The validity of optimal leaf traits modelled on environmental conditions

Title
The validity of optimal leaf traits modelled on environmental conditions
Publication Date
2019-02
Author(s)
Bloomfield, Keith J
Prentice, I Colin
Cernusak, Lucas A
Eamus, Derek
Medlyn, Belinda E
Rumman, Rizwana
Wright, Ian J
Boer, Matthias M
Cale, Peter
Cleverly, James
Egerton, John J G
Ellsworth, David S
Evans, Bradley J
( author )
OrcID: https://orcid.org/0000-0001-6675-3118
Email: bevans31@une.edu.au
UNE Id une-id:bevans31
Hayes, Lucy S
Hutchinson, Michael F
Liddell, Michael J
Macfarlane, Craig
Meyer, Wayne S
Togashi, Henrique F
Wardlaw, Tim
Zhu, Lingling
Atkin, Owen K
Type of document
Journal Article
Language
en
Entity Type
Publication
Publisher
Wiley-Blackwell Publishing Ltd
Place of publication
United Kingdom
DOI
10.1111/nph.15495
UNE publication id
une:1959.11/60153
Abstract

•The ratio of leaf intercellular to ambient CO2 (χ) is modulated by stomatal conductance (gs). These quantities link carbon (C) assimilation with transpiration, and along with photosynthetic capacities (Vcmax and Jmax) are required to model terrestrial C uptake. We use optimization criteria based on the growth environment to generate predicted values of photosynthetic and water-use efficiency traits and test these against a unique dataset.

•Leaf gas-exchange parameters and carbon isotope discrimination were analysed in relation to local climate across a continental network of study sites. Sun-exposed leaves of 50 species at seven sites were measured in contrasting seasons.

•Values of χ predicted from growth temperature and vapour pressure deficit were closely correlated to ratios derived from C isotope (δ13C) measurements. Correlations were stronger in the growing season. Predicted values of photosynthetic traits, including carboxylation capacity (Vcmax), derived from δ13C, growth temperature and solar radiation, showed meaningful agreement with inferred values derived from gas-exchange measurements. Betweensite differences in water-use efficiency were, however, only weakly linked to the plant’s growth environment and did not show seasonal variation.

•These results support the general hypothesis that many key parameters required by Earth system models are adaptive and predictable from plants’ growth environments.

Link
Citation
New Phytologist, 221(3), p. 1409-1423
ISSN
1469-8137
0028-646X
Start page
1409
End page
1423

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