The validity of optimal leaf traits modelled on environmental conditions

Bloomfield, KJ; Prentice, IC; Cernusak, LA; Eamus, D; Medlyn, BE; Rumman, R; Wright, IJ; Boer, MM; Cale, P; Cleverly, J; Egerton, JJG; Ellsworth, DS; Evans, BJ; Hayes, LS; Hutchinson, MF; Liddell, MJ; Macfarlane, C; Meyer, WS; Togashi, HF; Wardlaw, T; Zhu, L; Atkin, OK

The validity of optimal leaf traits modelled on environmental conditions

Bloomfield, KJ Prentice, IC Cernusak, LA Eamus, D

Medlyn, BE Rumman, R Wright, IJ Boer, MM Cale, P Cleverly, J

Egerton, JJG Ellsworth, DS Evans, BJ Hayes, LS Hutchinson, MF Liddell, MJ Macfarlane, C Meyer, WS Togashi, HF Wardlaw, T Zhu, L Atkin, OK

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Publication Type:: Journal Article
Citation:: New Phytologist, 2019, 221 (3), pp. 1409 - 1423
Issue Date:: 2019-02-01

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Field	Value	Language
dc.contributor.author	Bloomfield, KJ	en_US
dc.contributor.author	Prentice, IC	en_US
dc.contributor.author	Cernusak, LA	en_US
dc.contributor.author	Eamus, D https://orcid.org/0000-0003-2765-8040	en_US
dc.contributor.author	Medlyn, BE	en_US
dc.contributor.author	Rumman, R	en_US
dc.contributor.author	Wright, IJ	en_US
dc.contributor.author	Boer, MM	en_US
dc.contributor.author	Cale, P	en_US
dc.contributor.author	Cleverly, J https://orcid.org/0000-0002-2731-7150	en_US
dc.contributor.author	Egerton, JJG	en_US
dc.contributor.author	Ellsworth, DS	en_US
dc.contributor.author	Evans, BJ	en_US
dc.contributor.author	Hayes, LS	en_US
dc.contributor.author	Hutchinson, MF	en_US
dc.contributor.author	Liddell, MJ	en_US
dc.contributor.author	Macfarlane, C	en_US
dc.contributor.author	Meyer, WS	en_US
dc.contributor.author	Togashi, HF	en_US
dc.contributor.author	Wardlaw, T	en_US
dc.contributor.author	Zhu, L	en_US
dc.contributor.author	Atkin, OK	en_US
dc.date.available	2020-05-25T19:04:26Z
dc.date.issued	2019-02-01	en_US
dc.identifier.citation	New Phytologist, 2019, 221 (3), pp. 1409 - 1423	en_US
dc.identifier.issn	0028-646X	en_US
dc.identifier.uri	http://hdl.handle.net/10453/130889
dc.description.abstract	© 2018 The Authors. New Phytologist © 2018 New Phytologist Trust The ratio of leaf intercellular to ambient CO 2 (χ) is modulated by stomatal conductance (g s ). These quantities link carbon (C) assimilation with transpiration, and along with photosynthetic capacities (V cmax and J max ) 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 (δ 13 C) measurements. Correlations were stronger in the growing season. Predicted values of photosynthetic traits, including carboxylation capacity (V cmax ), derived from δ 13 C, growth temperature and solar radiation, showed meaningful agreement with inferred values derived from gas-exchange measurements. Between-site 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.	en_US
dc.relation	http://purl.org/au-research/grants/arc/DP140101150
dc.relation.ispartof	New Phytologist	en_US
dc.relation.isbasedon	10.1111/nph.15495	en_US
dc.subject.classification	Plant Biology & Botany	en_US
dc.subject.mesh	Plant Leaves	en_US
dc.subject.mesh	Carbon Isotopes	en_US
dc.subject.mesh	Linear Models	en_US
dc.subject.mesh	Reproducibility of Results	en_US
dc.subject.mesh	Environment	en_US
dc.subject.mesh	Photosynthesis	en_US
dc.subject.mesh	Electron Transport	en_US
dc.subject.mesh	Quantitative Trait, Heritable	en_US
dc.subject.mesh	Models, Biological	en_US
dc.subject.mesh	Plant Stomata	en_US
dc.title	The validity of optimal leaf traits modelled on environmental conditions	en_US
dc.type	Journal Article
utslib.citation.volume	3	en_US
utslib.citation.volume	221	en_US
utslib.for	0607 Plant Biology	en_US
utslib.for	06 Biological Sciences	en_US
utslib.for	07 Agricultural and Veterinary Sciences	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Science/School of Life Sciences
utslib.copyright.status	closed_access
pubs.issue	3	en_US
pubs.publication-status	Published	en_US
pubs.volume	221	en_US

Abstract:

© 2018 The Authors. New Phytologist © 2018 New Phytologist Trust The ratio of leaf intercellular to ambient CO 2 (χ) is modulated by stomatal conductance (g s ). These quantities link carbon (C) assimilation with transpiration, and along with photosynthetic capacities (V cmax and J max ) 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 (δ 13 C) measurements. Correlations were stronger in the growing season. Predicted values of photosynthetic traits, including carboxylation capacity (V cmax ), derived from δ 13 C, growth temperature and solar radiation, showed meaningful agreement with inferred values derived from gas-exchange measurements. Between-site 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.

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http://hdl.handle.net/10453/130889