Incorporating photosynthetic acclimation improves stomatal optimisation models.

carbon assimilation photosynthetic cost soil drought stomatal conductance stomatal limitation

Journal

Plant, cell & environment
ISSN: 1365-3040
Titre abrégé: Plant Cell Environ
Pays: United States
ID NLM: 9309004

Informations de publication

Date de publication:
08 Apr 2024
Historique:
revised: 04 03 2024
received: 12 10 2023
accepted: 08 03 2024
medline: 9 4 2024
pubmed: 9 4 2024
entrez: 8 4 2024
Statut: aheadofprint

Résumé

Stomatal opening in plant leaves is regulated through a balance of carbon and water exchange under different environmental conditions. Accurate estimation of stomatal regulation is crucial for understanding how plants respond to changing environmental conditions, particularly under climate change. A new generation of optimality-based modelling schemes determines instantaneous stomatal responses from a balance of trade-offs between carbon gains and hydraulic costs, but most such schemes do not account for biochemical acclimation in response to drought. Here, we compare the performance of six instantaneous stomatal optimisation models with and without accounting for photosynthetic acclimation. Using experimental data from 37 plant species, we found that accounting for photosynthetic acclimation improves the prediction of carbon assimilation in a majority of the tested models. Photosynthetic acclimation contributed significantly to the reduction of photosynthesis under drought conditions in all tested models. Drought effects on photosynthesis could not accurately be explained by the hydraulic impairment functions embedded in the stomatal models alone, indicating that photosynthetic acclimation must be considered to improve estimates of carbon assimilation during drought.

Identifiants

pubmed: 38589983
doi: 10.1111/pce.14891
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : H2020 European Research Council
Organisme : Schmidt Futures programme
Organisme : National Member Organizations
Organisme : Strategic Initiatives Program of the International Institute for Applied Systems Analysis
Organisme : H2020 Marie Sklodowska-Curie Actions
Organisme : Australian Research Council
Organisme : MICIU/AEI/10.13039/501100011033
Organisme : NextGenerationEU/PRTR

Informations de copyright

© 2024 John Wiley & Sons Ltd.

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Auteurs

Victor Flo (V)

Department of Life Sciences, Georgina Mace Centre for the Living Planet, Imperial College London, Silwood Park Campus, Ascot, UK.
Departament de Biologia Animal, Biologia Vegetal i Ecologia, Univ Autònoma de Barcelona, Cerdanyola del Vallès, Spain.

Jaideep Joshi (J)

Department of Geosciences, Institute of Geography, University of Bern, Bern, Switzerland.
Oeschger Centre for Climate Change Research, Faculty of Science, University of Bern, Bern, Switzerland.
Advancing Systems Analysis Program, International Institute for Applied Systems Analysis, Laxenburg, Austria.
Complexity Science and Evolution Unit, Okinawa Institute of Science and Technology Graduate University, Onna, Okinawa, Japan.

Manon Sabot (M)

ARC Centre of Excellence for Climate Extremes, Sydney, New South Wales, Australia.
Climate Change Research Centre, University of New South Wales, Sydney, New South Wales, Australia.
Department of Biogeochemical Signals, Max Planck Institute for Biogeochemistry, Jena, Germany.

David Sandoval (D)

Department of Life Sciences, Georgina Mace Centre for the Living Planet, Imperial College London, Silwood Park Campus, Ascot, UK.

Iain Colin Prentice (IC)

Department of Life Sciences, Georgina Mace Centre for the Living Planet, Imperial College London, Silwood Park Campus, Ascot, UK.

Classifications MeSH