SRDB Version 5.0 aggregates published soil respiration data from field studies. It contains measurements from 2,266 studies conducted between 1961 and 2017, compiled by ORNL_CLOUD. The database focuses on seasonal and annual fluxes, including annual respiration, mean seasonal respiration, flux partitioning, temperature response, and respiration at 10 degrees Celsius.
Use Cases
- Model annual soil respiration (Rs) using temperature response (Q10) data.
- Analyze spatial patterns of mean seasonal soil respiration across temperate forests.
- Study the partitioning of soil respiration into source fluxes for carbon cycle science.
- Correlate soil respiration at 10 degrees C with other environmental datasets.
- Validate global carbon models using the improved spatio-temporal coverage from Russian and Chinese literature.
Strengths
- Contains data from 2,266 published studies.
- Provides measurements spanning a 56-year period (1961-2017).
- Includes improved coverage from Russian and Chinese scientific literature.
Limitations
- Database is dominated by temperate, well-drained forest locations, introducing a geographic bias.
- Focuses on seasonal/annual fluxes, excluding shorter-term or chamber-specific measurements.
- Data collection ended in 2017, making it temporally stale for current climate analysis.
Provenance
- Source
- ORNL_CLOUD
- Collection Method
- Compilation of published field studies reporting specific soil respiration metrics.
- Time Range
- 1961 to 2017
- Freshness
- null
- Geography
- Global, with a dominance of temperate forest locations.