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Emissions Scenarios - IPCC

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260 Emission Scénarios<br />

significantly (Table 5-5). In the A2 (A2-ASF) and B2 (B2-<br />

MESSAGE) markers, emissions increase throughout the whole<br />

time horizon to the year 2100. This increase is most<br />

pronounced in the A2 marker scenario, in which emissions<br />

reach about 900 MtCH^ by 2100 (about a three-fold increase of<br />

1990 levels). The emission level by 2100 for the B2 marker,<br />

600 MtCH^, is about twice as high as in 1990.<br />

fossil fuel production and agricultural animals (Table 5-5).<br />

Agricultural animals are the major source of emissions in the<br />

A2 marker, with fossil fuels being second, and landfills and<br />

sewage third in importance. In the Bl marker, fossil fuels<br />

produce the largest volumes of CH^, followed by agricultural<br />

sources (Table 5-5). Finally, the B2 marker emissions originate<br />

primarily from landfills and sewage, followed by fossil fuels<br />

The four SRES marker scenarios illustrate a complexity of<br />

relative impacts of technology, GDP, and population on CH^<br />

emissions. In 2050 and 2100 the A2 and B2 markers have very<br />

similar per capita emissions, which indicates a certain<br />

similarity between the cumulative impact of economic,<br />

technological, and structural changes on emissions in both of<br />

these scenarios (in spite of significant differences in the global<br />

average per capita incomes). Hence, differences in the absolute<br />

emission levels in these scenarios can be explained primarily<br />

by differences in population trajectories, with the A2<br />

population in 2100 being 1.5 times larger than the B2<br />

population. At the same time, differences in the absolute<br />

emissions between the AlB and Bl markers cannot be<br />

explained by population size (both markers have the same<br />

population trajectory), but instead result from the greater<br />

emphasis on "dematerialization" and "sustainability" in the В1<br />

storyline. The two illustrative scenarios AlG-MiniCAM and<br />

AIT-MESSAGE display similar pattems of methane emissions<br />

as the A2 and Bl marker scenarios respectively and are<br />

therefore not discussed separately here.<br />

At the sectoral level, CH^ emissions in the AlB marker<br />

originate primarily from landfills and sewage followed by<br />

5.4.2. Nitrous Oxide<br />

Uncertainties in the estimates of current N,0 emissions (Table<br />

5-3) are also reflected in base-year 1990 differences, between<br />

4.8 and 6.9 MtN across the six models used to develop the<br />

SRES scenarios. The range across the four markers (Table 5-3)<br />

is not as wide, between 6.0 and 6.9 MtN, and leans more toward<br />

the higher end of the uncertainty range reported in Houghton et<br />

al. (1995). After standardization, 1990 N^O emissions in the<br />

SRES scenarios were set to 6.7 MtN, well within the <strong>IPCC</strong><br />

WGI SAR range (Table 5-3). Even more so than for CH^, food<br />

supply is assumed to be a key determinant of future N2O<br />

emissions. Size, age structure, and regional spread of the global<br />

population are likely to affect future emission trajectories,<br />

together with diets and rates of improvement in agricultural<br />

productivity. The representation of how these driving forces<br />

translate into NjO emissions varies across the models because<br />

of differences in both sectoral coverage and emission factors.<br />

As a result, differences in emission trajectories are not only<br />

scenario dependent, but also model dependent, which illustrates<br />

additional uncertainties in our understanding and representation<br />

of driving forces and their influence on N2O emissions.<br />

-ЛШ MAGE<br />

— A В MESSAGE<br />

-AlB MIMCAM<br />

— A(G MESSAGE<br />

\1V MIVICSM<br />

Л2 » MimeAM<br />

Ü<br />

О B2 !4i,GF<br />

аз мпяслм<br />

о- - вгнюнMLNiCAM<br />

2010 2030 2050 2070 2090<br />

Figure 5-7: Standardized global NjO emissions for SRES scenarios, classified into four scenario families (each denoted by a<br />

difterent color code - Al, red; A2, brown; Bl, green; B2, blue). Marker scenarios are shown with thick lines without ticks,<br />

globally harmonized scenarios with thin lines, and non-harmonized scenarios with thin, dotted tines (see Table 4-3). Black lines<br />

show percentiles, means, and medians for SRES scenarios. For numbers on the two additional illustrative scenarios AlFI and<br />

AIT see Appendix VII.

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