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A stomatal optimization model integrating leaf stomata-photosynthetic capacity regulation in response to soil water stress

Author

Listed:
  • Liu, Yong
  • Hu, Tiesong
  • Zhu, Rui
  • Chen, Qiuwen
  • Zeng, Xiang
  • Jing, Peiran
  • Huang, Yifan

Abstract

Leaf stomatal regulation of water-carbon exchange processes plays a crucial role in the water-carbon cycle. Uncovering the response mechanism of leaf gas exchange to soil water stress is challenging due to the complex effects of both the stomatal regulation (i.e., stomatal conductance, gs) and non-stomatal regulation (i.e., photosynthetic carboxylation capacity, Vcmax25). Different from previous studies that achieved stomatal and non-stomatal regulation in stomatal optimization models by linearly simplifying or independently optimizing Vcmax25, this study hypothesizes that Vcmax25 and gs are co-regulated by balancing intercellular CO₂ concentration (Ci). By adjusting stomatal opening to minimize water-carbon cost, a stomatal optimization model (SRSC model) that integrates the synergistic regulation of gs and Vcmax25 was developed. Experimental and numerical results show that the SRSC model accurately reproduces the stomatal response to environmental changes, especially for the low soil water potential conditions (Ψsoil<−2MPa) compared to the previous models, which increased the R2 of gs, photosynthetic rate (An), and Ci reaching 2.56 %, 1.97 %, and 9.04 %, respectively. Additionally, the SRSC model reasonably predicted a coordinated decline in gs and Vcmax25 and concurrently mitigated the classical models that simulate gs and leaf water potential responses deviating from the actual values under drought conditions. More importantly, the SRSC model revealed that experiencing drought and flooding stresses in rice improved intrinsic water use efficiency by increasing photosynthetic capacity. This study refines the application of the stomatal optimization model and enhances the mechanistic understanding of the stomatal optimization model to a certain extent.

Suggested Citation

  • Liu, Yong & Hu, Tiesong & Zhu, Rui & Chen, Qiuwen & Zeng, Xiang & Jing, Peiran & Huang, Yifan, 2025. "A stomatal optimization model integrating leaf stomata-photosynthetic capacity regulation in response to soil water stress," Agricultural Water Management, Elsevier, vol. 308(C).
  • Handle: RePEc:eee:agiwat:v:308:y:2025:i:c:s0378377424006218
    DOI: 10.1016/j.agwat.2024.109285
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    References listed on IDEAS

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    1. Meng Zhao & Geruo A & Yanlan Liu & Alexandra G. Konings, 2022. "Evapotranspiration frequently increases during droughts," Nature Climate Change, Nature, vol. 12(11), pages 1024-1030, November.
    2. Zhu, Rui & Hu, Tiesong & Wu, Fengyan & Liu, Yong & Zhou, Shan & Wang, Yanxuan, 2023. "Photosynthetic and hydraulic changes caused by water deficit and flooding stress increase rice’s intrinsic water-use efficiency," Agricultural Water Management, Elsevier, vol. 289(C).
    3. Yanlan Liu & Mukesh Kumar & Gabriel G. Katul & Xue Feng & Alexandra G. Konings, 2020. "Plant hydraulics accentuates the effect of atmospheric moisture stress on transpiration," Nature Climate Change, Nature, vol. 10(7), pages 691-695, July.
    4. Brendan Choat & Timothy J. Brodribb & Craig R. Brodersen & Remko A. Duursma & Rosana López & Belinda E. Medlyn, 2018. "Triggers of tree mortality under drought," Nature, Nature, vol. 558(7711), pages 531-539, June.
    5. Liu, Yong & Hu, Tiesong & Zhu, Rui & Li, Huandi & Chen, Qiuwen & Jing, Peiran & Mahmoud, Ali & Wang, Yanxuan & Li, Xiang, 2024. "Response of rice's hydraulic transport and photosynthetic capacity to drought-flood abrupt alternation," Agricultural Water Management, Elsevier, vol. 303(C).
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