Propagule Pressure Estimates for Species Invasion Risk Analysis

Data from Dryad supports research on species invasions by extending proxy variables with hierarchical models. The study evaluates ballast water volume as a proxy and projects absolute propagule pressure with probability distribution functions. It was authored by D. Andrew R. Drake and last updated in June 2020.

Use Cases

• Model propagule size probability distributions to identify extreme introduction events that may overcome Allee thresholds.
• Evaluate the hindcast accuracy of the ballast water volume proxy variable across different spatial scales.
• Combine ecological and global trade data within hierarchical statistical models to generate absolute propagule pressure estimates.
• Analyze the leptokurtosis and long right tails in estimated propagule sizes to assess invasion risk across geographic pathways.

Strengths

• Derives absolute propagule pressure with probability distribution functions, providing a quantitative basis for invasion studies.
• Evaluates a common proxy variable (ballast water volume) with specific reported hindcast accuracy metrics (R² values of 0.058 and 0.169).
• Reports extreme ranges in propagule size, with maximum values between 131-fold and 2966-fold greater than median values.

Limitations

• The dataset's specific structure, row count, column names, and file formats are unknown from the provided input.
• Findings are based on model projections and hindcast evaluations, which may contain inherent uncertainties from the underlying data and assumptions.
• Temporal and geographic coverage of the source ecological and trade data is not specified, limiting direct assessment of representativeness.

Provenance

Source

Dryad digital repository.

Collection Method

Generated by combining ecological and global trade data with hierarchical statistical models to extend proxy variables.

Freshness

Last updated on 2020-06-24.