基于树种更新特征和生长过程模型的次生麻栎林经营方向和目标
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山西省重点研发计划项目(202102090301007);黄龙山松栎林质量与功能精准提升技术推广示范(K4030121002);山西农业大学博士科研启动项目(2021QB14)


Study on development directions and objectives of secondary Quercus acutissima forest based on tree species regeneration characteristics and growth processes models
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    摘要:

    以黄土高原中部的麻栎次生林为研究对象,通过分析更新树种从幼苗到幼树再到乔木的变化规律,并构建林木生长模型,来探讨群落发展的方向和目标。结果表明:麻栎次生群落在天然状态下的更新序列完整,能够自我更新,更新全程受8个生境因子的影响(解释度48.0%-96.0%);更新苗死亡率在Ⅰ-Ⅱ期最高,郁闭度大和坡向湿冷的生境更有利于幼苗度过此期。在幼苗、幼树到乔木的发展进程中,麻栎和油松的重要值分别由57.70%和8.22%上升到62.20%和10.80%,竞争态势明显高于其它树种,群落整体表现出麻栎-油松主导的针阔混交林发展趋势,人工辅助经营应以此为基础。麻栎生长最优模型为Richard模型,数量成熟期在150年左右,预测目标胸径、树高和材积分别为45.00 cm、17.5 m和1.1569 m3;其生长发育可划分为6个显著的阶段:幼龄期(1-18a)、快速生长期(19-46a)、稳定生长期(47-100a)、近成熟期(101-150a)、成熟期(151-204a)以及过熟期(205a以上),弥补了传统以固定龄级(20 a)划分次生栎林龄组的不足。研究结果为指导栎类次生林相关经营决策提供了新的参考。

    Abstract:

    In the central Loess Plateau of China, a comprehensive study was conducted on secondary forests dominated by Quercus acutissima to analyze the developmental patterns of regeneration from seedlings to saplings and eventually to mature trees. The research aimed to construct a growth model for these trees and explore the direction and objectives of community development. The findings revealed that the Quercus acutissima secondary forest exhibits a complete natural regeneration sequence, capable of self-sustaining renewal. This regeneration process is influenced by eight key habitat factors, which explain between 48.0% and 96.0% of the observed variability. Notably, seedling mortality was highest during the initial stages (I-II), with survival rates significantly improved under conditions of high canopy closure and on slopes with cooler, wetter microclimates, which provide a more favorable environment for seedling establishment. As the forest progresses from seedlings to saplings and then to mature trees, the importance values of Q. acutissima and Pinus tabulaeformis increase markedly. Specifically, the importance value of Q. acutissima rises from 57.70% to 62.20%, while that of P. tabulaeformis increases from 8.22% to 10.80%. This trend indicates a clear competitive advantage of these two species over others in the community, suggesting a developmental trajectory toward a mixed coniferous-broadleaf forest dominated by Q. acutissima and P. tabulaeformis. Consequently, any assisted management strategies should be designed to support and enhance this natural progression. The study identified the Richards model as the optimal growth model for Q. acutissima. According to this model, trees reaches its quantitative maturity at approximately 150 years, with predicted target values for diameter at breast height (DBH), height, and volume being 45.00 cm, 17.5 m, and 1.1569 m3, respectively. The growth process of Q. acutissima was further divided into six distinct stages: 1-18 years (initial growth phase), 19-46 years (rapid growth phase), 47-100 years (stable growth phase), 101-150 years (near-maturity phase), 151-204 years (maturity phase), and ≥ 205 years (over-maturity phase). This detailed stage-based classification addresses the limitations of traditional methods that rely on fixed age classes (e.g., 20-year intervals) for categorizing secondary oak forests, providing a more nuanced understanding of their growth dynamics. The results of this study offer valuable insights for guiding management decisions related to secondary oak forests. By understanding the natural regeneration patterns and growth stages of Q. acutissima, forest managers can develop targeted strategies to enhance forest productivity. These findings are particularly relevant for the Loess Plateau, where secondary forests play a critical role in ecological restoration and sustainable land management. Moreover, the principles derived from this research can be applied to similar ecosystems, where secondary forest regeneration is a key component of broader conservation and restoration efforts. In summary, this study underscores the importance of recognizing and supporting the natural regeneration processes of Q. acutissima secondary forests. By leveraging the insights provided by the Richards growth model and the detailed stage-based classification of growth phases, forest managers can make informed decisions that align with the ecological trajectory of these forests, ultimately promoting their long-term sustainability and ecological function.

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杨斌,薛文燕,张维伟,卢彦磊,张文辉.基于树种更新特征和生长过程模型的次生麻栎林经营方向和目标.生态学报,2025,45(8):3933~3945

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