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林业科学 ›› 2026, Vol. 62 ›› Issue (3): 111-121.doi: 10.11707/j.1001-7488.LYKX20250174

• 研究论文 • 上一篇    下一篇

基于林分状态特征的次生林发育阶段划分方法——以锐齿槲栎次生林为例

杜月伟1,萨日娜1,金海炎2,胡艳波1,张弓乔1,刘文桢2,赵中华1,*()   

  1. 1. 林木资源高效生产全国重点实验室 国家林业和草原局林木培育重点实验室 中国林业科学研究院林业研究所 北京 100091
    2. 甘肃省小陇山林业试验局林业科学研究所 甘肃省栎类次生林生态系统重点实验室 天水 741022
  • 收稿日期:2025-03-26 修回日期:2025-06-30 出版日期:2026-03-15 发布日期:2026-03-12
  • 通讯作者: 赵中华 E-mail:zzhwl@caf.ac.cn
  • 基金资助:
    国家重点研发计划(2022YFD2200503);国家自然科学基金面上项目(32171780)。

Method for Dividing the Development Stages of Secondary Forests Based on Stand State Characteristics: a Case Study of Quercus aliena var. acuteserrata Secondary Forest

Yuewei Du1, Sarina1,Haiyan Jin2,Yanbo Hu1,Gongqiao Zhang1,Wenzhen Liu2,Zhonghua Zhao1,*()   

  1. 1. State Key Laboratory of Efficient Production of Forest Resources Key Laboratory of Tree Breeding and Cultivation of National Forestry and Grassland Administration Research Institute of Forestry, Chinese Academy of Forestry Beijing 100091
    2. Key Laboratory of Oak Secondary Forest Ecosystem of Gansu Province Xiaolongshan Research Institute of Forestry in Gansu Province Tianshui 741022
  • Received:2025-03-26 Revised:2025-06-30 Online:2026-03-15 Published:2026-03-12
  • Contact: Zhonghua Zhao E-mail:zzhwl@caf.ac.cn

摘要:

目的: 针对次生林发育阶段划分指标零散、阈值模糊的问题,构建基于林分状态特征的定量化划分方法,探讨发育阶段划分关键指标综合阈值,为次生林修复和全周期可持续经营提供科学依据。方法: 以甘肃小陇山林区不同类型锐齿槲栎次生林为研究对象,选取15个表征林分状态特征的指标,采用系统聚类法对不同类型锐齿槲栎次生林进行聚类,通过Kruskal-Wallis非参数检验筛选影响锐齿槲栎次生林聚类的因子,构建发育阶段划分指标体系;应用层次分析法(AHP)、熵权法(EWM)等确定关键指标综合权重,并结合拉格朗日乘数法计算综合值,给出基于林分状态特征的次生林发育阶段。结果: 1) 基于林分状态特征,采用系统聚类法(以均值距离为度量)将15块样地划分为4个类别,Kruskal-Wallis非参数检验显示,更新等级、蓄积量、林分直径分布q值、平均树高、建群种优势度、角尺度、混交度、Shannon-Wiener指数、Margalef指数、Simpson指数和Pielou指数达到统计学显著水平(P<0.05);2) 选择蓄积量、林分直径分布q值、平均树高、建群种优势度、角尺度、混交度、Shannon-Wiener指数、Margalef指数和更新等级9个指标构成次生林发育阶段划分指标体系,其综合权重分别为17.69%、8.76%、7.09%、14.07%、10.61%、10.75%、10.81%、14.33%和5.89%;基于林分状态特征的次生林发育阶段可划分为更新期(林隙期、郁闭期)、分化期、建成期和稳定期;3) 采用该方法对15块锐齿槲栎次生林样地进行发育阶段划分,2块样地处于更新期、8块样地处于分化期、3块样地处于建成期、2块样地处于稳定期。结论: 影响次生林发育阶段划分的关键因素是蓄积量、林分直径分布q值、平均树高、建群种优势度、角尺度、混交度、多样性指数和更新等级;基于林分状态特征可将次生林划分为4个发育阶段,该方法可为锐齿槲栎次生林的发育阶段划分及其精准经营提供理论依据。

关键词: 林分状态, 次生林, 发育阶段, 划分方法, 锐齿槲栎

Abstract:

Objective: In response to the problem of scattered indicators and fuzzy thresholds for dividing the development stages of secondary forests, a quantitative division method based on stand state characteristics was constructed to explore the comprehensive thresholds of key indicators for development stage division, providing more scientific support for precise forest management throughout the entire cycle. Method: Different types of Quercus aliena var. acuteserrata secondary forests in Xiaolongshan forest area of Gansu were taken as the research object, and 15 indicators expressing stand state characteristics were selected. The systematic clustering method was used to cluster the different types of Q. aliena var. acuteserrata secondary forests. The Kruskal-Wallis non-parametric tests were used to screen the factors affecting the clustering of Q. aliena var. acuteserrata secondary forests, and a development stage division indicator system was constructed. The analytic hierarchy process (AHP) and entropy weight method (EWM) were used to determine the comprehensive weights of key indicators, and combining with Lagrange multiplier method to calculate the comprehensive values, and the development stages of secondary forests based on stand state characteristics were given. Result: 1) Based on stand characteristics, 15 sample plots were classified into four types via hierarchical cluster method (measured with average linkage), and subjected to non-parametric tests. Among them, regeneration level, stock volume, q-value of stand diameter distribution, average tree height, dominance of group species, uniform angle index, mingling, Shannon-Wiener index, Margalef index, Simpson index and Pielou index reached statistically significant levels (P<0.05). 2) Nine indicators including stock volume, q-value of stand diameter distribution, average tree height, dominance of group species, uniform angle index, mingling, and Shannon-Wiener index were selected. The Margalef index and regeneration level formed a classification index system for secondary forest development stages. Their comprehensive weights were 17.69%, 8.76%, 7.09%, 14.07%, 10.61%, 10.75%, 10.81%, 14.33% and 5.89%, respectively. Based on the stand state characteristics, the development stage of secondary forests was able to be divided into four stages, namely, regeneration period (gap period, canopy period), differentiation period, establishment period and stable period. 3) This method was used to divide the development stages of 15 secondary forests of Q. aliena var. acuteserrata, with two stands were in the regeneration period, eight stands were in the differentiation period, three stands were in the establishment period and two stands were in the stable period. Conclusion: The key factors affecting the division of secondary forest development stages are the stock volume, q-value of stand diameter distribution, average tree height, dominance of group species, uniform angle index, mingling, diversity index and regeneration level. Based on the stand state characteristics, the secondary forests can be divided into four development stages. This method can provide a theoretical basis for the division of development stages and precise management of secondary forests of Q. aliena var. acuteserrata.

Key words: stand state, secondary forest, developmental stage, division method, Quercus aliena var. acuteserrata

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