A global database for metacommunity ecology, integrating species, traits, environment and space
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 ba...
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Published in | Scientific data Vol. 7; no. 1; p. 6 |
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Main Authors | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
London
Nature Publishing Group UK
08.01.2020
Nature Publishing Group |
Subjects | |
Online Access | Get full text |
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Summary: | 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.
Measurement(s)
species abundance • species trait • environmental feature • latitude • longitude
Technology Type(s)
digital curation
Factor Type(s)
year of data collection • type of ecosystem • level of human disturbance
Sample Characteristic - Environment
terrestrial natural environment • fresh water • marine biome • anthropogenic terrestrial biome • natural environment • area of mixed forest • cultivated environment
Sample Characteristic - Location
Earth (planet)
Machine-accessible metadata file describing the reported data:
https://doi.org/10.6084/m9.figshare.11317790 |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 ObjectType-Article-2 ObjectType-Undefined-1 ObjectType-Feature-3 content type line 23 |
ISSN: | 2052-4463 2052-4463 |
DOI: | 10.1038/s41597-019-0344-7 |