Soil Organic Carbon Distribution in Third Pole Frozen Ground at 1 km² Scale

Based on soil profile data from 458 pits and 114 cores, this dataset provides soil organic carbon storage and spatial distribution estimates at depths of 0–30 cm, 0–50 cm, 0–100 cm, 0–200 cm, and 0–300 cm. It was created by Dong Wang of the Chinese Academy of Sciences using a machine-learning approach on multiple environmental variables. The data is stored as geospatial grids at a 1 km² resolution for the frozen ground area of the Third Pole region.

Use Cases

• Modeling soil carbon stocks for Earth system models based on the provided 1 km² scale estimates.
• Analyzing the relationship between soil organic carbon and environmental controls mentioned in the study.
• Mapping the spatial distribution of soil organic carbon at different depth intervals (0-300 cm) for the Third Pole region.
• Assessing carbon storage in vulnerable frozen ground ecosystems based on the machine-learning derived estimates.

Strengths

• Derived from a substantial field sample of 458 soil pits and 114 soil cores.
• Provides estimates for five specific soil depth intervals (0-30 cm, 0-50 cm, 0-100 cm, 0-200 cm, 0-300 cm).
• Spatial data is provided at a consistent and fine 1 km² resolution.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.
• The dataset's total size and specific file formats are not detailed in the provided metadata.

Provenance

Source

paperswithcode

Collection Method

Machine-learning approach applied to soil profile data and environmental variables.

Geography

Frozen ground area of the Third Pole region.