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Evaluating forest management practices using a GIS-based cellular automata modeling approach with multispectral imagery
Authors:Christopher Bone  Suzana Dragićević  Arthur Roberts
Affiliation:(1) Department of Geography, Simon Fraser University, 8888 University Drive, Burnaby, BC, Canada, V5A 1S6
Abstract:The objective of this study was to develop an integrated geographic information system (GIS) cellular automata (CA) model for simulating insect-induced tree mortality patterns in order to evaluate the influence of different forest management activities to control insect outbreaks. High-resolution multispectral images were used to determine susceptibility of trees to attack, whereas the GIS-based CA model simulated the effectiveness of clear-cuts and thinning practices for reducing insect-induced tree mortality. The results indicate that thinning susceptible forests should be more effective than clear-cutting for reducing tree loss to insect outbreaks. This study demonstrates the benefits of an integrated approach for understanding and evaluating forest management activities and expresses the need for spatial analysis and modeling for improving forest management practices.
Keywords:cellular automata (CA)  geographic information systems (GIS)  remote sensing (RS)  spatial modeling  forest management  forest insect outbreaks  mountain pine beetle
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