Literature DB >> 26563777

Phylogenetic structural equation modelling reveals no need for an 'origin' of the leaf economics spectrum.

Chase M Mason1, Eric W Goolsby1,2, Devon P Humphreys3, Lisa A Donovan1.   

Abstract

The leaf economics spectrum (LES) is a prominent ecophysiological paradigm that describes global variation in leaf physiology across plant ecological strategies using a handful of key traits. Nearly a decade ago, Shipley et al. (2006) used structural equation modelling to explore the causal functional relationships among LES traits that give rise to their strong global covariation. They concluded that an unmeasured trait drives LES covariation, sparking efforts to identify the latent physiological trait underlying the 'origin' of the LES. Here, we use newly developed phylogenetic structural equation modelling approaches to reassess these conclusions using both global LES data as well as data collected across scales in the genus Helianthus. For global LES data, accounting for phylogenetic non-independence indicates that no additional unmeasured traits are required to explain LES covariation. Across datasets in Helianthus, trait relationships are highly variable, indicating that global-scale models may poorly describe LES covariation at non-global scales.
© 2015 John Wiley & Sons Ltd/CNRS.

Keywords:  Leaf lifespan; leaf mass per area; nitrogen; photosynthesis; phylogenetic path analysis

Mesh:

Year:  2015        PMID: 26563777     DOI: 10.1111/ele.12542

Source DB:  PubMed          Journal:  Ecol Lett        ISSN: 1461-023X            Impact factor:   9.492


  2 in total

1.  Intraspecific perspective of phenotypic coordination of functional traits in Scots pine.

Authors:  Bárbara Carvalho; Cristina C Bastias; Adrián Escudero; Fernando Valladares; Raquel Benavides
Journal:  PLoS One       Date:  2020-02-13       Impact factor: 3.240

2.  Joint control of plant ecological strategy by climate, regeneration mode, and ontogeny in Northeastern Chinese forests.

Authors:  Xiangjun Zhang; Shuli Wang
Journal:  Ecol Evol       Date:  2021-05-01       Impact factor: 2.912

  2 in total

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