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Spatial regression analysis of deforestation in Santa Cruz, Bolivia

This paper applies a spatial economic regression model to analyze the relation between deforestation in the period from 1989 to 1994 and access to roads and markets, ecological conditions, land tenure, and zoning policies in Santa Cruz, Bolivia. The data come from a Geographic Information System (GI...

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Main Authors: Kaimowitz, D., Méndez, P., Puntodewo, A., Vanclay, J.K.
Format: Book Chapter
Language:Inglés
Published: University of Florida 2002
Subjects:
roads
spatial analysis
economic analysis
geographical information systems
deforestation
markets
tenure systems
policies
Online Access:https://hdl.handle.net/10568/18101
Summary:This paper applies a spatial economic regression model to analyze the relation between deforestation in the period from 1989 to 1994 and access to roads and markets, ecological conditions, land tenure, and zoning policies in Santa Cruz, Bolivia. The data come from a Geographic Information System (GIS) data base compiled by the Natural Resources Department of the Santa Cruz Government. Locations closer to roads and the City of Santa Cruz and that have more fertile soils have a greater probability of being deforested. The same applies to colonization areas. National parks and forest concessions seem to protect forests. Areas with rainfall levels optimal for soybeans have higher deforestation than drier or wetter areas.

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