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Updated: Nov 27, 2025

Relating Stomatal Conductance to Leaf Functional Traits
Published on: October 12, 2015
Stomatal response drives between-species difference in predicted leaf water-use efficiency under elevated ozone.
Yansen Xu1, Bo Shang2, Jinlong Peng1
1State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China.
Elevated ozone (O3) impacts photosynthesis and water use efficiency (WUE) differently across plant species. This study improves O3 impact prediction by modifying key photosynthetic parameters in vegetation models.
Area of Science:
- Plant physiology
- Environmental science
- Ecosystem modeling
Background:
- Ozone (O3) affects plant photosynthesis (An) and stomatal conductance (gs), leading to variable water use efficiency (WUE) responses.
- Current vegetation models struggle to accurately simulate O3's impact on WUE due to species-specific physiological changes.
Purpose of the Study:
- To investigate O3-induced changes in the An-gs relationship and their impact on WUE in two O3-sensitive plant species.
- To improve the accuracy of vegetation models in predicting O3 effects on plant physiology and WUE.
Main Methods:
- Exposed *Cotinus coggygria* and *Magnolia denudata* to five O3 concentrations.
- Utilized a coupled An-gs model, incorporating O3-induced changes in maximum rates of Rubisco carboxylation (Vcmax), electron transport (Jmax), and minimal stomatal conductance (g0).
- Compared model simulations with observed An, gs, and WUE.
Main Results:
- Increased stomatal O3 uptake linearly reduced Vcmax and Jmax in both species.
- A negative linear correlation was found between O3-induced changes in g0 and light-saturated photosynthesis in *M. denudata*.
- The coupled model accurately simulated An under elevated O3 when O3-dependent Vcmax and Jmax were included; incorporating O3-dependent g0 further improved gs and WUE predictions for *M. denudata*.
Conclusions:
- Modified Vcmax, Jmax, and g0 parameters improve predictions of O3-induced changes in An, gs, and WUE.
- This approach provides a foundation for more accurate ecosystem modeling of O3 impacts on vegetation.
- Understanding species-specific responses to O3 is crucial for refining vegetation models and predicting ecosystem-level changes.
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