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Nature Research, Scientific Data, 1(7), 2020

DOI: 10.1038/s41597-019-0344-7

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

Journal article published in 2020 by Alienor Jeliazkov ORCID, Darko Mijatovic, Stéphane Chantepie, Nigel Andrew ORCID, Raphaël Arlettaz, Luc Barbaro ORCID, Nadia Barsoum, Alena Bartonova ORCID, Elena Belskaya, Núria Bonada ORCID, Anik Brind’Amour, Rodrigo Carvalho ORCID, Helena Castro ORCID, Damian Chmura ORCID, Philippe Choler and other authors.
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Abstract

AbstractThe 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.