A_historic_regression).
Annex 2 — Calculation tables
Every table of this appendix is read from one workbook, which can be downloaded here; each sheet holds one table, its name is given in the table’s caption, and the sheet Contents lists them all.
⬇ Download PB_calculation_tables.xlsx
Historic control regression
Ex-post performance benchmark
B_expost_benchmark).
Ex-ante stocking index by management stream
C_exante_si).
Ex-ante performance benchmark
D_exante_benchmark).
Note on the control series of this table. The ex-ante control stocking index is constant over the crediting period (Table 11): the historic control slope is negative, so the control is projected at its 2019 value with no increment. The ordinary least-squares regression of a constant series has a slope of exactly zero and a standard error of zero, for which the statistics library used returns undefined values; the ex-ante script assigns instead the exact values for a flat line: slope 0, standard error 0 and p-value 1. The table is computed on the series of Table 11 as it stands. The previous edition of this table was computed on a control series entered as −0.35 at t = 1 and −0.345 thereafter, with the Acacia to Pine biomass rounded to whole numbers; on the series as it stands the PBt is the same in every year for both management streams.
PBt for Acacia to Eucalyptus is 0 at t = 52 and t = 54, by the rule; the previous edition left these two cells blank. No removals occur in either year.
Biomass and stocking index observations
E_biomass_si).
Remote sensing datasets and time stamps
F_imagery).
Stocking index per plot and year
G_si_per_plot_year).