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Carbon Credits (Carbon Farming Initiative—Reforestation and Afforestation 2.0) Methodology Determination 2015
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118 Calculating number of plots required for probable limit of error
(1) The number of plots likely to be required to achieve a target probable limit of error must be calculated in accordance with Equations 29a and 29b.
(2) The coefficient of variation for the sample population of plots is to be calculated using the following formula:
| | Equation 29a |
| = | coefficient of variation, as a percentage. |
|---|---|
| = | standard deviation for the sample population, in tonnes per hectare of CO2‑e (t.ha‑1 CO2‑e). |
| = | mean value calculated for the sample population, in tonnes per hectare of CO2‑e (t.ha‑1 CO2‑e). |
(3) The minimum number of plots likely to be required to achieve a target probable limit of error is to be calculated as follows, and rounded up to the nearest whole number:
| | Equation 29b |
| = | minimum number of plots required. |
|---|---|
| = | coefficient of variation as a percentage, calculated in accordance with Equation 29a. |
| = | two‑sided students t‑value for the 90% confidence level at the appropriate degrees of freedom ( ‑1, where m is the number of plots in the sample population used to estimate CV). |
| = | target probable limit of error, as a percentage. |
Subdivision 14—Calculating biomass for biomass sample trees and test trees