Abstract

Abstract Functional traits are commonly used to calculate a wide array of functional diversity indices to infer different mechanisms of community assembly and species coexistence. Recently, the degree of interspecific covariation between multiple functional traits has been suggested as a mechanism influencing both species distributions and abundances in communities. However, empirical assessments of this theory along environmental gradients are still scarce due to the lack of an appropriate method and of sufficiently strong environmental gradients. Here we compare interspecific trait integration (ITI) across plant communities along a marked gradient of copper toxicity in the soil, using new multivariate and bivariate indices. This was achieved using the range of the eigenvalues of a principal component analysis on the traits of the species in a local community (multivariate ITI index) and the correlations between traits in local communities (bivariate ITI index). We show that the plant metal tolerance strategy (i.e. leaf metal content) is relatively independent from leaf economics, while negatively correlated to plant size. In addition, our results indicate a weak support for the expected general patterns of trait syndromes, such as the ‘leaf economics spectrum’ or the ‘leaf–height–seed’, at the whole‐community scale. This arises from an increase in multivariate trait integration along the soil copper gradient. The strongest trait integration is caused by an increase in the degree of association between certain traits on metal‐rich soils. The multivariate trait integration explains species richness better than other commonly used functional diversity indices. Our study highlights the power of ITI, as well as its complementarity to other functional diversity indices, to investigate the variation in functional strategies and their drivers along environmental gradients. The increase in trait integration with soil metal toxicity in plant communities supports that highly constraining environments select increasingly coordinated sets of functional traits, in turn possibly driving the decrease in species richness. Further studies should assess the generality and underlying physiological mechanisms of such ecological patterns.

Highlights

  • Plant functional traits are increasingly used to unravel assembly rules in plant communities

  • We show that the plant metal tolerance strategy is relatively independent from leaf economics, while negatively correlated to plant size

  • We suggest that rigorous tests of the redundancy/complementarity of functional trait-related indices should be conducted in order to integrate functional trait integration in the larger framework aimed at characterizing the functional diversity of communities and predict community responses to rapidly changing environments towards physiologically stressing conditions

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Summary

| INTRODUCTION

Plant functional traits (sensu, Violle et al, 2007) are increasingly used to unravel assembly rules in plant communities. Dwyer and Laughlin (2017) measured the change in trait covariation along an aridity gradient to quantify the effect of environmental filters on functional trade-offs They showed that the positive trait covariation between vegetative height and seed mass within communities was a better predictor of species richness than other univariate or multivariate indices of functional diversity. These savannas are unique from the floristic and functional points of view: a broad gradient of soil Cu and Co concentration drives a species and life forms turn-over in the communities (Boisson et al, 2020; Delhaye et al, 2016) This results in a decrease in size-related trait values, a change to fast resource acquisition strategies, and high leaf metal contents at the community level, while functional diversity decrease along with increasing soil Cu content (Delhaye et al, 2020). We expect the strong negative and nonlinear relationship between trait integration and species richness predicted by theory (Dwyer & Laughlin, 2017)

| MATERIALS AND METHODS
Findings
| DISCUSSION
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