Optimizing stomatal conductance for maximum carbon gain under water stress: a meta-analysis across plant functional types and climates

Authors

  • Stefano Manzoni,

    1. Civil and Environmental Engineering Department, Box 90287, Duke University, Durham, North Carolina 27708-0287, USA
    2. Nicholas School of the Environment, Duke University, Box 90328, Durham, North Carolina 27708, USA
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  • Giulia Vico,

    1. Civil and Environmental Engineering Department, Box 90287, Duke University, Durham, North Carolina 27708-0287, USA
    2. Nicholas School of the Environment, Duke University, Box 90328, Durham, North Carolina 27708, USA
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  • Gabriel Katul,

    1. Civil and Environmental Engineering Department, Box 90287, Duke University, Durham, North Carolina 27708-0287, USA
    2. Nicholas School of the Environment, Duke University, Box 90328, Durham, North Carolina 27708, USA
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  • Philip A. Fay,

    1. USDA-ARS Grassland Soil and Water Research Laboratory, 808 E Blackland Rd, Temple, Texas 76502, USA
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  • Wayne Polley,

    1. USDA-ARS Grassland Soil and Water Research Laboratory, 808 E Blackland Rd, Temple, Texas 76502, USA
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  • Sari Palmroth,

    1. Nicholas School of the Environment, Duke University, Box 90328, Durham, North Carolina 27708, USA
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  • Amilcare Porporato

    Corresponding author
    1. Civil and Environmental Engineering Department, Box 90287, Duke University, Durham, North Carolina 27708-0287, USA
    2. Nicholas School of the Environment, Duke University, Box 90328, Durham, North Carolina 27708, USA
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Correspondence author. E-mail: amilcare@duke.edu

Summary

1. Quantification of stomatal responses to environmental variables, in particular to soil water status, is needed to model carbon and water exchange rates between plants and the atmosphere.

2. Models based on stomatal optimality theory successfully describe leaf gas exchange under different environmental conditions, but the effects of water availability on the key optimization parameter [the marginal water use efficiency (WUE), λ = ∂A/∂E] has resisted complete theoretical treatment. Building on previous optimal leaf gas exchange models, we developed an analytical equation to estimate λ from gas exchange observations along gradients of soil water availability. This expression was then used in a meta-analysis of about 50 species to investigate patterns of variation in λ.

3. Assuming that cuticular water losses are negligible λ increases under mild water stress but decreases when severe water stress limits photosynthesis. When cuticular conductance is considered, however, λ increases monotonically with increasing water stress, in agreement with previous theoretical predictions. Moreover, the shape of these response curves to soil water availability changes with plant functional type and climatic conditions. In general, λ is lower in species grown in dry climates, indicating lower marginal WUE.

4. The proposed parameterization provides a framework to assess the responses of leaf gas exchange to changes in water availability. Moreover, the model can be extended to scale leaf-level fluxes to the canopy and ecosystem level.

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