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    李昊岩, LiuGuoling, 张春雨, 叶尔江·拜克吐尔汉, 程艳霞, 赵秀海. 吉林蛟河不同树种含水量分配特征与预测模型[J]. 北京林业大学学报. DOI: 10.12171/j.1000-1522.20230248
    引用本文: 李昊岩, LiuGuoling, 张春雨, 叶尔江·拜克吐尔汉, 程艳霞, 赵秀海. 吉林蛟河不同树种含水量分配特征与预测模型[J]. 北京林业大学学报. DOI: 10.12171/j.1000-1522.20230248
    Li Haoyan, Liu Guoling, Zhang Chunyu, Yeerjiang Baiketuerhan, Cheng Yanxia, Zhao Xiuhai. Allocation characteristics and prediction models of water content among different tree species in Jiaohe, Jilin Province of northeastern China[J]. Journal of Beijing Forestry University. DOI: 10.12171/j.1000-1522.20230248
    Citation: Li Haoyan, Liu Guoling, Zhang Chunyu, Yeerjiang Baiketuerhan, Cheng Yanxia, Zhao Xiuhai. Allocation characteristics and prediction models of water content among different tree species in Jiaohe, Jilin Province of northeastern China[J]. Journal of Beijing Forestry University. DOI: 10.12171/j.1000-1522.20230248

    吉林蛟河不同树种含水量分配特征与预测模型

    Allocation characteristics and prediction models of water content among different tree species in Jiaohe, Jilin Province of northeastern China

    • 摘要:
      目的 分析吉林蛟河12个乔木树种整株及各组分含水率和含水量分配特征,构建并筛选最优树种含水量预测模型,探讨不同树种含水量随森林发育阶段的变化,为该地区森林树种含水量估算提供模型参考。
      方法 采用单因素方差分析,对比12个树种不同器官含水率和含水量占比的差异,并通过多重比较法进行显著性检验。应用肯德尔秩相关分析法,以胸径(D)、树高(H)、D2H为模型自变量,整株及各器官含水量为因变量,构建多种形式的含水量预测模型,并通过模型决定系数、参数显著性以及赤池信息准则筛选最优模型。结合林地信息,计算不同发育阶段树种的含水量。
      结果 (1)12个树种器官平均含水率顺序为树叶 > 树根 > 树枝 > 树干。除千金榆外,其余树种在各器官含水量分配上普遍呈现树干 > 树根 > 树枝 > 树叶的趋势。随胸径增大,树枝含水量占比增大,而树干与树叶的含水量占比减小,树根含水量变化不显著。(2)12个树种的含水量预测模型均为对数函数形式,不同树种器官的最优模型自变量各异。(3)随着森林演替,单位面积乔木的含水量和生物量均增加。
      结论 本研究揭示了含水量配比和含水率在器官间与物种间存在显著差异,其中含水量与树高、胸径之间的种间特异性,且不同器官含水量配比随胸径增长呈现不同变化趋势。所筛选的含水量最优模型均为对数函数形式,其中单树种含水量预测模型具有较高的拟合精度,而全树种模型则更适用于对区域性含水量估算。本文阐明了吉林蛟河树木水分状况在不同时空尺度上的变化规律,有助于加深对生态系统动态过程的理解,并为该地区森林树种含水量的精确估算提供了可靠的模型参考。

       

      Abstract:
      Objective This paper analyzes the distribution characteristics of water content of 12 tree species in northeastern China and species-specific allometric equations of 12 tree species were established, in order to explore the differences in water content characteristics among different tree species with forest developing, as well as providing model reference for the estimation of water content in this area.
      Method One-way ANOVA and multiple comparison methods were used to contrast differences in water content and its proportion among organs across the 12 tree species. Utilizing Kendall’s rank correlation analysis to identify DBH (D), tree height (H), and D2H as predictor variables in water content prediction models with whole-tree and organ-specific water content serving as response variables. Different forms of water content prediction models were constructed based on these relationships. Optimal models were selected through evaluation using the coefficient of determination, parameter significance level, and Akaike’s information criterion. Integrating stand information, this approach was employed to calculate the water content of trees across varied developmental stages.
      Result (1) Overall, average water content was highest in leaves, followed by roots, branches, and stems. Except for Carpinus cordata, all other species showed a consistent pattern in water allocation across organs: stem > root > branch > leaf. As D increased, the proportion of branch water content increased, while the proportion of stem and leaf water content decreased, with no significant changes in root water content. (2) The water content prediction models for all 12 tree species were best represented by logarithmic functions. The optimal independent variables for organ moisture content models of different tree species were different. (3) With forest succession, both water content and biomass per unit area increased.
      Conclusion The study highlights significant differences in water content and distribution among organs and tree species, with species-specific relationship between water content and D/H. The percentage of water content of different organs shows different trends with the increase of breast diameter. The water content prediction models for all 12 tree species were best represented by logarithmic functions. The single-species models have higher fitting accuracy, while the multi-species model has broader application. This research elucidates the spatiotemporal dynamics of water status in temperate-boreal tree species, contributing to a deeper understanding of ecosystem dynamics. It provides a scientific basis for accurate estimation of tree water content in the forest region of Jiaohe, Jilin Province of northeastern China.

       

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