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A global database for metacommunity ecology, integrating species, traits, environment and space

Alienor Jeliazkov 1 Darko Mijatovic Stéphane Chantepie 1 Nigel Andrew Raphaël Arlettaz 2 Luc Barbaro 3 Nadia Barsoum 4 Alena Bartonova 5 Elena Belskaya Nuria Bonada 6 Anik Brind’amour 7 Rodrigo Carvalho Helena Castro 8 Damian Chmura Philippe Choler 9 Karen Chong-Seng Daniel Cleary Anouk Cormont William Cornwell Ramiro de Campos Nicole de Voogd 10 Sylvain Doledec 11 Joshua Drew Frank Dziock Anthony Eallonardo Melanie Edgar Fábio Farneda Domingo Flores Hernandez Cédric Frenette-Dussault Guillaume Fried 12 Belinda Gallardo 13 Heloise Gibb 14 Thiago Gonçalves-Souza Janet Higuti 15 Jean-Yves Humbert Boris Krasnov 16 Eric Le Saux Zoë Lindo 17 Adria Lopez-Baucells Elizabeth Lowe Bryndis Marteinsdottir Koen Martens 18 Peter Meffert Andres Mellado-Díaz Myles Menz Christoph Meyer Julia Ramos Miranda David Mouillot 19 Alessandro Ossola Robin Pakeman Sandrine Pavoine 20 Burak Pekin Joan Pino Arnaud Pocheville 21 Francesco Pomati Peter Poschlod 22 Honor Prentice 23 Oliver Purschke 24 Valérie Raevel 25 Triin Reitalu Willem Renema Ignacio Ribera 26 Natalie Robinson Bjorn Robroek Ricardo Rocha Sen-Her Shieh Rebecca Spake Monika Staniaszek-Kik Michal Stanko 27 Francisco Leonardo Tejerina-Garro Cajo Ter Braak Mark Urban Roel Van Klink Sebastien Villeger 28 Ruut Wegman Martin Westgate Jonas Wolff 29 Jan Żarnowiec Maxim Zolotarev Jonathan Chase
Abstract : the use of functional information in the form of species traits plays an important role in explaining biodiversity patterns and responses to environmental changes. although relationships between species composition, their traits, and the environment have been extensively studied on a case-by-case basis, results are variable, and it remains unclear how generalizable these relationships are across ecosystems, taxa and spatial scales. to address this gap, we collated 80 datasets from trait-based studies into a global database for metaCommunity Ecology: Species, Traits, Environment and Space; “CEStES”. Each dataset includes four matrices: species community abundances or presences/absences across multiple sites, species trait information, environmental variables and spatial coordinates of the sampling sites. the CEStES database is a live database: it will be maintained and expanded in the future as new datasets become available. By its harmonized structure, and the diversity of ecosystem types, taxonomic groups, and spatial scales it covers, the CEStES database provides an important opportunity for synthetic trait-based research in community ecology.
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Submitted on : Tuesday, January 14, 2020 - 1:43:36 PM
Last modification on : Thursday, April 9, 2020 - 11:08:04 AM

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Alienor Jeliazkov, Darko Mijatovic, Stéphane Chantepie, Nigel Andrew, Raphaël Arlettaz, et al.. A global database for metacommunity ecology, integrating species, traits, environment and space. Scientific Data , Nature Publishing Group, 2020, 7 (1), pp.317790. ⟨10.1038/s41597-019-0344-7⟩. ⟨hal-02438887⟩

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