United States Invasion Risk Predictions for Miscanthus Giganteus

Presenting predictions of invasion risk for the biomass crop Miscanthus × giganteus across the continental United States. It combines outputs from simulation-based statistical models and bioclimatic models to produce aggregated risk maps. The data was created by Ranjan Muthukrishnan and published in 2020.

Use Cases

• Compare aggregated invasion risk predictions from hybrid models against bioclimatic-only risk maps for Miscanthus × giganteus.
• Analyze how spatial structure and local biotic factors influence geographic patterns of invasion risk across the United States.
• Evaluate how invasion risk predictions vary for crops with different invasiveness traits, as referenced in the study's evaluation.
• Use the hybrid model's risk predictions to inform land-use decisions for novel herbaceous perennial biomass crops.

Strengths

• Predictions are made at the continental scale for the entire United States.
• The methodology integrates simulation models with statistical tools to incorporate local-scale factors.
• The dataset is associated with a published case study demonstrating a novel approach to large-scale invasion risk analysis.

Limitations

• The dataset is specific to a single species, Miscanthus × giganteus, limiting generalizability.
• The underlying simulation and modeling parameters are not detailed in the provided input.
• The data's recency is from 2020, and newer environmental or species data may not be reflected.

Provenance

Source

Dryad digital repository.

Collection Method

Generated by extending simulation models with statistical modeling tools, then combined with bioclimatic model predictions.

Freshness

Last updated on 2020-06-24.

Geography

Continental United States.