Environment and Heritage

About BioNet Vegetation Classification

BioNet Vegetation Classification is the repository for NSW landscapes and vegetation classification data.

What data are maintained in BioNet Vegetation Classification?

Information about NSW Plant Community Types and their relationships within the NSW vegetation classification hierarchy is maintained in BioNet Vegetation Classification. The BioNet Vegetation Classification application also contains the NSW landscapes data collection.

Plant Community Types (PCTs) are the master community-level typology used in NSW planning and assessment tools and vegetation mapping and management programs. The PCT classification is maintained in the BioNet Vegetation Classification application. This includes PCT descriptions, relationships to higher levels in the NSW vegetation classification hierarchy, associations with threatened biodiversity, vegetation condition benchmarks and estimates of PCT clearing loss.

PCTs are mapped in the State Vegetation Type Map. For more information about the NSW Plant Community Type classification program, visit NSW plant community type classification.

The application includes these data collections:

  • Vegetation Classification, including:
    • PCT Classification
    • PCT % Cleared data
    • PCT-Threatened Ecological Community Associations
    • Vegetation Condition Benchmarks
    • Vegetation Class and Vegetation Formation Classification
  • NSW Landscapes.

Access BioNet Vegetation Classification

For information on accessing BioNet applications and data, visit the Access BioNet page.

Access archived datasets

With the commencement of the Biodiversity Conservation Act 2016 and Biodiversity Assessment Method (BAM) on 25 August 2017, the Vegetation Classification and Threatened Species Profiles (TSP) datasets have evolved.

Archived datasets are available. These can be used to look up, for example, BioMetric Vegetation Type ID (BVT ID) and corresponding PCT ID, CMA-related data including BVT % cleared estimates and vegetation condition benchmark data.

User resources

Contact us

BioNet team

Email: [email protected]