林业科学 ›› 2026, Vol. 62 ›› Issue (8): 97-105.doi: 10.11707/j.1001-7488.LYKX20250423
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,*(
)
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:
Kailun Zou1,Zhanyin Wang2,Kexin Zhang1,Xiangdong Lei1,Xiaoxue Guo1,Lu Yang1,Xianzhao Liu1,*(
)
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。
中图分类号:
邹凯伦,王占印,张可欣,雷相东,郭晓雪,杨璐,刘宪钊. 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[J]. 林业科学, 2026, 62(8): 97-105.
Kailun Zou,Zhanyin Wang,Kexin Zhang,Xiangdong Lei,Xiaoxue Guo,Lu Yang,Xianzhao Liu. Differential Model of Basal Area Growth at Breast Height for Individual-Tree in Larch Plantations and Analysis of Its Driving Factors[J]. Scientia Silvae Sinicae, 2026, 62(8): 97-105.
表1
单木和林分因子概况"
| 因子 Factor | 最小值 Minimum | 最大值 Maximum | 均值 Mean | 标准差 Standard deviation |
| 期初单木断面积 Initial basal area per tree/m2 | 0.002 0 | 0.120 7 | 0.010 3 | 0.009 2 |
| 期末单木断面积 Final basal area per tree/m2 | 0.002 1 | 0.136 6 | 0.013 6 | 0.010 9 |
| 期初单木胸径 Initial DBH/cm | 5.0 | 39.2 | 10.6 | 4.3 |
| 期末单木胸径 Final DBH/cm | 5.2 | 41.7 | 12.3 | 4.5 |
| 大于对象木的 胸高断面积 Basal area of larger trees/(m2·hm?2) | 0.000 0 | 41.181 8 | 8.569 6 | 7.212 5 |
| 林分每公顷断面积 Stand basal area per hectare/(m2·hm?2) | 0.110 0 | 41.210 0 | 14.353 3 | 8.962 4 |
| 林分株树密度 Stand tree density/(stems·hm?2) | 50 | 4 083 | 1 585 | 842 |
| 林分密度指数 Stand density index | 6 | 1 594 | 571 | 326 |
表2
气候因子概况"
| 因子 Factor | 最小值 Minimum | 最大值 Maximum | 均值 Mean | 标准差 Standard deviation |
| 夏季平均最高温度 Summer mean maximum temperature/℃ | 18.64 | 28.48 | 23.98 | 1.74 |
| 冬季平均最低温度 Winter mean minimum temperature/℃ | ?33.06 | ?8.04 | ?20.98 | 5.71 |
| 最暖月平均温度 Mean warmest month temperature/℃ | 15.62 | 24.06 | 19.16 | 1.69 |
| 最冷月平均温度 Mean coldest month temperature/℃ | ?27.94 | ?6.06 | ?17.24 | 5.54 |
| 年均降水量 Mean annual precipitation/mm | 385.40 | 808.40 | 526.01 | 91.45 |
| 年均太阳辐射总量 Annual mean total solar radiation/(kWh·m?2) | 62.64 | 3 044.00 | 1 920.60 | 795.09 |
表4
模型拟合结果①"
| 模型 Model | ||
| 基于Logistic的无关年龄差分模型(模型1) Logistic-based age-independent difference model (Model 1) | 0.947 9 | 0.002 483 |
| 基于Gompertz的无关年龄差分模型(模型2) Gompertz-based age-independent difference model (Model 2) | 0.951 5 | 0.002 396 |
| 含年太阳辐射量哑变量的模型(模型3) Model with annual solar radiation dummy variable (Model 3) | 0.951 6 | 0.002 393 |
| 含林分因子、单木竞争因子、气候因子和哑变量的模型(模型4) Model incorporating stand factors, individual tree competition factors, climate factors, and dummy variables (Model 4) | 0.956 4 | 0.002 272 |
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