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Sectoral Impacts<br />

stunting indicate substantial increases, particularly in severe<br />

stunting in Sub-Saharan Africa (23 percent) and South Asia<br />

(62 percent) (Lloyd, Kovats, and Chalabi 2011).<br />

Water Resources<br />

It is well established that climate change will bring about substantial<br />

changes in precipitation patterns, as well as in surface<br />

temperature and other quantities that govern evapotranspiration<br />

(see for example, Meehl, Stocker, and Collins 2007). The associated<br />

changes in the terrestrial water cycle are likely to affect the nature<br />

and availability of natural water resources and, consequently,<br />

human societies that rely on them. As agriculture is the primary<br />

water consumer globally, potential future water scarcity would put<br />

at risk many societies’ capacity to feed their growing populations.<br />

However, other domestic and industrial water uses, including cooling<br />

requirements, for example, for thermal power plants, as well as the<br />

functioning of natural ecosystems also depend on the availability<br />

of water. The magnitude and timing of surface water availability<br />

is projected to be substantially altered in a warmer world. It is<br />

very likely that many countries that already face water shortages<br />

today will suffer from increased water stress in a 4°C world and<br />

that major investments in water management infrastructure would<br />

be needed in many places to alleviate the adverse impacts, and<br />

tap the potential benefits, of changes in water availability. In the<br />

following, recent model predictions are referenced in order to<br />

provide an outline of the nature and direction of change expected<br />

for warming of 4°C and beyond.<br />

Changes to Levels of Precipitation and<br />

Water Stress in a 2°C World and in a 4°C+<br />

World<br />

Fung et al. (2011) explicitly investigate the difference between<br />

a 4°C world and a 2°C world, using the MacPDM hydrological<br />

model, which is driven by a large perturbed-physics climate model<br />

ensemble based on the HadCM3L climate model. Because they<br />

define the 1961–1990 average temperature as their baseline, their<br />

4°C world is actually about 4.4°C warmer than the preindustrial one.<br />

The bottom line of this study is that globally changes in<br />

annual runoff are expected to be amplified once warming has<br />

reached 4°C compared to one in which it has reached 2°C; that<br />

is, on a large scale, the hydrological response to global warming<br />

appears rather linear. Regions experiencing drier conditions<br />

—namely, generating less runoff—under 2°C warming are projected<br />

to become even drier under 4°C (and vice versa). Drier<br />

conditions are projected for southern Europe, Africa (except<br />

some areas in the northeast), large parts of North America and<br />

South America, and Australia, among others. Wetter conditions<br />

are projected for the northern high latitudes, that is, northern<br />

North America, northern Europe, and Siberia. In the ensemble<br />

average, mean annual runoff decreases in a 2°C world by around<br />

30, 20, 40, and 20 percent in the Danube, Mississippi, Amazon,<br />

and Murray Darling river basins, respectively, while it increases<br />

by around 20 percent in both the Nile and the Ganges basins,<br />

compared to the 1961–190 baseline period. Thus, according to<br />

Fung et al. (2011), all these changes are approximately doubled<br />

in magnitude in a 4°C world.<br />

Fung et al. (2011) also look at a simple water stress index, using<br />

the ratio of annual mean runoff to population in a given basin as<br />

a measure of water resources per capita. The SRES A1B emissions<br />

scenario, from which the 2°C and 4°C climate projections are<br />

derived, is set in relation to a scenario of future population growth<br />

based on a medium UN population projection. In a 2°C world,<br />

relatively small runoff changes combined with large population<br />

growth over the next few decades mean that changes in water stress<br />

would mostly be dominated by population changes, not climate<br />

changes. Increasing water demand would exacerbate water stress<br />

in most regions, regardless of the direction of change in runoff.<br />

However, in a 4°C world, climate changes would become large<br />

enough to dominate changes in water stress in many cases. Again,<br />

water stress is expected to increase in southern Europe, the United<br />

States, most parts of South America, Africa, and Australia, while<br />

it is expected to decrease in high latitude regions. A fragmented<br />

picture emerges for South and East Asia, where increased runoff<br />

from monsoon rainfall in some areas competes with populationdriven<br />

increases in demand (while other areas may see reduced<br />

monsoon runoff).<br />

There are complexities beyond this large-scale, annual mean<br />

picture. In five of the six major river basins studied in detail by<br />

Fung et al. (2011), the seasonality of runoff increases along with<br />

global warming, that is, wet seasons become wetter and dry seasons<br />

become drier. This means that while an increase in annual<br />

mean runoff, for example, in the Nile or the Ganges basin may<br />

appear beneficial at first sight, it is likely to be distributed unevenly<br />

across the seasons, possibly leading to increased flooding in the<br />

high-flow season, while hardly improving water stress in the<br />

low-flow season. This would have severe adverse consequences<br />

for affected populations, especially if the seasonality of runoff<br />

change would be out of phase with that of demand, such as for<br />

crop growing or the cooling of thermal power plants. Major investments<br />

in storage facilities would be required in such cases in order<br />

to control water availability across the year and actually reap the<br />

local benefits of any increases in runoff. For such basins as the<br />

Ganges, another reason to strengthen water management capacities<br />

is that hydrological projections for the Indian monsoon region<br />

are particularly uncertain because of the inability of most climate<br />

models to simulate accurately the Indian monsoon. Quantitative<br />

results for this region based on a single climate model (as used by<br />

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