Bark Beetle Infestation Risk Factors Across Multiple Scales

This dataset supports a multi-scale analysis of drivers for European spruce bark beetle (Ips typographus) outbreaks over a 23-year period in the Bavarian Forest National Park. It investigates factors across seven orders of magnitude in scale, from 10³ to 10¹⁰ m², to understand regional and landscape influences on infestation risk.

Use Cases

• Model infestation risk using time-discrete hazard modeling to account for local factors and temporal dependencies.
• Apply beta regression to determine the influence of regional and landscape-scale drivers on bark beetle outbreak waves.
• Analyze the relationship between landscape-scale connectedness of host and beetle populations and regional infestation levels.
• Investigate the role of regional summer drought as a trigger for infestation pulses using the 23-year temporal coverage.

Strengths

• Analysis spans seven orders of magnitude in spatial scale, from 10³ to 10¹⁰ m².
• Temporal coverage extends over a 23-year period for longitudinal study.
• Focuses on a specific, ecologically significant region: the Bavarian Forest National Park.

Limitations

• Geographic scope is limited to a single national park, which may limit generalizability to other regions.
• Specific data structure, column details, and sample size are not provided in the input.

Provenance

Source

Dryad digital repository.

Collection Method

Time-discrete hazard modeling and beta regression applied to multi-scale spatial and temporal data.

Time Range

23-year period (specific start year not provided, last update 2020).

Freshness

Data was last updated in June 2020.

Geography

Bavarian Forest National Park in Central Europe.