Leaf gas exchange measurement for steady‐state stomatal conductance model calibration

Stomatal conductance models are essential components of crop and land surface models, but collecting data to calibrate them remains challenging due to large leaf-to-leaf variability, slow stomatal kinetics, and a lack of consistent measurement protocols, leading to unknown reliability and representativeness of calibrated model parameter estimates. We combined field measurements, 3D biophysical simulations, and statistical power analyses to quantify parameter calibration discrepancies with different instruments under different conditions to provide recommendations for protocol development. Leaf-to-leaf physiological variability in measured steady-state stomatal conductance exceeded threefold under identical conditions, calling into question the use of few steady-state response curves to represent a canopy. Stomatal kinetics introduce systematic error in parameter calibration, and slower stomatal response times necessitated larger survey sample sizes to recover known stomatal model parameters of simulated data. Primary recommendations are as follows: survey measurements (c. 100 samples) are needed to sample leaf-to-leaf variability and can be supplemented by steady-state measurements to better represent environmental responses, survey measurements should maximize the range of leaf-level environmental conditions while minimizing transient effects, and steady-state measurements with controlled environmental conditions should maintain constant conditions for 15-45 min before measurement to allow for true stomatal steady state and not just instrument equilibrium.

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Publication Details

Journal
New Phytologist
Published
2026-02-12
DOI
https://doi.org/10.1111/nph.70949
Primary Topic
Plant Water Relations and Carbon Dynamics
Type
article
Field-Weighted Citation Impact
0.00

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article

Leaf gas exchange measurement for steady‐state stomatal conductance model calibration

Kyle T. Rizzo, Thomas N. Buckley, Brian Bailey, Tong Lei
New Phytologist
Plant Water Relations and Carbon Dynamics
article

Leaf gas exchange measurement for steady‐state stomatal conductance model calibration

Kyle T. Rizzo, Thomas N. Buckley, Brian Bailey, Tong Lei
article en

Abstract

Stomatal conductance models are essential components of crop and land surface models, but collecting data to calibrate them remains challenging due to large leaf-to-leaf variability, slow stomatal kinetics, and a lack of consistent measurement protocols, leading to unknown reliability and representativeness of calibrated model parameter estimates. We combined field measurements, 3D biophysical simulations, and statistical power analyses to quantify parameter calibration discrepancies with different instruments under different conditions to provide recommendations for protocol development. Leaf-to-leaf physiological variability in measured steady-state stomatal conductance exceeded threefold under identical conditions, calling into question the use of few steady-state response curves to represent a canopy. Stomatal kinetics introduce systematic error in parameter calibration, and slower stomatal response times necessitated larger survey sample sizes to recover known stomatal model parameters of simulated data. Primary recommendations are as follows: survey measurements (c. 100 samples) are needed to sample leaf-to-leaf variability and can be supplemented by steady-state measurements to better represent environmental responses, survey measurements should maximize the range of leaf-level environmental conditions while minimizing transient effects, and steady-state measurements with controlled environmental conditions should maintain constant conditions for 15-45 min before measurement to allow for true stomatal steady state and not just instrument equilibrium.

New PhytologistVol. 250(1)
University of California, Davis (US)
National Science Foundation, U.S. Department of Agriculture, National Institute of Food and Agriculture
Life in Land
Openalex Percentile: Top 69%
Plant Water Relations and Carbon Dynamics
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