AbstractWe investigated whether global leaf economic relationships are also present within plant functional types (PFTs), and the extent to which this hierarchical structure can be used to constrain trait estimates. We developed a hierarchical multivariate Bayesian model that assumes separate means and covariance structures within and across PFTs and fit this model to seven leaf traits from the TRY database related to leaf morphology, biochemistry, and photosynthetic metabolism. Trait correlations were generally consistent in direction within and across PFTs, and consistent with predictions of the leaf economic spectrum. However, correlation strength varied substantially across PFTs indicating that leaf economic relationships within PFTs are often confounded by the unique physiology of certain plant types or environmental conditions in certain biomes. Leveraging covariance in multivariate models reduced uncertainties in mean trait estimates, particularly for undersampled trait-PFT combinations. However, additional constraint from the across-PFT hierarchy was limited.Data accessibilityThe R code and ancillary data for running these analyses is publicly available online via the Open Science Framework at https://osf.io/w8y73/. The TRY data request used for this analysis has been archived at http://try-db.org, and can be retrieved by providing the TRY data request ID (#1584). Alternatively, the exact preformatted data used in this analysis are available on request to Alexey Shiklomanov ([email protected]).
Does the leaf economic spectrum hold within plant functional types? A Bayesian multivariate trait meta‐analysis