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中国农学通报 ›› 2021, Vol. 37 ›› Issue (25): 27-34.doi: 10.11924/j.issn.1000-6850.casb2021-0197

所属专题: 园艺

• 林学·园艺·园林 • 上一篇    下一篇

青冈栎林分空间结构对林下更新的影响

易烜1(), 朱光玉2(), 王琢玙2, 周根苗3, 边更战3, 张娅妮4, 黄靓1, 刘文剑2   

  1. 1湖南省青羊湖国有林场,长沙 410627
    2中南林业科技大学林学院,长沙 410004
    3湖南省农林工业勘察设计研究总院,长沙 410007
    4湖南景辉农林生态科技有限公司,长沙 410000
  • 收稿日期:2021-03-02 修回日期:2021-07-07 出版日期:2021-09-05 发布日期:2021-09-23
  • 通讯作者: 朱光玉
  • 作者简介:易烜,男,1982年出生,湖南长沙人,硕士,研究方向为森林经理学。通信地址:410627 湖南省长沙市宁乡市黄材镇 湖南省青羊湖国有林场,E-mail: 28582181@qq.com
  • 基金资助:
    湖南省林业科技创新专项项目“湖南省国家储备林建设技术规范”(XLK202001)

The Influence of Spatial Structure of Cyclobalanopsis glauca Forest on Understorey Regeneration

Yi Xuan1(), Zhu Guangyu2(), Wang Zhuoyu2, Zhou Genmiao3, Bian Gengzhan3, Zhang Yani4, Huang Liang1, Liu Wenjian2   

  1. 1Qingyanghu State Forest Farm, Changsha 410627
    2Central South University of Forestry and Technology, Changsha 410004
    3Hunan Prospecting Designing & Research Institute for Agriculture Forestry & Industry, Changsha 410007
    4Hunan Jinghui Agriculture and Forestry Ecological Technology Co., Ltd., Changsha 410000
  • Received:2021-03-02 Revised:2021-07-07 Online:2021-09-05 Published:2021-09-23
  • Contact: Zhu Guangyu

摘要:

林分空间结构会显著影响其林下幼树更新。为明确其影响林下幼树更新的关键因子,以湖南省青羊湖国有林场青冈栎林天然次生林为研究对象,测量幼树株数密度、树高、地径和冠幅,计算混交度、大小比数、开敞度指数以及聚集指数代表林分空间结构,评价林下幼树更新情况,并用灰色关联度分析方法探究两者间的相关关系。结果表明,青羊湖国有林场13块青冈栎林样地林下更新幼树有6种,分属于4科5属,分别是青冈栎、苦槠、多脉青冈、南酸枣、黄檀、马尾松,青冈栎在更新幼树中占明显优势,是优势树种,幼树重要值为63.09%。青冈栎林各林分空间结构指数与林下更新指数均大于0.5,关联度较高,综合所有林分空间结构指数对林下更新指数关联度的均值来看,对林下更新的影响由大到小为大小比数>开敞度>聚集指数>混交度,大小比数对青冈栎林下更新影响最为显著。在促进青冈栎天然次生林林下更新时,应以调整林木大小分化程度为主,综合考虑林木空间分布格局的调整方案。

关键词: 林分空间结构, 林下更新, 灰色关联度, 青冈栎, 重要值

Abstract:

Forest spatial structure has a significant influence on the regeneration of saplings. To clarify the key factors affecting the regeneration of saplings, the natural secondary forest of Cyclobalanopsis glauca forest was taken as the research object in Hunan Qingyang Lake State-owned Forest Farm. The density, tree height, ground diameter and crown width of saplings were measured, and the mixing degree, size ratio, opening index and aggregation index were calculated to represent forest spatial structure. The regeneration of saplings under the forest was evaluated and the correlation between them was explored by using the grey relational analysis method. The results show that there are 6 species of undergrowth regeneration saplings in 13 sample plots of C. glauca forest in Hunan Qingyang Lake State-owned Forest Farm, belonging to 4 families and 5 genera, which are C. glauca, Castanopsis sclerophylla, C. multinervis, Choerospondias axillaris, Dalbergia hupeana and Pinus massoniana. C. glauca is the dominant species in regeneration saplings, and the importance value of saplings is 63.09%. The spatial structure index and undergrowth regeneration index of each forest spatial structure of C. glauca are greater than 0.5, indicating a high correlation degree. Based on the mean correlation degree of all forest spatial structure indexes to undergrowth regeneration index, the order of influence on undergrowth regeneration is size ratio> openness> aggregation index> mixing degree, and size ratio has the most significant influence on undergrowth regeneration of C. glauca. Therefore, to promote undergrowth regeneration of natural secondary forests of C. glauca, we should adjust the size differentiation degree of trees, and consider the spatial distribution pattern of trees comprehensively.

Key words: forest spatial structure, understory regeneration, grey relational degree, Cyclobalanopsis glauca, importance value

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