植物生态学报 ›› 2022, Vol. 46 ›› Issue (6): 667-677.DOI: 10.17521/cjpe.2021.0498

• 研究论文 • 上一篇    下一篇

长白山阔叶红松林红松种群年龄结构与数量动态特征

张金峰1, 葛树森2, 梁金花2, 李俊清1,*()   

  1. 1北京林业大学森林资源生态系统过程北京市重点实验室, 北京 100083
    2吉林省林业调查规划院, 长春 130022
  • 收稿日期:2021-12-29 接受日期:2022-01-19 出版日期:2022-06-20 发布日期:2022-06-09
  • 通讯作者: 李俊清
  • 作者简介:*(lijq@bjfu.edu.cn)
  • 基金资助:
    国家科技基础资源调查项目(2019FY101602)

Population age structure and dynamics of Pinus koraiensis in a broadleaved Korean pine forest in Changbai Mountain, China

ZHANG Jin-Feng1, GE Shu-Sen2, LIANG Jin-Hua2, LI Jun-Qing1,*()   

  1. 1Beijing Key Laboratory for Forest Resources and Ecosystem Processes, Beijing Forestry University, Beijing 100083, China
    2Forest Inventory and Planning Institute of Jilin Province, Changchun 130022, China
  • Received:2021-12-29 Accepted:2022-01-19 Online:2022-06-20 Published:2022-06-09
  • Contact: LI Jun-Qing
  • Supported by:
    National Science and Technology Basic Resources Survey Project(2019FY101602)

摘要:

该研究以分布于长白山阔叶红松林内的红松(Pinus koraiensis)种群为对象, 通过编制种群静态生命表, 计算数量动态指数, 绘制存活曲线、死亡率曲线和消失率曲线, 应用4个生存函数并引入谱分析和时间序列预测模型, 分析红松种群年龄结构, 揭示其天然更新过程及未来发展趋势, 以期为野生红松种群的保护和恢复提供科学依据。结果显示: 红松种群数量变化具有阶段性, 幼龄(I-III龄级)和成龄(VII-X龄级)个体数量多, 中龄(IV-VI龄级)和老龄(XI-XIV龄级)个体数量少, 形成明显间断的两个优势年龄分布区。种群存活曲线趋近于Deevey-Ⅲ型, 表明幼龄个体死亡率高。忽略外部干扰时的总体数量动态变化指数大于>0, 表明红松种群为增长型; 考虑未来外部干扰时的种群动态变化指数趋近于0, 结合死亡率和消失率曲线呈现出连续先增后降的复杂动态变化趋势, 可知该种群受外界随机干扰时增长不明显。生存函数分析显示, 红松种群具有前期锐减、中期稳定、后期衰退的特点。谱分析表明红松种群天然更新呈周期性波动。未来2、3、4、5、6、7、8、9、10个龄级时间后, 红松幼、中龄个体数逐渐减少, 而成、老龄个体数量将逐渐增加。幼龄个体死亡率高、生存空间和资源条件有限, 老龄个体生理衰老明显是限制红松种群增长的主要原因。建议加强幼龄个体的抚育工作, 提高其存活率和生存质量; 保护和改善生存环境, 从而促进红松种群的自然更新和恢复。

关键词: 红松, 种群年龄结构, 静态生命表, 数量动态特征, 保护策略

Abstract:

Aims To provide a theoretical basis for the protection and restoration of broadleaved Korean pine forest in Changbai Mountain area, the population age structure and quantitative dynamics of Pinus koraiensis were investigated.

Methods We used field data to form the static life table, estimate the population quantitative indexes, and to fit the survival and mortality curves for identifying the population characteristics of P. koraiensis. We also used the survival functions and spectral analysis to explore its population age structure and to reveal natural regeneration processes and as well as future developmental trend.

Important findings Based on the distribution of diameter, the population of P. koraiensis could be sorted into 14 age classes and combined into four subpopulations, i.e., juvenile (I-III), middle-age (IV-VI), adult (VII-X) and old (XI-XIV) stages. By contrast, the number of individuals in population was higher in stages of young and adult and lower in middle and old stages. However, the survival curve of population was close to Deevey-III type, reflecting that the high mortality occurred in juvenile stage. In addition, external random interference was crucial for whole population dynamics. With and without such interference, the population of P. koraiensis become the constant type (Vpi was close to 0) and increasing type (Vpi > 0), respectively. Moreover, the survival function analysis showed that the number of individuals of this species was dramatically decreased in early stage, and then relatively stable in middle-age stage and declined again in late stage. Furthermore, spectral analysis for this population indicated that the pattern of natural regeneration exhibited periodic fluctuation along successional process. With population development, the number of young and middle-aged individuals would gradually decrease while the number of adult and old individuals would gradually increase. High mortality of young individuals, limitation of resources, and physiological aging of old trees seem likely to be the important factors that drove population dynamics in this species. We thus suggest that improving habitat condition from silvicultural way may enhance seedling or sapling survival rate and promote their growth, which may benefit the recovery of population for P. koraiensis in this area.

Key words: Pinus koraiensis, population age structure, static life table, quantitative dynamics characteristics, conservation strategy