Ecophysiological Model Forecasts for a Cerrado Lizard

Data Sheet 1 contains model outputs forecasting climate-driven extinction risk for the endemic lizard Micrablepharus atticolus. Cavalcante compared species distribution models built with environmental predictors, thermal performance, hours of activity, and hybrid combinations. Projections of habitat suitability were made for 2050 and 2070 using 12 global circulation models, three representative concentration pathways, and three land-use scenarios.

Use Cases

• Compare model accuracy metrics like True Skill Statistic (TSS) across environment-only, thermal performance, and hybrid models.
• Analyze projected changes in suitable habitat area for M. atticolus under different future climate and land-use scenarios.
• Validate the claim that ecophysiology-based models predict higher future extinction risk than environment-only models using the provided model outputs.

Strengths

• Model outputs are based on projections from 12 global circulation models and three representative concentration pathways.
• Model accuracy was quantified using a standardized metric (True Skill Statistic).

Limitations

• The dataset is small at 38.7 MB, suggesting limited raw data or a focused set of model outputs.
• Specific row counts, column names, and sample data are unavailable for direct inspection.
• The findings are specific to a single lizard species (Micrablepharus atticolus) in the Cerrado biome.

Provenance

Source

Vitor H. G. L. Cavalcante via figshare.

Collection Method

Outputs from species distribution models comparing environmental and ecophysiological predictors.

Time Range

Projections for 2050 and 2070.

Freshness

Last updated April 7, 2026.

Geography

Cerrado biome, Brazil.