Abstract

AYMA ROMAY, Ariel Isaías. Vulnerability of the forest in the Cotacajes’s Yungas to deforestation (Northwest from Cochabamba, Bolivia). RevActaNova. [online]. 2014, vol.6, n.3, pp.251-267. ISSN 1683-0789.

Take decisions to define vulnerable forest areas to deforestation need an analysis of multiple criteria to be objective. This study applied the Hierarchical Analytic Process method integrated in a geographic information system to estimate the deforestation vulnerability across of a lineal model with weight on variables. Thus, I could help to take decisions for the conservation of native forest in the north of the Independencia municipality (Cochabamba, Bolivia). I considered in the model constrain and facilitate criteria biophysics and anthropogenic for the deforestation. Inside the biophysics were slop, altitude and distance from forest to source of water for irrigate and inside the anthropogenics were the distance from forest to communities, distance from ways to forest, and quantity of families inside each community. In the building model the antropic criteria has more weight than the criteria biophysics. Inside the antropic factors the variable with more weight was quantity of families per community; on the other hand, inside bio-physic factors the variables more weights were the slop and altitude. The area has 19,675 hectares of native forest. A great portion of the forest (18,810 hectares) has less that 60% of vulnerability (categories of very low, low and moderate), 797 hectares has high vulnerability and 67 hectares very high vulnerability. The map elaborated shows the zones and communities where take actions to avoid the deforestation is necessary. I recommended apply this tool to take decisions objectively and define what areas should have more financial resource to avoid the deforestation, since the most of the decisions are take intuitively for unknown of methods.

Keywords : Cloud forest; dry forest; conservation; deforestation; GIS.

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