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A novel optimization approach incorporating non-stomatal limitations predicts stomatal behaviour in species from six plant functional types
The primary function of stomata is to minimize plant water loss while maintaining CO(2) assimilation. Stomatal water loss incurs an indirect cost to photosynthesis in the form of non-stomatal limitations (NSL) via reduced carboxylation capacity (CAP) and/or mesophyll conductance (MES). Two optimal f...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6411372/ https://www.ncbi.nlm.nih.gov/pubmed/30715494 http://dx.doi.org/10.1093/jxb/erz020 |
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author | Gimeno, Teresa E Saavedra, Noelia Ogée, Jérôme Medlyn, Belinda E Wingate, Lisa |
author_facet | Gimeno, Teresa E Saavedra, Noelia Ogée, Jérôme Medlyn, Belinda E Wingate, Lisa |
author_sort | Gimeno, Teresa E |
collection | PubMed |
description | The primary function of stomata is to minimize plant water loss while maintaining CO(2) assimilation. Stomatal water loss incurs an indirect cost to photosynthesis in the form of non-stomatal limitations (NSL) via reduced carboxylation capacity (CAP) and/or mesophyll conductance (MES). Two optimal formulations for stomatal conductance (g(s)) arise from the assumption of each type of NSL. In reality, both NSL could coexist, but one may prevail for a given leaf ontogenetic stage or plant functional type, depending on leaf morphology. We tested the suitability of two g(s) formulations (CAP versus MES) on species from six plant functional types (C(4) crop, C(3) grass, fern, conifer, evergreen, and deciduous angiosperm trees). MES and CAP parameters (the latter proportional to the marginal water cost to carbon gain) decreased with water availability only in deciduous angiosperm trees, while there were no clear differences between leaf ontogenetic stages. Both CAP and MES formulations fit our data in most cases, particularly under low water availability. For ferns, stomata appeared to operate optimally only when subjected to water stress. Overall, the CAP formulation provided a better fit across all species, suggesting that sub-daily stomatal responses minimize NSL by reducing carboxylation capacity predominantly, regardless of leaf morphology and ontogenetic stage. |
format | Online Article Text |
id | pubmed-6411372 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-64113722019-03-15 A novel optimization approach incorporating non-stomatal limitations predicts stomatal behaviour in species from six plant functional types Gimeno, Teresa E Saavedra, Noelia Ogée, Jérôme Medlyn, Belinda E Wingate, Lisa J Exp Bot Research Papers The primary function of stomata is to minimize plant water loss while maintaining CO(2) assimilation. Stomatal water loss incurs an indirect cost to photosynthesis in the form of non-stomatal limitations (NSL) via reduced carboxylation capacity (CAP) and/or mesophyll conductance (MES). Two optimal formulations for stomatal conductance (g(s)) arise from the assumption of each type of NSL. In reality, both NSL could coexist, but one may prevail for a given leaf ontogenetic stage or plant functional type, depending on leaf morphology. We tested the suitability of two g(s) formulations (CAP versus MES) on species from six plant functional types (C(4) crop, C(3) grass, fern, conifer, evergreen, and deciduous angiosperm trees). MES and CAP parameters (the latter proportional to the marginal water cost to carbon gain) decreased with water availability only in deciduous angiosperm trees, while there were no clear differences between leaf ontogenetic stages. Both CAP and MES formulations fit our data in most cases, particularly under low water availability. For ferns, stomata appeared to operate optimally only when subjected to water stress. Overall, the CAP formulation provided a better fit across all species, suggesting that sub-daily stomatal responses minimize NSL by reducing carboxylation capacity predominantly, regardless of leaf morphology and ontogenetic stage. Oxford University Press 2019-02-15 2019-02-04 /pmc/articles/PMC6411372/ /pubmed/30715494 http://dx.doi.org/10.1093/jxb/erz020 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of the Society for Experimental Biology. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Papers Gimeno, Teresa E Saavedra, Noelia Ogée, Jérôme Medlyn, Belinda E Wingate, Lisa A novel optimization approach incorporating non-stomatal limitations predicts stomatal behaviour in species from six plant functional types |
title | A novel optimization approach incorporating non-stomatal limitations predicts stomatal behaviour in species from six plant functional types |
title_full | A novel optimization approach incorporating non-stomatal limitations predicts stomatal behaviour in species from six plant functional types |
title_fullStr | A novel optimization approach incorporating non-stomatal limitations predicts stomatal behaviour in species from six plant functional types |
title_full_unstemmed | A novel optimization approach incorporating non-stomatal limitations predicts stomatal behaviour in species from six plant functional types |
title_short | A novel optimization approach incorporating non-stomatal limitations predicts stomatal behaviour in species from six plant functional types |
title_sort | novel optimization approach incorporating non-stomatal limitations predicts stomatal behaviour in species from six plant functional types |
topic | Research Papers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6411372/ https://www.ncbi.nlm.nih.gov/pubmed/30715494 http://dx.doi.org/10.1093/jxb/erz020 |
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