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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Autores principales: Kaimowitz, D., Méndez, P., Puntodewo, A., Vanclay, J.K.
Formato: Capítulo de libro
Lenguaje:Inglés
Publicado: University of Florida 2002
Materias:
Acceso en línea:https://hdl.handle.net/10568/18101
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author Kaimowitz, D.
Méndez, P.
Puntodewo, A.
Vanclay, J.K.
author_browse Kaimowitz, D.
Méndez, P.
Puntodewo, A.
Vanclay, J.K.
author_facet Kaimowitz, D.
Méndez, P.
Puntodewo, A.
Vanclay, J.K.
author_sort Kaimowitz, D.
collection Repository of Agricultural Research Outputs (CGSpace)
description 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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spelling CGSpace181012025-01-24T14:11:56Z Spatial regression analysis of deforestation in Santa Cruz, Bolivia Kaimowitz, D. Méndez, P. Puntodewo, A. Vanclay, J.K. roads spatial analysis economic analysis geographical information systems deforestation markets tenure systems policies 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. 2002 2012-06-04T09:06:06Z 2012-06-04T09:06:06Z Book Chapter https://hdl.handle.net/10568/18101 en University of Florida Kaimowitz, D., Mendez, P., Puntodewo, A., Vanclay, J.K. 2002. Spatial regression analysis of deforestation in Santa Cruz, Bolivia . In: Wood, C.H. and Porro, R. (eds.). Land use and deforestation in the Amazon. :41-65. Gainesville, Gainesville, University Press of Florida. University Press of Florida.
spellingShingle roads
spatial analysis
economic analysis
geographical information systems
deforestation
markets
tenure systems
policies
Kaimowitz, D.
Méndez, P.
Puntodewo, A.
Vanclay, J.K.
Spatial regression analysis of deforestation in Santa Cruz, Bolivia
title Spatial regression analysis of deforestation in Santa Cruz, Bolivia
title_full Spatial regression analysis of deforestation in Santa Cruz, Bolivia
title_fullStr Spatial regression analysis of deforestation in Santa Cruz, Bolivia
title_full_unstemmed Spatial regression analysis of deforestation in Santa Cruz, Bolivia
title_short Spatial regression analysis of deforestation in Santa Cruz, Bolivia
title_sort spatial regression analysis of deforestation in santa cruz bolivia
topic roads
spatial analysis
economic analysis
geographical information systems
deforestation
markets
tenure systems
policies
url https://hdl.handle.net/10568/18101
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AT vanclayjk spatialregressionanalysisofdeforestationinsantacruzbolivia