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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao New Phytologistarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
New Phytologist
Article . 2025 . Peer-reviewed
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New Phytologist
Article . 2025
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Bounds on stomatal size can explain scaling with stomatal density in forest plants

Authors: Congcong Liu; Christopher D. Muir; Lawren Sack; Ying Li; Li Xu; Mingxu Li; Jiahui Zhang; +4 Authors

Bounds on stomatal size can explain scaling with stomatal density in forest plants

Abstract

Summary A prevailing hypothesis posits that achieving higher maximum rates of leaf carbon gain and water loss is constrained by geometry and/or selection to limit the allocation of epidermal area to stomata ( f S ). Under this ‘stomatal‐area minimization hypothesis’, higher g s,max is associated with greater numbers of smaller stomata because this trait combination increases g s,max with minimal increase in f S , leading to relative conservation of f S semi‐independent of g s,max due to coordination in stomatal size, density, and pore depth. An alternative hypothesis is that the evolution of higher g s,max can be enabled by a greater epidermal area allocated to stomata, leading to positive covariation between f S and g s,max ; we call this the ‘stomatal‐area adaptation hypothesis’. Under this hypothesis, the interspecific scaling between g s,max , stomatal density, and stomatal size is a by‐product of selection on a moving optimal g s,max . We integrated biophysical and evolutionary quantitative genetic modeling with phylogenetic comparative analyses of a global data set of stomatal density and size from 2408 vascular forest species. The models present specific assumptions of both hypotheses and deduce predictions that can be evaluated with our empirical analyses of forest plants. There are three main results. First, neither the stomatal‐area minimization nor adaptation hypothesis is sufficient to be supported. Second, estimates of interspecific scaling from common regression methods cannot reliably distinguish between hypotheses when stomatal size is bounded. Third, we reconcile both hypotheses with the data by including an additional assumption that stomatal size is bounded by a wide range and under selection; we refer to this synthetic hypothesis as the ‘stomatal adaptation + bounded size’ hypothesis. This study advances our understanding of scaling between stomatal size and density by mathematically describing specific assumptions of competing hypotheses, demonstrating that existing hypotheses are inconsistent with observations, and reconciling these hypotheses with phylogenetic comparative analyses by postulating a synthetic model of selection on g s,max , f S , and stomatal size.

Country
Netherlands
Related Organizations
Keywords

forests, maximum stomatal conductance, stomatal size, evolution, Plant Stomata, Forests, stomatal density, Models, Biological, Biological Evolution, Phylogeny, trade-off

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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