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

作者: Joan Pino i Vilalta , Alienor Jeliazkov , Darko Mijatovic , Stéphane Chantepie , Nigel Andrew

DOI: 10.1038/S41597-019-0344-7

关键词:

摘要: The use of functional information in the form species traits plays an important role explaining biodiversity patterns and responses to environmental changes. Although relationships between composition, their traits, environment have been extensively studied on a case-by-case basis, results are variable, it remains unclear how generalizable these across ecosystems, taxa spatial scales. To address this gap, we collated 80 datasets from trait-based studies into global database for metaCommunity Ecology: Species, Traits, Environment Space; “CESTES”. Each dataset includes four matrices: community abundances or presences/absences multiple sites, trait information, variables coordinates sampling sites. CESTES is live database: will be maintained expanded future as new become available. By its harmonized structure, diversity ecosystem types, taxonomic groups, scales covers, provides opportunity synthetic research ecology.

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