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A Whole Leaf Comparative Study of Stomatal Conductance Models
We employed a detailed whole leaf hydraulic model to study the local operation of three stomatal conductance models distributed on the scale of a whole leaf. We quantified the behavior of these models by examining the leaf-area distributions of photosynthesis, transpiration, stomatal conductance, an...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9036488/ https://www.ncbi.nlm.nih.gov/pubmed/35481142 http://dx.doi.org/10.3389/fpls.2022.766975 |
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author | Sakurai, Gen Miklavcic, Stanley J. |
author_facet | Sakurai, Gen Miklavcic, Stanley J. |
author_sort | Sakurai, Gen |
collection | PubMed |
description | We employed a detailed whole leaf hydraulic model to study the local operation of three stomatal conductance models distributed on the scale of a whole leaf. We quantified the behavior of these models by examining the leaf-area distributions of photosynthesis, transpiration, stomatal conductance, and guard cell turgor pressure. We gauged the models' local responses to changes in environmental conditions of carbon dioxide concentration, relative humidity, and light irradiance. We found that a stomatal conductance model that includes mechanical processes dependent on local variables predicts a spatial variation of physiological activity across the leaf: the leaf functions of photosynthesis and transpiration are not uniformly operative even when external conditions are uniform. The gradient pattern of hydraulic pressure which is needed to produce transpiration from the whole leaf is derived from the gradient patterns of turgor pressures of guard cells and epidermal cells and consequently leads to nonuniform spatial distribution patterns of transpiration and photosynthesis via the mechanical stomatal model. Our simulation experiments, comparing the predictions of two versions of a mechanical stomatal conductance model, suggest that leaves exhibit a more complex spatial distribution pattern of both photosynthesis and transpiration rate and more complex dependencies on environmental conditions when a non-linear relationship between the stomatal aperture and guard cell and epidermal cell turgor pressures is implemented. Our model studies offer a deeper understanding of the mechanism of stomatal conductance and point to possible future experimental measurements seeking to quantify the spatial distributions of several physiological activities taking place over a whole leaf. |
format | Online Article Text |
id | pubmed-9036488 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-90364882022-04-26 A Whole Leaf Comparative Study of Stomatal Conductance Models Sakurai, Gen Miklavcic, Stanley J. Front Plant Sci Plant Science We employed a detailed whole leaf hydraulic model to study the local operation of three stomatal conductance models distributed on the scale of a whole leaf. We quantified the behavior of these models by examining the leaf-area distributions of photosynthesis, transpiration, stomatal conductance, and guard cell turgor pressure. We gauged the models' local responses to changes in environmental conditions of carbon dioxide concentration, relative humidity, and light irradiance. We found that a stomatal conductance model that includes mechanical processes dependent on local variables predicts a spatial variation of physiological activity across the leaf: the leaf functions of photosynthesis and transpiration are not uniformly operative even when external conditions are uniform. The gradient pattern of hydraulic pressure which is needed to produce transpiration from the whole leaf is derived from the gradient patterns of turgor pressures of guard cells and epidermal cells and consequently leads to nonuniform spatial distribution patterns of transpiration and photosynthesis via the mechanical stomatal model. Our simulation experiments, comparing the predictions of two versions of a mechanical stomatal conductance model, suggest that leaves exhibit a more complex spatial distribution pattern of both photosynthesis and transpiration rate and more complex dependencies on environmental conditions when a non-linear relationship between the stomatal aperture and guard cell and epidermal cell turgor pressures is implemented. Our model studies offer a deeper understanding of the mechanism of stomatal conductance and point to possible future experimental measurements seeking to quantify the spatial distributions of several physiological activities taking place over a whole leaf. Frontiers Media S.A. 2022-04-11 /pmc/articles/PMC9036488/ /pubmed/35481142 http://dx.doi.org/10.3389/fpls.2022.766975 Text en Copyright © 2022 Sakurai and Miklavcic. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Plant Science Sakurai, Gen Miklavcic, Stanley J. A Whole Leaf Comparative Study of Stomatal Conductance Models |
title | A Whole Leaf Comparative Study of Stomatal Conductance Models |
title_full | A Whole Leaf Comparative Study of Stomatal Conductance Models |
title_fullStr | A Whole Leaf Comparative Study of Stomatal Conductance Models |
title_full_unstemmed | A Whole Leaf Comparative Study of Stomatal Conductance Models |
title_short | A Whole Leaf Comparative Study of Stomatal Conductance Models |
title_sort | whole leaf comparative study of stomatal conductance models |
topic | Plant Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9036488/ https://www.ncbi.nlm.nih.gov/pubmed/35481142 http://dx.doi.org/10.3389/fpls.2022.766975 |
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