Abstract

Plant functional traits directly affect ecosystem functions. At the species level, trait combinations depend on trade-offs representing different ecological strategies, but at the community level trait combinations are expected to be decoupled from these trade-offs because different strategies can facilitate co-existence within communities. A key question is to what extent community-level trait composition is globally filtered and how well it is related to global versus local environmental drivers. Here, we perform a global, plot-level analysis of trait-environment relationships, using a database with more than 1.1 million vegetation plots and 26,632 plant species with trait information. Although we found a strong filtering of 17 functional traits, similar climate and soil conditions support communities differing greatly in mean trait values. The two main community trait axes that capture half of the global trait variation (plant stature and resource acquisitiveness) reflect the trade-offs at the species level but are weakly associated with climate and soil conditions at the global scale. Similarly, within-plot trait variation does not vary systematically with macro-environment. Our results indicate that, at fine spatial grain, macro-environmental drivers are much less important for functional trait composition than has been assumed from floristic analyses restricted to co-occurrence in large grid cells. Instead, trait combinations seem to be predominantly filtered by local-scale factors such as disturbance, fine-scale soil conditions, niche partitioning and biotic interactions.

Highlights

  • How climate drives the functional characteristics of vegetation across the globe has been a key question in ecological research for more than a century[1]

  • Our results show that similar global-scale climate and soil conditions can support communities that differ markedly in mean trait values and that different climates can support communities with rather similar mean trait values

  • Plot-level trait means and variances may both be predominantly driven by local environmental factors, such as topography, local soil characteristics[3,14,24,25], disturbance regime or biotic interactions[18,19,28], while broad-scale climate and soil conditions may only become relevant for the whole species pool in large grid cells

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Summary

Introduction

How climate drives the functional characteristics of vegetation across the globe has been a key question in ecological research for more than a century[1]. We combined the ‘sPlot’ database, a new global initiative incorporating more than 1.1 million vegetation plots from over 100 databases (mainly forests and grasslands; see Methods), with 30 largescale environmental variables and 18 key plant functional traits derived from TRY, a global plant-trait database (see Methods, Table 2) We selected these 18 traits because they affect different key ecosystem processes and are expected to respond to macroclimatic drivers (Table 1). We tested the hypothesis (Hypothesis 2) that there are strong correlations between global environmental drivers such as macroclimate and coarse-scale soil properties and both plot-level trait means and within-plot trait variances[3,6,12,13,14,15,16,17,20,21,22,23,24] (see Table for expected relationships and Supplementary Table 2 for variables used) Such evidence, correlative, may contribute to the formulation of novel hypotheses to explain global plant trait patterns

Results and Discussion
Material and Methods
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