格局,该研究为马蹄荷群落的精细化经营和多样性保护提供了实证依据。

关键词: 马蹄荷, α多样性, β多样性, 指示种, 冗余分析

Abstract:

This study systematically evaluated the diversity patterns and key drivers of Exbucklandia populnea-dominated forest communities across major distribution regions such as Yunnan, Guangxi, and Guizhou, China. Specifically, we assessed the effects of stand origin(natural vs. plantation), stand age, understory tending intensity, and annual precipitation on species composition, as well as on alpha(α) and beta(β) diversity. α-diversity was evaluated using Simpson’s and Shannon-Wiener indices, while β-diversity patterns were analyzed through non-metric multidimensional scaling(NMDS), UPGMA clustering, and indicator species analysis. Redundancy analysis(RDA) with variation partitioning was used to quantify the proportion of explained variation of each factor to species richness and diversity across vegetation strata. The results showed that untended old-growth natural stands exhibited significantly higher richness and diversity than plantations(P<0.05). NMDS and UPGMA clearly distinguished natural from plantation stands(P<0.001), with 14, 4, and 1 indicator species identified in the three natural stands, respectively, while no indicator species were found in plantations. RDA further revealed strong positive effects of natural origin and stand age, and negative effects of understory tending intensity and precipitation, on species richness and diversity. Overall, geographic location, stand origin, stand age, and management practices jointly shaped the α- and β-diversity patterns of E. populnea communities, providing empirical support for refined forest management and biodiversity conservation.

Key words: Exbucklandia populnea, alpha diversity, beta diversity, indicator species, redundancy analysis

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