TRY – a global database of plant traits

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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     Wohlfahrt G, Bahn M, Haubner E, et al. Inter-specific variation of the biochemical limitation to photosynthesis and related leaf traits of 30 species from mountain grassland ecosystems under different land use. Plant, Cell and Environment. 1999;22:1281-1296.

     Not in our library

244. 244.

     Woodward FI, Cramer W. Plant functional types and climatic changes: introduction. Journal of Vegetation Science. 1996;7:306-308.

     Not in our library

245. 245.

     Wright IJ, Ackerly DD, Bongers F, et al. Relationships among ecologically important dimensions of plant trait variation in seven Neotropical forests. Annals of Botany. 2007;99:1003-1015.

     Not in our library10.1093/aob/mcl066

246. 246.

     Wright IJ, Reich PB, Atkin OK, Lusk CH, Tjoelker MG, Westoby M. Irradiance, temperature and rainfall influence leaf dark respiration in woody plants: evidence from comparisons across 20 sites. New Phytologist. 2006;169:309-319.

     Not in our library10.1111/j.1469-8137.2005.01590.x

247. 247.

     Wright IJ, Reich PB, Cornelissen JHC, et al. Assessing the generality of global leaf trait relationships. New Phytologist. 2005;166:485-496.

     Not in our library10.1111/j.1469-8137.2005.01349.x

248. 248.

     Wright IJ, Reich PB, Westoby M, et al. The worldwide leaf economics spectrum. Nature. 2004;428:821-827.

     Not in our library10.1038/nature02403

249. 249.

     Wright SJ, Kitajima K, Kraft NJB, et al. Functional traits and the growth-mortality tradeoff in tropical trees. Ecology. 2010;91:3664-3674.

     Not in our library10.1890/09-2335.1

250. 250.

     Xu LK, Baldocchi DD. Seasonal trends in photosynthetic parameters and stomatal conductance of blue oak (Quercus douglasii) under prolonged summer drought and high temperature. Tree Physiology. 2003;23:865-877.

     Not in our library10.1093/treephys/23.13.865

251. 251.

     Zaehle S, Friend A. Carbon and nitrogen cycle dynamics in the O-CN land surface model: 1. Model description, site-scale evaluation, and sensitivity to parameter estimates. Global Biochemical Cycles. 2010;24.

     Not in our library

252. 252.

     Zanne AE, Lopez-Gonzalez G, Coomes DA, Ilic J, Jansen S, Lewis SL, Miller RB, Swenson NG, Wiemann MC, Chave J. 2009.

     Not in our library

253. 253.

     Ziehn T, Kattge J, Knorr W, Scholze M. Improving the predictability of global CO2 assimilation rates under climate change. Geophysical Research Letters. 2011.

     Not in our library

Cited by papers we hold 16

• Tracing 33P-labelled organic phosphorus compounds in two soils: New insights into decomposition dynamics and direct use by microbes · 2023
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• Prior disturbance legacy effects on plant recovery post‐high‐severity wildfire · 2021
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• Plants meet machines: Prospects in machine learning for plant biology · 2020
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• A machine learning approach to emulation and biophysical parameter estimation with the Community Land Model, version 5 · 2020
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• Urbanization Effects on Biodiversity Revealed by a Two-Scale Analysis of Species Functional Uniqueness vs. Redundancy · 2020
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• Global plant trait relationships extend to the climatic extremes of the tundra biome · 2020
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• Adaptive responses of animals to climate change are most likely insufficient · 2019
  No notice
• Empirical Predictability of Community Responses to Climate Change · 2018
  Not checked
• Understanding Forest Health with Remote Sensing, Part III: Requirements for a Scalable Multi-Source Forest Health Monitoring Network Based on Data Science Approaches · 2018
  Not checked
• A new stepwise carbon cycle data assimilation system using multiple data streams to constrain the simulated land surface carbon cycle · 2016
  Not checked
• Terrestrial ecosystem process model Biome-BGCMuSo v4.0: summary of improvements and new modeling possibilities · 2016
  Not checked
• Functional traits, convergent evolution, and periodic tables of niches · 2015
  No notice
• The PREDICTS database: a global database of how local terrestrial biodiversity responds to human impacts · 2014
  Corrected
• Trait-based approaches for understanding microbial biodiversity and ecosystem functioning · 2014
  No notice
• Allometric Scaling and Resource Limitations Model of Tree Heights: Part 1. Model Optimization and Testing over Continental USA · 2013
  Not checked
• The taxonomic name resolution service: an online tool for automated standardization of plant names · 2013
  No notice

Reads

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