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Integrating Entropy Problem and GIS for Studying Landscape Ecology: The Simulation Case of Boundary Determination to Conserve Forest Landscape Ecology in Sa Pa District, Lao Cai Province, Vietnam
Abstract
Information entropy has been widely applied to assess and analyze landscape ecology. Results from previous studies were the indicators only, not able to describe the spatial distribution of the landscape. In this article, the application results of information entropy in the assessment of ecological landscapes in Sa Pa district, one of the highest mountainous area in Vietnam, based on GIS (Geographical Information System) were simulated. GIS technology was used to store information of layers on landscape structure, indicator analysis, and a map-layer assessment. Results of information entropy were simulated by the map evaluation. Results from this work showed the landscape diversity in Sa Pa zone. The Shannon-Weaver diversity index was over 1.5. The connectivity level of natural forests increased 234.21ha; simulation results by GIS were identified two suitable groups of landscapes to protect and develop forest ecology.
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