Bin Xia authored a dataset investigating peatland organic carbon components. The study analyzes labile, less labile, and recalcitrant organic carbon along a water table gradient across different regions of China. The dataset was last updated on 2026-06-01.
Use Cases
- Modeling peatland carbon stock sensitivity based on water table depth.
- Analyzing the distribution of labile versus recalcitrant carbon fractions mentioned in the description.
- Studying the impact of climate change on carbon sink functions in peatlands.
Strengths
- Dataset focuses on carbon-dense peatland ecosystems.
- Analysis is conducted across a defined water table gradient (5 cm above, 5 cm below, and 15 cm below).
- Data covers peatlands from multiple regions within China.
Limitations
- Row count and dataset scale are unknown.
- Column-level documentation is absent; field semantics must be inferred after download.
- Description metadata is limited; actual data quality requires manual inspection after download.
Provenance
- Source
- Bin Xia via figshare.
- Collection Method
- Research study investigating peat organic carbon components along a water table gradient.
- Freshness
- Last updated 2026-06-01 08:41:14.
- Geography
- Peatlands across different regions of China.