Native Vegetation Regulation 2017: Habitat Importance Maps for Threatened Species

A series of spatial maps describing the importance of suitable habitat within the current extent of native vegetation for rare or threatened species. These models were developed for use in native vegetation removal regulations under the 2017 rules, with thresholds applied to exclude lower likelihood areas from species-specific assessment. The data is provided by the Department of Energy, Environment and Climate Action and was last updated in April 2026.

Use Cases

• Calculate habitat value and offsets for development proposals based on the 2017 native vegetation regulations.
• Model and visualize the distribution of suitable habitat for rare or threatened species with dispersed or highly localised habitats.
• Apply thresholds to habitat importance scores to focus regulatory assessments on higher likelihood areas.
• Support geospatial analysis for conservation planning by integrating habitat importance with other land-use data.

Strengths

• Maps are specifically designed for use in the legally defined native vegetation removal regulations (2017).
• Habitat importance is calculated differently for dispersed versus highly localised species, reflecting IUCN categorisation.
• Data is provided in multiple common geospatial raster formats including TIFF, JPEG, and GEOTIFF.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for large-scale analysis.
• The description does not specify the exact number of species or the spatial resolution of the maps.

Provenance

Source

Department of Energy, Environment and Climate Action

Collection Method

Spatial modeling for regulatory purposes, likely based on species distribution and native vegetation extent.

Time Range

Based on the 2017 regulations; temporal coverage of underlying data is not specified.

Freshness

Last updated 2026-04-27 22:11:18.677489; freshness should be verified.

Geography

Likely covers the state of Victoria, Australia, given the use of the vicgrid94 projection.