Eastern Massasauga Rattlesnake Gene Flow and Landscape Simulations

2020 research data by Michelle F. DiLeo investigates landscape influences on gene flow for the eastern massasauga rattlesnake. The dataset contains results from spatial Bayesian clustering and landscape resistance analyses for two regional populations. It includes simulation outputs used to disentangle the effects of spatially confounded features like water bodies and roads.

Use Cases

• Analyze the correlation between genetic clustering patterns and landscape features like water bodies across regional populations.
• Apply spatial Bayesian clustering outputs to model landscape resistance and its impact on gene flow.
• Use simulation data to assess the confounding effects of long-standing natural features versus contemporary anthropogenic features like roads on genetic differentiation.
• Investigate the inferred effects of population density or juvenile versus adult dispersal tendencies on local genetic structure.

Strengths

• Data originates from a peer-reviewed scientific study published in 2020.
• Analysis includes two distinct regional populations of the eastern massasauga rattlesnake, allowing for comparative study.
• Dataset is licensed under CC0-1.0, permitting unrestricted reuse and analysis.

Limitations

• Specific data dimensions (rows, columns), file formats, and sample data are unavailable, limiting immediate usability assessment.
• The study notes that the effects of roads may be confounded with the signal from water bodies, introducing analytical complexity.
• Findings are specific to the studied reptile species and two regional landscapes, limiting generalizability.

Provenance

Source

Dryad digital repository.

Collection Method

Spatial Bayesian clustering and landscape resistance analysis based on genetic and spatial data, supplemented with spatially explicit simulations.

Freshness

Last updated in June 2020.

Geography

Two regional populations of the eastern massasauga rattlesnake (Sistrurus c. catenatus).