Spatial Risk of Woody Vegetation and Koala Habitat Loss in New South Wales

New South Wales predictions for woody vegetation and koala habitat loss risk from 2011 to 2021. The dataset provides spatially explicit risk models for three land-clearing drivers: agriculture, forestry, and infrastructure. It was created by The University of Queensland using data from the NSW Statewide Land and Trees Study (SLATS).

Use Cases

• Prioritize conservation areas based on predicted risk of koala habitat loss.
• Model the impact of different land-clearing drivers (agriculture, forestry, infrastructure) on woody vegetation.
• Assess regional deforestation patterns using Koala Modelling Regions (KMRs).
• Inform policy decisions for the NSW Koala Strategy using spatially explicit risk predictions.

Strengths

• Spatially explicit predictions at a 25 m × 25 m resolution before aggregation.
• Risk models developed separately for three distinct land-clearing drivers.
• Models fitted to deforestation patterns observed from 2011 to 2021.
• Independent risk models constructed for each Koala Modelling Region (KMR).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect geographic and temporal bias inherent to the NSW SLATS source.

Provenance

Source

The University of Queensland via data_gov_au

Collection Method

Statistical models fitted to deforestation patterns from the NSW Statewide Land and Trees Study (SLATS).

Time Range

2011 to 2021

Freshness

Last updated 2026-05-12 23:38:14.969188; freshness should be verified.

Geography

New South Wales, Australia