Simulation of citrus foliar gas exchange across diverse meteorological conditions: application of the optimal stomatal regulation method
Introduction: The optimal stomatal regulation theory provides an eco-evolutionary framework for interpreting the trade-off between CO2 uptake and water loss. This theory postulates that the marginal water cost of carbon gain (λ=∂E/∂A) remains approximately constant over short timescales, thereby offering a mechanistic basis for predicting stomatal behavior and gas exchange.Methods: In this study, leaf-level meteorological variables and gas exchange parameters of orchard citrus were measured throughout the entire phenological period during 2021–2022. We developed a family of optimal stomatal conductance-based models (OSCMs), comprising six forms: Rubisco-limited forms (OSCvc and OSCvcd), RuBP-regeneration-limited forms (OSCvj and OSCvjd), and combined forms that dynamically select the prevailing biochemical limitation (OSC and OSCd).Results: The key parameter λ was estimated daily and averaged over the entire phenological period. Using daily λ inputs, the three models produced stomatal conductance (gs) with accuracies ranked as OSCvjd (R2 = 0.73) > OSCd (0.63) > OSCvcd (0.40). When a long-term constant λ was applied, model performance declined with accuracies ranked as OSCvj (0.66) > OSC (0.52) > OSCvc (0.38).Discussion: The OSC model also produced intercellular CO2 concentration (ci) and photosynthesis (A) reasonably well (R2 = 0.78 and 0.48, respectively). Under moderate meteorological conditions (air temperature 30–40 °C and vapor pressure deficit 1–2 kPa), the OSC model showed its best performance with a mean absolute relative error of 35.2% for gs estimation. Overall, the OSCMs provided a mechanistic approach to simulate citrus leaf gas exchange requiring minimal species-specific traits and routine meteorological inputs. This modeling strategy supports rapid assessment of plant physiological status and estimation of foliar carbon-water fluxes in orchard management under subtropical climates.
| Item Type | Article |
|---|---|
| Open Access | Gold |
| Additional information | Funding This study was supported by the National Natural Science Foundation of China (52279041, 52309050), Sichuan Science and Technology Program (2022YFN0021, 2023YFN0024, 2024ZHCG0101, 2024YFHZ0200, 2024YFHZ0217), Shandong Provincial Natural Science Fund of China (ZR2022ME033) |
| Teams | Soil Health and Management |
| Date Deposited | 31 Mar 2026 11:25 |
| Last Modified | 02 Apr 2026 15:07 |
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