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

机译:社会大数据通知国家公园的空间明确的管理选择,具有高旅游压力

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摘要

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.
机译:受保护区的自然旅游是人类享受的一种轻松经历的生态系统服务,但它充当了生态系统的旅游压力。然而,一些公园经理缺乏对这些压力的空间分布和生态影响的理解。我们使用访客统计和社会大数据分析了韩国国家公园这些压力的规模和空间分布。此外,通过覆盖它濒临灭绝的物种分布数据,我们分析了旅游压力和生态显着区域可能发生冲突的地区。旅游压力根据个体保护区的特征不同。由于压力幅度和空间分布的不均匀,生态冲击可能是空间的。本研究表明,旅游压力可能是影响受保护区生态系统的决定性因素,增加了访客。使用社会大数据,管理人员可以建立空间的明确管理政策,以考虑个人受保护区的旅游压力。

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