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Please use this identifier to cite or link to this item: http://purl.umn.edu/19910

Title: POLICIES TO REDUCE FOREST FRAGMENTATION: COMBINING ECONOMETRIC MODELS WITH GIS-BASED LANDSCAPE SIMULATIONS
Authors: Lewis, David J.
Plantinga, Andrew J.
Authors (Email): Lewis, David J. (lewisda@onid.orst.edu)
Plantinga, Andrew J. (plantinga@orst.edu)
Issue Date: 2004
Series/Report no.: Selected Paper
Abstract: Forest 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.
URI: http://purl.umn.edu/19910
Institution/Association: American Agricultural Economics Association>2004 Annual meeting, August 1-4, Denver, CO
Total Pages: 29
Language: English
Collections:2004 Annual meeting, August 1-4, Denver, CO

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