Page History
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- Developing practice-based indicators (e.g. scientific literature review and experts consultation)
- Using models - chosing a model, technical requirements, caveats, assumptions and uncertainties
- Hybrid approach: direct measurements with modeling/remote sensing.
- Optimal measurement strategy based on project/region characteristics and resources available (e.g. how to focus on few high-quality measurements)
- prioritization if needed (e.g. sampling design; soil C or bulk density; soil C determination using routine analysis or dry-combustion; use of pedotransfer functions)
- Dealing with data gaps (e.g. scietific literature, experts consultation, global databases)
- Chosing a model, model calibration, technical requirements and acceptable uncertainties
- Co-benefits assessment (e.g. generating water/biodiversity indicators from/in conjunction with soil C measurements)
- Optimal measurement strategy based on project/region characteristics and resources available (e.g. how to focus on few high-quality measurements)
- Aggregation aspects across larger scales to reduce project-level variation effects
- Setting up baselines (e.g. Baseline v. base year)
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