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Field Monitoringfor Lulucf Projects Tim Pearson Bio C Fplus Ii
1. Field Monitoring for LULUCF Projects Winrock International Training Seminar for BioCarbon Fund Projects
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3. Developing a measurement plan Define Project Boundary Stratify project area Decide which carbon pools to measure Develop sampling design – plot type, shape, size, number, and layout Determine measurement frequency
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9. Stratify project area If the system is highly variable then splitting or stratifying it into definable units can reduce variation and consequently M and M costs Define Project Boundary Stratify Which carbon pools? Sampling Design Measurement frequency
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11. Decide which carbon pools to measure Define Project Boundary Stratify Which carbon pools? Sampling design Measurement frequency
33. Calculating change in tree biomass ( increments of trees remaining in subplot size class) + ( increments for outgrowth trees [= max biomass for size class – biomass at time 1]) + ( increments for ingrowth trees [= biomass at time 2 – min biomass for size class † ]) † Minimum biomass for each size class is calculated by entering the minimum dbh for that size class into the regression equation (5 cm for the small plot, 20 cm for the intermediate plot and 70 cm for the large plot)
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Editor's Notes
In practice to create your measuring and monitoring plan you need some idea of the variability in the system. A small expenditure in the initial stages will furnish you with this information. If the system is highly variable then splitting or stratifying it into definable units can reduce this variation and consequently the measuring and monitoring costs. Using a coarse example biologically we might separate the world into boreal, temperate and tropical regions because we would expect the variation between regions to be greater than the variation within regions. On a project level we might stratify according to vegetation type or soil type or perhaps the presence or absence of irrigation or roads. Again an initial expenditure on analysis can lead to significant savings in measuring and monitoring.
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