Floodplain Lake Metabolism and Carbon Dynamics Over 30 Years

A floodplain lake dataset integrates five years of field data with machine learning to estimate 30 years of ecosystem metabolic rates. It includes gross primary production, ecosystem respiration, and net ecosystem production, elucidating responses to seasonal and long-term water level variations. The data shows that a decadal decline in water levels suppressed metabolism and shifted the lake toward a weaker carbon source.

Use Cases

• Analyzing the impact of water level decline on gross primary production and ecosystem respiration
• Modeling long-term shifts in net ecosystem production and carbon source strength
• Investigating spatial metabolic differences between sub-lakes, main lake, and channels
• Assessing the role of anthropogenic water regulation versus climate warming on carbon cycling

Strengths

• Integrates five years of field data with machine learning for a 30-year estimation period
• Provides detailed metrics for ecosystem metabolic rates (GPP, ER, NEP)
• Cross-platform presence on figshare indicates established sharing

Limitations

• Column names are not provided in the metadata, limiting precise understanding of data structure
• Row count is unspecified, obscuring dataset size
• Geographic location of the specific floodplain lake is not stated

Provenance

Source

Junjie Jia

Collection Method

Integration of five years of field data with machine learning estimation

Time Range

30 years

Freshness

Last updated on 2026-03-21

Geography

A floodplain lake (specific location not provided)