Skip to content
  • Overview
  • Data & Access
    • Data summary
    • Data & Access
    • Citation & how to cite
  • Methods & Workflow
    • Tutorial: BIEN Flags and Data Augmentation
  • Tools & Services
    • TNRS
    • GNRS
    • GVS
    • NSR
    • All applications & tools
  • About
    • About BIEN
    • Participants
    • Data contributors
    • Acknowledgments
    • Links
Botanical Information and Ecology Network

Botanical Information and Ecology Network

Menu

Data and Access

Data & Access

Reach BIEN data the way that fits your work

Explore interactively, script in R, or move through a service-specific workflow. The main entry points are the BIEN Data Portal, the BIEN R package, the Species and Traits ShinyApps, and the four services that clean and integrate every record.

Entry points

Ways to access BIEN

BIEN Data Portal

Browse BIEN data interactively and review products before downloading or querying.

BIEN R package

Use BIEN from reproducible scripts, notebooks, and analysis pipelines.

BIEN Species ShinyApp

Explore species occurrence summaries and BIEN-backed visualizations.

BIEN Traits ShinyApp

Review trait-focused summaries and exploration workflows.

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

Enquist et al. 2026 describe BIEN 4.2 as an open, reproducible biodiversity informatics ecosystem. BIEN provides 98,829 curated species range maps plus 289,743 species in the associated open-access range database (Table 3). Records are standardized through TNRS, GNRS, GVS, and NSR; only about half of original records pass strict combined taxonomic and geographic validation, so BIEN attaches quality-control flags for transparent filtering. Counts are version-dependent and change between releases.

A near-complete inventory of land plants

After taxonomic standardization through the TNRS, the cumulative number of land-plant species recorded over time is approaching an asymptote — evidence that the global catalogue of land-plant species is nearing saturation, and that BIEN’s harmonized integration of GBIF and non-GBIF sources adds species beyond any single source.

Figure 5 · Cumulative species, 1750–2020

Cumulative number of Embryophyte species recorded from 1750 to 2020 across BIEN, GBIF, and other non-GBIF sources, after taxonomic standardization through the TNRS.

Species accumulation approaching saturation. Cumulative unique land-plant (Embryophyte) species recorded 1750–2020 across BIEN (green), GBIF (grey), and other non-GBIF sources (red), after TNRS standardization. BIEN integrates all sources into a comprehensive, harmonized catalogue. Source: Enquist et al. (2026), Methods in Ecology and Evolution 17(5), Fig. 5. CC BY-NC-ND 4.0.

Where the data come from — and where they are sparse

Sampling intensity is uneven. Coverage is strongest in North America and parts of the Global North, and sparser in biodiversity-rich but underrepresented regions of the Global South. Reading data with this in mind is essential for unbiased inference.

Figure 7 · Global sampling intensity

Global maps of BIEN 4.2 sampling intensity - the density of botanical observation records per 100 km cell - integrating herbarium specimens, ecological plot surveys, and trait observations.

Sampling intensity in BIEN 4.2. Density of botanical observation records per 100 km cell (quantile classes), integrating herbarium specimens, plot surveys, and trait observations. Maps highlight the uneven global distribution of plant-biodiversity data and the need for more sampling in underrepresented regions. Source: Enquist et al. (2026), Methods in Ecology and Evolution 17(5), Fig. 7. CC BY-NC-ND 4.0.

Read the data responsibly

Versioned data

Record the database version and access date with any analysis or citation.

Query-dependent outputs

Results depend on scope, filters, and validation settings.

Complementary data types

Occurrence, trait, and range products are not interchangeable.

Use-case caveat. Range products indicate modeled potential distribution, not direct proof of occupancy at all locations. See Methods and Workflow for the validation logic.

Primary 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.

The BIEN network
  • About BIEN
  • Methods and Workflow
  • Participants
  • Data contributors
  • Projects
  • Meetings
  • Publications
  • Acknowledgments
  • Links
Archive
  • Archive and legacy BIEN
  • Previous BIEN versions
  • SALVIAS
More
  • News
  • Contributor login
BIEN database version: 4.2

Search

Recent Posts

  • News

Botanical Information and Ecology Network 2026 . Powered by WordPress