Seasonal Submerged Macrophyte Dynamics and Restoration Potential in Baiyangdian Lake

Field surveys and seed bank germination experiments from Baiyangdian Lake reveal that species richness in submerged macrophyte communities declined steadily from spring to autumn. The dataset, authored by Kai Mo and last updated in May 2026, integrates species richness, biomass, community structure, and environmental variables like chlorophyll-a and sediment phosphorus. It provides a process-based foundation for ecological risk diagnosis and season-specific restoration planning in shallow lake ecosystems.

Use Cases

• Modeling seasonal community assembly processes based on β-diversity partitioning results.
• Identifying key environmental drivers like chlorophyll-a and sediment phosphorus for different seasons.
• Classifying site ecological trajectories into risk types using the described decision-matrix framework.
• Assessing seed bank contributions to species richness and restoration potential.

Strengths

• Integrates multiple data sources: field surveys, seed bank germination experiments, and multivariate analyses.
• Provides specific statistical results, including a PERMANOVA R² value of 0.1662 for seasonal community differences.
• Identifies shifting key environmental drivers (e.g., chlorophyll-a in spring, sediment organic matter in autumn).
• Released under a permissive CC-BY-4.0 license for reuse.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for large-scale modeling.
• The 560.4 KB file size suggests a limited scope of data points.

Provenance

Source

Kai Mo via figshare

Collection Method

Field surveys, seed bank germination experiments, and multivariate analyses.

Time Range

Seasonal coverage (spring, summer, autumn) is implied, but specific years are not stated.

Freshness

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

Geography

Baiyangdian Lake.