Pre-feasibility study for a CDM-AR project in the Cochabamba ...

o Silvopastoral systems can not compete for point 8,9,10 compared with
traditional land use systems.
o Commercial forestry plantations cannot compete with point 1,2,5,8,9,10
compared with traditional land use systems.
At the other hand, technological and financial barriers limit the access of farmers to
either quality seed or the necessary skills for successful commercial timber or
agroforestry plantations; and the barrier due to market risks, of new income streams,
drives farmers to be conservative to maintain a constant income.
Step 3: Demonstrate that forest regeneration will not occur in the absence of
project activities
As described in 3.2 over the course of the past 30 years, the study area has dramatically
changed. Settlers moved into the area to establish small farms, and as a result huge
areas of primary forest were cut to make room for agricultural production. Total forest
area decreased and crop area increased
Livelihood analysis in the area showed that the process of extending the agricultural
frontier will continue. Farmers have a projection towards the extension of the
agricultural frontier and not towards reforestation, although they recognize the
environmental problems, deforestations causes and the benefits which could be obtained
from forestry. Other land uses respond better to the direct socio-economic needs of the
farmers than tree planting activities (Berger, 2006).
However seed sources do exist nearby for natural regeneration, constant agricultural
pressure prevents forest from re-establishing. Land pressure and economic necessity
eliminates the possibility that after the current agricultural cycle, land will be
abandoned rather than re-entering a new cycle. Agroforestry or forestry activities are no
reasonable alternatives without project intervention, since social and financial barriers
are too high.
2.5. Baseline Quantification
Zomer et al (2006), estimated carbon stock, based upon data from sample plots,
literature, and expert knowledge. In combination with the environmental and edaphic
factors, a spatially disaggregated map is derived of carbon baseline stock across the
area.
Zomer et al 2006, modeled the changes in carbon through a land use cycle, such as
annual cropping, or shifting agriculture and the average Carbon stock for each land use
type was predicted (table 3.1).
Prefeasibility report Chapare
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