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林业科学 ›› 2026, Vol. 62 ›› Issue (8): 97-105.doi: 10.11707/j.1001-7488.LYKX20250423

• 研究论文 • 上一篇    下一篇

落叶松人工林单木胸高断面积生长差分模型及驱动因素分析

邹凯伦1,王占印2,张可欣1,雷相东1,郭晓雪1,杨璐1,刘宪钊1,*()   

  1. 1. 中国林业科学研究院资源信息研究所 林木资源高效生产全国重点实验室 北京 100091
    2. 江西省森林资源保护中心 南昌 330036
  • 收稿日期:2025-07-01 修回日期:2026-06-12 出版日期:2026-08-10 发布日期:2026-08-20
  • 通讯作者: 刘宪钊 E-mail:liuxianzhao@ifrit.ac.cn
  • 基金资助:
    国家重点研发计划课题(2023YFD220080302);国家自然科学基金项目(32271878)。

Differential Model of Basal Area Growth at Breast Height for Individual-Tree in Larch Plantations and Analysis of Its Driving Factors

Kailun Zou1,Zhanyin Wang2,Kexin Zhang1,Xiangdong Lei1,Xiaoxue Guo1,Lu Yang1,Xianzhao Liu1,*()   

  1. 1. State Key Laboratory of Efficient Production of Forest Resources Institute of Forest Resource Information Techniques, Chinese Academy of Forestry Beijing 100091
    2. Jiangxi Forest Resources Protection Center Nanchang 330036
  • Received:2025-07-01 Revised:2026-06-12 Online:2026-08-10 Published:2026-08-20
  • Contact: Xianzhao Liu E-mail:liuxianzhao@ifrit.ac.cn

摘要:

目的: 构建无关年龄的差分模型,模拟落叶松人工林单木胸高断面积生长动态,分析地形、气候、林分和竞争因子对树木生长的非线性调控机制,探讨各因子间对树木生长的交互作用,为落叶松人工林的可持续经营提供科学依据。方法: 利用华北地区和东北地区第七次和第八次全国森林资源连续清查数据中的落叶松人工林数据,构建无关年龄的差分模型,模拟单木胸高断面积生长动态。在模型构建过程中,引入基于地形条件计算的太阳辐射量的哑变量,将气候因子(年均降水量)、林分因子(每公顷胸高断面积)和竞争因子作为驱动变量,通过再参数化分析评估这些因子对单木胸高断面积生长的非线性影响。对变量进行敏感性分析和交互效应分析,量化不同因子对单木生长的贡献,并探讨各因子间对树木生长的交互作用。结果: 1) 无关年龄差分模型在模拟单木胸高断面积生长方面具有显著优势。引入气候、林分和竞争因子的模型(模型4)表现最优,其R2达0.956 4,RMSE为0.002 272 m2,相比基础模型(模型2),R2提升0.51%,RMSE降低5.18%。2) 敏感性分析结果显示,竞争因子对单木胸高断面积生长的影响最显著,表现为优势木在资源竞争中具有较高的生长效率;其次为年均降水量,其与胸高断面积呈显著正相关;再次为林分每公顷胸高断面积,林分密度对单木生长呈抑制效应;最后为太阳辐射强度,中等强度的太阳辐射最有利于生长,过高的太阳辐射可能导致热胁迫。3) 交互效应分析表明,气候因子、林分结构和竞争因子协同影响树木生长,降水对生长的促进作用受竞争压力和林分密度调节,在低竞争和低密度环境中更显著。结论: 本研究通过无关年龄差分模型模拟落叶松人工林单木胸高断面积生长动态,评估气候、林分和竞争因子的非线性影响。竞争因子对树木生长影响最大,优势木在资源竞争中具有较高生长效率,年均降水量、每公顷胸高断面积和太阳辐射也对树木生长产生重要作用;同时,气候因子、林分结构和单木竞争因子协同影响单木生长。

关键词: 无关年龄的差分模型, 胸高断面积, 大于对象木的胸高断面积, 降水量, 太阳辐射, 交互作用

Abstract:

Objective: This study aims to construct an age-independent differential model to simulate the growth dynamics of individual Larix gmelinii (larch) trees' basal area at breast height in larch plantations, analyze the nonlinear regulatory mechanisms of topographic, climatic, stand, and competition factors on growth, and explore the interaction among these factors on tree growth, providing a scientific basis for the formulation of forest management strategies. Method: Larch plantation data from the seventh and eighth national forest resource consecutive inventories in north and northeast China were used to construct an age-independent differential model to simulate the growth process of individual larch trees' basal area at breast height. During the model construction, a dummy variable representing solar radiation based on topographic calculations was introduced, and climate factors (annual precipitation), stand factors (basal area at breast height per hectare), and individual tree competition factors were used as driving variables. Reparameterization analysis was performed to assess the nonlinear impacts of these factors on the growth of basal area at breast height. In addition, sensitivity analysis and interaction effect analysis were conducted on the variables to quantify the contributions of different factors to individual tree growth and to explore the interactive effects among these factors on tree growth. Result: 1) The age-independent differential model had a significant advantage in simulating the growth of individual tree basal area at breast height. The model incorporating climate, stand, and competition factors (Model 4) performed the best, with an R2 of 0.956 4 and an RMSE of 0.002 272 m2. Compared to the baseline model (Model 2), Model 4 showed an R2 increase of 0.51%, and RMSE decrease of 5.18%. 2) Sensitivity analysis showed that competition factors had the most significant impact on individual tree basal area growth, with dominant trees exhibiting higher growth efficiency in resource competition. Secondly, there was a significant positive correlation between the mean annual precipitation and basal area at breast height. Thirdly, the stand basal area per hectare and stand density exhibited an inhibitory effect on individual tree growth. Finally, solar radiation intensity had the least impact, with moderate solar radiation being most favorable for growth, while excessive radiation could lead to heat stress. 3) Interaction effect analysis indicated that climate factors, stand structure, and individual tree competition jointly influenced growth. The promoting effect of precipitation on growth was moderated by competition pressure and stand density, with more pronounced under low competition and low-density conditions. Conclusion: This study simulated the growth process of individual larch trees' basal area at breast height in larch plantations using an age-independent differential model, and evaluated the nonlinear effects of climate, stand, and competition factors. The results show that competition factors have the most significant impact on growth, with dominant trees exhibiting higher growth efficiency in resource competition. Annual mean precipitation, basal area per hectare, and solar radiation also play important roles in growth. Meanwhile, climate factors, stand structure, and individual tree competition jointly influence individual tree growth.

Key words: age-independent difference model, basal area at breast height, basal area of larger trees, precipitation, solar radiation, interactive effect

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