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

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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 formetaCommunity 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.

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Statistics and Probability, Data Descriptor, Life on Land, BIOLOGICAL TRAITS, MODELS, DIVERSITY, Library and Information Sciences, VARIABLES, Education, Database management, Life Science, Animals, PLANT FUNCTIONAL TRAITS, Community ecology, Macroecology, SPERMONDE-ARCHIPELAGO, Gestió de bases de dades, Ecology, Statistics, Biodiversity, Biological Sciences, Plants, Biota, Biodiversitat, Computer Science Applications, Research data, [SDE.BE] Environmental Sciences/Biodiversity and Ecology, Earth and Environmental Sciences, Ecological Applications, Dades de recerca, Probability and Uncertainty, BIODIVERSITY, LIFE-HISTORY TRAITS, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Statistics, Probability and Uncertainty, COMMUNITY STRUCTURE, Climate Change Impacts and Adaptation, Environmental Sciences, RESPONSES, Information Systems

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