GloNAF (Global Naturalized Alien Flora) is a living database of alien plant taxa and the regions where they have been documented as naturalized or invasive. Plant taxon names are harmonized with the World Checklist of Vascular Plants (WCVP).
Data Overview
The GloNAF database version 2.0 includes 16,429 taxa which accounts for approximately 4% of the extant global flora. Spatially, GloNAF covers 1,343 terrestrial regions (including 427 islands). For the latest overview of the information covered in GloNAF see Davis et al. (2025).
Data availability
The GloNAF database files are available through the Ecology data paper by Davis et al. (2025), with the latest updates available on Zenodo. Access to the previous version (1.2) is available through the Ecology data paper by van Kleunen et al. (2019) and via the German Centre for Integrative Biodiversity Research (iDiv).
a living database
GloNAF is a dynamic database that is constantly updated and expanded. This includes the quality control of already included datasets, as well as the addition of new datasets and closing of existing data gaps.
We thus encourage experts to check the data included in GloNAF to identify potential mistakes or missing taxa. Additionally, we encourage people to contribute new data that extend existing regional species lists or close current gaps.
If you would like to contribute data to GloNAF please contact any member of the core team.
How to cite GloNAF
When using GloNAF data in your publication, we request that you cite the data paper:
Davis, Amy J. S., WayneDawson, FranzEssl, HolgerKreft, BerndLenzner, JanPergl, PetrPyšek, PatrickWeigelt, MartenWinter, and MarkvanKleunen. 2025. “The Updated Global Naturalized Alien Flora (GloNAF 2.0) Database.” Ecology106(11): e70245. https://doi.org/10.1002/ecy.70245
If GloNAF is a major part of the data analyzed in your study, you should consider inviting the GloNAF core team as collaborators. If you plan to use the GloNAF dataset, we encourage you to contact the GloNAF core team to check whether there have been recent updates of the dataset, and whether similar analyses are already ongoing to avoid redundant efforts.