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Parsimony vs predictive and functional performance of three stomatal optimization principles in a big-leaf framework

Bassiouni, Maoya and Vico, Giulia (2021). Parsimony vs predictive and functional performance of three stomatal optimization principles in a big-leaf framework. New Phytologist. 231 , 586–600
[Research article]

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Abstract

Stomatal optimization models can improve estimates of water and carbon fluxes with relatively low complexity, yet there is no consensus on which formulations are most appropriate for ecosystem-scale applications. We implemented three existing analytical equations for stomatal conductance, based on different water penalty functions, in a big-leaf comparison framework, and determined which optimization principles were most consistent with flux tower observations from different biomes.

We used information theory to dissect controls of soil water supply and atmospheric demand on evapotranspiration in wet to dry conditions and to quantify missing or inadequate information in model variants. We ranked stomatal optimization principles based on parameter uncertainty, parsimony, predictive accuracy, and functional accuracy of the interactions between soil moisture, vapor pressure deficit, and evapotranspiration.

Performance was high for all model variants. Water penalty functions with explicit representation of plant hydraulics did not substantially improve predictive or functional accuracy of ecosystem-scale evapotranspiration estimates, and parameterizations were more uncertain, despite having physiological underpinnings at the plant level.

Stomatal optimization based on water use efficiency thus provided more information about ecosystem-scale evapotranspiration compared to those based on xylem vulnerability and proved more useful in improving ecosystem-scale models with less complexity.

Authors/Creators:Bassiouni, Maoya and Vico, Giulia
Title:Parsimony vs predictive and functional performance of three stomatal optimization principles in a big-leaf framework
Series Name/Journal:New Phytologist
Year of publishing :2021
Volume:231
Page range:586–600
Number of Pages:15
ISSN:0028-646X
Language:English
Publication Type:Research article
Article category:Scientific peer reviewed
Version:Published version
Full Text Status:Public
Subjects:(A) Swedish standard research categories 2011 > 1 Natural sciences > 106 Biological Sciences (Medical to be 3 and Agricultural to be 4) > Botany
Keywords:information theory, model performance, optimality theory, photosynthesis, stomatal conductance, transpiration, water use efficiency, xylem vulnerability
URN:NBN:urn:nbn:se:slu:epsilon-p-112102
Permanent URL:
http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-p-112102
Additional ID:
Type of IDID
DOI10.1111/nph.17392
Web of Science (WoS)000656282900001
ID Code:24772
Faculty:NJ - Fakulteten för naturresurser och jordbruksvetenskap
Department:(NL, NJ) > Dept. of Crop Production Ecology
Deposited By: SLUpub Connector
Deposited On:30 Jun 2021 14:25
Metadata Last Modified:30 Jun 2021 14:31

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