Ips Typographus Genetic Data on Managed and Unmanaged Forest Dispersal

Genetic data from a study on the European spruce bark beetle, Ips typographus, investigates dispersal dynamics between managed and unmanaged forest stands. The dataset includes mitochondrial and nuclear genome sequences used for inferential population genetics. Analysis by Valeria Montano, published in 2020, supports Bayesian inferences of migration rates.

Use Cases

• Estimate migration rates between managed and unmanaged forest stands using Bayesian inference on genetic data.
• Construct a most parsimonious dispersal tree to visualize gene flow patterns from mitochondrial and nuclear genomes.
• Analyze the impact of forest management strategies on Ips typographus dispersal dynamics through population genetics.

Strengths

• Data underpins a peer-reviewed scientific study on a significant forest pest.
• Includes genetic data from both mitochondrial and nuclear genomes for population analysis.
• Dataset is openly licensed under CC0-1.0 for unrestricted reuse.

Limitations

• Sample size and specific row count are not provided in the metadata.
• Geographic scope and precise time range of data collection are unspecified.
• Data format and structure are unknown, requiring investigation before use.

Provenance

Source

Dryad digital repository.

Collection Method

Inferential population genetics applied to mitochondrial and nuclear genome sequences.

Freshness

Last updated on 2020-06-24.