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Table 6 AP2 summary table: SW T was used as ancillary variable to estimate the SW NC or the SW C input data

From: EU mitigation potential of harvested wood products

Approach

(a)

(b)

(c)

(d)

Eq. (6)

Eq. (6) + difference

Eq. (6) + Const. aver.

Constant average

Key data

R2 > |0.66|

R2 > |0.66|

R2 > |0.66|

R2 > |0.66|

R2 > |0.66|

R2 > |0.66|

for IRWT or T

for IRWT or T

for IRWT or T

for IRWT or T

for IRWT or T

for IRWT or T

SW C

Yes:

Yes:

No:

No:

No:

No:

f(IRWT or T)

f(IRWT or T)

SWT-SWNC

Const. Average

SWT-SWNC

Const. Average

SW T

Not used

Yes:

Yes:

Yes:

Yes:

Not used

f(IRWT or T)

f(IRWT or T)

f(IRWT or T)

f(IRWT or T)

SW NC

Yes:

No:

Yes:

No:

No:

No:

f(IRWT or T)

SWT-SWC

f(IRWT or T)

SWT-SWC

Const. Average

Const. Average

WP

Yes:

    

No:

f(IRWT or T)

    

Const. Average

PP

Yes:

    

No:

f(IRWT or T)

    

Const. Average

  1. If the coefficient of determination (R 2) is > |0.66| (Yes in the table), a linear regression is used with either IRW T or time. If no significant correlation can be established, the average of the past 20 years is used for the future (Constant average in the table).