Department of Botany and Biodiversity Research Centre, University of British Columbia, Vancouver, BC, V6T 1Z4, Canada.
Department of Environmental Science, Policy, and Management, University of California, Berkeley, CA, 94720, USA.
New Phytol. 2022 Oct;236(2):369-384. doi: 10.1111/nph.18347. Epub 2022 Jul 30.
Portable gas exchange analysers provide critical data for understanding plant-atmosphere carbon and water fluxes, and for parameterising Earth system models that forecast climate change effects and feedbacks. We characterised temperature measurement errors in the Li-Cor LI-6400XT and LI-6800, and estimated downstream errors in derived quantities, including stomatal conductance (g ) and leaf intercellular CO concentration (C ). The LI-6400XT exhibited air temperature errors (differences between reported air temperature and air temperature measured near the leaf) up to 7.2°C, leaf temperature errors up to 5.3°C, and relative errors in g and C that increased as temperatures departed from ambient. This caused errors in leaf-to-air temperature relationships, assimilation-temperature curves and CO response curves. Temperature dependencies of maximum Rubisco carboxylation rate (V ) and maximum RuBP regeneration rate (J ) showed errors of 12% and 35%, respectively. These errors are likely to be idiosyncratic and may differ among machines and environmental conditions. The LI-6800 exhibited much smaller errors. Earth system model predictions may be erroneous, as much of their parametrisation data were measured on the LI-6400XT system, depending on the methods used. We make recommendations for minimising errors and correcting data in the LI-6400XT. We also recommend transitioning to the LI-6800 for future data collection.
便携式气体交换分析仪为理解植物-大气碳和水通量提供了关键数据,并为预测气候变化影响和反馈的地球系统模型提供了参数。我们描述了 Li-Cor LI-6400XT 和 LI-6800 中温度测量误差,并估计了衍生量(包括气孔导度(g)和叶片细胞间 CO2 浓度(C))的下游误差。LI-6400XT 表现出高达 7.2°C 的空气温度误差(报告的空气温度与叶片附近测量的空气温度之间的差异)、高达 5.3°C 的叶片温度误差,以及随着温度偏离环境,g 和 C 的相对误差增加。这导致了叶片-空气温度关系、同化-温度曲线和 CO 响应曲线的误差。最大 RuBP 羧化速率(V)和最大 RuBP 再生速率(J)的温度依赖性分别显示出 12%和 35%的误差。这些误差可能是特有的,并且可能因机器和环境条件而异。LI-6800 表现出的误差要小得多。地球系统模型的预测可能是错误的,因为它们的许多参数化数据都是在 LI-6400XT 系统上测量的,这取决于所使用的方法。我们提出了一些建议,以最小化误差并纠正 LI-6400XT 中的数据。我们还建议未来的数据采集过渡到 LI-6800。