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北京房山欧美杨控位造林试验林分结构特征

Structural Characteristics of Position-controlled Afforestation Experimental Stands of Populus × euramericana‘Neva’ in Beijing Fangshan

  • 摘要:
    目的 控位造林从林分形成开始人为制造空间异质性和竞争不对称性,既保留规则造林的便利性又符合顺应自然的随机化培育理念,研究其林分结构特征对提升人工林的质量和稳定性十分必要。
    方法 基于2018年秋与2024年春对北京房山欧美杨控位造林试验的调查数据,分析5年间林分基本测树因子、直径分布及空间结构的变化。
    结果 (1)在高密度栽植条件下,控位造林和满员规则栽植小区的林木存活率分别为55.6%和37.5%,差异十分明显;(2)不同结构体的林木空间生态位差异明显。均匀木大小比数均值上升,大小比数均值由2018年的0.495(均衡状态)变为2024年的0.560(极度被压状态);随机木的整体相对优势程度变化不大,由0.527到0.533(被压状态);聚集木的优势程度在变大,由2018年的0.521(被压状态)变为2024年的0.445(极优状态);(3)不同结构体的林木密集度分布不同。均匀木密集度分布一直右偏;随机木由左偏到右偏;聚集木由常态变为右偏。
    结论 (1)控位比满员均匀造林的林木存活率高,高死亡率与高密度栽种有关;(2)林木空间生态位(竞争优势度)和林木生长快慢的顺序保持一致,均表现为:聚集木>随机木>均匀木,符合林木生长的林缘或林窗效应理论;(3)随机木空间生态位相对稳定,而均匀木的优势程度在减少,聚集木的优势程度提升很快,既符合随机体-稳定性假说,也契合林木生长有效空间理论。

     

    Abstract:
    Objective Position-controlled afforestation creates spatial heterogeneity and competitive asymmetry from the beginning of stand formation. It not only retains the convenience of regular afforestation but also conforms to the randomization cultivation concept of adapting to nature. Understanding the structural characteristics of these stands is crucial for improving the quality and stability of planted forests.
    Methods Based on survey data from the position-controlled afforestation experiment of Populus × euramericana‘Neva’ in Fangshan, Beijing in autumn 2018 and spring 2024, the changes in basic tree measurement factors, diameter at breast height (DBH) of trees distribution and spatial structure of the plantation in the five years were analyzed.
    Results (1) Under high-density planting conditions, the survival rate in position-controlled plots reached 55.6%, compared to only 37.5% in full-planting uniform plots, indicating a significant difference in stand preservation; (2) The spatial ecological niches of trees in different structure units were significantly different. The mean dominance of uniform trees increased, from 0.495 (balanced state) in 2018 to 0.560 (extremely suppressed state) in 2024. The overall relative dominance of random trees remained relatively stable, changing slightly from 0.527 to 0.533 (suppressed state). The dominance of clustered trees increased from 0.521 (suppressed state) in 2018 to 0.445 (extremely dominant state) in 2024 (3) The crowding distribution of trees in different structure units was different. The crowding distribution of uniform trees was always right-skewed; for random trees, it shifted from left-skewed to right-skewed; and for clustered trees, it changed from normal to right-skewed.
    Conclusions (1) The survival rate of trees in position-controlled planting is higher than that in full-density uniform plot. High mortality is related to high-density planting. (2) Spatial niche hierarchy (clustered > random > uniform trees) aligns with growth rates and supports the forest edge or gap effect theory, where microsite advantages drive differential resource capture. (3) The spatial niches of random trees remain relatively stable, while the dominance of uniform trees decreases significantly and clustered trees exhibit rapid dominance enhancement. These patterns align with both the random framework-stability hypothesis and the effective growing space theory.

     

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