ArticleScientific data2020
A global database for metacommunity ecology, integrating species, traits, environment and space.
Article in Scientific data, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 16 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
16 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Meta-analysis reveals widespread negative associations between species richness and ecological uniqueness.Nature communications · 2026Pooled it
- A roadmap to define and select aquatic biological traits at different scales of analysis.Scientific reports · 2023Pooled it
- A trait database for the characterization of diatom communities in disconnected pools.Scientific data · 2026Article
- Time series of freshwater macroinvertebrate abundances and site characteristics of European streams and rivers.Scientific data · 2024Article
- Online toolkits for collaborative and inclusive global research in urban evolutionary ecology.Ecology and evolution · 2024Article
- A global dataset on species occurrences and functional traits of Schizothoracinae fish.Scientific data · 2024Article
- Functional trait dataset of benthic macroinvertebrates in South Korean streams.Scientific data · 2023Article
- MOSAIC - A Unified Trait Database to Complement Structured Population Models.Scientific data · 2023Article
- Two dominant forms of multisite similarity decline - Their origins and interpretation.Ecology and evolution · 2023Article
- The utility of the 'Arable Weeds and Management in Europe' database: Challenges and opportunities of combining weed survey data at a European scale.Weed research · 2023Article
- Distance decay 2.0 - A global synthesis of taxonomic and functional turnover in ecological communities.Global ecology and biogeography : a journal of macroecology · 2022Article
- Taxonomic and functional components of avian metacommunity structure along an urban gradient.PloS one · 2022Article
- Estimating the movements of terrestrial animal populations using broad-scale occurrence data.Movement ecology · 2021Review
- A roadmap towards predicting species interaction networks (across space and time).Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2021Review
- Delineating reef fish trophic guilds with global gut content data synthesis and phylogeny.PLoS biology · 2020Article
- A global database for metacommunity ecology, integrating species, traits, environment and space.Scientific data · 2020Article
Corrections and comments
- Erratum issued
Authors and funding
80 authors.
Funding
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.