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
Effects of land use on taxonomic and functional diversity: a cross-taxon analysis in a Mediterranean landscape.
Violeta Hevia,Carlos P. Carmona,Carlos P. Carmona,Francisco M. Azcárate,Mario Torralba,Paloma Alcorlo,Rubén Ariño,Jorge Lozano,Sara Castro-Cobo,José Antonio Torres González +9 more
TL;DR: The relationship of land use with taxonomic diversity and functional diversity is highly complex and context-dependent and it is found that TD and FD did not vary consistently, but rather followed different trajectories that largely depended on the biotic group and the intensity of land-use transformation.
Journal ArticleDOI
Are litter decomposition and fire linked through plant species traits
Johannes H. C. Cornelissen,Saskia Grootemaat,Saskia Grootemaat,Lieneke M. Verheijen,William K. Cornwell,Peter M. van Bodegom,René van der Wal,Rien Aerts +7 more
TL;DR: A conceptual framework, explicitly comparing the effects of two plant trait spectra on litter decomposition vs fire, provides a promising new research direction for better understanding and predicting Earth surface carbon dynamics.
Journal ArticleDOI
Combining livestock production information in a process-based vegetation model to reconstruct the history of grassland management
Jinfeng Chang,Jinfeng Chang,Philippe Ciais,Mario Herrero,Petr Havlik,Matteo Campioli,Xianzhou Zhang,Yongfei Bai,Nicolas Viovy,Joanna Joiner,Xuhui Wang,Shushi Peng,Chao Yue,Shilong Piao,Tao Wang,Didier Hauglustaine,Jean-François Soussana,Anna Peregon,Natalya Kosykh,Nina P. Mironycheva-Tokareva +19 more
TL;DR: In this article, the authors reconstruct gridded maps of grassland management intensity from 1901 to 2012, including the minimum area of managed vs. unmanaged grasslands and the fraction of mown vs. grazed area at a resolution of 0.5° by 0.3°.
Journal ArticleDOI
Vegetation ecology meets ecosystem science: Permanent grasslands as a functional biogeography case study
Cyrille Violle,Philippe Choler,Philippe Choler,Benjamin Borgy,Eric Garnier,Bernard Amiaud,Bernard Amiaud,Guilhem Debarros,Sylvain Diquélou,Sylvain Diquélou,Sophie Gachet,Claudy Jolivet,Jens Kattge,Sandra Lavorel,Sandra Lavorel,Servane Lemauviel-Lavenant,Servane Lemauviel-Lavenant,Jessy Loranger,Jessy Loranger,Alexis Mikolajczak,François Munoz,Jean Olivier,Nicolas Viovy +22 more
TL;DR: This work aimed to collate, integrate and process large databases of vegetation relevés, plant traits and environmental layers to provide a country-wide assessment of ecosystem properties and services which can be used to improve regional models of climate and land use changes.
Journal ArticleDOI
Mapping canopy nitrogen in European forests using remote sensing and environmental variables with the random forests method
Yasmina Loozen,Karin T. Rebel,Steven M. de Jong,Meng Lu,Scott V. Ollinger,Martin J. Wassen,Derek Karssenberg +6 more
TL;DR: In this paper, the authors estimate spatial patterns of canopy N in European forests and investigate the degree to which including environmental variables among the predictors would improve the models compared to using remotely sensed products alone.
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