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Ecology Letters
Article
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Ecology Letters
Article . 2018 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
Ecology Letters
Article . 2019
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Within‐species patterns challenge our understanding of the leaf economics spectrum

Authors: Leander D. L. Anderegg; Logan T. Berner; Grayson Badgley; Meera L. Sethi; Beverly E. Law; Janneke HilleRisLambers;

Within‐species patterns challenge our understanding of the leaf economics spectrum

Abstract

AbstractThe utility of plant functional traits for predictive ecology relies on our ability to interpret trait variation across multiple taxonomic and ecological scales. Using extensive data sets of trait variation within species, across species and across communities, we analysed whether and at what scales leaf economics spectrum (LES) traits show predicted trait–trait covariation. We found that most variation in LES traits is often, but not universally, at high taxonomic levels (between families or genera in a family). However, we found that trait covariation shows distinct taxonomic scale dependence, with some trait correlations showing opposite signs within vs. across species. LES traits responded independently to environmental gradients within species, with few shared environmental responses across traits or across scales. We conclude that, at small taxonomic scales, plasticity may obscure or reverse the broad evolutionary linkages between leaf traits, meaning that variation in LES traits cannot always be interpreted as differences in resource use strategy.

Keywords

Plant Leaves, Phenotype, Ecology, Plants, Biological Evolution, Plant Physiological Phenomena

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
258
Top 0.1%
Top 10%
Top 1%
hybrid