A stomatal optimization model integrating leaf stomata-photosynthetic capacity regulation in response to soil water stress
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-s...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-03-01
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| Series: | Agricultural Water Management |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S0378377424006218 |
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| author | Yong Liu Tiesong Hu Rui Zhu Qiuwen Chen Xiang Zeng Peiran Jing Yifan Huang |
| author_facet | Yong Liu Tiesong Hu Rui Zhu Qiuwen Chen Xiang Zeng Peiran Jing Yifan Huang |
| author_sort | Yong Liu |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-b6ed5b3f812e442d9dbcf0a49684d62d |
| institution | Kabale University |
| issn | 1873-2283 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Agricultural Water Management |
| spelling | doaj-art-b6ed5b3f812e442d9dbcf0a49684d62d2025-01-25T04:10:45ZengElsevierAgricultural Water Management1873-22832025-03-01308109285A stomatal optimization model integrating leaf stomata-photosynthetic capacity regulation in response to soil water stressYong Liu0Tiesong Hu1Rui Zhu2Qiuwen Chen3Xiang Zeng4Peiran Jing5Yifan Huang6State Key Laboratory of Water Resources Engineering and Management, Wuhan University, Wuhan 430072, China; The National Key Laboratory of Water Disaster Prevention, Nanjing Hydraulic Research Institute, Nanjing 210098, ChinaState Key Laboratory of Water Resources Engineering and Management, Wuhan University, Wuhan 430072, China; Corresponding authors.Pearl River Water Resources Research Institute, Pearl River Water Resources Commission of the Ministry of Water Resources, Guangzhou 510611, China; Corresponding authors.The National Key Laboratory of Water Disaster Prevention, Nanjing Hydraulic Research Institute, Nanjing 210098, ChinaSchool of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, ChinaState Key Laboratory of Water Resources Engineering and Management, Wuhan University, Wuhan 430072, China; The National Key Laboratory of Water Disaster Prevention, Nanjing Hydraulic Research Institute, Nanjing 210098, ChinaSchool of Civil Engineering, Sun Yat-sen University, Guangzhou 510275, ChinaLeaf 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.http://www.sciencedirect.com/science/article/pii/S0378377424006218Optimization modelStomatal conductancePhotosynthetic carboxylation capacityDroughtWater use efficiency |
| spellingShingle | Yong Liu Tiesong Hu Rui Zhu Qiuwen Chen Xiang Zeng Peiran Jing Yifan Huang A stomatal optimization model integrating leaf stomata-photosynthetic capacity regulation in response to soil water stress Agricultural Water Management Optimization model Stomatal conductance Photosynthetic carboxylation capacity Drought Water use efficiency |
| title | A stomatal optimization model integrating leaf stomata-photosynthetic capacity regulation in response to soil water stress |
| title_full | A stomatal optimization model integrating leaf stomata-photosynthetic capacity regulation in response to soil water stress |
| title_fullStr | A stomatal optimization model integrating leaf stomata-photosynthetic capacity regulation in response to soil water stress |
| title_full_unstemmed | A stomatal optimization model integrating leaf stomata-photosynthetic capacity regulation in response to soil water stress |
| title_short | A stomatal optimization model integrating leaf stomata-photosynthetic capacity regulation in response to soil water stress |
| title_sort | stomatal optimization model integrating leaf stomata photosynthetic capacity regulation in response to soil water stress |
| topic | Optimization model Stomatal conductance Photosynthetic carboxylation capacity Drought Water use efficiency |
| url | http://www.sciencedirect.com/science/article/pii/S0378377424006218 |
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