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应用生态学报 ›› 2025, Vol. 36 ›› Issue (8): 2279-2286.doi: 10.13287/j.1001-9332.202508.001

• 研究论文 • 上一篇    下一篇

珠海斗门竹洲岛水松人工林种群结构与动态特征

胡文强1, 朱晋晟1, 聂芳1, 李樨2*   

  1. 1深圳市林智生态研究中心有限公司, 广东深圳 518110;
    2广东生态工程职业学院, 广州 510520
  • 收稿日期:2025-04-14 接受日期:2025-05-22 出版日期:2025-08-18 发布日期:2026-02-18
  • 通讯作者: *E-mail: 670324446@qq.com
  • 作者简介:胡文强, 男, 1987年生, 林业高级工程师。主要从事自然保护地规划设计研究。E-mail: wenqiang_hu@163.com
  • 基金资助:
    2020年度广东省普通高校青年创新人才项目(2020WQNCX152)

Population structure and dynamics of Glyptostrobus pensilis plantation in Zhuzhou Island of Doumen, Zhuhai

HU Wenqiang1, ZHU Jinsheng1, NIE Fang1, LI Xi2*   

  1. 1 Shenzhen Linzhi Ecological Research Center Co., Ltd., Shenzhen 518110, China;
    2 Guangdong Eco-Engineering Polytechnic, Guangzhou 510520, China
  • Received:2025-04-14 Accepted:2025-05-22 Online:2025-08-18 Published:2026-02-18

摘要: 水松是我国特有的单种属孑遗树种,野外种群个体稀少,珠海斗门竹洲岛水松林自然保护区分布了世界最大面积的水松人工林,但目前水松人工林存在一定程度的衰退。为明确水松人工林种群的生存现状及动态特征,本研究构建年龄结构图谱,编制静态生命表,利用生存函数分析及时间序列预测等方法,分析了水松人工林的种群动态特征及其驱动机制,为水松种群的保护与管理提供科学依据。结果表明: 水松人工林种群结构为“钟型”,幼龄植株数量和老龄植株数量较少,个体数最多的龄级为第Ⅴ龄级(20 cm≤DBH<25 cm),林下天然更新匮乏。静态生命表显示,死亡率与消失率呈先增加后降低的趋势,峰值分别出现在第Ⅵ龄级(25 cm≤DBH<30 cm)和第Ⅹ龄级(DBH≥45 cm),生命期望随龄级增加而递减,存活曲线符合Deevey-Ⅱ型。谱分析表明,种群动态具有显著的周期性波动特征,受基波A1主导和第3谐波驱动,中龄级(第Ⅴ龄级,20 cm≤DBH<25 cm)是关键波动阶段;时间序列预测显示,在第Ⅱ~Ⅳ龄级周期内,种群规模呈现增长趋势,在第Ⅴ龄级达到峰值,Ⅵ~Ⅷ龄级后种群数量持续下降。水松种群虽在短期内维持增长趋势,但幼龄补充不足、环境随机干扰及生理衰老导致其长期存续面临风险。建议通过人工繁育、生境修复及外来物种管控等措施提升水松种群恢复力。

关键词: 水松, 种群结构, 静态生命表, 存活曲线, 谱分析, 时间序列预测

Abstract: Glyptostrobus pensilis, a monotypic relict tree species endemic to China, has extremely sparse populations in the wild. The world’s largest natural G. pensilis forest is distributed in the Zhuzhou Island Glyptostrobus Forest Nature Reserve, Zhuhai, Guangdong Province. However, artificial plantations of G. pensilis currently exhibit significant decline. To clarify the survival status and dynamic characteristics of G. pensilis populations, we constructed age structure diagrams, compiled static life tables, and applied survival function analysis and time series prediction to analyze population dynamics and driving mechanisms, aiming to provide a scientific basis for conservation and management. The results showed that the artificial G. pensilis population exhibited a “bell-shaped” structure, with fewer juvenile and elderly individuals, and the highest number observed in age class V (20 cm≤DBH<25 cm). Understory natural regeneration was severely limited. The static life table indicated that mortality and disa-ppearance rates initially increased and then decreased, peaking at age class Ⅵ (25 cm≤DBH<30 cm) and age class Ⅹ (DBH≥45 cm), respectively. Life expectancy declined with increasing age class, and the survival curve aligned with the Deevey-Ⅱ type. Spectral analysis demonstrated significant periodic fluctuations in population dynamics, dominated by the fundamental wave A1 and driven by the third harmonic, with age class V (20 cm≤DBH<25 cm) identified as the critical fluctuation phase. Time series prediction showed that population size increased during age classes Ⅱ-Ⅳ, reaching maximum size at class V, followed by a continuous decline from age classes Ⅵ-Ⅷ onward. Although the population temporarily maintained growth, long-term survival risks arose from insufficient juvenile recruitment, environmental stochasticity, and physiological senescence. To enhance population resilience, the following conservation strategies are recommended, inlcuding artificial propagation, habitat restoration, and invasive species control.

Key words: Glyptostrobus pensilis, population structure, static life table, survival curve, spectral analysis, time series prediction