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林业科学 ›› 2023, Vol. 59 ›› Issue (12): 87-104.doi: 10.11707/j.1001-7488.LYKX20220837

• 研究论文 • 上一篇    下一篇

基于3-PGmix过程模型的落叶松人工林生长过程表编制

解雅麟1,雷相东2,*,曾伟生3   

  1. 1. 中国地质调查局自然资源综合调查指挥中心 自然资源要素耦合过程与效应重点实验室 北京 100055
    2. 国家林业和草原局森林经营与生长模拟实验室 中国林业科学研究院资源信息研究所 北京 100091
    3. 国家林业和草原局林草调查规划院 北京 100714
  • 收稿日期:2022-11-26 出版日期:2023-12-25 发布日期:2024-01-08
  • 通讯作者: 雷相东
  • 基金资助:
    十四五重点研发项目课题“典型人工林立地质量评价与生产力提升技术”(2022YFD2200501)。

Compilation of Growth and Yield Table for Larch Plantations Based on 3-PGmix Model

Yalin Xie1,Xiangdong Lei2,*,Weisheng Zeng3   

  1. 1. Command Center of Natural Resources Comprehensive Survey, China Geological Survey Key Laboratory of Coupling Process and Effect of Natural Resources Elements Beijing 100055
    2. Key Laboratory of Forest Management and Growth Modeling, National Forestry and Grassland Administration Institute of Forest Resource Information Techniques, Chinese Academy of Forestry Beijing 100091
    3. Institute of Forest and Grassland Inventory and Planning, National Forestry and Grassland Administration Beijing 100714
  • Received:2022-11-26 Online:2023-12-25 Published:2024-01-08
  • Contact: Xiangdong Lei

摘要:

目的: 编制落叶松人工林生长过程表,为落叶松人工林经营管理提供科学依据。方法: 以我国东北华北七省(市、区)——北京市、河北省、山西省、辽宁省、吉林省、黑龙江省和内蒙古自治区落叶松人工林为研究对象,基于第5~8次全国森林资源连续清查552块固定样地数据和气象数据,运用3-PGmix过程模型编制落叶松人工林不同立地等级生长过程表。结果: 通过校验得到4种落叶松人工林3-PGmix过程模型参数,林分各变量模型预测值与实测值一致性较高(R2在0.71~0.96之间),兴安落叶松、长白落叶松、华北落叶松和日本落叶松林分蓄积量的平均误差分别为5.70%、0.95%、4.70%和?4.56%,均方根误差分别为14.88、12.00、16.74和13.11 m3·hm?2。编制的林分生长过程表能够描述林分平均胸径、平均高、株数密度、公顷蓄积量、公顷生物量以及蓄积量和生物量的公顷年均生长量和连年生长量等随林龄增加的动态变化规律,4种落叶松人工林生长过程存在差异,其原因是适生条件、物候期、生长期等生物学特性不同所致,结果具有一定的统计可靠性和生物合理性。结论: 3-PGmix过程模型模拟结果可用于编制落叶松人工林生长过程表,为生长过程表的编制提供一种新的方法。

关键词: 落叶松人工林, 3-PGmix过程模型, 生长过程表

Abstract:

Objective: Larch is the main tree species for afforestation in northeast and north China. Growth and yield tables of larch plantations were compiled to provide the basis for scientific management. Method: Based on the data of 552 permanent sample plots of larch plantations from the fifth to the eighth national forest inventory and meteorological data in 7 provinces of northeast and north China (Beijing, Hebei, Shanxi, Liaoning, Jilin, Heilongjiang and Inner Mongolia), growth and yield tables were produced for larch plantations with different site levels using 3-PGmix model. Result: The model parameters of larch plantations were obtained by calibration and validation. The simulated and measured values of stand variables were consistent with each other (R2 was between 0.71 and 0.96). The mean relative errors in terms of stand volume were 5.70%, 0.95%, 4.70%, and ?4.56% for Larix gmelinii, Larix olgensis, Larix principis-rupprechtii and Larix kaempferi, respectively. The RMSE (root mean square error) values were 14.88, 12.00, 16.74 and 13.11 m3·hm?2, respectively. The growth and yield tables could describe the change of stand variables with age, including stand average DBH, average height, stem density, stock volume, stand biomass, periodical and mean annual increment etc. Results showed the differences in the growth of the four larch species, owing to the difference in suitable conditions, phenological period, growth period and other biological characteristics. The model results are statistically reliable and biologically rational. Conclusion: The simulation results of the 3-PGmix process-based growth model can be used to produce the growth and yield table of larch plantations, and the study provided a novel way for forest growth and yield table.

Key words: larch plantation, 3-PGmix process-based growth model, growth and yield table

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