In retrospect, given the large volumes of data collected by all three monitoring teams, it would have been advantageous to have appropriate databases designed to house to manage all this data and support analyses.
Key Lessons Learned: 1. REDD+ projects may need to establish datasets that can quantitatively measure rates of change in carbon dioxide emissions for the specific area. 2. To achieve this, a vast volume of data will need be collected. 3. This data will require management, verification and protection. 4. This can be done in Excel but, more ideally, in a properly designed database, with back-up protocols in place.
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KFCP | Vegetation Monitoring, Fire Management Monitoring, and Peat and Hydrology Monitoring