Genomic Variation in Soil Springtail Populations Across Managed Forests

82 populations of the soil springtail Entomobrya nivalis were sampled across managed forests of the Black Forest, Germany. The dataset includes pooled whole-genome sequencing data analyzed for 5,391 SNPs to assess neutral genomic structure and genotype-environment associations. It was authored by Mohammad Jamil Shuvo and last updated in June 2026.

Use Cases

• Analyze population connectivity and genomic structure based on SNP allele-frequency data.
• Identify candidate genomic signals associated with environmental gradients like vegetation productivity and soil chemistry.
• Test landscape genomics frameworks for high-connectivity systems using multi-method inference approaches.
• Study the impact of forest management practices on genomic variation in soil arthropods.

Strengths

• Includes genomic data from 82 distinct populations.
• Analyzes 5,391 SNPs for population structure and environmental associations.
• Applies multiple genotype-environment association (GEA) methods for conservative signal detection.
• Focuses on a functionally important but understudied soil arthropod group.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is relatively small at 12.2 MB, which may limit the scope of analysis.

Provenance

Source

figshare

Collection Method

Pooled whole-genome sequencing from field samples, analyzed using a landscape genomics framework.

Freshness

Last updated 2026-06-04 19:04:51; freshness should be verified.

Geography

Managed forests of the Black Forest, Germany.