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AOBPreview published online on February 23, 2004

Annals of Botany, doi:10.1093/aob/mch023
© 2004 by Annals of Botany Company
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Submitted on May 28, 2003
Revised on August 29, 2003
Accepted on December 8, 2003

Simulation of the Stomatal Conductance of Winter Wheat in Response to Light, Temperature and CO2 Changes

QIANG YU1*, YONGQIANG ZHANG1, YUNFEN LIU1, and PEILI SHI1

Affiliation of the authors: 1 Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, P. R. China

* To whom correspondence should be addressed. E-mail: yuq{at}igsnrr.ac.cn.

Background and Aims The stomata are a key channel of the water cycle in ecosystems, and are constrained by both physiological and environmental elements. The aim of this study was to parameterize stomatal conductance by extending a previous empirical model and a revised Ball-Berry model.

Methods Light and CO2 responses of stomatal conductance and photosynthesis of winter wheat in the North China Plain were investigated under ambient and free-air CO2 enrichment conditions. The photosynthetic photon flux density and CO2 concentration ranged from 0 to 2000 µmol m-2 s-1 and from 0 to 1400 µmol mol-1, respectively. The model was validated with data from a light, temperature and CO2 response experiment.

Key Results By using previously published hyperbolic equations of photosynthetic responses to light and CO2, the number of parameters in the model was reduced. These response curves were observed diurnally with large variations of temperature and vapour pressure deficit. The model interpreted stomatal response under wide variations in environmental factors.

Conclusions Most of the model parameters, such as initial photon efficiency and maximum photosynthetic rate (Pmax), have physiological meanings. The model can be expanded to include influences of other physiological elements, such as leaf ageing and nutrient conditions, especially leaf nitrogen content.


Key words: Stomatal conductance, light intensity, temperature, humidity, CO2, model.


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