使用动态同化技术在混合宽叶森林中估计CO2反应

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Updated: Jun 1, 2025

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Huiting Hu¹, Wei Jiang¹, Xiuhua Fan²

¹College of Science, Beijing Forestry University, Beijing, China.

BMC plant biology

|January 21, 2025

概括

非矩形超 (NRH) 模型最适合动态同化技术 (DAT) 数据用于森林树的光合作用. 这种方法提高了二氧化碳反应测量,提高了植物光合作用研究的效率和数据密度.

科学领域:

植物生理学植物生理学
森林生态森林生态
光合作用研究研究光合作用研究

背景情况:

估计森林树的二氧化碳反应对植物光合作用至关重要.
传统方法使用稳定状态条件,限制效率和数据密度.
动态同化技术 (DAT) 可实现非平稳状态测量,改善数据采集.

研究的目的:

评估不同的模型适配DAT数据的准确性和有效性.
为了解决在非稳定状态光合作用测量中对模型性能进行验证的需要.
确定用于分析森林树木中DAT衍生的CO2响应曲线的最佳模型.

主要方法:

我们比较了四种模型:矩形超模 (RH),迈凯利斯-门 (MM),修改的RH (MRH) 和非矩形超模 (NRH).
在中国东北部的三种宽叶树 (Ulmus macrocarpa,Fraxinus mandshurica,Tilia amurensis) 的DAT数据中应用模型.
使用R2,RMSE和AIC等统计指标评估模型性能.

主要成果:

在研究的物种中,Fraxinus mandshurica表现出对二氧化碳度升高的适应性最高.
非矩形超波拉 (NRH) 模型为DAT数据提供了最适合的模型.
NRH模型实现了高精度,R2 = 0.9966 和 RMSE = 0.1862.

结论:

推NRH模型适用于DAT数据,因为它很节,参数准确.
这项研究验证了DAT对于森林树木高效的二氧化碳反应测量的实用性.
这些发现为推进光合作用研究中的DAT应用提供了宝贵的参考.

关键词:

二氧化碳的反应反应动态同化技术动态同化技术混合的宽叶韩国松树林.光合作用生理特征光合作用生理特征

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