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    陈莹, 董灵波, 刘兆刚. 帽儿山天然次生林主要林分类型最优树种组成[J]. 北京林业大学学报, 2019, 41(5): 118-126. DOI: 10.13332/j.1000-1522.20190013
    引用本文: 陈莹, 董灵波, 刘兆刚. 帽儿山天然次生林主要林分类型最优树种组成[J]. 北京林业大学学报, 2019, 41(5): 118-126. DOI: 10.13332/j.1000-1522.20190013
    Chen Ying, Dong Lingbo, Liu Zhaogang. Optimal species composition for the main forest types of secondary forest in Maoershan Mountain, northeastern China[J]. Journal of Beijing Forestry University, 2019, 41(5): 118-126. DOI: 10.13332/j.1000-1522.20190013
    Citation: Chen Ying, Dong Lingbo, Liu Zhaogang. Optimal species composition for the main forest types of secondary forest in Maoershan Mountain, northeastern China[J]. Journal of Beijing Forestry University, 2019, 41(5): 118-126. DOI: 10.13332/j.1000-1522.20190013

    帽儿山天然次生林主要林分类型最优树种组成

    Optimal species composition for the main forest types of secondary forest in Maoershan Mountain, northeastern China

    • 摘要:
      目的以帽儿山地区天然次生林为对象,通过对不同演替阶段林分特征状态的综合评价确定林分类型的最优树种组成,为构建该区合理的森林经营模式提供理论依据。
      方法以帽儿山实验林场2004和2016年共53块固定样地数据为基础,从林分结构特征、林分活力和树种多样性3个方面共选取12项指标:角尺度、大小比数、混交度、直径分布、林分密度、林分蓄积生长量、蓄积量、平均高、天然更新密度、林分潜在疏密度、Simpson多样性指数、Pielou均匀度指数,在熵值-AHP法基础上采用线性加权综合评价法探讨不同软硬阔混交比例对软阔混交林(硬软阔比:0:10、1:9、2:8、3:7)、软硬阔混交林(硬软阔比:4:6、5:5、6:4)和硬阔混交林(硬软阔比:7:3、8:2)林分结构的综合影响。
      结果3种林型中,除树种混交程度整体相对较高外(0.62 ~ 0.69),林木水平分布格局(0.53 ~ 0.56)、林木大小分化程度(0.47 ~ 0.51)、径阶分布q值(1.09 ~ 1.19)和更新数量(368 ~ 571 株/hm2)均相对较差;各项指标权重值最大为林分蓄积生长量(0.191),最小为大小比数(0.021);软阔混交林、软硬阔混交林、硬阔混交林3种林型中,综合评价值最大的硬软阔树种组成比例分别对应为2:8、6:4、8:2。
      结论帽儿山天然次生林的最优树种组成在不同林型内差异显著,软阔混交林、软硬阔混交林、硬阔混交林的最优树种组成比例分别对应为2硬8软、6硬4软、8硬2软,为该区阔叶次生林树种组成调整提供参考。

       

      Abstract:
      ObjectiveFocus on the natural secondary forest in Maoershan Mountain of northeastern China, this paper tries to find out the optimal tree species composition of different forest types at varied succession stages by comprehensive evaluation of stand characteristics, so as to provide a theoretical basis for the construction of a reasonable forest management model in this region.
      MethodBased on the datasets of 53 permanent sample plots in Maoershan Mountain in 2004 and 2016, a total of 12 indicators, namely uniform angle, neighborhood comparison, mingling degree, diameter distribution, stand density, stand volume growth, volume, mean height, natural regeneration density, stand potential density, Simpson diversity index and Pielou evenness index, which reflected three aspects of the forest characteristics (i.e., stand structure characteristics, stand vigor and tree species diversity), were selected to study the influence of different ratios of hard and soft wood in 3 different mixed forest types on forest structure, using the method of linear-weight comprehensive evaluation, based on effects of entropy-AHP method. One forest type was soft broadleaved mixed forest (the proportion of hard broadleaved trees in the stand was 0%, 10%, 20% and 30%), another was soft-hard broadleaved mixed forest (the proportion of hard broadleaved trees in the stand was 40%, 50% and 60%), and the last one was hard broadleaved mixed forest (the proportion of hard broadleaved trees in the stand was 70% and 80%).
      ResultAmong the 3 forest types, the overall mingling degree of mixed forest was relatively high (0.62−0.69), while the horizontal distribution pattern (0.53−0.56), size differentiation degree of forest trees (0.47−0.51), diameter distribution (q value: 1.09−1.19) and natural regeneration number (368−571 plant/ha) of stand were relatively poor. Stand volume growth showed a maximum weight (0.191) and neighborhood comparison showed a minimum weight (0.021). The proportion of hard broadleaved trees with the highest comprehensive evaluation value in the 3 forest types was 20%, 60% and 80%, respectively.
      ConclusionThe optimal tree species composition for the natural secondary forest in Maoershan Mountain differed significantly among different forest types. The optimal proportion of hard broadleaved trees for the 3 forest types (soft broadleaved mixed forest, soft-hard broadleaved mixed forest and hard broadleaved mixed forest) was 20%, 60% and 80%, respectively. The conclusion of this study can provide reference for the adjustment of tree species composition of broadleaved secondary forest in this region.

       

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