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没有气体交换测量的叶子CO2同化确定替代方法:性能,比较和灵敏度分析

Kensuke Kimura¹, Etsushi Kumagai¹, Erina Fushimi¹

¹Institute for Agro-Environmental Sciences, National Agriculture and Food Research Organization (NARO), Tsukuba, Japan.

Plant, cell & environment

|December 15, 2023

概括

一种新方法估计了没有气体交换的叶子二氧化碳同化率 (An). 它将光合作用建模与光反应和能量平衡理论相结合,使用叶绿素光和光谱数据.

科学领域:

植物生理学植物生理学
光合作用研究研究光合作用研究
遥感应用遥感应用

背景情况:

精确测量叶子二氧化碳同化率 (An) 对于了解植物对环境变化的反应至关重要.
传统的气体交换方法是劳动密集型的,不适合大规模的近距离或遥感.
现有的遥感方法往往难以准确,需要复杂的校准.

研究的目的:

开发和验证一种使用近距离和遥感技术估计叶子二氧化碳同化率 (An) 的替代方法.
整合Farquhar-von Caemmerer-Berry光合作用模型与机械光反应 (MLR) 理论和叶子能量平衡 (EB) 分析.
评估模型在不同植物物种和环境条件中的性能.

主要方法:

结合了Farquhar-von Caemmerer-Berry模型与MLR理论和EB分析.
利用叶绿素光 (近位或太阳引起的) 和光谱反射率来估计电子传输速率 (J).
使用叶子温度通过EB方程直接估计口腔导电性.

主要成果:

MLR-EB模型成功估计了小麦和大豆的A变化,包括中午抑郁.
灵敏度分析强调了叶子边界层电导率 (gb) 在模型性能中的关键作用.
该模型表明,在缺少气体交换数据的情况下,可以减少光合作用评估中的不确定性.

结论:

在没有直接气交测量的情况下,MLR-EB模型为估计叶子二氧化碳同化率提供了一个可行的替代方案.
准确估计叶子边界层电导率 (gb) 对于模型的可靠性至关重要.
这种方法提高了光合作用评估在近距离和遥感环境中的适用性.

关键词:

叶子边界层是叶子的边界层.在近距离感应.脉冲振幅调制 (PAM) 光学远程传感是一种遥感技术.太阳引起的叶绿素光 (SIF)热分析是一种热分析.

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