| What is the range of GHG emissions in the SRES scenarios and how do they
  relate to driving forces? The SRES scenarios cover most of the range of carbon dioxide (CO2 ; see
  Figures SPM-2a and SPM-2b), other GHGs, and sulfur emissions found in the
  recent literature and SRES scenario database. Their spread is similar to
  that of the IS92 scenarios for CO2 emissions from energy and industry as well
  as total emissions but represents a much wider range for land-use change. The
  six scenario groups cover wide and overlapping emission ranges. The range of
  GHG emissions in the scenarios widens over time to capture the long-term uncertainties
  reflected in the literature for many of the driving forces, and after 2050 widens
  significantly as a result of different socio-economic developments.  Table SPM-2b summarizes the emissions across the scenarios in 2020, 2050,
  and 2100. Figure SPM-3 shows in greater detail the ranges of total CO2 emissions
  for the six scenario groups of scenarios that constitute the four families (the
  three scenario families A2, B1, and B2, plus three groups within the A1 family
  A1FI, A1T, and A1B). 
  
    | 
	   (click to enlarge)
  (click to enlarge)
 | Figure SPM-2: Global CO2  emissions
	  related to energy and industry (Figure SPM-2a) and land-use changes
	  (Figure SPM-2b) from 1900 to 1990, and for the 40 SRES scenarios from
	  1990 to 2100, shown as an index (1990 = 1). The dashed time-paths depict
	  individual SRES scenarios and the area shaded in blue the range of scenarios
	  from the literature as documented in the SRES database. The scenarios
	  are classified into six scenario groups drawn from the four scenario
	  families. Six illustrative scenarios are highlighted. The colored vertical
	  bars indicate the range of emissions in 2100. The four black bars on
	  the right of Figure SPM-1a  indicate the emission ranges in 2100 for
	  the IS92 scenarios and three ranges of scenarios from the literature,
	  documented in the SRES database. These three ranges indicate those scenarios
	  that include some additional climate initiatives (designated as "intervention"
	  scenarios), those that do not ("non-intervention"), and those that cannot
	  be assigned to either category ("non-classified"). This classification
	  is based on a subjective evaluation of the scenarios in the database
	  and was possible only for energy and industry CO2  emissions. SAR, Second
	  Assessment Report.
     |  Some SRES scenarios show trend reversals, turning points (i.e., initial
  emission increases followed by decreases), and crossovers (i.e., initially emissions
  are higher in one scenario, but later emissions are higher in another scenario).
  Emission trend reversals (see Figures SPM-2 and SPM-3)
  depart from historical emission increases. In most of these cases, the upward
  emissions trend due to income growth is more than compensated by productivity
  improvements combined with a slowly growing or declining population. 
  
    |  (click to enlarge)
 | Figure SPM-3: Total global annual
	  CO2 emissions from all sources (energy, industry, and land-use change)
	  from 1990 to 2100 (in gigatonnes of carbon (GtC/yr) for the families
	  and six scenario groups. The 40 SRES scenarios are presented by the
	  four families (A1, A2, B1, and B2) and six scenario groups: the fossil-intensive
	  A1FI (comprising the high-coal and high-oil-and-gas scenarios), the
	  predominantly non-fossil fuel A1T, the balanced A1B in Figure SPM-3a;
	  A2 in Figure SPM-3b; B1 in Figure SPM-3c, and B2 in Figure SPM-3d. Each
	  colored emission band shows the range of harmonized and non-harmonized
	  scenarios within each group. For each of the six scenario groups an
	  illustrative scenario is provided, including the four illustrative marker
	  scenarios (A1, A2, B1, B2, solid lines) and two illustrative scenarios
	  for A1FI and A1T (dashed lines). |  In many SRES scenarios CO2 emissions from loss of forest cover peak after
  several decades and then gradually decline 7
  (Figure SPM-1b). This pattern is consistent with
  scenarios in the literature and can be associated with slowing population growth,
  followed by a decline in some scenarios, increasing agricultural productivity,
  and increasing scarcity of forest land. These factors allow for a reversal of
  the current trend of loss of forest cover in many cases. Emissions decline fastest
  in the B1 family. Only in the A2 family do net anthropogenic CO2 emissions from
  land use change 2
  remain positive through 2100. As was the case for energy-related emissions,
  CO2 emissions related to land-use change in the A1 family cover the widest range.
  The diversity across these scenarios is amplified through the high economic
  growth, increasing the range of alternatives, and through the different modeling
  approaches and their treatment of technology. 
  
    | 
	 
 
	   (click to enlarge)
 
	Figure SPM-4: Total global cumulative
	  CO2 emissions (GtC) from 1990 to 2100 (SPM-4a) and histogram of their
	  distribution by scenario groups (SPM-4b). No probability of occurrence
	  should be inferred from the distribution of SRES scenarios or those
	  in the literature. Both figures show the ranges of cumulative emissions
	  for the 40 SRES scenarios. Scenarios are also grouped into four cumulative
	  emissions categories: low, medium-low, medium-high, and high emissions.
	  Each category contains one illustrative marker scenario plus alternatives
	  that lead to comparable cumulative emissions, although often through
	  different driving forces. This categorization can guide comparisons
	  using either scenarios with different driving forces yet similar emissions,
	  or scenarios with similar driving forces but different emissions. The
	  cumulative emissions of the IS92 scenarios are also shown.
 
  (click to enlarge)
 Figure SPM-5: Standardized (to
	  common 1990 and 2000 values) global annual methane emissions for the
	  SRES scenarios
	  (in MtCH4 /yr). The range of emissions by 2100 for the six scenario
	  groups is indicated to the right. Illustrative (including marker) scenarios
	  are highlighted. 
  (click to enlarge)
 Figure SPM-6: Standardized (to
	  common 1990 and 2000 values) global annual nitrous oxides emissions
	  for the SRES scenarios (in MtN/yr). The range of emissions by 2100 for
	  the six scenario groups is indicated to the right. Illustrative (marker)
	  scenarios are highlighted.		   |  Total cumulative SRES carbon emissions from all sources through 2100 range
  from approximately 770 GtC to approximately 2540 GtC. According to the IPCC
  Second Assessment Report (SAR), "any eventual stabilised concentration is governed
  more by the accumulated anthropogenic CO2 emissions from now until the time
  of stabilisation than by the way emissions change over the period." Therefore,
  the scenarios are also grouped in the report according to their cumulative emissions.8
  (see Figure SPM-4). The SRES scenarios extend the IS92 range toward higher emissions
  (SRES maximum of 2538 GtC compared to 2140 GtC for IS92), but not toward lower
  emissions. The lower bound for both scenario sets is approximately 770 GtC. Total anthropogenic methane (CH4) and nitrous oxide (N2O) emissions span
  a wide range by the end of the 21st century (see Figures SPM-5
  and SPM-6 derived from Figures 5.5
  and 5.7). Emissions of these gases in a number
  of scenarios begin to decline by 2050. The range of emissions is wider than
  in the IS92 scenarios due to the multimodel approach, which leads to a better
  treatment of uncertainties and to a wide range of driving forces. These totals
  include emissions from land use, energy systems, industry, and waste management. Methane and nitrous oxide emissions from land use are limited in A1 and
  B1 families by slower population growth followed by a decline, and increased
  agricultural productivity. After the initial increases, emissions related
  to land use peak and decline. In the B2 family, emissions continue to grow,
  albeit very slowly. In the A2 family, both high population growth and less rapid
  increases in agricultural productivity result in a continuous rapid growth in
  those emissions related to land use. The range of emissions of HFCs in the SRES scenario is generally lower than
  in earlier IPCC scenarios. Because of new insights about the availability
  of alternatives to HFCs as replacements for substances controlled by the Montreal
  Protocol, initially HFC emissions are generally lower than in previous IPCC
  scenarios. In the A2 and B2 scenario families HFC emissions increase rapidly
  in the second half of the this century, while in the A2 and B2 scenario families
  the growth of emissions is significantly slowed down or reversed in that period. Sulfur emissions in the SRES scenarios are generally below the IS92 range,
  because of structural changes in the energy system as well as concerns about
  local and regional air pollution. These reflect sulfur control legislation in
  Europe, North America, Japan, and (more recently) other parts of Asia and other
  developing regions. The timing and impact of these changes and controls vary
  across scenarios and regions 9. After initial increases over the next two to three decades, global sulfur emissions
  in the SRES scenarios decrease (see Table SPM-1b),
  consistent with the findings of the 1995 IPCC scenario evaluation and recent
  peer-reviewed literature. Similar future GHG emissions can result from very different socio-economic
  developments, and similar developments of driving forces can result in different
  future emissions. Uncertainties in the future developments of key emission
  driving forces create large uncertainties in future emissions, even within the
  same socio-economic development paths. Therefore, emissions from each scenario
  family overlap substantially with emissions from other scenario families. The
  overlap implies that a given level of future emissions can arise from very different
  combinations of driving forces. Figures SPM-1, SPM-2,
  and SPM-3 show this for CO2 . Convergence of regional per capita incomes can lead to either high or low
  GHG emissions. Tables SPM-1a and SPM-1b
  indicate that there are scenarios with high per capita incomes in all regions
  that lead to high CO2 emissions (e.g., in the high-growth, fossil fuel intensive
  scenario group A1FI). They also indicate that there are scenarios with high
  per capita incomes that lead to low emissions (e.g., the A1T scenario group
  or the B1 scenario family). This suggests that in some cases other driving forces
  may have a greater influence on GHG emissions than income growth. 
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