使用随机森林模型来预测中国北部树,树及其混合森林的体积增长
Junfei Zhang1, Ziyi Wang1, Minghao Li1
1College of Forestry, Hebei Agricultural University, Baoding, Hebei, China.
Frontiers in plant science
|December 18, 2025
概括
准确的森林体积量化是碳中和的关键. 最低温度和树年龄对森林生长有显著的影响,混杂的桃-桃树显示出更高的生产力和增强碳捕获的潜力.
科学领域:
- 林业科学 林业科学
- 生态生态学 生态生态学
- 气候变化研究 气候变化研究
背景情况:
- 准确的森林体积量化和了解增长驱动因素对于碳中和目标至关重要.
- 森林管理策略需要适应气候变化,并优化碳捕获.
研究的目的:
- 评估生物和非生物因素对不同森林类型的种群数量增长的相对重要性和部分依赖.
- 确定纯树,树和混合树-树森林中森林体积增长的关键驱动因素.
- 为适应性森林管理提供见解,以提高生产力和弹性.
主要方法:
- 利用国家森林清单 (NFI) 数据和环境变量进行块级分析.
- 采用随机森林 (RF) 算法与优化的超参数 (网格搜索,阻塞交叉验证) 来建模摊位数量的增长.
- 分析了33个预测因素,包括气候,地形和土壤变量.
主要成果:
- 随机森林模型显示出强大的预测性能 (树的最高R2=0.92).
- 最冷月份的最低温度 (Bio12) 和树年龄是所有森林类型中最重要的预测因素.
- 混合白-白种群的生产率高于纯种群,这是由物种互补和促进驱动的.
结论:
- 年轻和中年森林的生产力更高;成熟的森林需要管理干预.
- 森林管理,特别是对于混合的树和树种群,可以提高生产力和碳捕获.
- 研究结果支持适应性管理策略,以减轻气候变化影响,并推进碳中和政策.
相关概念视频
Estimating Population Mean with Known Standard Deviation
9.6K
To construct a confidence interval for a single unknown population mean μ, where the population standard deviation is known, we need sample mean as an estimate for μ and we need the margin of error. Here, the margin of error (EBM) is called the error bound for a population mean (abbreviated EBM). The sample mean is the point estimate of the unknown population mean μ.
The confidence interval estimate will have the form as follows:
(point estimate - error bound, point estimate +...
The confidence interval estimate will have the form as follows:
(point estimate - error bound, point estimate +...
9.6K
Survival Tree
369
Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
Building a Survival Tree
Constructing a...
Building a Survival Tree
Constructing a...
369
Softwoods and Hardwoods
469
Softwoods and hardwoods, derived from different types of trees, are distinguished by their leaf structures and cellular compositions, each serving unique purposes in construction and manufacturing. Softwoods come from cone-bearing trees with needle-like leaves and are predominantly composed of longitudinal cells called tracheids and a smaller proportion of radial cells known as rays. Due to their cellular structure, softwoods are commonly used in construction for structural frames, sheathing,...
469


