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

implications for terrestrial ecosystems since this is a key parameter determining net primary production (NPP),192<br />

with consequ<strong>en</strong>ces for the carbon cycle193 and a wide range of biogeochemical feedbacks. P-E is also a crucial<br />

factor for agriculture, the frequ<strong>en</strong>cy of forest fires;194 and freshwater quantity and quality.195<br />

SRM that aims to achieve uniform dimming could have both predictable and unknown side effec<strong>ts</strong> on the<br />

atmospheric cycling of nutri<strong>en</strong><strong>ts</strong>, their deposition196 and recycling processes, in soil and in the ocean. Relative to<br />

unmitigated climate change, the recycling of soil nutri<strong>en</strong><strong>ts</strong> could be expected to be slowed, since this process is<br />

highly temperature dep<strong>en</strong>d<strong>en</strong>t. However, it is not yet known to what degree SRM might be able to counteract the<br />

overall changes to nutri<strong>en</strong>t cycles that might occur in a high CO2 world.<br />

4.1.3 Projected impac<strong>ts</strong> of uniform dimming on species and ecosystems<br />

Reducing temperature through deploym<strong>en</strong>t of idealised SRM would, if achievable, b<strong>en</strong>efit those species and<br />

ecosystems id<strong>en</strong>tified in Chapter 3 as being particularly vulnerable to the negative impac<strong>ts</strong> of increased temperature<br />

due to unmitigated climate change; e.g., <strong>en</strong>demic, isolated populations (“stranded” species or on islands), and<br />

polar and mountain ecosystems. Long-lived species which are poor at adapting to climate change (e.g. non-mobile<br />

species, such as many trees, and others that reproduce slowly), are also likely to b<strong>en</strong>efit from SRM in comparison<br />

to unmitigated climate change, as are species with temperature-regulated sex determination. However, species<br />

that are particularly poor at adapting to climate change are also those most at risk from sudd<strong>en</strong> SRM termination<br />

(Section 4.1.5).<br />

There are many uncertainties relating to the ability of existing species and ecosystems to adapt to living in novel<br />

<strong>en</strong>vironm<strong>en</strong><strong>ts</strong> resulting from rapid global climate change. This is true both for a world of unmitigated climate<br />

change (high temperatures, altered precipitation patterns, increased CO2 conc<strong>en</strong>trations) and for a world where<br />

radiative forcing due to high levels of gre<strong>en</strong>house gases is masked by SRM (more diffuse light, altered precipitation<br />

patterns, high CO2 conc<strong>en</strong>trations).<br />

Overall, if i) the world behaves the way that it does in most global climate models developed to date; ii) uniform<br />

or near-uniform global dimming is achievable, and iii) there are no serious additional adverse side effec<strong>ts</strong>, th<strong>en</strong><br />

SRM-induced (uniform) dimming would greatly reduce the impac<strong>ts</strong> of climate change on biodiversity relative to a<br />

high gre<strong>en</strong>house gas world. Nevertheless, climate model predictions have their limitations (being unable to exactly<br />

match changes in the real world, particularly at fine spatial and temporal scales, i.e. regionally and annually); and<br />

there is inevitably some risk of unexpected, as well as unint<strong>en</strong>ded, side effec<strong>ts</strong>.<br />

Global-scale SRM necessarily involves “unknown unknowns”, since it is unlikely that all pot<strong>en</strong>tial risks can be<br />

id<strong>en</strong>tified through smaller-scale deploym<strong>en</strong><strong>ts</strong>.197 Furthermore, the comparison with “unmitigated climate change”<br />

necessarily covers a range of pot<strong>en</strong>tial sc<strong>en</strong>arios, although (as pointed out in Chapter 3) curr<strong>en</strong>t trajectories indicate<br />

that global warming of at least 3–5°C by 2100 is now very likely.<br />

4.1.4 Impac<strong>ts</strong> of high CO 2 under SRM<br />

SRM does not seek to reduce the atmospheric conc<strong>en</strong>trations of anthropog<strong>en</strong>ic CO2, and the process of ocean<br />

acidification will therefore continue. As a result, marine biodiversity will be increasingly exposed to the adverse<br />

impac<strong>ts</strong> of decreasing pH (Section 3.2.3). Nevertheless, there may be significant second order effec<strong>ts</strong>.198 One<br />

unint<strong>en</strong>ded, additional negative impact would be more CO2 dissolving in the ocean if i<strong>ts</strong> surface temperature has<br />

192 Zhao & Running (2010).<br />

193 Van der Mol<strong>en</strong> et al. (2011).<br />

194 Cochrane & Laurance (2008).<br />

195 Oki & Kanaer (2006).<br />

196 Kravitz et al. (2009).<br />

197 MacMynowski et al. (2011).<br />

198 Williamson & Turley (2012).<br />

47

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