单个树直径增长模型,用于中国东北长白山的自然二级森林
1Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing, 100091, China. junlu@caf.ac.cn.
Scientific reports
|August 12, 2024
概括
这项研究开发了一种以距离为依赖的个体树木生长模型,用于中国长白山自然森林中的15个物种. 树木的大小和竞争显著影响直径的增加,有助于森林生长预测.
科学领域:
- 森林生态 森林生态
- 量化林业 量化林业是什么
- 增长和收益率建模成长和收益率建模
背景情况:
- 单个树木的建模对于理解自然森林动态至关重要.
- 准确预测树木生长对于可持续森林管理至关重要.
研究的目的:
- 在自然混合森林中为15个物种开发连续距离依赖的个体树木生长模型.
- 确定影响树直径增加的关键变量,以改进森林生长模拟.
主要方法:
- 利用了来自中国长白山区白河森林局712个永久样本地块的数据.
- 应用渐进回归来分析直径增量和预测变量之间的关系.
- 在模型中纳入树木大小 (DBH),竞争指数和场地条件.
主要成果:
- 为15种树种开发了精确和适用的生长模型.
- 树的大小 (胸高直径 - DBH) 和竞争指数是直径增加的主要驱动因素.
- 现场条件对直径增量预测的影响最小.
结论:
- 开发的个体生长模型准确地反映了长白山脉15个物种的树木增长.
- 树木的大小和竞争是关键因素,而树木密度和场地条件的影响较小.
- 该模型为模拟自然混合森林中的树木和树生长提供了有价值的工具.
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