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Quantifying and scaling global plant trait diversity

TRY is a network of vegetation scientists headed by
Future Earth and the Max Planck Institute for Biogeochemistry,
providing a global archive of curated plant traits.
The TRY database is a research platform of iDiv.

Database Version 4 online (2017-07-20)
Updated to 4.1 on 2018-02-04

6.9 million trait records
148,000 plant taxa
largely open access


Activity Report (2018-02-01)
In January 2018, TRY received 132 requests and released 25.1 million trait data (new record) for 107 requests; 6 new publications were reported. This brings the totals to 4146 received requests, 371 million trait records released for 3321 requests, and 165 recorded publications. (link)

Paper published (2018-01-16)
Simova et al.: Spatial patterns and climate relationships of major plant traits in the New World differ between woody and herbaceous species. Journal of Biogeography (link)

Paper published (2018-01-04)
Tian D. et al.: Global leaf nitrogen and phosphorus stoichiometry and their scaling exponent. National Science Review. (link)

Paper published (2018-01-02)
König et al.: Advances in flowering phenology across the Northern Hemisphere are explained by functional traits. Global Ecology and Biogeography (link)

Paper published (2017-12-18)
Moradi et al.: Plant functional type approach for a functional interpretation of altitudinal vegetation zones in the Alborz Mts., Iran. Journal of Mountain Science. (link)

News Archive

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Advances in flowering phenology across the Northern Hemisphere are explained by functional traits

__Numerous studies have reported changes in first flowering day (FFD-changes) in response to changes in climate. However, regarding the direction (advances versus delays) and the intensity of FFD-changes, species show differences even when observed in the same location. Patrizia König, Susanne Tautenhahn, Christine Römermann and coauthors compiled literature data from eighteen sites distributed over the Northern Hemisphere for 562 species (published in Global Ecology and Biogeography). They related FFD-changes to changes in climate, to local site conditions and plant traits. Of all FDD-changes, 80.4% were FFD-advances, 10.5% exceeding 5 days/decade. FFD-advances were strongest in polar tundra and in dry and warm habitats. The intensity of FFD-advances (number of days/decade) could be explained by predictor variables from all three groups. Overall, decreasing precipitation was more important than increasing temperature. Traits related to competition and growth rate contributed substantially to explain variation of FFD-change intensity, with highest importance for trees and grasses, while for herbs they were of equal importance with changes in climate. For shrubs, site conditions best explained the variation of FFD-advance intensities.

Global leaf nitrogen and phosphorus stoichiometry and their scaling exponent

__Leaf nitrogen (N) and phosphorus (P) concentrations reflect photosynthetic and metabolic processes, growth, and productivity of plants. In this study (published in National Science Review) Tian Di and coauthors compiled a global data set of leaf N and P concentrations and N:P ratios. The global overall mean leaf N and P concentrations show higher concentrations in herbaceous than woody plants. Both leaf N and P showed higher concentrations at high than low latitudes. The scaling exponents of N:P concentrations of herbaceous and woody plants were 0.659 and 0.705, respectively, with significant latitudinal patterns decreasing from tropical to temperate to boreal zones. At sites with a sample size ¡Ý 10, the values fluctuated from 0.366 to 1.928, with an average of 0.841.

Spatial patterns and climate relationships of major plant traits in the New World differ between woody and herbaceous species

__A new paper by Irena Simova and Coauthors, published in Journal of Biogeography, reports that trait variations of woody and herbaceous assemblages seem to reflect alternative strategies and differing environmental constraints. Using the largest currently available databases of plant occurrences and traits, they provide maps of 200 × 200 km grid-cell trait means and variances for both woody and herbaceous species and identify environmental drivers related to these patterns. They focus for six plant traits: maximum plant height, specific leaf area, seed mass, wood density, leaf nitrogen concentration and leaf phosphorus concentration. They find a strong climate signal for both means and variances of most of the studied traits for woody plants, consistent with strong environmental filtering. In contrast, for herbaceous assemblages, spatial patterns of trait means and variances are more variable and the climate signal is often different and weaker.

Mapping local and global variability in plant trait distributions

__A new paper by Ethan Butler et al. has been published in PNAS, providing global maps of plant trait distributions. Using data from the TRY database and state of the art Bayesian modeling, the authors created fine-grained global maps of plant trait distributions that can be applied to Earth system models. Focusing on a set of plant traits closely coupled to photosynthesis and foliar respiration - specific leaf area and dry mass-based concentrations of leaf nitrogen and phosphorus - they characterize how traits vary within and among over 50,000 50x50 km cells across the entire vegetated land surface. The maps reveal that the most diverse grid cells possess trait variability close to the range of global means.

TRY 4.0 - the new release of the TRY database

__The new release of the TRY Database (TRY version 4.0) has been published in July 2017. It is based on 329 contributed datasets and provides 6.9 million trait records for 148,333 plant taxa (mostly species) and 1832 traits. In addition TRY version 4 is based on an improved data curation: Taxon names are consolidated against The Plant List using the Taxon Name Resolution Service. Traits are defined according to the Thesaurus Of Plant Characteristics.

Disclaimer Page calls: 264925 Gerhard Boenisch, Jens Kattge, created 2012-01-11, modified 2018-02-09