Novel Model for Stomatal Conductance: Enhanced Accuracy Under Variable Irradiance and CO2 in C3 Plant Species

This study analyzes stomatal conductance (<i>g</i><sub>sc</sub>) in <i>Trifolium repens</i> L., <i>Lolium perenne</i> L., and <i>Triticum aestivum</i> L. under varying environmental conditions. Light-response curves for photosynthesis (<i>A</i><sub>n</sub>-<i>I</i>) at 420 μmol mol<sup>-1</sup> CO<sub>2</sub> were used to determine saturating irradiance (<i>I</i><sub>sat</sub>) using a light-response model for photosynthesis, and CO<sub>2</sub>-response curves for photosynthesis (<i>A</i><sub>n</sub>-<i>C</i><sub>i</sub>) were measured at <i>I</i><sub>sat</sub> and half <i>I</i><sub>sat</sub> for these C<sub>3</sub> plant species. The Ball-Woodrow-Berry (BWB) model, Medlyn model, and a new model were compared for their ability to describe the net photosynthetic rate (<i>A</i><sub>n</sub>) relative to <i>g</i><sub>sc</sub> under changing irradiance or CO<sub>2</sub>. The BWB model overestimated <i>g</i><sub>sc</sub> response, simplifying stomatal behavior, while the Medlyn model deviated at high <i>A</i><sub>n</sub> values, indicating limitations in dynamic responses. The new model showed a better empirical fit under the tested conditions, achieving high <i>R</i><sup>2</sup> values and low AIC values across all three species, and demonstrated a strong alignment with empirical data. Our findings highlight the complexity of <i>g</i><sub>sc</sub> regulation and the need for improved models to better represent stomatal dynamics under different environmental conditions. This research is vital for optimizing water use efficiency, enhancing crop productivity, and understanding plant resilience to climate change.

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Publication Details

Journal
Biology
Published
2025-10-27
DOI
https://doi.org/10.3390/biology14111501
Primary Topic
Plant Water Relations and Carbon Dynamics
Type
article
Field-Weighted Citation Impact
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article

Novel Model for Stomatal Conductance: Enhanced Accuracy Under Variable Irradiance and CO2 in C3 Plant Species

Zi‐Piao Ye, Xiaolong Yang, Fubiao Wang, Hua-Jing Kang et al.
Biology
Plant Water Relations and Carbon Dynamics
article

Novel Model for Stomatal Conductance: Enhanced Accuracy Under Variable Irradiance and CO2 in C3 Plant Species

Zi‐Piao Ye, Xiaolong Yang, Fubiao Wang, Hua-Jing Kang, Ting An
article en

Abstract

This study analyzes stomatal conductance (<i>g</i><sub>sc</sub>) in <i>Trifolium repens</i> L., <i>Lolium perenne</i> L., and <i>Triticum aestivum</i> L. under varying environmental conditions. Light-response curves for photosynthesis (<i>A</i><sub>n</sub>-<i>I</i>) at 420 μmol mol<sup>-1</sup> CO<sub>2</sub> were used to determine saturating irradiance (<i>I</i><sub>sat</sub>) using a light-response model for photosynthesis, and CO<sub>2</sub>-response curves for photosynthesis (<i>A</i><sub>n</sub>-<i>C</i><sub>i</sub>) were measured at <i>I</i><sub>sat</sub> and half <i>I</i><sub>sat</sub> for these C<sub>3</sub> plant species. The Ball-Woodrow-Berry (BWB) model, Medlyn model, and a new model were compared for their ability to describe the net photosynthetic rate (<i>A</i><sub>n</sub>) relative to <i>g</i><sub>sc</sub> under changing irradiance or CO<sub>2</sub>. The BWB model overestimated <i>g</i><sub>sc</sub> response, simplifying stomatal behavior, while the Medlyn model deviated at high <i>A</i><sub>n</sub> values, indicating limitations in dynamic responses. The new model showed a better empirical fit under the tested conditions, achieving high <i>R</i><sup>2</sup> values and low AIC values across all three species, and demonstrated a strong alignment with empirical data. Our findings highlight the complexity of <i>g</i><sub>sc</sub> regulation and the need for improved models to better represent stomatal dynamics under different environmental conditions. This research is vital for optimizing water use efficiency, enhancing crop productivity, and understanding plant resilience to climate change.

BiologyVol. 14(11)
Jinggangshan University (CN), Guangdong Medical College (CN), Zhaoqing University (CN), Chinese Academy of Sciences (CN), Nantong University (CN), Research Center for Eco-Environmental Sciences (CN), Wenzhou Institute of Technology Testing & Calibration (CN)
Openalex Percentile: Top 71%
Plant Water Relations and Carbon Dynamics
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