Discounting Water for Optimal Carbon Gain as a Basis of Stomatal Closure

IF 8.3 Q1 GEOSCIENCES, MULTIDISCIPLINARY AGU Advances Pub Date : 2024-06-05 DOI:10.1029/2024AV001287
Mazen Nakad
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Abstract

The exchange of carbon dioxide and water vapor between terrestrial ecosystems and the atmosphere is regulated by stomata (small pores in the leaves of plants). Unsurprisingly, environmental factors controlling the opening and closure of stomata has been sought as early as 1800. One approach, popularized in the early 1970s, is a stomatal optimization framework. This framework is based on the hypothesis that plants optimize carbon gain subject to water loss or water availability constraints. This constraint optimization problem was solved in various forms assuming instantaneous adjustments of stomatal aperture to maximize a reward function with no future foresight or legacy effects. Holtzman et al. (2024, https://doi.org/10.1029/2023av001113) offers a novel approach that can diagnose the effective timescale over which the reward function maximization must be time-integrated. The developed method thus optimizes an integrated carbon gain function but adjusted by a discount factor subject to water availability in the root zone. The discount factor considers how the plant values carbon gain to save water and its timescale can be inferred from observations because the model is analytically tractable. The results suggest that the most important climate factor that determines this discount timescale is multi-annual mean of the longest dry period during the growing season. The findings highlight how local climate traits influence the spatial variation in ecosystem-level water use strategies. This sets the stage for expanding such a framework to cases where multiple constraints act in concert while operating at distinct time scales.

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折算水分以获得最佳碳收益是气孔关闭的基础
陆地生态系统与大气之间的二氧化碳和水蒸气交换是由气孔(植物叶片上的小孔)调节的。因此,人们早在 1800 年就开始寻找控制气孔开闭的环境因素。20 世纪 70 年代初流行的一种方法是气孔优化框架。该框架基于这样一个假设:植物在水分损失或水分可用性约束条件下优化碳的获得。这种约束优化问题的解决有多种形式,假定气孔孔径瞬时调整,以最大化奖励函数,而没有未来预见或遗留效应。Holtzman 等人(2024, https://doi.org/10.1029/2023av001113)提供了一种新颖的方法,可以诊断出奖励函数最大化必须进行时间整合的有效时间尺度。因此,所开发的方法优化了综合碳增益函数,但根据根区的水分供应情况,用折扣系数进行了调整。折扣系数考虑的是植物如何重视碳增益以节约用水,其时间尺度可从观测结果中推断,因为该模型在分析上是可行的。结果表明,决定这一折扣时间尺度的最重要气候因素是生长季节最长干旱期的多年平均值。研究结果凸显了当地气候特征如何影响生态系统层面用水策略的空间变化。这为将这种框架扩展到多种限制因素共同作用,同时在不同时间尺度上运行的情况奠定了基础。
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