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林业科学 ›› 2025, Vol. 61 ›› Issue (2): 85-92.doi: 10.11707/j.1001-7488.LYKX20240201

• 研究论文 • 上一篇    下一篇

长白山天然针阔混交林优势高估计方法及立地质量评价

吴璧芸1,雷相东1,*(),何潇1,李玉堂2   

  1. 1. 林木资源高效生产全国重点实验室 中国林业科学研究院资源信息研究所 北京 100091
    2. 吉林省林业调查规划院 长春 130022
  • 收稿日期:2024-04-17 出版日期:2025-02-25 发布日期:2025-03-03
  • 通讯作者: 雷相东 E-mail:xdlei@ifrit.ac.cn
  • 基金资助:
    国家自然科学基金项目(32301588)。

Stand Dominant Height Estimation Methods and Site Quality Assessment for Natural Mixed Conifer-Broadleaved Forests in Changbai Mountains

Biyun Wu1,Xiangdong Lei1,*(),Xiao He1,Yutang Li2   

  1. 1. State Key Laboratory of Efficient Production of Forest Resources Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry Beijing 100091
    2. Jilin Forestry Inventory and Planning Institute Changchun 130022
  • Received:2024-04-17 Online:2025-02-25 Published:2025-03-03
  • Contact: Xiangdong Lei E-mail:xdlei@ifrit.ac.cn

摘要:

目的: 以长白山天然针阔混交林为研究对象,提出4种林分优势高估计方法及相应的立地形计算方法,比较不同方法计算优势高的差异,并分析优势高与林分因子的关系,以确定混交林优势高的合理计算方法和立地形评价立地质量的适用性。方法: 对吉林省八家子林业局127块针阔混交林固定样地进行调查,每块样地实测6株优势木(3株针叶树、3株阔叶树)的树高、胸径和年龄。根据加权方法不同,分4种方法估计林分优势高,分别为不分树种的算术平均优势高(HT1)、考虑针阔叶断面积加权的优势高(HT2)、仅考虑优势木树种断面积加权的优势高(HT3)和考虑样地全部树种断面积加权的优势高(HT4),并基于4种方法计算对应的林分优势木平均胸径(DT1DT2DT3DT4)和林分优势木平均年龄(AT1AT2AT3AT4)。采用相关分析和成对t检验等方法比较4种优势高的差异,分析4种优势高(HT1HT2HT3HT4)与林分密度、生产力、林分优势木平均胸径和年龄的关系。选取幂函数方程、Hossfeld Ⅱ 方程、理查兹方程作为林分优势木平均树高-胸径关系的候选模型,通过模型评价指标确定最终模型。将优势木分布频数最多的胸径取整后确定基准胸径,代入林分优势木平均树高-胸径关系模型得到立地形。比较不同优势高对应的立地形与林分因子的关系,确定最优的天然针阔混交林优势高估计方法和立地形计算方法。结果: 4种方法估计的优势高之间均有显著相关性,其中HT1HT2HT3的优势高相关系数均达0.96以上,且无显著差异;HT4与其他3种优势高的相关性最低,且与其他3种优势高有显著差异。考虑样地全部树种断面积加权的优势高(HT4)与3种林分密度指标(林分断面积、林分密度、可加林分密度指数)均不相关。HT4与其对应的DT4AT4相关性最高,相关系数分别为0.815、0.657;HT3与其对应的DT3AT3相关性次之,相关系数分别为0.420、0.227。通过模型评价指标确定HT3-DT3HT4-DT4的最佳模型分别为幂函数和理查兹方程,2个模型对应的调整决定系数(Ra2)分别为0.16、0.68。根据样地中优势木分布频数最多的胸径,取整后确定基准胸径为30 cm,通过导向曲线确定其对应的立地形SF,T3SF,T4。2种立地形中,仅SF,T4与可加林分密度指数不相关,但SF,T3SF,T4与林分生产力均显著相关(相关系数分别为0.224、0.264)。结论: 考虑样地全部树种断面积加权的优势高(HT4)表现最佳,由该优势高计算的立地形(SF,T4)与林分生产力显著相关,可应用于天然针阔混交林立地质量评价。

关键词: 林分优势高, 立地形, 天然针阔混交林, 立地生产力, 立地质量评价

Abstract:

Objective: Taking natural mixed conifer-broadleaved forests in Changbai Mountains as the research object, this study proposes four estimation methods of stand dominant height and the corresponding calculation methods of site form (SF), compares the differences among various dominant height estimation methods, and analyzes the relationship between dominant height and stand factors in order to determine a reasonable estimation method for stand dominant height in mixed forests and to evaluate the applicability of site form for assessing site quality. Method: Totally 127 sample plots of natural mixed conifer-broadleaved forests were investigated and analyzed at Bajiazi Forestry Bureau of Jilin Province. The height, diameter at breast height (DBH) and age of six dominant trees (three conifers and three broadleaves) were measured in each sample plot. Dominant heights were estimated using four different methods based on weighted averages, and these included the unweighted arithmetic mean height of all dominant trees (HT1), the basal area-weighted mean height considering both conifer and broadleaf trees (HT2), the basal area-weighted mean height considering only dominant tree species (HT3), and the basal area-weighted mean height considering all species within a plot (HT4). The corresponding mean DBH of dominant trees (DT1, DT2, DT3, DT4) and the mean age of dominant trees (AT1, AT2, AT3, AT4) for a plot were also calculated using four different methods. Through correlation analysis and paired t-tests, differences among the four methods of estimating dominant height were compared. The study further analyzed the relationships between these dominant heights (HT1, HT2, HT3, HT4) and stand density, productivity, mean DBH of dominant trees, and mean age of dominant trees. Power function, Hossfeld II, and Richards’ equations were selected as candidate models describing the mean height-DBH relationship of stand dominant trees. The final model was determined according to model evaluation indices. The reference diameter was the rounded value with most frequency of diameter distribution of dominant trees, and the site form was derivated using the height-diameter model and the reference diameter. By comparing the relationships between the site forms corresponding to different dominant heights and stand factors, the optimal methods for estimating dominant height and calculating site form in natural mixed conifer-broadleaved forests were determined. Result: Significant correlations were found among the four methods of dominant height estimation. HT1, HT2, and HT3 showed high correlation coefficients above 0.96, with no significant differences. However, HT4 demonstrated the lowest correlation with the other three methods and there was a significant difference between HT4 and the other three methods. The basal area-weighted mean height considering all tree species within a plot HT4 showed no significant correlation with three stand density indicators (stand basal area, stem number, additive stand density index). Furthermore, HT4 and its corresponding diameter (DT4) and age (AT4) showed the highest correlation coefficients of 0.815 and 0.657, respectively. The correlation coefficients between HT3 and its corresponding DT3 and AT3 were 0.420 and 0.227, respectively. The models for HT3-DT3 and HT4-DT4 were established using Power and Richards equations, respectively, with adjusted determination coefficients (Ra2) of 0.16 and 0.68. Based on the most frequent DBH of dominant trees in the sample plots, the reference DBH was set as 30 cm after rounding. The corresponding site forms, SF,T3 and SF,T4, were then determined using guide curves. Among the two site forms, only SF,T4 showed no correlations with additive stand density index, while both SF,T3 and SF,T4 were significantly related to stand productivity, with correlation coefficients of 0.224 and 0.264, respectively. Conclusion: The basal area-weighted mean height considering all tree species within a plot (HT4) performed the best, and the site form (SF,T4) calculated from the dominant height showed significant correlations with site productivity, making it suitable for assessing site quality in natural mixed conifer-broadleaved forests.

Key words: stand dominant height, site form, natural mixed conifer-broadleaved forest, site productivity, site quality assessment

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