Temporal dynamics and spatial scales: Modeling deforestation in the southern Yucatán peninsular region
Source: GeoJournal, Volume 61, Number 4, December 2004 , pp. 353-363(11)
Abstract:Two spatially explicit econometric land use change models are presented, focusing on tropical deforestation caused by agricultural expansion in the southern Yucatán peninsula, Mexico. The two models developed are both based on conceptually similar theoretical models of farmer behavior. However, there are different empirical specifications of this theoretical model according to the scale of the analysis as well as the availability of temporal data on the observation of deforestation. For both models, the unit of observation for the dependent variable of deforestation is the TM pixel from satellite data. However, the socio-economic explanatory variables are derived from different sources. The first econometric model links the satellite data for the entire study region with aggregate census data at the village level. This model is estimated using a discrete choice logit model over a single time period. The second econometric model uses individual household survey data for a small random sample of the region, linked to satellite data for the plots of each household over multiple time periods. This model is estimated using a dynamic hazard model that estimates the risk of a specific pixel converting from forest to agricultural use. Both estimated models are used to predict deforestation and the results of the two modeling approaches are compared.
Document Type: Research Article
Affiliations: 1: Department of Economics and George Perkins Marsh Institute, Clark University, 01610, 950 Main Street, Worcester, MA, USA, 2: Department of Geography, Rutgers University, New Jersey, USA, 3: German Aerospace Center, Institute of Transport Research, Berlin, Germany,
Publication date: December 2004