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    纪文文, 王立海, 时小龙, 许明贤, 郝泉龄, 张广晖, 孟庆凯, 侯胜铭. 基于树木雷达的小兴安岭典型树种粗根分布及其影响因素研究[J]. 北京林业大学学报, 2020, 42(5): 33-41. DOI: 10.12171/j.1000-1522.20190285
    引用本文: 纪文文, 王立海, 时小龙, 许明贤, 郝泉龄, 张广晖, 孟庆凯, 侯胜铭. 基于树木雷达的小兴安岭典型树种粗根分布及其影响因素研究[J]. 北京林业大学学报, 2020, 42(5): 33-41. DOI: 10.12171/j.1000-1522.20190285
    Ji Wenwen, Wang Lihai, Shi Xiaolong, Xu Mingxian, Hao Quanling, Zhang Guanghui, Meng Qingkai, Hou Shengming. Coarse root distribution and its influencing factors of typical species in Lesser Xing’an Range based on tree radar unit[J]. Journal of Beijing Forestry University, 2020, 42(5): 33-41. DOI: 10.12171/j.1000-1522.20190285
    Citation: Ji Wenwen, Wang Lihai, Shi Xiaolong, Xu Mingxian, Hao Quanling, Zhang Guanghui, Meng Qingkai, Hou Shengming. Coarse root distribution and its influencing factors of typical species in Lesser Xing’an Range based on tree radar unit[J]. Journal of Beijing Forestry University, 2020, 42(5): 33-41. DOI: 10.12171/j.1000-1522.20190285

    基于树木雷达的小兴安岭典型树种粗根分布及其影响因素研究

    Coarse root distribution and its influencing factors of typical species in Lesser Xing’an Range based on tree radar unit

    • 摘要:
      目的  探究小兴安岭典型树种粗根分布规律及其影响因素,为小兴安岭树木良好生长提供科学依据和数据支撑。
      方法  以红松、落叶松、红皮云杉、樟子松为研究对象,在凉水实验林场选取了8个样地进行试验。以样木为圆心,采用树木雷达扫描以0.5、1、1.5、2 m为半径的圆周上的根系,采用环刀法和取土样法测定土壤理化性质,并测量树高、胸径、冠幅等树木因子,分析小兴安岭树木粗根分布状况,并对粗根密度与树木因子及土壤因子指标进行相关性分析。
      结果  (1)小兴安岭4个典型树种在水平方向粗根密度随着与树干距离的增加而减少;在垂直方向上,随着土壤深度的增加,红松和落叶松粗根密度逐渐减少,红皮云杉和樟子松粗根密度先增加后减少。红松、落叶松、红皮云杉、樟子松分别有82.1%、82.0%、89.6%、67.6%的粗根分布在0 ~ 40 cm土层深度。(2)树木粗根密度与树高、胸径、冠幅呈显著正相关关系(P < 0.05),与树木平均阻力值无显著相关关系(P > 0.05)。(3)树木粗根密度与土壤含水量、饱和持水量、毛管持水量呈显著正相关关系(P < 0.05),与土壤密度呈显著负相关关系(P < 0.05),与毛管持水量相关程度最高(r = 0.538,P = 0.012)。树木粗根密度与土壤有机质、全氮、全磷、水解氮含量呈显著正相关关系(P < 0.05),与全氮含量相关程度最高(r = 0.646,P = 0.002)。
      结论  研究结果表明树木因子和土壤因子均对小兴安岭4个典型树种粗根分布产生不同程度影响,树木粗根分布不仅与自身特性有关,还与其生存环境有关,而与树木材质状况无关。

       

      Abstract:
      Objective  This paper aims to study the distribution and its influencing factors of coarse roots of typical tree species, and provide scientific basis and data support for the good growth of trees in Lesser Xing’an Range of northeastern China.
      Method  Taking Pinus koraiensis, Larix gmelinii, Picea koraiensis and Pinus sylvestris as the research objects, 8 sample plots were selected for testing in the Liangshui Experimental Forest Farm. Taking the sample tree as the center, using the tree radar unit to scan the coarse root on the circumference of 0.5, 1, 1.5, 2 m radius. The soil physical and chemical properties were determined by cutting ring method and soil sample method. The tree height, DBH and crown width were measured. The distribution of coarse root in Lesser Xing’an Range was analyzed. The correlation between the density of coarse root and tree and soil factors was analyzed.
      Result  (1) In the horizontal direction, the coarse root density of four typical tree species decreased with the increase of distance from the trunk. In the vertical direction, with the increase of soil depth, the coarse root density of Pinus koraiensis and Larix gmelini decreased gradually, while that of Picea koraiensis and Pinus sylvestris increased first and then decreased. There were 82.1%, 82.0%, 89.6% and 67.6% coarse roots for Pinus koraiensis, Larix gmelini, Picea koraiensis and Pinus sylvestris distributing in the 0−40 cm depth of soil, respectively. (2) There was a significant positive correlation (P < 0.05) between the coarse root density and tree height, DBH and crown width, and no significant correlation with tree average resistance value (P > 0.05). (3) The coarse root density of trees was significantly positively correlated (P < 0.05) with soil moisture content, saturated water-retaining capacity, and capillary water capacity. The coarse root density was significantly negatively correlated with soil bulk density (P < 0.05) and had the highest correlation with capillary water capacity (r = 0.538, P = 0.012). The coarse root density was significantly positively correlated with the content of soil organic matter, total nitrogen, total phosphorus and hydrolyzed nitrogen (P < 0.05), and had the highest correlation with total nitrogen content (r = 0.646, P = 0.002).
      Conclusion  The results show that both tree and soil factors have different effects on the coarse root distribution of four typical tree species in the Lesser Xing’an Range of northeastern China. The distribution of coarse roots is not only related to their own characteristics, but also related to their living environment, and not related to the material quality of trees.

       

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