Social big data informs spatially explicit management options for national parks with high tourism pressures

Abstract

Nature-based tourism in protected areas is an easily experienced ecosystem service that humans enjoy, but it acts as tourism pressures on ecosystem. Some park managers, however, lack an understanding of the spatial distribution and ecological impact of these pressures. We analyzed the size and spatial distribution of these pressures in Korean national parks, using visitor statistics and social big data. In addition, by overlay it with endangered species distribution data, we analyzed areas where tourism pressures and ecologically significant areas could be conflicted. The tourism pressure differed according to the individual protected areas' characteristics. Due to the unevenness of the magnitude and spatial distribution of pressures, the ecological impacts could be spatially differentiated. This study suggests that tourism pressure may be a decisive factor affecting protected areas' ecosystems with increased visitors. Using social big data, managers can establish spatially explicit management policies that consider tourism pressures on individual protected areas.