Soil Organic Carbon Simulation Outputs for a Red Soil Agricultural Site in China

2018 simulations provide soil organic carbon (SOC) content data from the ECOSSE model for the Sunjia agricultural catchment in Jiangxi province, China. The dataset was generated by the Chinese Academy of Sciences and published by the Environmental Information Data Centre.

Use Cases

• Calibrate the ECOSSE model's SOC predictions using site-specific soil and climate input data from the research farm.
• Analyze simulated SOC content changes under the agricultural and climatic conditions of the Sunjia Critical Zone Observatory.
• Validate regional carbon turnover models against this SOC simulation output for red soil ecosystems in southeast China.

Strengths

• Data is derived from a recognized process-based model (ECOSSE) for carbon and nitrogen turnover.
• Simulations are anchored to a specific, studied agricultural catchment (Sunjia) within a Critical Zone Observatory.
• Model runs were conducted in 2018 using input data from a authoritative research institution (Chinese Academy of Sciences).

Limitations

• The dataset scope is limited to a single small catchment (Sunjia) and one simulation year (2018), reducing generalizability.
• Without column details, the specific output variables and their structure are unknown, complicating direct analysis.
• As model outputs, the data reflects theoretical simulations and may not fully capture real-world soil carbon dynamics.

Provenance

Source

Environmental Information Data Centre

Collection Method

Simulations performed using the ECOSSE model with soil and climate input data from a Chinese Academy of Sciences research farm.

Time Range

2018

Freshness

null

Geography

Sunjia agricultural catchment, Jiangxi province, southeast China