生态环境学报 ›› 2022, Vol. 31 ›› Issue (9): 1794-1801.DOI: 10.16258/j.cnki.1674-5906.2022.09.009

• 研究论文 • 上一篇    下一篇

侧柏人工林林分空间结构对林下草本多样性的差异性影响及其关联度

张林(), 周飘, 齐实*(), 张岱, 伍冰晨, 崔冉冉   

  1. 北京林业大学水土保持学院/水土保持国家林业局重点实验室,北京 100083
  • 收稿日期:2022-03-13 出版日期:2022-09-18 发布日期:2022-11-07
  • 通讯作者: *齐实(1964年生),男,教授,主要从事水土保持与流域治理研究。Email: qishi@bjfu.edu.cn
  • 作者简介:张林(1996年生),男,硕士研究生,主要从事水土保持与流域治理研究。E-mail: 1822892459@qq.com
  • 基金资助:
    北京市京津风沙源治理二期工程2020年项目林业监测与评价(2020-SYZ-01-17JC05)

Difference Influence of Spatial Structure of Platycladus orientalis Plantations on Diversity of Understory Herbaceous and Its Correlation Degree

ZHANG Lin(), ZHOU Piao, QI Shi*(), ZHANG Dai, WU Bingchen, CUI Ranran   

  1. School of Soil and Water Conservation, Beijing Forestry University/Key Laboratory of Soil and Water Conservation State Forestry Bureau, Beijing 100083, P. R. China
  • Received:2022-03-13 Online:2022-09-18 Published:2022-11-07

摘要:

探讨林分结构与林下草本物种多样性的关系,解析影响林下草本物种多样性的主导林分结构因子并提出相应的优化策略,可为北京山区生物多样性保护和森林可持续发展经营提供理论依据。以北京山区侧柏人工林为研究对象,基于27个标准样地的实测数据,选取了林分密度、郁闭度、混交度、角尺度、大小比、林龄、平均树高、平均胸径等8个林分结构指标,利用多元逐步回归法筛选出影响林下草本物种多样性的主导林分结构因子,并用响应面分析法将主导林分结构进行优化。结果表明,(1)Pearson相关分析结果显示影响Simpson多样性指数的林分结构因子为郁闭度(P<0.01)、林分密度(P<0.01)和混交度(P<0.05);影响Pielou均匀性指数的林分结构因子为郁闭度(P<0.01)、林分密度(P<0.05)和混交度(P<0.01);影响Margalef丰富度指数的林分结构因子为林分密度(P<0.05),而林龄、平均胸径、平均树高、角尺度和大小比与各多样性指数均无显著相关关系(P>0.05)。(2)多元逐步回归分析结果显示郁闭度是影响林下Simpson多样性指数的主导林分结构因子,郁闭度和混交度是影响林下Pielou均匀性指数的主导林分结构因子,林分密度是影响Margalef丰富度指数的主导林分结构因子,而对多样性整体水平起决定作用的主导林分结构因子为郁闭度和混交度。(3)响应面分析结果显示林分结构的最优配置调整为:林分郁闭度=0.58,混交度=0.60,与优化前的侧柏林下草本物种多样性综合指数的平均水平(0.57)相比,预期值将提高约41.19%。综上所述,维持合理的林分结构是提升林下草本植物多样性整体水平的有效途径。

关键词: 侧柏林, 林分空间结构, 草本多样性, 多元逐步回归, 响应面分析

Abstract:

Exploring the relationship between stand structure and species diversity of understory herbaceous, analyzing the dominant stand structure factors that affect the species diversity of understory herbaceous, and putting forward corresponding optimization strategies can provide a theoretical basis for biodiversity protection and forest sustainable development management in mountainous areas of Beijing. In this study, Platycladus orientalis plantations in the Beijing mountainous area was taken as the research object. Based on the measured data of 27 standard plots, eight stand structure indicators were selected, including stand density, canopy density, mingling degree, angular scale, size ratio, stand age, mean tree height, and mean DBH. The dominant stand structure factors affecting the species diversity of understory herbaceous were selected by the multiple stepwise regression method and optimized by response surface analysis. The results showed that (1) canopy density (P<0.01), stand density (P<0.01) and mingling degree (P<0.05) were the structural factors affecting the Simpson diversity index; the stand structure factors affecting the Pielou evenness index were canopy density (P<0.01), stand density (P<0.05) and mingling degree (P<0.01); the stand structure factor that affected the Margalef richness index was stand density (P<0.05), but there were no significant correlations between stand age, average DBH, average tree height, angle scale and size ratio and each diversity index (P>0.05). (2) The results of multiple stepwise regression analysis showed that canopy density was the dominant stand structure factors that affected the Simpson diversity index of understory herbaceous; canopy density and mingling degree were the dominant stand structure factors that affected the Pielou evenness index of understory herbaceous; stand density was the dominant stand structure factor that affected the Margalef richness index of understory herbaceous; and canopy density and mingling degree were the dominant stand structure factors that determined the overall level of diversity. (3) The results of response surface analysis showed that the optimal allocation of stand structure was adjusted as follows: stand canopy density=0.58, mingling degree=0.60, which was expected to increase by about 41.19% compared with the average level (0.57) of the comprehensive index of herbaceous species diversity under Platycladus orientalis before optimization. Therefore, maintaining a reasonable stand structure was an effective way to improve the overall level of understory herbaceous plant diversity.

Key words: Platycladus orientalis, stand spatial structure, herbaceous diversity, multiple stepwise regression, response surface analysis

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