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

Jeliazkov, Alienor ; Prentice, Honor C LU and Chase, Jonathan M. (2020) In Scientific Data 7(1).
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,... (More)
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. © 2020, The Author(s). (Less)
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publication status
published
subject
keywords
article, community ecology, ecosystem
in
Scientific Data
volume
7
issue
1
article number
6
publisher
Nature Publishing Group
external identifiers
  • scopus:85077695167
  • pmid:31913312
ISSN
2052-4463
DOI
10.1038/s41597-019-0344-7
language
English
LU publication?
yes
id
eb300847-3f9b-43e0-85aa-8ebe27cf6f78
date added to LUP
2020-01-22 12:56:55
date last changed
2020-12-29 03:10:37
@article{eb300847-3f9b-43e0-85aa-8ebe27cf6f78,
  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. © 2020, The Author(s).},
  author       = {Jeliazkov, Alienor and Prentice, Honor C and Chase, Jonathan M.},
  issn         = {2052-4463},
  language     = {eng},
  number       = {1},
  publisher    = {Nature Publishing Group},
  series       = {Scientific Data},
  title        = {A global database for metacommunity ecology, integrating species, traits, environment and space},
  url          = {http://dx.doi.org/10.1038/s41597-019-0344-7},
  doi          = {10.1038/s41597-019-0344-7},
  volume       = {7},
  year         = {2020},
}