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
PubMed
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.

相关概念视频

Estimating Population Mean with Known Standard Deviation01:16

Estimating Population Mean with Known Standard Deviation

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 +...
9.6K
Survival Tree01:19

Survival Tree

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...
369
Softwoods and Hardwoods01:28

Softwoods and Hardwoods

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