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Abstract
Phenotypic traits and their associated trade-offs have been shown to have globally
consistent effects on individual plant physiological functions, but how these effects
scale up to influence competition, a key driver of community assembly in terrestrial
vegetation, has remained unclear. Here we use growth data from more than 3 million
trees in over 140,000 plots across the world to show how three key functional traits--wood
density, specific leaf area and maximum height--consistently influence competitive
interactions. Fast maximum growth of a species was correlated negatively with its
wood density in all biomes, and positively with its specific leaf area in most biomes.
Low wood density was also correlated with a low ability to tolerate competition and
a low competitive effect on neighbours, while high specific leaf area was correlated
with a low competitive effect. Thus, traits generate trade-offs between performance
with competition versus performance without competition, a fundamental ingredient
in the classical hypothesis that the coexistence of plant species is enabled via differentiation
in their successional strategies. Competition within species was stronger than between
species, but an increase in trait dissimilarity between species had little influence
in weakening competition. No benefit of dissimilarity was detected for specific leaf
area or wood density, and only a weak benefit for maximum height. Our trait-based
approach to modelling competition makes generalization possible across the forest
ecosystems of the world and their highly diverse species composition.
Wood performs several essential functions in plants, including mechanically supporting aboveground tissue, storing water and other resources, and transporting sap. Woody tissues are likely to face physiological, structural and defensive trade-offs. How a plant optimizes among these competing functions can have major ecological implications, which have been under-appreciated by ecologists compared to the focus they have given to leaf function. To draw together our current understanding of wood function, we identify and collate data on the major wood functional traits, including the largest wood density database to date (8412 taxa), mechanical strength measures and anatomical features, as well as clade-specific features such as secondary chemistry. We then show how wood traits are related to one another, highlighting functional trade-offs, and to ecological and demographic plant features (growth form, growth rate, latitude, ecological setting). We suggest that, similar to the manifold that tree species leaf traits cluster around the 'leaf economics spectrum', a similar 'wood economics spectrum' may be defined. We then discuss the biogeography, evolution and biogeochemistry of the spectrum, and conclude by pointing out the major gaps in our current knowledge of wood functional traits.
Worldwide decomposition rates depend both on climate and the legacy of plant functional traits as litter quality. To quantify the degree to which functional differentiation among species affects their litter decomposition rates, we brought together leaf trait and litter mass loss data for 818 species from 66 decomposition experiments on six continents. We show that: (i) the magnitude of species-driven differences is much larger than previously thought and greater than climate-driven variation; (ii) the decomposability of a species' litter is consistently correlated with that species' ecological strategy within different ecosystems globally, representing a new connection between whole plant carbon strategy and biogeochemical cycling. This connection between plant strategies and decomposability is crucial for both understanding vegetation-soil feedbacks, and for improving forecasts of the global carbon cycle.
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