Literature DB >> 14975851

Optimal control of gas exchange.

Pertti Hari1, Annikki Mäkelä, Eeva Korpilahti, Maria Holmberg.   

Abstract

A major difficulty in evaluating the optimization theory of leaf gas exchange under conditions of water deficit has been that of obtaining suitable experimental data. Mathematical solutions to three formulations of optimal stomatal control are presented which can be tested experimentally. First, it is assumed that the movement of stomata and changes in environmental factors are slow compared to changes in the internal CO(2) concentration. The optimization problem is solved under this assumption, and the procedures for testing the solution experimentally are described. Second, instantaneous stomatal response is postulated and the solution suggests that very rapid oscillations provide optimal CO(2) uptake. Third, variable stomatal dynamics are postulated and the mathematical solution shown to be similar to that of the second case. The second and third cases can also be tested empirically.

Entities:  

Year:  1986        PMID: 14975851     DOI: 10.1093/treephys/2.1-2-3.169

Source DB:  PubMed          Journal:  Tree Physiol        ISSN: 0829-318X            Impact factor:   4.196


  11 in total

1.  Model-based analysis of avoidance of ozone stress by stomatal closure in Siebold's beech (Fagus crenata).

Authors:  Yasutomo Hoshika; Makoto Watanabe; Naoki Inada; Takayoshi Koike
Journal:  Ann Bot       Date:  2013-07-31       Impact factor: 4.357

2.  Optimal stomatal behavior with competition for water and risk of hydraulic impairment.

Authors:  Adam Wolf; William R L Anderegg; Stephen W Pacala
Journal:  Proc Natl Acad Sci U S A       Date:  2016-10-31       Impact factor: 11.205

3.  A stomatal optimization theory to describe the effects of atmospheric CO2 on leaf photosynthesis and transpiration.

Authors:  Gabriel Katul; Stefano Manzoni; Sari Palmroth; Ram Oren
Journal:  Ann Bot       Date:  2009-12-08       Impact factor: 4.357

4.  On the complementary relationship between marginal nitrogen and water-use efficiencies among Pinus taeda leaves grown under ambient and CO2-enriched environments.

Authors:  Sari Palmroth; Gabriel G Katul; Chris A Maier; Eric Ward; Stefano Manzoni; Giulia Vico
Journal:  Ann Bot       Date:  2013-01-08       Impact factor: 4.357

5.  A model bridging waterlogging, stomatal behavior and water use in trees in drained peatland.

Authors:  Che Liu; Qian Wang; Annikki Mäkelä; Hannu Hökkä; Mikko Peltoniemi; Teemu Hölttä
Journal:  Tree Physiol       Date:  2022-09-08       Impact factor: 4.561

6.  Optimization can provide the fundamental link between leaf photosynthesis, gas exchange and water relations.

Authors:  Ross M Deans; Timothy J Brodribb; Florian A Busch; Graham D Farquhar
Journal:  Nat Plants       Date:  2020-09-07       Impact factor: 15.793

7.  Increasing water use efficiency along the C3 to C4 evolutionary pathway: a stomatal optimization perspective.

Authors:  Danielle A Way; Gabriel G Katul; Stefano Manzoni; Giulia Vico
Journal:  J Exp Bot       Date:  2014-05-23       Impact factor: 6.992

8.  Field and controlled environment measurements show strong seasonal acclimation in photosynthesis and respiration potential in boreal Scots pine.

Authors:  Pasi Kolari; Tommy Chan; Albert Porcar-Castell; Jaana Bäck; Eero Nikinmaa; Eija Juurola
Journal:  Front Plant Sci       Date:  2014-12-12       Impact factor: 5.753

9.  Newtonian boreal forest ecology: The Scots pine ecosystem as an example.

Authors:  Pertti Hari; Tuomas Aakala; Juho Aalto; Jaana Bäck; Jaakko Hollmén; Kalev Jõgiste; Kourosh Kabiri Koupaei; Mika A Kähkönen; Mikko Korpela; Liisa Kulmala; Eero Nikinmaa; Jukka Pumpanen; Mirja Salkinoja-Salonen; Pauliina Schiestl-Aalto; Asko Simojoki; Mikko Havimo
Journal:  PLoS One       Date:  2017-06-14       Impact factor: 3.240

10.  A Modeling Approach to Quantify the Effects of Stomatal Behavior and Mesophyll Conductance on Leaf Water Use Efficiency.

Authors:  Dany P Moualeu-Ngangue; Tsu-Wei Chen; Hartmut Stützel
Journal:  Front Plant Sci       Date:  2016-06-17       Impact factor: 5.753

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