ArticleJournal of experimental botany2019
A novel optimization approach incorporating non-stomatal limitations predicts stomatal behaviour in species from six plant functional types.
Article in Journal of experimental botany, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 30 citations in OpenAlex.
- Higher Light Intensity Combined with Optimized Photoperiod Enhances Growth and Tassel Development in Maize Inbred Line.Plants (Basel, Switzerland) · 2026Article
- Altitude-adaptive water use strategies of grassland are constrained by air dryness and stoichiometry in southwest of China.Frontiers in plant science · 2026Article
- Article
- Intercomparison of methods to estimate gross primary production based on COBiogeosciences (Online) · 2022Article
- Non-stomatal processes reduce gross primary productivity in temperate forest ecosystems during severe edaphic drought.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020Article
- Physiological, Biochemical and Reproductive Studies onPlants (Basel, Switzerland) · 2020Article
- Drought stress strengthens the link between chlorophyll fluorescence parameters and photosynthetic traits.PeerJ · 2020Article
Corrections and comments
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Authors and funding
5 authors at 4 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The primary function of stomata is to minimize plant water loss while maintaining CO2 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 (gs) 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 gs formulations (CAP versus MES) on species from six plant functional types (C4 crop, C3 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.
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