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    徐德鹏, 许芳泽, 孙海龙, 陈美晴, 向玮. 天然混交林林分发育阶段划分方法的比较[J]. 北京林业大学学报, 2024, 46(7): 139-152. DOI: 10.12171/j.1000-1522.20230174
    引用本文: 徐德鹏, 许芳泽, 孙海龙, 陈美晴, 向玮. 天然混交林林分发育阶段划分方法的比较[J]. 北京林业大学学报, 2024, 46(7): 139-152. DOI: 10.12171/j.1000-1522.20230174
    Xu Depeng, Xu Fangze, Sun Hailong, Chen Meiqing, Xiang Wei. Comparison of methods for dividing developmental stages of natural mixed forest stands[J]. Journal of Beijing Forestry University, 2024, 46(7): 139-152. DOI: 10.12171/j.1000-1522.20230174
    Citation: Xu Depeng, Xu Fangze, Sun Hailong, Chen Meiqing, Xiang Wei. Comparison of methods for dividing developmental stages of natural mixed forest stands[J]. Journal of Beijing Forestry University, 2024, 46(7): 139-152. DOI: 10.12171/j.1000-1522.20230174

    天然混交林林分发育阶段划分方法的比较

    Comparison of methods for dividing developmental stages of natural mixed forest stands

    • 摘要:
      目的 以长白山云冷杉针叶混交林为例,比较林分不同发育阶段划分的方法,确定最适宜长白山云冷杉针叶混交林发育阶段划分的方法,以便有针对性地制定不同发育阶段的森林经营策略,为天然林发育阶段的科学划分提供方法依据。
      方法 以吉林省汪清林业局金沟岭林场天然云冷杉针叶混交林为研究对象,共收集2 589个样地样本,采用种间联结−最优分割法(A)、林相特征判别法(B)、TWINSPAN双向指示物种分析法(C)、MRT多元回归树法(D)和基于TWINSPAN的判别分析法(E)5种方法,对云冷杉针叶混交林发育阶段进行划分。通过多重比较检验,验证不同发育阶段间是否存在显著差异,并使用吻合系数来评估不同方法划分结果间的一致性。最后,从树种组成和林分特征(包括样地的平均胸径、平均树高、公顷蓄积量、公顷株数、公顷生物量、公顷断面积、针阔比、物种多样性和径级大小多样性9个指标)方面,对5种方法的划分结果进行比较分析。
      结果 多重比较的结果显示,用于描述林分特征的9个指标在不同发育阶段间基本存在显著差异,这表示结果较为可靠。方法D和方法E的吻合系数较高,表示这两种方法的划分结果较为一致;而方法B与其他方法的吻合性均较低。从林分的发育趋势来看,5种方法的划分结果大致相同。随着林分的逐渐发育,林分特征指标普遍增大,多样性指标降低,树种组成趋于简单。主要区别体现在公顷株数和树种组成指标,并且在不同方法的划分结果中,各个阶段之间指标的差异程度和每个阶段的样本量也有所不同。方法E的划分结果更符合林分的生长发育规律。具体来说,第1阶段云冷杉针叶混交林形成期,林分迅速生长;第2阶段林木间竞争加强期,个体显著分化;第3阶段林分发展为近自然林状态,即达到森林经营的目标状态。
      结论 基于TWINSPAN的判别分析法能更好地划分林分的发育阶段,并将长白山云冷杉针叶混交林的发育过程划分为建群阶段—竞争阶段—近自然林阶段,为森林的科学经营提供了重要理论依据。

       

      Abstract:
      Objective Taking the Changbai Mountain spruce coniferous mixed forest as an example, this study compared the methods for dividing different stages of forest development and determined the most suitable method for dividing the development stages of Changbai Mountain spruce coniferous mixed forest, aiming to develop targeted forest management strategies for different stages of development and provide a methodological basis for the scientific division of natural forest development stages.
      Method A total of 2 589 plot samples were divided by interspecies linkage-optimal segmentation method (A), forest facies characteristic discrimination method (B), TWINSPAN bidirectional indicator species analysis method (C), MRT multiple regression tree method (D), and TWINSPAN-based discriminant analysis method (E) of Jingouling Forest Farm of Wangqing Forestry Bureau of Jilin Province, northeastern China. Multiple comparisons were used to verify whether there were significant differences between different stages of stand development, and the anastomosis coefficient was used to compare the anastomosis between the classification results of different methods, and finally the classification results of five methods were compared from the aspects of tree species composition and stand characteristics.
      Result The results of multiple comparisons showed that the nine numerical indicators used to describe the characteristics of forest stands in this paper basically had significant differences between different stages of stand development, indicating that the results were more reliable. Method D and E had the highest anastomosis coefficient, indicating that the division results were more consistent, while method B had a low agreement with other methods. From the perspective of development trend of the stand, the results of each method are roughly the same. As the forest gradually developed, the forest characteristic indicators increased, the diversity indicators decreased, and the tree species composition tended to be simpler. The differences were mainly reflected in the number of hectares and tree species composition indicators, and in the division results of different methods, the degree of difference between the indicators and the sample size of each stage were also different. From the specific analysis of various aspects, the division results of method E were more in line with the growth and development law of stands. In the first stage, a mixed spruce and fir coniferous forest was formed, and the forest grew rapidly. In the second stage, competition between trees intensified, and individual differentiation was significant. In the third stage, the forest was classified as a near natural forest, which was the target state of forest management.
      Conclusion The discriminant analysis method based on TWINSPAN can better divide the developmental stage of forest stands, and divide the development process of Changbai Mountain spruce-fir-coniferous mixed forest into group establishment stage, competition stage and near-natural forest stage, which provides an important theoretical basis for forest scientific management.

       

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