Seasonal Drought Effects on Water-Carbon Coupling in a Semi-Arid Grassland

A 2023–2024 field manipulation experiment in Inner Mongolia simulated extreme drought for 50 consecutive days across three seasonal windows. The dataset includes plot-level ecological measurements like evapotranspiration, gross primary productivity, and biomass, alongside daily meteorological observations. It was created by Yuan Liu to analyze how drought timing and plant community composition jointly influence ecosystem water–carbon coupling.

Use Cases

• Modeling ecosystem water use efficiency based on evapotranspiration and gross primary productivity data.
• Analyzing drought-response pathways by comparing extreme drought timing treatments across seasonal windows.
• Investigating functional differences between graminoid-dominated and shrub-dominated plant communities using biomass and physiological measurements.
• Studying the interaction between soil moisture limitation, atmospheric water demand, and carbon uptake using soil water content and climatic water deficit data.

Strengths

• Data from a controlled split-plot field experiment with three seasonal drought treatments and three plant community types.
• Includes both plot-level ecological measurements and daily meteorological observations for the experimental period.
• Published under a CC-BY-4.0 license, facilitating open reuse and analysis.

Limitations

• The dataset is small (30.2 KB), indicating limited scope and likely a small number of observations.
• 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.

Provenance

Source

Maodeng Pasture Ecological Research Station, Inner Mongolia, China.

Collection Method

Generated from a field manipulation experiment using rainout shelters for drought simulation.

Time Range

2023–2024

Freshness

Last updated 2026-05-18 09:54:33; freshness should be verified.

Geography

Semi-arid temperate steppe in Inner Mongolia, China.