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A Dynamic Optimality Principle for Water Use Strategies Explains Isohydric to Anisohydric Plant Responses to Drought

Publication ,  Journal Article
Mrad, A; Sevanto, S; Domec, J-C; Liu, Y; Nakad, M; Katul, G
March 28, 2019

Optimality principles that underlie models of stomatal kinetics require identifying and formulating the gain and the costs involved in opening stomata. While the gain has been linked to larger carbon acquisition, there is still debate as to the costs that limit stomatal opening. This work presents an Euler-Lagrange framework that accommodates water use strategy and various costs through the formulation of constraints. The reduction in plant hydraulic conductance due to cavitation is added as a new constraint above and beyond the hydrological balance and analyzed for three different types of whole-plant vulnerability curves. Model results show that differences in vulnerability curves alone lead to relatively iso- and aniso-hydric stomatal behavior. Moreover, this framework explains how the presence of competition (biotic or abiotic) for water alters stomatal response to declining soil water content. This contribution corroborates previous research that predicts that a plant's environment (e.g., competition, soil processes) significantly affects its response to drought and supplies the required mathematical machinery to represent this complexity. The method adopted here disentangles cause and effect of the opening and closure of stomata and complements recent mechanistic models of stomatal response to drought.

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March 28, 2019
 

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Mrad, A., Sevanto, S., Domec, J.-C., Liu, Y., Nakad, M., & Katul, G. (2019). A Dynamic Optimality Principle for Water Use Strategies Explains Isohydric to Anisohydric Plant Responses to Drought. https://doi.org/10.31219/osf.io/dsxm8
Mrad, Assaad, Sanna Sevanto, Jean-Christophe Domec, Yanlan Liu, Mazen Nakad, and Gabriel Katul. “A Dynamic Optimality Principle for Water Use Strategies Explains Isohydric to Anisohydric Plant Responses to Drought,” March 28, 2019. https://doi.org/10.31219/osf.io/dsxm8.

DOI

Publication Date

March 28, 2019