Department of Life Sciences, Georgina Mace Centre for the Living Planet, Imperial College London, Silwood Park Campus, Ascot, UK.
Departament de Biologia Animal, Biologia Vegetal i Ecologia, Univ Autònoma de Barcelona, Cerdanyola del Vallès, Spain.
Plant Cell Environ. 2024 Sep;47(9):3478-3493. doi: 10.1111/pce.14891. Epub 2024 Apr 8.
Stomatal opening in plant leaves is regulated through a balance of carbon and water exchange under different environmental conditions. Accurate estimation of stomatal regulation is crucial for understanding how plants respond to changing environmental conditions, particularly under climate change. A new generation of optimality-based modelling schemes determines instantaneous stomatal responses from a balance of trade-offs between carbon gains and hydraulic costs, but most such schemes do not account for biochemical acclimation in response to drought. Here, we compare the performance of six instantaneous stomatal optimisation models with and without accounting for photosynthetic acclimation. Using experimental data from 37 plant species, we found that accounting for photosynthetic acclimation improves the prediction of carbon assimilation in a majority of the tested models. Photosynthetic acclimation contributed significantly to the reduction of photosynthesis under drought conditions in all tested models. Drought effects on photosynthesis could not accurately be explained by the hydraulic impairment functions embedded in the stomatal models alone, indicating that photosynthetic acclimation must be considered to improve estimates of carbon assimilation during drought.
植物叶片的气孔开度通过在不同环境条件下的碳和水交换平衡来调节。准确估计气孔调节对于理解植物如何响应不断变化的环境条件(特别是在气候变化下)至关重要。新一代基于最优性的建模方案从碳收益和水力成本之间的权衡平衡来确定瞬时气孔响应,但大多数此类方案并未考虑干旱响应的生化适应。在这里,我们比较了六种具有和不具有光合作用适应考虑的瞬时气孔优化模型的性能。使用来自 37 种植物物种的实验数据,我们发现考虑光合作用适应可以提高大多数测试模型中对碳同化的预测。在所有测试的模型中,光合作用适应对干旱条件下光合作用的降低有显著贡献。仅通过气孔模型中嵌入的水力损伤函数无法准确解释干旱对光合作用的影响,这表明必须考虑光合作用适应才能在干旱期间提高对碳同化的估计。