为三个针叶树种的结属性构建通用方程
Ze-Lin Li1, Wei-Wei Jia1, Hao-Tian Guo1
1College of Forestry, Northeast Forestry University/Key Laboratory of Sustainable Management of Forest Ecosystem, Ministry of Education, Harbin 150040, China.
Ying yong sheng tai xue bao = The journal of applied ecology
|November 24, 2023
概括
这项研究开发了先进的模型来预测针叶植物物种的木结特性. 混合模型表现出卓越的准确性,提高了对不同类型树木中节点直径和长度的预测.
科学领域:
- 林业科学 林业科学
- 木材科学 木材科学 木材科学
- 统计建模 统计建模
背景情况:
- 准确的木结特性建模对于木材的分类和利用至关重要.
- 现有的模型可能无法完全捕捉不同针叶树种的变化.
- 了解结节的特征会影响木材质量评估.
研究的目的:
- 构建和比较基础,模拟变量和混合模型,以预测节点属性.
- 分析三种针叶树种中结直径,松结长度和声音结长度的变化.
- 为了确定最优的模型,准确预测木结属性.
主要方法:
- 收集了Pinus koraiensis,Larix olgensis和Pinus sylvestris的节点属性数据. 蒙古人 蒙古人 蒙古人
- 开发了一个基本模型,一个将物种作为定性因素纳入的虚拟变量模型,以及一个具有随机效应的混合模型.
- 通过使用Akaike信息标准 (AIC),贝叶斯信息标准 (BIC) 和拟合精度 (R平方,预测精度) 评估模型.
主要成果:
- 模拟变量和混合模型都显示出比基本模型更高的适配精度.
- 混合模型基于AIC和BIC表现出优异的性能,结节属性的R平方显著增加 (13.2%至84.8%).
- 在模拟变量和混合模型中,预测准确度超过了94%,这表明了跨物种强大的预测能力.
结论:
- 混合模型为预测研究的针叶树种的木结特性提供了最好的适合性.
- 确定了声音结长,结直径和松动结长的特定物种的变化.
- 开发的模型为木材质量评估和资源管理提供了更高的准确性.
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