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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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The World Spider Trait database: a centralized global open repository for curated data on spider traits.

Stano Pekár, +50 more
- 15 Oct 2021 - 
TL;DR: In this article, the authors developed an online database for archiving and accessing spider traits at a global scale, which can accommodate a great variety of traits measured at individual, species or higher taxonomic levels.
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Whole-plant optimality predicts changes in leaf nitrogen under variable CO2 and nutrient availability.

TL;DR: The optimality model presented here is a whole-plant approach which reproduces biologically realistic changes in leaf N and can thereby improve ecosystem-level predictions under transient conditions.
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Evaluating the physical and biogeochemical state of the global ocean component of UKESM1 in CMIP6 historical simulations

TL;DR: In this paper, the authors used a range of observational fields to validate the physical and biogeochemical performance of the ocean component of UKESM1, a new Earth system model (ESM) for CMIP6 built upon the HadGEM3-GC3.1 physical climate model.
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Leveraging Organismal Biology to Forecast the Effects of Climate Change.

TL;DR: Challenges in organismal biology that must be solved over the next decade are discussed including accounting for the varied timescales of physiological processes, for responses to environmental fluctuations including the onset of stress and other thresholds, and for how environmental sensitivities vary across lifecycles.
References
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Journal ArticleDOI

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