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Optimal stomatal theory predicts CO2 responses of stomatal conductance in both gymnosperm and angiosperm trees.
Gardner, Anna; Jiang, Mingkai; Ellsworth, David S; MacKenzie, A Robert; Pritchard, Jeremy; Bader, Martin Karl-Friedrich; Barton, Craig V M; Bernacchi, Carl; Calfapietra, Carlo; Crous, Kristine Y; Dusenge, Mirindi Eric; Gimeno, Teresa E; Hall, Marianne; Lamba, Shubhangi; Leuzinger, Sebastian; Uddling, Johan; Warren, Jeffrey; Wallin, Göran; Medlyn, Belinda E.
Afiliación
  • Gardner A; Birmingham Institute of Forest Research, University of Birmingham, Edgbaston, B15 2TT, UK.
  • Jiang M; School of Biological Sciences, University of Birmingham, Edgbaston, B15 2TT, UK.
  • Ellsworth DS; Hawkesbury Institute for the Environment, Western Sydney University, Locked Bag 1797, Penrith, NSW, 2751, Australia.
  • MacKenzie AR; College of Life Sciences, Zhejiang University, 866 Yuhangtang Rd, Hangzhou, Zhejiang Province, China.
  • Pritchard J; Hawkesbury Institute for the Environment, Western Sydney University, Locked Bag 1797, Penrith, NSW, 2751, Australia.
  • Bader MK; Birmingham Institute of Forest Research, University of Birmingham, Edgbaston, B15 2TT, UK.
  • Barton CVM; School of Geography, Earth & Environmental Sciences, University of Birmingham, Edgbaston, B15 2TT, UK.
  • Bernacchi C; Birmingham Institute of Forest Research, University of Birmingham, Edgbaston, B15 2TT, UK.
  • Calfapietra C; School of Biological Sciences, University of Birmingham, Edgbaston, B15 2TT, UK.
  • Crous KY; Department of Forestry and Wood Technology, Linnaeus University, Växjö, 351 95, Sweden.
  • Dusenge ME; Hawkesbury Institute for the Environment, Western Sydney University, Locked Bag 1797, Penrith, NSW, 2751, Australia.
  • Gimeno TE; USDA-ARS Global Change and Photosynthesis Research Unit, Urbana, IL, 61801, USA.
  • Hall M; Institute of Research on Terrestrial Ecosystems (IRET), National Research Council of Italy (CNR), Porano, 05010, Italy.
  • Lamba S; Hawkesbury Institute for the Environment, Western Sydney University, Locked Bag 1797, Penrith, NSW, 2751, Australia.
  • Leuzinger S; Western Centre for Climate Change, Sustainable Livelihoods and Health, Department of Geography, The University of Western Ontario, London, ON, N6A 5C2, Canada.
  • Uddling J; CREAF, Bellaterra (Cerdanyola del Vallès), Catalonia, 08193, Spain.
  • Warren J; Basque Centre for Climate Change (BC3), Leioa, 48940, Spain.
  • Wallin G; Centre for Environmental and Climate Science, Lund University, Sölvegatan 37, Lund, 223 62, Sweden.
  • Medlyn BE; Department of Biological and Environmental Sciences, University of Gothenburg, PO Box 461, Gothenburg, 40530, Sweden.
New Phytol ; 237(4): 1229-1241, 2023 02.
Article en En | MEDLINE | ID: mdl-36373000
Optimal stomatal theory predicts that stomata operate to maximise photosynthesis (Anet ) and minimise transpirational water loss to achieve optimal intrinsic water-use efficiency (iWUE). We tested whether this theory can predict stomatal responses to elevated atmospheric CO2 (eCO2 ), and whether it can capture differences in responsiveness among woody plant functional types (PFTs). We conducted a meta-analysis of tree studies of the effect of eCO2 on iWUE and its components Anet and stomatal conductance (gs ). We compared three PFTs, using the unified stomatal optimisation (USO) model to account for confounding effects of leaf-air vapour pressure difference (D). We expected smaller gs , but greater Anet , responses to eCO2 in gymnosperms compared with angiosperm PFTs. We found that iWUE increased in proportion to increasing eCO2 in all PFTs, and that increases in Anet had stronger effects than reductions in gs . The USO model correctly captured stomatal behaviour with eCO2 across most datasets. The chief difference among PFTs was a lower stomatal slope parameter (g1 ) for the gymnosperm, compared with angiosperm, species. Land surface models can use the USO model to describe stomatal behaviour under changing atmospheric CO2 conditions.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Árboles / Magnoliopsida Tipo de estudio: Prognostic_studies / Risk_factors_studies / Systematic_reviews Idioma: En Revista: New Phytol Asunto de la revista: BOTANICA Año: 2023 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Árboles / Magnoliopsida Tipo de estudio: Prognostic_studies / Risk_factors_studies / Systematic_reviews Idioma: En Revista: New Phytol Asunto de la revista: BOTANICA Año: 2023 Tipo del documento: Article