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

Authors :
Manzoni, Stefano
Vico, Giulia
Katul, Gabriel
Fay, Philip A.
Polley, Wayne
Palmroth, Sari
Porporato, Amilcare
Source :
Functional Ecology. Jun2011, Vol. 25 Issue 3, p456-467. 12p. 2 Charts, 7 Graphs.
Publication Year :
2011

Abstract

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. 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. 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. 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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
02698463
Volume :
25
Issue :
3
Database :
Academic Search Index
Journal :
Functional Ecology
Publication Type :
Academic Journal
Accession number :
60368713
Full Text :
https://doi.org/10.1111/j.1365-2435.2010.01822.x