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EXECUTIVE SUMMARY<br />

800 <br />

thousands <strong>of</strong> tons <strong>of</strong> CO2 eq. <br />

600 <br />

400 <br />

200 <br />

0 <br />

-­‐200 <br />

-­‐400 <br />

-­‐600 <br />

BAU SPR <br />

0 10 20 30 40 <br />

Time Horizon (years) <br />

Figure 3. A whisker plot <strong>of</strong> category indicator results for Global Climate Change (Net). The 90% confidence <br />

intervals are shown for all results in the time horizon, along with the first and third quartiles for each <br />

scenario. <br />

As this figure shows, there is an overlap in category indicator results for both the 90% confidence <br />

intervals, and the 50% confidence intervals, due to the uncertainties <strong>of</strong> the results in BAU and SPR <br />

scenarios. There are two main factors driving this uncertainty: <br />

• For the SPR scenario, the inclusion <strong>of</strong> the secondary consequences from avoided CCA <br />

production. If the secondary consequences are less significant than projected in these <br />

findings, the results become ambiguous between the two scenarios. <br />

• For both the BAU and SPR scenarios, the large uncertainty in the S-­‐CF (the GWP). As noted, <br />

the IPCC estimates that GWPs have an uncertainty <strong>of</strong> ±35%, regardless <strong>of</strong> the time horizon <br />

used. This is a significant level <strong>of</strong> uncertainty; regardless <strong>of</strong> the inclusion <strong>of</strong> secondary <br />

consequences in the SPR scenario, the uncertainty in the S-­‐CFs means that the two scenarios <br />

have a close overlap. This highlights the fact that the uncertainty in results for Global <br />

Climate Change, and more generally, those for carbon footprints, is much higher than is <br />

commonly understood. <br />

Based on this uncertainty analysis, it is estimated that there is an 70% likelihood that the SPR <br />

scenario has a lower indicator result for Global Climate Change (Net) after 40 years. These results <br />

show that the SPR scenario has an advantage over the BAU scenario for this category indicator, the <br />

scale <strong>of</strong> which is dependent on the size <strong>of</strong> the secondary consequences resulting from the <br />

introduction <strong>of</strong> steel utility poles. This result casts into question the common assumption that treated <br />

wood products have a lower carbon footprint than steel products. Depending on the market effects <br />

in the SPR scenario, there may be a marked benefit <strong>of</strong> the use <strong>of</strong> steel poles. <br />

April 2013 | ©SCS Global Services <br />

ES-­‐ 12

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