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Spatial and Temporal Dynamics and Value of Nature-Based Recreation Estimated via Social Media

机译:通过社交媒体估算的自然娱乐的时空动态和价值

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摘要

Conserved lands provide multiple ecosystem services, including opportunities for nature-based recreation. Managing this service requires understanding the landscape attributes underpinning its provision, and how changes in land management affect its contribution to human wellbeing over time. However, evidence from both spatially explicit and temporally dynamic analyses is scarce, often due to data limitations. In this study, we investigated nature-based recreation within conserved lands in Vermont, USA. We used geotagged photographs uploaded to the photo-sharing website Flickr to quantify visits by in-state and out-of-state visitors, and we multiplied visits by mean trip expenditures to show that conserved lands contributed US $1.8 billion (US $0.18–20.2 at 95% confidence) to Vermont’s tourism industry between 2007 and 2014. We found eight landscape attributes explained the pattern of visits to conserved lands; visits were higher in larger conserved lands, with less forest cover, greater trail density and more opportunities for snow sports. Some of these attributes differed from those found in other locations, but all aligned with our understanding of recreation in Vermont. We also found that using temporally static models to inform conservation decisions may have perverse outcomes for nature-based recreation. For example, static models suggest conserved land with less forest cover receive more visits, but temporally dynamic models suggest clearing forests decreases, rather than increases, visits to these sites. Our results illustrate the importance of understanding both the spatial and temporal dynamics of ecosystem services for conservation decision-making.
机译:保护区提供多种生态系统服务,包括基于自然的休闲机会。管理这项服务需要了解支撑其提供服务的景观属性,以及随着时间的流逝土地管理的变化如何影响其对人类福祉的贡献。但是,通常由于数据限制,缺乏在空间显式分析和时间动态分析中的证据。在这项研究中,我们调查了美国佛蒙特州自然保护区内基于自然的娱乐活动。我们使用上传到照片共享网站Flickr的带有地理标签的照片来量化州内和州外游客的访问,并将访问次数乘以平均旅行支出,以显示保护区贡献了18亿美元(0.18–20.2美元,在2007年至2014年间对佛蒙特州的旅游业充满信心(95%的信心)。我们发现八个景观属性可以解释保护区游览的模式;在较大的自然保护区中,探访次数更高,森林覆盖率更低,步道密度更大,并且有更多的雪上运动机会。这些属性中的某些属性与其他位置的属性有所不同,但都与我们对佛蒙特州休闲娱乐的理解保持一致。我们还发现,使用时间静态模型来告知保护决策可能会对基于自然的娱乐产生不良影响。例如,静态模型表明森林覆盖率较低的保护地获得了更多的造访,但时间动态模型表明,砍伐森林对这些地点的造访减少而不是增加。我们的结果说明了了解生态系统服务的时空动态对于保护决策的重要性。

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