Skip to Main content Skip to Navigation
Journal articles

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, 4 Nadia Barsoum 5 Alena Bartonova 6 Elena Belskaya Nuria Bonada 7 Anik Brind’amour 8 Rodrigo Carvalho Helena Castro 9 Damian Chmura Philippe Choler 10 Karen Chong-Seng Daniel Cleary Anouk Cormont William Cornwell Ramiro de Campos Nicole de Voogd 11 Sylvain Doledec 12 Joshua Drew Frank Dziock Anthony Eallonardo Melanie Edgar Fábio Farneda Domingo Flores Hernandez Cédric Frenette-Dussault Guillaume Fried 13 Belinda Gallardo 14 Heloise Gibb 15 Thiago Gonçalves-Souza Janet Higuti 16 Jean-Yves Humbert Boris Krasnov 17 Eric Le Saux Zoë Lindo 18 Adria Lopez-Baucells Elizabeth Lowe Bryndis Marteinsdottir Koen Martens 19 Peter Meffert Andres Mellado-Díaz Myles Menz Christoph Meyer Julia Ramos Miranda David Mouillot 20 Alessandro Ossola Robin Pakeman Sandrine Pavoine 21 Burak Pekin Joan Pino Arnaud Pocheville 22 Francesco Pomati Peter Poschlod 23 Honor Prentice 24 Oliver Purschke 25 Valérie Raevel 26 Triin Reitalu Willem Renema Ignacio Ribera 27 Natalie Robinson Bjorn Robroek Ricardo Rocha Sen-Her Shieh Rebecca Spake Monika Staniaszek-Kik Michal Stanko 28 Francisco Leonardo Tejerina-Garro Cajo Ter Braak Mark Urban Roel Van Klink Sebastien Villeger 29 Ruut Wegman Martin Westgate Jonas Wolff 30 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.
Document type :
Journal articles
Complete list of metadatas

https://hal-univ-lyon1.archives-ouvertes.fr/hal-02438887
Contributor : Nathalie Lyvet <>
Submitted on : Tuesday, January 14, 2020 - 1:43:36 PM
Last modification on : Thursday, July 30, 2020 - 3:00:45 AM

Links full text

Identifiers

Citation

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.6. ⟨10.1038/s41597-019-0344-7⟩. ⟨hal-02438887⟩

Share

Metrics

Record views

477