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林业科学 ›› 2021, Vol. 57 ›› Issue (10): 15-22.doi: 10.11707/j.1001-7488.20211002

• 论文与研究报告 • 上一篇    下一篇

不同密度水曲柳人工林细根生物量对邻近树木胸径和距离的响应

刘悦1,谢玲芝2,张彦东1,王政权1,谷加存1,*   

  1. 1. 东北林业大学林学院 森林生态系统可持续经营教育部重点实验室 哈尔滨 150040
    2. 广西壮族自治区速生丰产林基地管理站 南宁 530028
  • 收稿日期:2020-03-31 出版日期:2021-10-25 发布日期:2021-12-11
  • 通讯作者: 谷加存
  • 基金资助:
    国家重点研发计划项目(2017YFD0600605);中央高校基本科研业务费专项资金(2572020DR05)

Responses of Fine Root Biomass to Diameters of and Distances to the Neighboring Trees of Fraxinus mandschurica Plantation with Different Stocking Densities

Yue Liu1,Lingzhi Xie2,Yandong Zhang1,Zhengquan Wang1,Jiacun Gu1,*   

  1. 1. Key Laboratory of Sustainable Forest Ecosystem of Management of Ministry of Education School of Forestry, Northeast Forestry University Harbin 150040
    2. Management Station for Fast-Growing and High-Yield Plantation Base of Guangxi Zhuang Autonomous Region Nanning 530028
  • Received:2020-03-31 Online:2021-10-25 Published:2021-12-11
  • Contact: Jiacun Gu

摘要:

目的: 研究不同密度水曲柳人工林细根生物量对邻近树木胸径和距离的响应,为制定合理的水曲柳根系取样方案提供理论依据。方法: 在4种林分密度(Ⅰ:3 572株·hm-2,Ⅱ:3 128株·hm-2,Ⅲ:2 215株·hm-2,Ⅳ:1 468株·hm-2)的水曲柳人工林内,随机布点取样,测定0~10、10~20和20~30 cm土层吸收根(直径≤0.05 mm)和细根(直径≤2.0 mm)生物量及0~30 cm土层的吸收根总生物量和细根总生物量,并记录距取样点最近的1株和4株树的距离及胸径。采用线性回归分析,检验细根生物量与邻近树木距离和胸径的关系。结果: 0~30 cm土层吸收根和细根总生物量受林分密度影响显著,二者均在密度最小林分中最大;从林分密度Ⅰ~Ⅳ,吸收根占细根生物量的比例分别为61.6%、54.3%、52.9%和63.4%;在所有林分中,50%以上的细根和吸收根生物量分布在0~10 cm土层;在4种密度林分中,吸收根和细根总生物量与最近1株或4株树的距离均相关性不显著(P>0.05),仅有密度Ⅲ林分10~20 cm土层细根生物量与最近4株树的平均距离显著正相关(P < 0.05);与细根总生物量相比,0~30 cm土层吸收根总生物量与邻近树木胸径之间呈现出更普遍的相关,但相关性显著水平与林分密度有关;密度Ⅰ林分吸收根和细根生物量均与最近1株树胸径显著正相关(均R2>0.19),而密度Ⅱ林分吸收根和细根生物量均与最近4株树的平均胸径显著正相关(均R2> 0.21);密度Ⅲ林分中吸收根生物量与最近1株或4株树的胸径均显著相关(均R2> 0.16);而密度Ⅳ林分中吸收根和细根生物量与邻近树木胸径均不显著相关;在调查的3个土层中,细根和吸收根生物量与邻近树木胸径的相关性主要出现在0~10 cm土层,并呈现出与0~30 cm土层细根总生物量相似的规律。结论: 基于对不同密度水曲柳人工林细根生物量的研究结果,认为可在东北林区不同密度水曲柳人工林内灵活设置细根取样点,不必考虑与附近林木的距离,但需考虑邻近树木胸径大小的影响,在平均木周围设置取样点是可选途径。

关键词: 细根, 吸收根, 水曲柳, 林分密度, 根生物量

Abstract:

Objective: The main purpose of this study is to investigate the effects of distances to and diameters at breast height (DBH) of neighboring trees on fine root biomass with different stocking densities, and to reveal the main factors affecting root biomass, for providing a theoretical basis for formulating a reasonable root sampling plan. Method: In Fraxinus mandschurica plantations with four stocking densities (Treatment Ⅰ to Ⅳ: 3 572, 3 128, 2 215 and 1 468 hm-2, respectively), we employed the method of random sampling to estimate the biomass respectively of absorptive roots (diameter ≤ 0.5 mm) and fine roots (diameter ≤ 2.0 mm) in soil layers of 0-10, 10-20, and 20-30 cm and the totals of all soil layers, and measured the distance to and the DBH of the tree closest to the sampling point and four nearest neighbor trees. Linear regression analysis was used to examine the relationship between root biomass and the distance to and the DBH of the neighbor trees. Result: The total biomass of absorptive and fine roots (0-30 cm soil depth) significantly varied with stocking density, both of which showing the maximum in the stand with the lowest stocking density. From stocking density Ⅰ to Ⅳ, the proportions of biomass of absorptive roots in fine roots were 61.6%, 54.3%, 52.9%, and 63.4%, respectively. In all stands, more than 50% biomass of the fine roots and absorptive roots are distributed in the soil layer of 0-10 cm. In all the four stocking densities, there were no significant correlations between the total absorptive root or fine root biomass and the distance from the sampling point to the nearest one or four trees (P>0.05), except for the significantly positive correlation (P < 0.05) between fine root biomass in 10-20 cm soil layer and the mean DBH of the nearest four trees in the treatment Ⅲ. Compared with the total fine root biomass, the total absorptive root biomass showed a more general correlation with the DBH of neighbor trees, but the significance level of the correlation was related to the specific stocking densities. Both absorptive root and fine root biomass was positively correlated with the DBH of the nearest tree in the treatment Ⅰ (both R2 >0.19), and with the mean DBH of the four neighbor trees in the treatment Ⅱ (both R2> 0.21). The correlations between the absorptive root biomass and the DBH of the nearest tree or the mean DBH of the four neighbor trees were significant in the treatment Ⅲ (both R2> 0.16), while no correlation was found in the treatment Ⅳ. Among the 3 soil layers, significant correlations between the biomass of absorptive roots and fine roots and the DBH of neighboring trees mainly occurred in the 0-10 cm soil layer, which showing similar patterns to that of the totals in 0-30 cm soil layer. Conclusion: According to our findings in the variations of the fine root biomass in F. mandschurica plantations, the distance between the sampling point and the neighboring trees can be set flexibly. It is necessary to consider the potential impact of the size of the neighboring trees around the sampling point, thus set the sampling points around the standard trees is an appropriate approach

Key words: fine root, absorptive root, Fraxinus mandshurica, stocking density, root biomass

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