POLICIES TO REDUCE FOREST FRAGMENTATION: COMBINING ECONOMETRIC MODELS WITH GIS-BASED LANDSCAPE SIMULATIONS

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dc.creatorLewis, David J.
dc.creatorPlantinga, Andrew J.
dc.date2017-04-01T20:18:18Z
dc.date.accessioned2026-07-09T03:29:28Z
dc.descriptionForest fragmentation is a primary threat to terrestrial biodiversity. We combine a parcel-level econometric model of land-use transitions with spatially-explicit landscape simulations to predict the empirical distribution of fragmentation outcomes under given market conditions and policy scenarios. Our model explains transitions between forest, agricultural, and urban uses, allowing us to model land use change in both rural and urban areas. A Monte Carlo simulation approach links econometrically-derived transition probabilities to GIS maps for the prediction of the spatial properties of habitat change.
dc.identifierdoi:10.22004/ag.econ.19910
dc.identifierhttps://ageconsearch.umn.edu/record/19910/files/sp04le01.pdf
dc.identifierhttp://ageconsearch.umn.edu/record/19910
dc.identifier.urihttp://hdl.handle.net/123456789/533440
dc.languageeng
dc.publisher
dc.sourcehttp://ageconsearch.umn.edu/record/19910
dc.titlePOLICIES TO REDUCE FOREST FRAGMENTATION: COMBINING ECONOMETRIC MODELS WITH GIS-BASED LANDSCAPE SIMULATIONS
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