Changing land-use trends
By far the largest source of anthropogenic carbon dioxide emission in Brazil
is deforestation, principally in Amazonia. The carbon stock of the seasonal and
rainforest vegetation in Amazonia is estimated to range from 140 to 200 TC/ha;
that of pasture is 10 TC/ha; and of cropland, 5 TC/ha. The forest carbon stock
may be adjusted as new information becomes available on subsurface biomass of
the vegetation. Changing land use also reduces soil carbon content. In pasture
soil, for example, the carbon content may be about 10 per cent of the
approximately 100 TC/hectare of forest soil, or about 90 TC/ha. less than in
forests. (Houghton et al 1991).
Thus, assuming a deforestation rate in Amazonia of 1.8 million hectares per
year, gross CO2 emissions would be 250-360 MTC (though not all
appears immediately in the atmosphere). To this figure should be added emissions
from deforestation in other regions of Brazil. Unfortunately, we have no
estimates for this source. Although substantially smaller, these are not
insignificant.
Biological processes also continually accumulate carbon from the atmosphere,
as is the case with regrowth of natural vegetation on deforested areas,
abandoned land, or forest plantations. The rate of natural regrowth can vary by
a factor of twenty in humid tropical areas depending on the local land-use
situation (Nepstad et al 1990). The scale of this countervailing sequestration
is poorly understood.
Despite these uncertainties, it is clear that Brazil's annual emissions from
deforestation (250-360 MTC) dwarf those of fossil fuel use (60 MTC) as well as
from biomass use for energy (about 11 MTC). This fact is consistent with the
observation that fuelwood use is not a major factor in overall deforestation,
though it may be significant in some regions (for example, charcoal from cerrado
and mangroves). The primary direct causes of deforestation are clearing for
pasture and cropland, with logging often opening up the occupation process.
Focusing on Amazonia, any substantial decrease in the rate of deforestation
is likely to be associated with decreased economic growth. Macroeconomic
modelling suggests that for every 1 per cent reduction in deforestation regional
GDP would have to fall by roughly 1.7 per cent (Reds 1991). While pessimistic,
the model suggests a first approximation of the cost of CO2 abatement
by halting deforestation, roughly US$4/TC according to the model's author. This
low cost (equivalent to a tax of $0.50/barrel of oil) is probably an upper
limit, since the model assumes historical relationships. A strategy to change
these relationships should be both cheaper and allow a less drastic trade-off
between economic growth and deforestation. Such a strategy must go beyond police
enforcement or reducing/eliminating legal and financial incentives to
deforestation, though these are important (for example, Binswanger 1991). New or
modified economic activities must be developed or strengthened both in forested
and deforested areas (Sawyer 1990) based on land-use zoning. Settlement and
economic activity, for example, should be stabilized, consolidated, and (in many
areas) intensified in the largely deforested areas along the frontier and the
'pre-frontier'. While complex, restructuring Amazonia's economy is likely to be
a large, 'no regress' source of CO2 abatement.
The relationship between land-use trends and energy policy has been little
explored in Brazil. The most important such interaction is fuelwood for industry
and charcoal. This nexus is the most important direct energy-related source of
deforestation. A key issue is whether a decisive move to put these uses on a
sustainable basis is justified or whether they should be phased out.
Another important land-use issue in relation to energy arises from
hydroelectricity development in Amazonia. The relative priority, rate of
development, and ultimate potential may all be influenced by a strategy to
minimize deforestation. The infrastructure and migrations occasioned by hydro
are the key concern. Some projects may provoke deforestation. Others help to
decrease it as, for example, on the Tocantins river (Moreira et al 1990). This
indirect effect on carbon emissions is likely to be larger than differences in
direct electricity CO2 emissions resulting from alternative scenarios
of hydropower/thermal generations (as discussed above).
Two subsidiary issues also connect land-use and energy policy issues. The
unavailability of electrical power to isolated communities (most especially in
Amazonia) constrains economic development. Poverty, in turn, fosters more
carbon-emitting and intensive resource exploitation (Poole et al 1990).
Relatedly, fuels such as diesel sold for use in Amazonia are subsidized (Reds
1991). The common denominator of CO2 emissions reinforces the need to
consider energy, land use and regional development
together.