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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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Constraining a land-surface model with multiple observations by application of the MPI-Carbon Cycle Data Assimilation System V1.0

TL;DR: In this paper, the Max Planck Institute Carbon Cycle Data Assimilation System (MPI-CCDAS) built around the tangent-linear version of the JSBACH land-surface scheme is presented.
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Global plant trait relationships extend to the climatic extremes of the tundra biome

Haydn J.D. Thomas, +120 more
TL;DR: It is shown that known plant trait relationships extend to the tundra biomes and exhibit the same two dimensions of variation detected at the global scale, informing prediction of plant community change in a warming world.
Journal ArticleDOI

A new model of the coupled carbon, nitrogen, and phosphorus cycles in the terrestrial biosphere (QUINCY v1.0; revision 1996)

TL;DR: QuINCY v1.0 as mentioned in this paper is a new terrestrial ecosystem model, which has been designed from scratch to allow for a seamless integration of the fully coupled carbon, nitrogen, and phosphorus cycles with each other and also with processes affecting the energy and water balances in terrestrial ecosystems.
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The conservation value of germplasm stored at the Millennium Seed Bank, Royal Botanic Gardens, Kew, UK

TL;DR: The Millennium Seed Bank (MSB) is the largest ex situ conservation programme in the world, currently involving 96 countries and territories as mentioned in this paper, where where possible, seeds are collected and conserved in the country of origin with duplicates being sent to RBG Kew's MSB for storage.
Journal ArticleDOI

BETYdb: a yield, trait, and ecosystem service database applied to second-generation bioenergy feedstock production

TL;DR: The Biofuel Ecophysiological Traits and Yields database (BETYdb) as discussed by the authors is a centralized open-access repository that facilitates organization, discovery, and exchange of information about plant traits, crop yields, and ecosystem functions.
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