Integrating a participatory process with a GIS-based multi-criteria decision analysis for protected area zoning in China

Current management plans for nature reserves in China are ineffective and do not meet their intended goals of balancing conservation and development. Protected area zoning is an approach that can reduce conflict by partitioning the landscape into various land use units that are managed for different levels of human activity. In this paper, we present a systematic methodology that integrates a participatory process with Geographic Information Systems (GIS) using a multi-criteria decision analysis (MCDA) technique to guide a zoning scheme for the Meili Snow Mountain National Park (MSMNP), Yunnan. A participatory process involving multiple stakeholders and technical experts was used to establish park management objectives: nature conservation; tourism and recreation; and, community development. To meet these three objectives, criteria and impact factors for each objective were identified and weighted through a participatory process, and a GIS fuzzy set membership function was then used to generate gradient effects of each criterion. Three suitability maps of conservation, eco-tourism, and community development were generated. The three suitability maps were overlaid to generate a final combined suitability map, and five management zones (strict protected zone, ecosystem conservation zone, eco-tourism zone or buffer zone, park service zone, and traditional land use zone) were identified and mapped that corresponded to different protection and management strategies. Conservation targets (endangered species, alpine and forest ecosystems) and development zones were spatially segregated across the landscape, and the final zoning scheme was found to be acceptable by the various stakeholders.