3.5. Agriculture and Land-Use Emissions
3.5.1. Introduction
The most important categories of land-use emissions are CO2 from net deforestation,
CH4 from rice cultivation, CH4 from enteric fermentation of cattle, and N2O
from fertilizer application. These sources account for nearly all the land-use
emissions of CO2 (Schimel et al., 1995), about 53% of the land-use emissions
of CH4 (Prather, et al., 1995), and about 80% of land-use emissions of
N2O (Prather, et al., 1995). These estimates, however, have a high uncertainty.
Measurements and analyses of other sources of CH4 and N2O (notably biomass burning,
landfills, animal waste, and sewage) are relatively rare, but increasing (Bogner
et al., 1997, in the literature. Of the scenarios reviewed for this report
(see Table 3.7), about 20 address emissions from agriculture
and land-use change (Lashof and Tirpak, 1990; Houghton, 1991; Leggett et
al., 1992; Matsuoka and Morita, 1994; Alcamo et al., 1998; Alcamo
and Kreileman, 1996; Leemans et al., 1996).
Current assessments of GHG emissions indicate that land use or land cover activities
make an important contribution to the concentration of GHGs in the atmosphere3;
these are referred to as "land-use emissions" in this report4.
Of the three most important GHGs, the contribution of land-use emissions to
total global CO2 is relatively small (23%), but it is very large for CH4 (74%)
and N2O. Furthermore, although land-use emissions make up only a small percentage
of global CO2 emissions, they comprise a large part (45%) of CO2 emissions from
developing countries, and an even larger percentage of their total CH4 (78%)
and N2O (76%) emissions (Pepper et al.,1992). Hence, from a variety of
perspectives, the contribution of land-use emissions to total emissions of GHGs
is important, and consequently their future trends are relevant to the estimation
of climate change and its mitigation.
Table 3-7: Overview of scenarios
presented in Section 3.5. |
|
Scenario
Number |
Scenario Identification |
Type(*) |
Reference |
|
1-1 |
IS92a IPCC 1992 |
G R |
Leggett et al. (1992) |
1-2 |
IS92b IPCC 1992 |
G R |
Leggett et al. (1992) |
1-3 |
IS92c IPCC 1992 |
G R |
Leggett et al. (1992) |
1-4 |
IS92d IPCC 1992 |
G R |
Leggett et al. (1992) |
1-5 |
IS92e IPCC 1992 |
G R |
Leggett et al. (1992) |
1-6 |
IS92f IPCC 1992 |
G R |
Leggett et al. (1992) |
1-7 |
IS92 S1 : IPCC 1992 Sensitivity 1
(High Deforestation, High Biomass) |
G R |
Leggett et al. (1992) |
1-8 |
IS92 S4 : IPCC 1992 Sensitivity 4
(Halt Deforestation, High Plantation) |
G R |
Leggett et al. (1992) |
2-1 |
Baseline A IMAGE 2.1 |
G R |
Alcamo, et al. (1996) |
2-2 |
Baseline B IMAGE 2.1 |
G R |
Alcamo, et al. (1996) |
2-3 |
Baseline C IMAGE 2.1 |
G R |
Alcamo, et al. (1996) |
2-4 |
Less B1 Changed Trade |
G R |
Leemans, et al. (1996) |
2-5 |
Less B1 No Biofuels |
G R |
Alcamo and Kreileman (1996) |
2-6 |
Stab 350 All |
G R |
Alcamo and Kreileman (1996) |
3-1 |
AIM, Asian Pacific Integrated Model
Land use emission scenario |
G R |
Matsuoka and Morita (1994) |
7-1 |
EPA-SCW EPA (Slowly Changing World) |
G R |
Lashof and Tirpak (1990) |
7-2 |
EPA-RCW EPA (Rapidly Changing World) |
G R |
Lashof and Tirpak (1990) |
7-3 |
EPA-High Reforestation EPA
(Halt Deforestation, High Reforestation) |
G R |
Lashof and Tirpak (1990) |
8-1 |
H1 Houghton-Population |
G |
Houghton (1991) |
8-2 |
H2 Houghton-Exponential Extrapolation |
G |
Houghton (1991) |
|
* G = global, R = regional. |
|