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林业科学 ›› 2022, Vol. 58 ›› Issue (10): 1-9.doi: 10.11707/j.1001-7488.20221001

• 北京冬奥会张家口赛区森林防火相关的资源监测、分析与管理技术专刊 • 上一篇    下一篇

基于潜在生产力的华北落叶松纯林和白桦山杨混交林立地质量评价

段光爽1,2,3,郑亚丽3,洪亮1,2,3,宋新宇3,符利勇1,2,*   

  1. 1. 中国林业科学研究院资源信息研究所 北京 100091
    2. 国家林业和草原局森林经营与生长模拟重点实验室 北京 100091
    3. 信阳师范学院数学与统计学院 信阳 464000
  • 收稿日期:2021-12-26 出版日期:2022-10-25 发布日期:2023-04-23
  • 通讯作者: 符利勇

A Potential Productivity-Based Approach of Site Quality Evaluation for Larch Pure Forest and Birch-Aspen Mixed Forest

Guangshuang Duan1,2,3,Yali Zheng3,Liang Hong1,2,3,Xinyu Song3,Liyong Fu1,2,*   

  1. 1. Research Institute of Forest Resource Information Techniques, CAF Beijing 100091
    2. Key Laboratory of Forest Management and Growth Modeling, National Forestry and Grassland Administration Beijing 100091
    3. College of Mathematics and Statistics, Xinyang Normal University Xinyang 464000
  • Received:2021-12-26 Online:2022-10-25 Published:2023-04-23
  • Contact: Liyong Fu

摘要:

目的: 探索基于潜在生产力的华北落叶松纯林和白桦山杨混交林林分立地质量评价, 为提高森林经营水平、促进现代林业发展和建设生态文明提供科学依据。方法: 利用崇礼区2019年森林资源一张图小班数据, 建立林分平均树高、断面积和蓄积生长模型, 计算华北落叶松纯林和白桦山杨混交林林分断面积和蓄积潜在生产力, 并结合林分现实生产力对潜在生产力的计算方法和实用性进行评价。结果: 华北落叶松纯林和白桦山杨混交林林分平均树高、断面积和蓄积生长模型拟合效果良好, 潜在生产力均随立地质量降低而下降, 华北落叶松纯林基准年龄时断面积潜在生产力介于2.06~2.11 m2·hm-2a-1之间, 蓄积潜在生产力介于6.27~12.11 m3·hm-2a-1之间, 白桦山杨混交林基准年龄时断面积和蓄积潜在生产力分别介于1.72~2.28和4.43~8.72 m3 ·hm-2a-1之间。林分现实生产力低于潜在生产力, 且差异随林分年龄增大而减小。对于中幼龄林样地, 立地质量高的林分现实生产力较大, 与潜在生产力的差异随立地等级上升而下降。结论: 华北落叶松纯林和白桦山杨混交林在中幼龄林阶段表现出比成过熟林阶段更高的潜在生产力, 现实生产力与潜在生产力相差较大, 差异随立地质量降低而增大, 应加强中幼龄林森林抚育, 且抚育过程中应重视立地质量中等的森林; 基准年龄时林分断面积和蓄积潜在生产力可作为评价立地质量好坏的指标。

关键词: 立地质量评价, 潜在生产力, 现实生产力, 华北落叶松纯林, 白桦山杨混交林

Abstract:

Objective: This study was carried out to develop a potential productivity-based approach of site quality evaluation for larch pure forests and birch-aspen mixed forests with the aims to provide scientific evidences for improving forest management level, promoting modern forestry development and ecological civilization construction. Method: Based on the latest compartment data of forest resources of Chongli area, Hebei Province in 2019, the growth models of stand mean height, basal area and volume were constructed for estimating the potential productivity of stand basal area and volume in larch pure forests and birch-aspen mixed forests. Hereafter, we also compared stand potential productivity against stand realized productivity in order to evaluate the computing method and practicability of stand potential productivity. Result: The fitting precision of the growth models of stand mean height, basal area and volume were good, and the stand potential productivity all decreased with the decrease of site quality. Specifically, the stand basal area potential productivity of sample plots of the larch pure forests ranged from 2.06 to 2.11 m2·hm-2a-1, and the stand volume potential productivity was 6.27-12.11 m3·hm-2a-1. Similarly, the stand basal area and volume potential productivity of sample plots of the birch-aspen mixed forests were 1.72-2.28 m2·hm-2a-1 and 4.43-8.72 m3·hm-2a-1, respectively. The stand realized productivity was lower than the stand potential productivity, and the difference between them decreased with the increase of stand average age. However, because of higher values of the stand realized productivity in higher site quality, the difference against the stand potential productivity decreased with the increase of value of site class for young and middle aged forest. Conclusion: For young and middle aged larch pure forests and birch-aspen mixed forests, the stand potential productivity was larger than that of mature and overmature forests, and the differences of stand potential productivity from stand realized productivity were large. However, such differences increased with the decrease of site quality. Therefore, young and middle aged forests tending should be strengthened, and the forests with the medium site quality should be taken into more consideration. Furthermore, these results suggested that potential productivity of stand basal area and volume under basal age could be used to assess site productivity effectively.

Key words: site quality evaluation, potential productivity, realized productivity, larch pure forest, birch-aspen mixed forest

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