Abstract

The match between functional trait variation in communities and environmental gradients is maintained by three processes: phenotypic plasticity and genetic differentiation (intraspecific processes), and species turnover (interspecific). Recently, evidence has emerged suggesting that intraspecific variation might have a potentially large role in driving functional community composition and response to environmental change. However, empirical evidence quantifying the respective importance of phenotypic plasticity and genetic differentiation relative to species turnover is still lacking. We performed a reciprocal transplant experiment using a common herbaceous plant species (Oxalis montana) among low‐, mid‐, and high‐elevation sites to first quantify the contributions of plasticity and genetic differentiation in driving intraspecific variation in three traits: height, specific leaf area, and leaf area. We next compared the contributions of these intraspecific drivers of community trait–environment matching to that of species turnover, which had been previously assessed along the same elevational gradient. Plasticity was the dominant driver of intraspecific trait variation across elevation in all traits, with only a small contribution of genetic differentiation among populations. Local adaptation was not detected to a major extent along the gradient. Fitness components were greatest in O. montana plants with trait values closest to the local community‐weighted means, thus supporting the common assumption that community‐weighted mean trait values represent selective optima. Our results suggest that community‐level trait responses to ongoing climate change should be mostly mediated by species turnover, even at the small spatial scale of our study, with an especially small contribution of evolutionary adaptation within species.

Highlights

  • Studies partitioning the relative contributions of intraspecific variation (ITV) and species turnover (SPT) to community-­level trait variation have provided novel insights into community assembly and responses to environmental gradients over space and time (Davis, Shaw, & Etterson, 2005; Cornwell & Ackerly, 2009; Lepš, de Bello, Šmilauer, & Doležal, 2011; Jung et al, 2014)

  • SPT suggests that the maintenance of trait–environment matching will depend on changes in species composition, which likely occur over relatively long timescales (Parmesan, 2006)

  • A few frameworks have been proposed to understand how the relative importance of ITV versus SPT varies across spatial scales (Albert, Grassein, Schurr, Vieilledent, & Violle, 2011) or how it depends upon the type of gradient and community under study (Lajoie & Vellend, 2015)

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Summary

| INTRODUCTION

Studies partitioning the relative contributions of intraspecific variation (ITV) and species turnover (SPT) to community-­level trait variation have provided novel insights into community assembly and responses to environmental gradients over space and time (Davis, Shaw, & Etterson, 2005; Cornwell & Ackerly, 2009; Lepš, de Bello, Šmilauer, & Doležal, 2011; Jung et al, 2014). There is a long history of transplant experiments aimed at partitioning the environmental (plastic) and genetic sources of intraspecific variation in natural settings (Clausen, Keck, & Hiesey, 1940; Chapin & Chapin, 1981; Angert & Schemske, 2005). We provide one of the first interpretations of the nature and strength of the intraspecific functional response in the context of community trait turnover studied previously (Lajoie & Vellend, 2015), we recognize that quantifying the components of ITV with one experimental species represents just a first step in this line of research. We were further interested in testing the common assumption of trait-­gradient studies that local community-­level trait means (weighted by species abundances) represent adaptive optima (Shipley, de Bello, Cornelissen, Laliberté, & Reich, 2016) If this assumption is valid, we expect that plants with trait values closest to the community mean should display the highest fitness. Do community-based gradient analyses predict the direction of selection within sites and the traits most strongly related to fitness?

| MATERIALS AND METHODS
Findings
CONFLICT OF INTEREST
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