对必要的模型复杂性的评估,以计算整个树转化升级的辐射变异性
Justin Beslity1, Stephen B Shaw2
1Biosphere 2, University of Arizona, 32540 S Biosphere Rd, Oracle, AZ 85623, USA.
Tree physiology
|July 10, 2025
概括
将外层树脂液流量扩大到整个树的透气需要理解辐射液流. 一个简单的线性回归模型准确地估计了整个树的透气,减少了树液流研究中的错误和成本.
科学领域:
- 植物生理学 植物生理学
- 森林生态 森林生态
- 水文学的水文学
背景情况:
- 准确的整个树的透气估计依赖于在西门半径深度的树液流的特征.
- 液液流的辐射变化是一个重要的错误来源,但没有采用通用缩放方法.
- 了解放射性汁液流量形状对季节性和天气的时间依赖性至关重要.
研究的目的:
- 为了评估树脂液流辐射轮的时间动态.
- 为了评估六种不同的辐射形状估计方法的准确性.
- 将这些方法与多点液液流估计进行比较.
主要方法:
- 探究了液液流径向形状对季节性和气象驱动因素的时间依赖性.
- 评估了六种辐射形状估计方法与多点液液流量测量.
- 采用交叉验证来测试独立数据集上的统计模型准确性.
主要成果:
- 线性回归将外部树木流量与整个树的流量进行比较,产生了最小的误差 (0.6%).
- 统计模型在不用于培训的树上应用时显示出高准确性 (平均调整后R2=0.961).
- 辐射液液流的变异性显著影响透气估计.
结论:
- 一个线性回归模型提供了一个强大的和准确的方法,用于缩放树液流量到整个树的透气.
- 用仪器对树的子集进行详细的辐射测量可以训练模型,以便在其他树上更简单地应用.
- 这种方法可以降低大规模液液流研究的部署成本和潜在错误.
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