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Signing in lets you share your observations (present, absent or rare/introduced, with an optional photo) so GreenMaps reviewers can use them to improve the maps. Browsing doesn't need an account.

We store your name, email, and the observations you submit. Only reviewed observations are public, with locations rounded to about 1 km. Privacy

About GreenMaps

GreenMaps addresses the Wallacean shortfall, the gap in what we know about where species live. Raw occurrence records leave most plants known from a handful of places and leave whole regions unsampled. GreenMaps provides predicted native range maps for the world's vascular plants, built with species distribution models calibrated to each species' dispersal ability and natural habitat.

• Species maps: each species' predicted native range, its taxonomy, and the GBIF records behind it. Search by name, by photo, or by place.
• Biodiversity maps: species richness and weighted endemism on a 0.5° grid, for any group or family. At the continental and national scale, endemism is recalculated with range sizes measured inside that region, so hotspots reflect that scale. Sampling density shows where plants have and haven't been recorded.
• Validation: predictions aren't observations. Click any cell to record whether a species is present, absent, or rare/introduced there. Votes are kept in this browser and export as Darwin Core for the lab to review.
• Ask GreenMaps: an AI assistant (Claude) that answers questions by querying these data. It does not answer from memory.

Cite: Daru, B.H. (2024) Predicting undetected native vascular plant diversity at a global scale. PNAS 121: e2319989121. doi:10.1073/pnas.2319989121. Data: Dryad doi:10.5061/dryad.5x69p8d9w. Concept: Daru (2020) GreenMaps, bioRxiv 10.1101/2020.02.21.960161.

Web ranges are simplified for speed (about 1–5 km tolerance). Basemap © Esri; occurrence data © GBIF; species photos from iNaturalist contributors (Creative Commons licences, credited on each photo).