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Open AccessJournal ArticleDOI

TRY - a global database of plant traits

Jens Kattge, +136 more
- Vol. 17, Iss: 9, pp 2905-2935
TLDR
TRY as discussed by the authors is a global database of plant traits, including morphological, anatomical, physiological, biochemical and phenological characteristics of plants and their organs, which can be used for a wide range of research from evolutionary biology, community and functional ecology to biogeography.
Abstract
Plant traits – the morphological, anatomical, physiological, biochemical and phenological characteristics of plants and their organs – determine how primary producers respond to environmental factors, affect other trophic levels, influence ecosystem processes and services and provide a link from species richness to ecosystem functional diversity. Trait data thus represent the raw material for a wide range of research from evolutionary biology, community and functional ecology to biogeography. Here we present the global database initiative named TRY, which has united a wide range of the plant trait research community worldwide and gained an unprecedented buy-in of trait data: so far 93 trait databases have been contributed. The data repository currently contains almost three million trait entries for 69 000 out of the world's 300 000 plant species, with a focus on 52 groups of traits characterizing the vegetative and regeneration stages of the plant life cycle, including growth, dispersal, establishment and persistence. A first data analysis shows that most plant traits are approximately log-normally distributed, with widely differing ranges of variation across traits. Most trait variation is between species (interspecific), but significant intraspecific variation is also documented, up to 40% of the overall variation. Plant functional types (PFTs), as commonly used in vegetation models, capture a substantial fraction of the observed variation – but for several traits most variation occurs within PFTs, up to 75% of the overall variation. In the context of vegetation models these traits would better be represented by state variables rather than fixed parameter values. The improved availability of plant trait data in the unified global database is expected to support a paradigm shift from species to trait-based ecology, offer new opportunities for synthetic plant trait research and enable a more realistic and empirically grounded representation of terrestrial vegetation in Earth system models.

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Citations
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Intraspecific variation overrides origin effects in impacts of litter-derived secondary compounds on larval amphibians.

TL;DR: It is suggested that scientists and managers may need to move beyond considering origin as a predictive variable when managing plant communities to benefit amphibians and consider secondary compounds, which can impact larval amphibian survival and development in species-specific ways.
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Predicting invertebrate herbivory from plant traits: polycultures show strong nonadditive effects.

TL;DR: Four different additive models based on monoculture herbivory rates or plant traits and measurements of standing invertebrate herbivore damage along an experimental plant diversity gradient detected positive nonadditive effects, which were positively correlated with the communities' plant species richness.
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Seed size and its rate of evolution correlate with species diversification across angiosperms.

TL;DR: It is shown that absolute seed size and the rate of change in seed size are both associated with variation in diversification rates, and that smaller-seeded plants had higher rates of diversification, possibly due to improved colonisation potential.
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