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Botanical Information and Ecology Network

Botanical Information and Ecology Network

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BIEN Overview

Overview

One standardized, analysis-ready home for plant biodiversity data

The Botanical Information and Ecology Network (BIEN) integrates hundreds of millions of plant observations — herbarium and museum specimens, citizen-science records, vegetation plots, and functional traits — into a single, quality-controlled, reproducible resource. Every record carries provenance and validation flags, so you can filter transparently and reproduce exactly what you did.

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How the workflow works


Hand-colored botanical illustration of a flowering plant from Addisonia, New York Botanical Garden, 1916.
Illustration by Mary Emily Eaton, in Addisonia (NYBG, 1916). Public domain · Image credits

BIEN 4.2 in numbers

284M
plant occurrence records
363,258
vegetation plots
25.9M
trait observations (54 standardized traits)
98,829
species with BIEN range maps

Counts reflect the BIEN 4.2 release (Enquist et al. 2026, Table 3). BIEN provides 98,829 curated species range maps, plus 289,743 species in the associated open-access range database. Figures are version-dependent and change between releases.

What BIEN is

BIEN is a data ecosystem, not just a database. Unstandardized, siloed observations are imported, cleaned, standardized, and integrated through openly available services — reachable through a web interface, R packages, or an API — and then housed in a single database. From that harmonized core BIEN produces end products such as species range maps and climate-change forecasts that diverse research communities use for biodiversity science.

Figure 3 · The BIEN ecosystem

Diagram of the BIEN ecosystem: siloed data are imported, cleaned, standardized and integrated through open services accessed via web UI, R packages or an API, housed in a single database, and used to produce products such as range maps and forecasts.

The BIEN ecosystem. Siloed, unstandardized data are imported, cleaned, standardized, and integrated using open services accessed through a web UI, R packages, or an API, then housed in one database and turned into end products for diverse user communities. Source: Enquist et al. (2026), Methods in Ecology and Evolution 17(5), Fig. 3. CC BY-NC-ND 4.0.

Why standardization matters

Large biodiversity datasets rarely arrive ready for analysis. Species names carry synonyms and misspellings; coordinates fall in oceans or on political centroids; cultivated records are mixed with wild populations. In BIEN 4.2, only about half of original records pass strict combined taxonomic and geographic validation. Rather than hide those losses, BIEN attaches quality-control flags to every record so researchers filter data explicitly instead of relying on hidden assumptions.

Every record passes through four coordinated services, each adding flags you can use to subset the data:

TNRS
Taxonomic Name Resolution
GNRS
Geographic Name Resolution
GVS
Geocoordinate Validation
NSR
Native Species Resolver

See the full methods and workflow →

What the harmonized data reveal

Because every range is built on the same standardized backbone, individual species maps can be stacked into continental and global pictures of plant diversity. The map below stacks 289,743 land-plant (Embryophyta) ranges to show where richness concentrates — and how the pattern differs among flowering plants, ferns and allies, bryophytes, and gymnosperms.

Figure 6 · Global plant richness

Global plant biodiversity maps created by stacking 289,743 land-plant species ranges from the BIEN database, with overall richness and a breakdown by flowering plants, ferns and allies, bryophytes, and gymnosperms.

Global plant richness from 289,743 stacked ranges. Species ranges were modeled and stacked on a Mollweide equal-area grid at 5 km resolution; maps show total land-plant richness and a breakdown by major clade. Source: Enquist et al. (2026), Methods in Ecology and Evolution 17(5), Fig. 6. CC BY-NC-ND 4.0.

Move quickly from orientation to work

Data and Access

Data portal, the BIEN R package, and interactive applications.

Methods and Workflow

The four validation services and the quality-control logic.

Applications & Tools

Shiny apps, TNRS/GNRS/GVS/NSR services, and validations.

Citation and Publications

How to cite BIEN and the studies built on it.

BIEN complements GBIF

GBIF mobilizes biodiversity records across all taxa. BIEN harmonizes, validates, and links plant records — adding taxonomic, geographic, native-status, and trait context — to support reproducible ecological and evolutionary inference. The two are complementary layers of the open biodiversity-data landscape.

Scientific caveat. Coverage is strongest for New World vascular plants, and sampling effort is spatially and taxonomically uneven. Modeled range maps are statistical predictions, not verified occupancy. Analyses should report filters, provenance, and uncertainty explicitly.

Citation: Enquist BJ, Boyle B, Maitner BS, et al. (2026). BIEN: A biodiversity informatics ecosystem advancing open and reproducible workflows for plant observation, plot and trait data. Methods in Ecology and Evolution, 17(5), 1556–1584. DOI: 10.1111/2041-210X.70274.

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