Emissions Scenarios - IPCC
Emissions Scenarios - IPCC
Emissions Scenarios - IPCC
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Scenario Driving Forces 145<br />
the extent of rice ai'ea), but also by changes in the productivity<br />
of animals as these alter the CH^ emission factor.<br />
Some authors doubt that assumed increases in meat production<br />
and animal productivity can be sustained indefinitely. For<br />
example, Brown and Kane (1995) argue that livestock<br />
production cannot be increased greatly because nearly all of<br />
the world's suitable rangelands are intensively exploited<br />
already. They claim that the rapidly growing demand for meat<br />
and dairy products can only be met by livestock production in<br />
feedlots, which would result in a rising demand for feed that<br />
requires further development of agricultural land and further<br />
GHG emissions.<br />
an emission factor by the sum of mineral and organic nitrogen<br />
applied as fertilizer. The emission factor depends on the<br />
fertilizer type and local environmental circumstances, and<br />
those used in <strong>IPCC</strong> (1996) resuh in an assumed loss of 1.25%<br />
(range 0.25 to 2.25%) of nitrogen as N2O per year.<br />
To estimate the trend in fertilizer use, difterent references<br />
employ different approaches. For example, Leggett et al.<br />
(1992) directiy estimate the amount of feitilizer used, whereas<br />
Alcamo et al. (1996) back-calculate fertilizer use from the<br />
future amount of agricultural land. Despite these difterent<br />
approaches, estimates of future fertilizer use are quite<br />
consistently given as an increase by about a factor 1.4 to 2.8<br />
between 1990 and 2100.<br />
3.5.5. Nitrous Oxide <strong>Emissions</strong> from Agriculture<br />
budgets are associated with considerable uncertainties.<br />
Agricultural activities and animal production systems are the<br />
largest anthropogenic sources of these emissions. Recent<br />
calculations using <strong>IPCC</strong> 1996 revised guidelines indicate that<br />
emission from agriculture is 6.2 MtN as N^O per year<br />
(<strong>IPCC</strong>, 1996; Mosier et al., 1998). About one-third is related to<br />
direct emissions from the soil, another third is related to N^O<br />
emission from animal waste management, and the final third<br />
originates from indirect emissions through ammonia<br />
(NH3), nitrogen oxides (N0,,), and nitrate losses. This compares<br />
to earlier estimates of total anthropogenic emissions that range<br />
between 3.7 and 7.7 MtN (Houghton et al., 1995). Industrial<br />
sources contribute between 0.7 to 1.8 MtN (Houghton et al.,<br />
1995; see also Chapter 5, Table 5-3 and Section 3.6.2).<br />
Total natural emissions amount to 9.0 ± 3.0 MtN as N2O, so<br />
oceans, tropical, and temperate soils are together the most<br />
important source of N2O today. Atmospheric concentrations of<br />
N2O in 1992 were 311 parts per billion ( 10') by volume (ppbv)<br />
(Houghton et ai, 1995); the 1993 rate of increase was 0.5 ppbv,<br />
somewhat lower than that in the previous decade of<br />
approximately 0.8 ppbv per year (Houghton et al., 1996).<br />
Among the anthropogenic sources, cultivated soils are the most<br />
important, contributing 50 to 70% of the anthropogenic total<br />
(see Chapter 5, Table 5-3). This source of N2O is particularly<br />
uncertain as the emission level is a complex function of soil<br />
type, soil humidity, species grown, amount and type of<br />
fertilizer applied, etc. The second largest anthropogenic source<br />
of N2O is industry; two processes account for the bulk of<br />
industrial emissions - nitric acid (HNO3) and adipic acid<br />
production. In both cases N2O is released with the off-gases<br />
from the production facilities. Recently, N2O release from<br />
animal manure was identified as another significant source of<br />
N,0 emissions.<br />
N^O emissions from agricultural soils occur through the<br />
nitrification and denitrification of nitrogen in soils, particularly<br />
that from mineral or organic fertilizers. <strong>Emissions</strong> are very<br />
dependent on local management practices, fertilizer types, and<br />
climatic and soil conditions, and are calculated by multiplying<br />
Although the different references are consistent in their<br />
findings about future global fertilizer use, the question arises<br />
whether these are at all reasonable guesses. Some researchers<br />
assume that fertilizer use will increase even more. For<br />
example, Kendall and Pimentel (1994) in their "business-asusual"<br />
scenario assume a 300% increase in the use of nitrogen<br />
and other fertilizers by 2050. Moreover, most studies of future<br />
worid food production assume improvements in crop yield.<br />
These yield improvements may imply higher overall rates of<br />
fertilizer use because many high-yielding crop varieties depend<br />
on large amounts of fertilizer.<br />
However, some authors question whether global average<br />
fertilizer use will grow. For example. Brown and Kane (1995)<br />
note that world fertilizer use has actually fallen in recent years<br />
and Kroeze (1993) assumes that per capita N2O emissions from<br />
fertilizer consumption decrease by 50% in 2100 relative to 1990<br />
tlnough policies that promote the more efficient use of synthetic<br />
fertilizers. Future fertilizer use may also be lower than in the<br />
"business-as-usual" scenarios because farmers have other<br />
incentives to reduce nitrogen fertilizer use, such as to reduce<br />
farming costs and avoid nitrate contamination of groundwater.<br />
This brief review of the literature on prognoses of fertilizer use<br />
indicates that the N^O emission scenarios depicted in Figure 3-<br />
16 do not take into account the full range of views about future<br />
trends in fertilizer use. Additional uncertainty in future<br />
emissions occurs because changes in the number of livestock,<br />
as discussed above for CH^ emissions, and animal husbandry<br />
practices will also affect N2O emissions.<br />
3.5.6. Findings Regarding Driving Forces<br />
Herein, some of the many specific factors that affect scenarios<br />
of land-use emissions have been discussed. From a correlation<br />
analysis that compared the influence of changing population,<br />
economic activity, and technological change on land-use<br />
emission scenarios, Alcamo and Swart (1998) concluded that<br />
population was the most influential driving force. The reason is<br />
the relationship between population and increasing food<br />
demand, which leads to more cows that produce CH^ and more<br />
extensive fertilized croplands that release N^O. Although most