Global Lake Bacterial Diversity Across Climate Zones with Future Projections

827 global lakes across five Köppen climate zones provide species richness data for lake bacteria, based on 2,599 16S rRNA gene samples. The dataset includes environmental variables for current and future bioclimate scenarios (SSP126, SSP245, SSP585) and is accompanied by R scripts for Linear Mixed-Effects Model and Random Forest analyses. It was authored by Keshao Liu and last updated on 2026-05-16.

Use Cases

• Modeling current bacterial diversity patterns based on environmental variables across climate zones.
• Projecting future trajectories of lake microbial communities based on SSP climate scenarios.
• Training Random Forest models to identify key environmental drivers of bacterial species richness.
• Applying Linear Mixed-Effects Models to account for spatial clustering in global lake data.

Strengths

• Includes data from 827 lakes across five distinct climate zones.
• Contains 2,599 individual 16S rRNA gene samples.
• Provides environmental variables for three future climate scenarios (SSP126, SSP245, SSP585).
• Comes with R scripts for two specific statistical analyses.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The 1.0 MB size suggests a relatively small dataset, potentially limiting model complexity.

Provenance

Source

figshare

Collection Method

Likely compiled from field sampling and genetic sequencing of lake water samples.

Freshness

Last updated 2026-05-16 03:08:51; freshness should be verified.

Geography

Global, covering lakes across five Köppen climate zones.