I am not the only one using tree equivalents to account for carbon offsetting. However, the term clearly means different things to different people. If you enter it as a Google search term, you’ll raise all sorts of esoteric stuff, mainly to do with analytical methods in economics, but here’s an interesting analysis from TransCanada Pipelines (http://www.methanetomarkets.org/events/2005/all/docs/cormack.pdf)
TransCanada Pipelines | ||
Emissions saved in no of tree equivalents | ||
Year | 2002 | 2003 |
tonnes methane | 191,000 | 223,000 |
tree equivalents | 232,000 | 270,630 |
tonnes per tree (CO2E) | 1.2 | 1.2 |
TransCanada is trying to show what impacts the prevention of emissions (basically leaks) from its pipelines will have. It assigns a factor of 1.2 t of carbon dioxide equivalent (CO2E, different from the straight carbon, C2, that I have been using – the factor would be 0.32 t C2) to a tree, and claims that it has prevented emissions equivalent to hundreds of thousands of trees. I am assuming that the analysis attempts to quantify the offset tree planting program it would have to launch if it were to address emissions by this means.
If I have tried to do anything so far, it is to indicate that emissions offsetting must be viewed from the point of view of annual increments in sequestration per tree. A tree does not go from zero to 1 t of sequestration of CO2E in a single year. Perhaps TransCanada wouldn’t actually plant, and has identified a stand of actively growing larger trees somewhere in the tropics of
Methane has a much higher (21 times) global warming potential (GWP) than CO2, so it is not entirely clear to me that the factor of 1.2 t is actually in CO2E. This is actually 1.2 t of methane, equivalent to 25.2 t of CO2 in global warming terms, so if I’ve done my calculations correctly, TransCanada’s tree equivalents should more honestly be numbered in the millions. These data were shown in a Powerpoint presentation, so I’m assuming that if no-one questioned the concepts espoused, they all went home feeling warm and fuzzy.
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