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Author Correction: A global database for metacommunity ecology, integrating species, traits, environment and space
- Source :
- Scientific Data, Scientific Data, Vol 7, Iss 1, Pp 1-1 (2020), Scientific Data, 7(1), Scientific Data 7 (2020) 1, Scientific data, vol 7, iss 1, Dipòsit Digital de Documents de la UAB, Universitat Autònoma de Barcelona
- Publication Year :
- 2020
-
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.<br />Measurement(s)species abundance • species trait • environmental feature • latitude • longitudeTechnology Type(s)digital curationFactor Type(s)year of data collection • type of ecosystem • level of human disturbanceSample Characteristic - Environmentterrestrial natural environment • fresh water • marine biome • anthropogenic terrestrial biome • natural environment • area of mixed forest • cultivated environmentSample Characteristic - LocationEarth (planet) Machine-accessible metadata file describing the reported data: 10.6084/m9.figshare.11317790
- Subjects :
- Statistics and Probability
Metacommunity
Earth Observation and Environmental Informatics
Data Descriptor
Ecology (disciplines)
Biophysics
Library and Information Sciences
Space (commercial competition)
Biodiversity and Policy
Education
Aardobservatie en omgevingsinformatica
Biodiversiteit en Beleid
Life Science
Community ecology
lcsh:Science
Macroecology
Biodiversity
PE&RC
Data science
Computer Science Applications
Geography
Biometris
Biofysica
lcsh:Q
Statistics, Probability and Uncertainty
Information Systems
Subjects
Details
- ISSN :
- 20524463
- Volume :
- 7
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- Scientific data
- Accession number :
- edsair.doi.dedup.....b390e1af9c44ea6f75eac043f7313074