Components of leaf-trait variation along environmental gradients
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Supporting information
Supporting information
Author(s)
Type
Journal Article
Abstract
Leaf area (LA), mass per area (LMA), nitrogen per unit area (Narea) and the leaf-internal to ambient CO2 ratio (χ) are fundamental traits for plant functional ecology and vegetation modelling. Here we aimed to assess how their variation, within and between species, tracks environmental gradients.
Measurements were made on 705 species from 116 sites within a broad north–south transect from tropical to temperate Australia. Trait responses to environment were quantified using multiple regression; within- and between-species responses were compared using analysis of covariance and trait-gradient analysis.
Leaf area, the leaf economics spectrum (indexed by LMA and Narea) and χ (from stable carbon isotope ratios) varied almost independently among species. Across sites, however, χ and LA increased with mean growing-season temperature (mGDD0) and decreased with vapour pressure deficit (mVPD0) and soil pH. LMA and Narea showed the reverse pattern. Climate responses agreed with expectations based on optimality principles. Within-species variability contributed < 10% to geographical variation in LA but > 90% for χ, with LMA and Narea intermediate.
These findings support the hypothesis that acclimation within individuals, adaptation within species and selection among species combine to create predictable relationships between traits and environment. However, the contribution of acclimation/adaptation vs species selection differs among traits.
Measurements were made on 705 species from 116 sites within a broad north–south transect from tropical to temperate Australia. Trait responses to environment were quantified using multiple regression; within- and between-species responses were compared using analysis of covariance and trait-gradient analysis.
Leaf area, the leaf economics spectrum (indexed by LMA and Narea) and χ (from stable carbon isotope ratios) varied almost independently among species. Across sites, however, χ and LA increased with mean growing-season temperature (mGDD0) and decreased with vapour pressure deficit (mVPD0) and soil pH. LMA and Narea showed the reverse pattern. Climate responses agreed with expectations based on optimality principles. Within-species variability contributed < 10% to geographical variation in LA but > 90% for χ, with LMA and Narea intermediate.
These findings support the hypothesis that acclimation within individuals, adaptation within species and selection among species combine to create predictable relationships between traits and environment. However, the contribution of acclimation/adaptation vs species selection differs among traits.
Date Issued
2020-04-24
Date Acceptance
2020-03-12
Citation
New Phytologist, 2020, 228 (1), pp.82-94
ISSN
0028-646X
Publisher
Wiley
Start Page
82
End Page
94
Journal / Book Title
New Phytologist
Volume
228
Issue
1
Copyright Statement
© 2020 The Authors. New Phytologist © 2020 New Phytologist Trust. This is the accepted version of the following article: Dong, N., Prentice, I.C., Wright, I.J., Evans, B.J., Togashi, H.F., Caddy-Retalic, S., McInerney, F.A., Sparrow, B., Leitch, E. and Lowe, A.J. (2020), Components of leaf-trait variation along environmental gradients. New Phytol, 228: 82-94, which has been published in final form at https://doi.org/10.1111/nph.16558
Sponsor
AXA Research Fund
Commission of the European Communities
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000528057200001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Grant Number
AXA Chair Programme in Biosphere and Climate Impacts
787203
Subjects
Science & Technology
Life Sciences & Biomedicine
Plant Sciences
acclimation
adaptation
intraspecific variation
leaf area
leaf economics spectrum
plant functional traits
species selection
trait-gradient analysis
ADAPTIVE VARIATION
SOIL
VEGETATION
NITROGEN
CLIMATE
MODEL
WATER
RESPONSES
PHOTOSYNTHESIS
TRANSPIRATION
Publication Status
Published
Date Publish Online
2020-03-21