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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Book ChapterDOI
Scaling from Traits to Ecosystems: Developing a General Trait Driver Theory via Integrating Trait-Based and Metabolic Scaling Theories
Brian J. Enquist,Brian J. Enquist,Jon Norberg,Stephen P. Bonser,Cyrille Violle,Cyrille Violle,Colleen T. Webb,Amanda N. Henderson,Lindsey L. Sloat,Van M. Savage,Van M. Savage +10 more
TL;DR: Trait Driver Theory provides a baseline for recasting the predictions of ecological theories based on species richness in terms of the shape of trait distributions and integrating how specific traits then ‘scale up’ to influence ecosystem functioning and the dynamics of species assemblages across climate gradients.
Journal ArticleDOI
A worldwide analysis of within-canopy variations in leaf structural, chemical and physiological traits across plant functional types.
TL;DR: An unprecedented worldwide database including 831 within-canopy gradients with standardized light estimates for 304 species belonging to major vascular plant functional types is constructed, and an old enigma of the role of mass- vs area-based traits in vegetation acclimation is solved.
Journal ArticleDOI
Pedotransfer functions in Earth system science: challenges and perspectives
Kris Van Looy,Johan Bouma,Michael Herbst,John Koestel,Budiman Minasny,Umakant Mishra,Carsten Montzka,Attila Nemes,Yakov Pachepsky,José Padarian,Marcel G. Schaap,Brigitta Tóth,Brigitta Tóth,Anne Verhoef,Jan Vanderborght,Martine van der Ploeg,Lutz Weihermüller,Steffen Zacharias,Yonggen Zhang,Yonggen Zhang,Harry Vereecken +20 more
TL;DR: In this article, a review of the existing PTFs and new generation of PTF developed in the different disciplines of Earth system science is presented, emphasizing that PTF development has to go hand in hand with suitable extrapolation and upscaling techniques such that the PTF models correctly represent the spatial heterogeneity of soils.
Journal ArticleDOI
Functional trait space and the latitudinal diversity gradient.
Christine Lamanna,Benjamin Blonder,Benjamin Blonder,Cyrille Violle,Nathan J. B. Kraft,Brody Sandel,Irena Šímová,John C. Donoghue,Jens-Christian Svenning,Brian J. McGill,Brad Boyle,Vanessa Buzzard,Steven B. Dolins,Peter M. Jørgensen,Aaron Marcuse-Kubitza,Naia Morueta-Holme,Robert K. Peet,William H. Piel,James Regetz,Mark Schildhauer,Nick Spencer,Barbara M. Thiers,Susan K. Wiser,Brian J. Enquist +23 more
TL;DR: A conceptual framework for testing theories for the latitudinal gradient of species richness in terms of variation in functional diversity at the alpha, beta, and gamma scales is presented and suggests that multiple processes have shaped trait diversity in trees, reflecting no consistent support for any one theory.
Journal ArticleDOI
An introduction to the NASA Hyperspectral InfraRed Imager (HyspIRI) mission and preparatory activities
Christine Lee,Morgan L. Cable,Simon J. Hook,Robert O. Green,Susan L. Ustin,Daniel Mandl,Elizabeth M. Middleton +6 more
TL;DR: The NASA Hyperspectral InfraRed Imager (HyspIRI) as mentioned in this paper is comprised of a visible to short-wavelength infrared (VSWIR) imaging spectrometer and a thermal infrared (TIR) multispectral imager, together with an Intelligent Payload Module (IPM) for onboard processing and rapid downlink of selected data.
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