TRY - a global database of plant traits
Jens Kattge,Sandra Díaz,Sandra Lavorel,Iain Colin Prentice,Paul Leadley,Gerhard Bönisch,Eric Garnier,Mark Westoby,Peter B. Reich,Peter B. Reich,Ian J. Wright,Johannes H. C. Cornelissen,Cyrille Violle,Sandy P. Harrison,P.M. van Bodegom,Markus Reichstein,Brian J. Enquist,Nadejda A. Soudzilovskaia,David D. Ackerly,Madhur Anand,Owen K. Atkin,Michael Bahn,Timothy R. Baker,Dennis D. Baldocchi,Renée M. Bekker,Carolina C. Blanco,Benjamin Blonder,William J. Bond,Ross A. Bradstock,Daniel E. Bunker,Fernando Casanoves,Jeannine Cavender-Bares,Jeffrey Q. Chambers,F. S. Chapin,Jérôme Chave,David A. Coomes,William K. Cornwell,Joseph M. Craine,B. H. Dobrin,Leandro da Silva Duarte,Walter Durka,James J. Elser,Gerd Esser,Marc Estiarte,William F. Fagan,Jingyun Fang,Fernando Fernández-Méndez,Alessandra Fidelis,Bryan Finegan,Olivier Flores,H. Ford,Dorothea Frank,Grégoire T. Freschet,Nikolaos M. Fyllas,Rachael V. Gallagher,Walton A. Green,Alvaro G. Gutiérrez,Thomas Hickler,Steven I. Higgins,John G. Hodgson,Adel Jalili,Steven Jansen,Carlos Alfredo Joly,Andrew J. Kerkhoff,Don Kirkup,Kaoru Kitajima,Michael Kleyer,Stefan Klotz,Johannes M. H. Knops,Koen Kramer,Ingolf Kühn,Hiroko Kurokawa,Daniel C. Laughlin,Tali D. Lee,Michelle R. Leishman,Frederic Lens,Tanja Lenz,Simon L. Lewis,Jon Lloyd,Jon Lloyd,Joan Llusià,Frédérique Louault,Siyan Ma,Miguel D. Mahecha,Peter Manning,Tara Joy Massad,Belinda E. Medlyn,Julie Messier,Angela T. Moles,Sandra Cristina Müller,Karin Nadrowski,Shahid Naeem,Ülo Niinemets,S. Nöllert,A. Nüske,Romà Ogaya,Jacek Oleksyn,Vladimir G. Onipchenko,Yusuke Onoda,Jenny C. Ordoñez,Gerhard E. Overbeck,Wim A. Ozinga,Sandra Patiño,Susana Paula,Juli G. Pausas,Josep Peñuelas,Oliver L. Phillips,Valério D. Pillar,Hendrik Poorter,Lourens Poorter,Peter Poschlod,Andreas Prinzing,Raphaël Proulx,Anja Rammig,Sabine Reinsch,Björn Reu,Lawren Sack,Beatriz Salgado-Negret,Jordi Sardans,Satomi Shiodera,Bill Shipley,Andrew Siefert,Enio E. Sosinski,Jean-François Soussana,Emily Swaine,Nathan G. Swenson,Ken Thompson,Peter E. Thornton,Matthew S. Waldram,Evan Weiher,Michael T. White,S. White,S. J. Wright,Benjamin Yguel,Sönke Zaehle,Amy E. Zanne,Christian Wirth +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.read more
Citations
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Journal ArticleDOI
Simple measures of climate, soil properties and plant traits predict national‐scale grassland soil carbon stocks
Peter Manning,Franciska T. de Vries,Franciska T. de Vries,J. R. B. Tallowin,Roger Smith,Simon R. Mortimer,E. S. Pilgrim,Kate A. Harrison,Daniel G. Wright,Helen Quirk,Joseph Benson,Bill Shipley,Johannes H. C. Cornelissen,Jens Kattge,Gerhard Bönisch,Christian Wirth,Richard D. Bardgett,Richard D. Bardgett +17 more
TL;DR: In this paper, the authors used data from an extensive national survey of English grasslands to show that surface soil (0-7cm) C stocks in size fractions of varying stability can be predicted at both regional and national scales from plant traits and simple measures of soil and climatic conditions.
Journal ArticleDOI
Specific leaf area correlates with temperature: new evidence of trait variation at the population, species and community levels
TL;DR: It is concluded that the variation in SLA along the temperature gradient comes primarily from changes in the relative abundances of species, whereas the trait variation at the population and the species levels was affected by other environmental factors.
Journal ArticleDOI
Trait selection and community weighting are key to understanding ecosystem responses to changing precipitation regimes
Robert J. Griffin-Nolan,Julie A. Bushey,Charles J. W. Carroll,Anthea Challis,Jeff Chieppa,Magda Garbowski,Ava M. Hoffman,Alison K. Post,Ingrid J. Slette,Daniel Spitzer,Dario Zambonini,Dario Zambonini,Troy W. Ocheltree,David T. Tissue,Alan K. Knapp +14 more
TL;DR: This paper aims to demonstrate the efforts towards in-situ applicability of EMMARM, which aims to provide real-time information about the phytochemical properties of manure to improve the quality of human and animal life in the United States.
Journal ArticleDOI
Why functional ecology should consider all plant organs: An allocation-based perspective
Michael Kleyer,Vanessa Minden +1 more
TL;DR: It is argued that the correlation among traits of all major plant organs should be an integral part of response or effect studies, and coordinated allocation to biological functions sets boundaries to the range of trait expressions in successional series and consequently to species responses to the environment and effects on ecosystems.
Journal ArticleDOI
Global root traits (GRooT) database
Nathaly R. Guerrero-Ramírez,Liesje Mommer,Grégoire T. Freschet,Colleen M. Iversen,M. Luke McCormack,Jens Kattge,Hendrik Poorter,Hendrik Poorter,Fons van der Plas,Joana Bergmann,Thomas W. Kuyper,Larry M. York,Helge Bruelheide,Daniel C. Laughlin,Ina C. Meier,Catherine Roumet,Marina Semchenko,Christopher J. Sweeney,Jasper van Ruijven,Oscar J. Valverde-Barrantes,Isabelle Aubin,Jane A. Catford,Peter Manning,Adam R. Martin,Rubén Milla,Vanessa Minden,Vanessa Minden,Juli G. Pausas,Stuart W. Smith,Nadejda A. Soudzilovskaia,Christian Ammer,Bradley J. Butterfield,Joseph M. Craine,Johannes H. C. Cornelissen,Franciska T. de Vries,Marney E. Isaac,Koen Kramer,Christian König,Eric G. Lamb,Vladimir G. Onipchenko,Josep Peñuelas,Peter B. Reich,Peter B. Reich,Matthias C. Rillig,Lawren Sack,Bill Shipley,Leho Tedersoo,Fernando Valladares,Peter M. van Bodegom,Patrick Weigelt,Justin P. Wright,Alexandra Weigelt +51 more
TL;DR: The Global Root Trait Database (GRooT) as mentioned in this paper provides a set of core root traits relevant to the description of plant form and function based on an assessment by experts, maximized species coverage through data standardization within and among traits, and implemented data quality checks.
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