Mining buried plant trait data from the Global Biodiversity Information Facility (GBIF): Comparison and integration with multiple plant trait databases
Takuro Katori, Michio Oguro · 2026
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Description
Takuro Katori and Michio Oguro mine a global species database for plant traits in a 2026 study. Trait databases list plant features such as lifespan, growth form, and flower color. Many species still lack entries, which slows ecology research. The pair asked whether plain text in a global biodiversity database hides trait facts that can fill those gaps.
They pulled four traits for vascular plants from the text and four trait databases. Adding the mined data raised species counts for each trait, most sharply for flower color. The mined values matched database values well for three traits, with flower color the weak spot. The team merged all sources into one data set for future plant work.
Catalog record
| CREATOR | Takuro Katori, Michio Oguro |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 48 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |