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林木高径比研究综述

严铭海 黄清麟 王金池 王少杰

严铭海, 黄清麟, 王金池, 王少杰. 林木高径比研究综述[J]. 世界林业研究, 2023, 36(1): 59-65. doi: 10.13348/j.cnki.sjlyyj.2022.0099.y
引用本文: 严铭海, 黄清麟, 王金池, 王少杰. 林木高径比研究综述[J]. 世界林业研究, 2023, 36(1): 59-65. doi: 10.13348/j.cnki.sjlyyj.2022.0099.y
Minghai Yan, Qinglin Huang, Jinchi Wang, Shaojie Wang. Research on Height to Diameter Ratio of Forest Trees: A Review[J]. WORLD FORESTRY RESEARCH, 2023, 36(1): 59-65. doi: 10.13348/j.cnki.sjlyyj.2022.0099.y
Citation: Minghai Yan, Qinglin Huang, Jinchi Wang, Shaojie Wang. Research on Height to Diameter Ratio of Forest Trees: A Review[J]. WORLD FORESTRY RESEARCH, 2023, 36(1): 59-65. doi: 10.13348/j.cnki.sjlyyj.2022.0099.y

林木高径比研究综述

doi: 10.13348/j.cnki.sjlyyj.2022.0099.y
基金项目: 海南国家公园研究院科研项目(KY-22ZK03);中国林业科学研究院中央级公益性科研院所基本科研业务费专项资金重点项目(CAFYBB2017ZC002)
详细信息
    作者简介:

    严铭海,男,博士研究生,从事森林可持续经营理论与技术研究,E-mail:498935403@qq.com

    通讯作者:

    黄清麟,男,研究员,博士生导师,从事森林可持续经营理论与技术研究,E-mail:huangql@caf.ac.cn

  • 中图分类号: S758.1

Research on Height to Diameter Ratio of Forest Trees: A Review

  • 摘要: 林木高径比是基本测树因子之一。由于精确树高测定困难(特别是在结构复杂的森林中),对林木高径比的直接相关研究相对较少。文中从林木高径比的研究对象、影响因素、林木高径比与单一测树因子的关系、林木高径比模型模拟、林木高径比与林木遭受风雪灾害的关系5个方面进行综述,以期为进一步研究林木高径比奠定基础。目前大部分研究是针对结构简单、单层同龄的人工针叶纯林,针对分树种和分林层的研究极少且只有国外报道。林木高径比可能受到树龄、树种、竞争、立地和气候等多种因素的影响。胸径、断面积、材积和地径等单一测树因子与林木高径比关系较为紧密,且呈负相关,而树高、冠长、冠幅、树冠面积、冠径、树冠比和树冠闭合百分比等单一测树因子与林木高径比关系较不紧密。目前的林木高径比模型多以胸径为自变量,然后进行多模型优选,所选的最佳模型多为非线性模型;部分研究则在最佳模型中加入其他的自变量,如竞争、立地、林层和树种等因子。多数研究认为,林木高径比越大,林木越容易遭受风雪灾害。
  • 表  1  目前选用的表达林木高径比随胸径变化的部分模型

    函数类型表达式参考文献函数类型表达式参考文献
    指数函数Y=aebD[14]双曲线函数 Y=a+b/x[26]
    幂函数 Y=aDb[28]自然对数函数Y=a+bln(D)[34]
    对数函数Y=aln(d)+b[13]修正指数函数Y=aeb/D[32]
    注:Y表示林木高径比,e为自然对数的底数,ab表示模型参数,D表示胸径。
    下载: 导出CSV

    表  2  部分树种林木高径比的建议数值

    树种高径比数值参考文献树种高径比数值参考文献
    西部落叶松   80[46]挪威云杉 80[44]
    内陆道格拉斯冷杉80[46]桦木  140[53]
    美国黑松    80[46]栎木  140[53]
    美国黄松    80[46]山毛榉 140[53]
    辐射松     74[2]西加云杉 60[53]
    苏格兰松    80[44]
    下载: 导出CSV
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出版历程
  • 收稿日期:  2022-06-17
  • 修回日期:  2022-11-04
  • 网络出版日期:  2022-11-15
  • 刊出日期:  2023-01-18

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