Abundance Models for Two Abalone Species in Southern Australia

Ensemble species distribution models predict the presence and abundance of Haliotis rubra and H. laevigata abalone on inshore rocky reefs in Southern Australia. The models, created by researchers and provided by Parks Australia, use predictors including sea surface temperature and reef presence to generate fine-resolution predictive maps. This record was last updated on 2026-07-15.

Use Cases

• Predicting species abundance patterns based on sea surface temperature and reef habitat data.
• Modeling the potential impact of future climate change on marine mollusc distributions.
• Supporting resource management decisions with fine-resolution habitat suitability and quality maps.

Strengths

• Models were validated using an independent, spatially explicit dataset of abalone abundance patterns.
• Predictive maps are generated at a fine resolution of approximately 1 kilometer.
• The ensemble modeling approach combines two techniques: generalized linear models and boosted regression trees.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset's primary format is HTML, which may not be a standard data file for analysis.

Provenance

Source

Parks Australia, referencing source publication research.

Collection Method

Ensemble species distribution modeling combining likelihood-based generalized linear models and boosted regression trees.

Freshness

Last updated 2026-07-15 02:53:00.513125; freshness should be verified.

Geography

Southern Australia, specifically inshore rocky reefs.