ArticleScientific data2024
The AusTraits plant dictionary.
Article in Scientific data, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Integrating scanned literature and online sources to build a data text collection for plant biodiversity.Biodiversity data journal · 2026Article
- Continental-scale empirical evidence for relationships between fire response strategies and fire frequency.The New phytologist · 2025Article
- The AusTraits plant dictionary.Scientific data · 2024Article
- Using large language models to extract plant functional traits from unstructured text.Applications in plant sciencesArticle
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Authors and funding
27 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Traits with intuitive names, a clear scope and explicit description are essential for all trait databases. The lack of unified, comprehensive, and machine-readable plant trait definitions limits the utility of trait databases, including reanalysis of data from a single database, or analyses that integrate data across multiple databases. Both can only occur if researchers are confident the trait concepts are consistent within and across sources. Here we describe the AusTraits Plant Dictionary (APD), a new data source of terms that extends the trait definitions included in a recent trait database, AusTraits. The development process of the APD included three steps: review and formalisation of the scope of each trait and the accompanying trait description; addition of trait metadata; and publication in both human and machine-readable forms. Trait definitions include keywords, references, and links to related trait concepts in other databases, enabling integration of AusTraits with other sources. The APD will both improve the usability of AusTraits and foster the integration of trait data across global and regional plant trait databases.
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