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231226s2023 xx |||||o 00| ||eng c |
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|a 10.1111/nph.18620
|2 doi
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|a pubmed24n1162.xml
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|a (NLM)36377138
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|a DE-627
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|e rakwb
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|a eng
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| 100 |
1 |
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|a Potkay, Aaron
|e verfasserin
|4 aut
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| 245 |
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|a Do stomata optimize turgor-driven growth? A new framework for integrating stomata response with whole-plant hydraulics and carbon balance
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|c 2023
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
|b c
|2 rdamedia
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|a ƒa Online-Ressource
|b cr
|2 rdacarrier
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|a Date Completed 20.03.2023
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|a Date Revised 13.04.2023
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|a published: Print-Electronic
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|a CommentIn: New Phytol. 2023 Apr;238(2):457-460. - PMID 36924327
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|a Citation Status MEDLINE
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|a © 2022 The Authors. New Phytologist © 2022 New Phytologist Foundation.
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|a Every existing optimal stomatal model uses photosynthetic carbon assimilation as a proxy for plant evolutionary fitness. However, assimilation and growth are often decoupled, making assimilation less ideal for representing fitness when optimizing stomatal conductance to water vapor and carbon dioxide. Instead, growth should be considered a closer proxy for fitness. We hypothesize stomata have evolved to maximize turgor-driven growth, instead of assimilation, over entire plants' lifetimes, improving their abilities to compete and reproduce. We develop a stomata model that dynamically maximizes whole-stem growth following principles from turgor-driven growth models. Stomata open to assimilate carbohydrates that supply growth and osmotically generate turgor, while stomata close to prevent losses of turgor and growth due to negative water potentials. In steady state, the growth optimization model captures realistic stomatal, growth, and carbohydrate responses to environmental cues, reconciles conflicting interpretations within existing stomatal optimization theories, and explains patterns of carbohydrate storage and xylem conductance observed during and after drought. Our growth optimization hypothesis introduces a new paradigm for stomatal optimization models, elevates the role of whole-plant carbon use and carbon storage in stomatal functioning, and has the potential to simultaneously predict gross productivity, net productivity, and plant mortality through a single, consistent modeling framework
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|a Journal Article
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|a Research Support, U.S. Gov't, Non-P.H.S.
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| 650 |
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|a dynamic optimality
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| 650 |
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4 |
|a nonstructural carbohydrates
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| 650 |
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4 |
|a source-sink dynamics
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| 650 |
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4 |
|a stomatal optimization
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| 650 |
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4 |
|a tree growth
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| 650 |
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4 |
|a tree hydraulics
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| 650 |
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4 |
|a turgor-driven expansion
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| 650 |
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7 |
|a Carbohydrates
|2 NLM
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| 700 |
1 |
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|a Feng, Xue
|e verfasserin
|4 aut
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| 773 |
0 |
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|i Enthalten in
|t The New phytologist
|d 1979
|g 238(2023), 2 vom: 01. Apr., Seite 506-528
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|x 1469-8137
|7 nnns
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|g volume:238
|g year:2023
|g number:2
|g day:01
|g month:04
|g pages:506-528
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|u http://dx.doi.org/10.1111/nph.18620
|3 Volltext
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