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Part I: Impac<strong>ts</strong> of Climate-related Geo<strong>en</strong>gineering on Biological Diversity<br />

however, the assumption of uniform dimming is only valid (and might still be unachievable) for space-based or<br />

stratospheric-based techniques where particular effort is made to achieve that goal. Reviews170, 171 of resul<strong>ts</strong> from<br />

those idealised models have concluded that: i) it is theoretically possible to fully counteract, at the global scale,<br />

the radiative forcing due to increased anthropog<strong>en</strong>ic gre<strong>en</strong>house gases under such sc<strong>en</strong>arios; and ii) the projected<br />

temperature changes due to gre<strong>en</strong>house gas forcing can be greatly reduced for all areas of the planet. However,<br />

uniform dimming simulations are unable to fully restore surface temperatures to either curr<strong>en</strong>t or pre-industrial<br />

conditions at the regional level, since the temperature gradi<strong>en</strong><strong>ts</strong> betwe<strong>en</strong> the equator and both poles are reduced.<br />

As a result, the modelled SRM interv<strong>en</strong>tions leave either excess cooling in the tropics, or excess warming in high<br />

latitudes, or both, compared to existing conditions.<br />

Water availability is at least as crucial as temperature for biodiversity, ecosystems and human well-being. Thus it is<br />

an important finding that the modelled cooling caused by uniform dimming is also appar<strong>en</strong>tly able to counteract<br />

most of the precipitation changes caused by increased atmospheric levels of gre<strong>en</strong>house gases (previously pres<strong>en</strong>ted<br />

in Figure 3.2). But not all of those precipitation changes are offset: models of the “SRM world” that fully counter<br />

anthropog<strong>en</strong>ic radiative forcing consist<strong>en</strong>tly show a slowing of the hydrological cycle, with up to a 2% decrease<br />

in global mean precipitation compared to the curr<strong>en</strong>t climate. This may be most pronounced over land and/or in<br />

equatorial regions, among the most biodiverse regions.<br />

Thus the overall conclusion of several groups, working with differ<strong>en</strong>t models, is that uniform dimming, if achievable,<br />

could reduce the worst negative impac<strong>ts</strong> of unmitigated climate change, yet is also likely to lead to significant<br />

geographical redistribution of such climatic effec<strong>ts</strong>.172, 173, 174, 175, 176, 177, 178<br />

The speed with which SRM would be expected to reduce temperatures, once deployed at the global scale, is a unique<br />

attribute of these techniques. While SRM would start reducing temperature immediately after global deploym<strong>en</strong>t,<br />

in a similar way to volcanically-induced cooling,179 it would take decades (or longer) for emissions cu<strong>ts</strong> or CDR<br />

deploym<strong>en</strong>t to lower global temperatures. This means that space- or stratospheric-based SRM is the only approach<br />

developed to date180 that might allow a rapid reduction in temperatures, should that be considered necessary.<br />

As indicated above, if the cooling from SRM were realized as simulated by (idealised) models, many of the projected<br />

impac<strong>ts</strong> of unmitigated climate change on biodiversity would be much reduced. However, there is scope for further<br />

modelling work, since many uncertainties remain. Thus existing model outcomes cannot yet be used to confid<strong>en</strong>tly<br />

predict the totality of effec<strong>ts</strong>, comprising not only which areas are projected to b<strong>en</strong>efit (fully, partially or maybe<br />

not at all, compared with unmitigated control) from reduced changes in temperature and precipitation under SRM<br />

deploym<strong>en</strong>t, but also the magnitude and relative importance—or unimportance—of other, unint<strong>en</strong>ded effec<strong>ts</strong> on<br />

biodiversity, ecosystems and their services.<br />

The uncertainties associated with comparisons of regional climate changes in a high CO2 world with and without<br />

SRM are inher<strong>en</strong>t in the complexity of the climate system i<strong>ts</strong>elf, affecting the ability of models to fully repres<strong>en</strong>t<br />

all the interacting physical and biogeochemical processes at the scale needed for regional climate projections. It<br />

170 Rasch et al. (2008).<br />

171 Vaughan & L<strong>en</strong>ton (2011).<br />

172 Matthews & Caldeira (2007).<br />

173 Robock et al. (2008).<br />

174 Caldeira & Wood (2008).<br />

175 Ricke et al. (2010).<br />

176 Lunt et al. (2008).<br />

177 Schmidt et al. (2012).<br />

178 Pongratz et al. (2012).<br />

179 Dutton & Christy (1992).<br />

180 Relatively rapid cooling might also be possible from cirrus cloud manipulation; however, the practicalities of that techniques have<br />

yet to be investigated. The most rapid temperature reduction realistically achievable through mitigation is estimated to be ~1°C in 50<br />

years, based on combined actions on CO2, methane and black carbon [Shindell et al. (2012)].<br />

45

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