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在社交媒体上应用深度学习来调查全球保护区的文化生态系统服务
Timothy Bing Lun Yee1, L Roman Carrasco2
1Department of Biological Sciences, National University of Singapore, 14 Science Drive 4, Singapore, 117543, Republic of Singapore. timothyybl@u.nus.edu.
Scientific reports
|June 13, 2024
概括
全球保护区 (PAs) 显示出独特的文化生态系统服务 (CES) 模式,根据位置和相互作用类型而有所不同. 国家层面的管理在塑造 PA 内的游客活动方面似乎比生物组类型更有影响力.
科学领域:
- 生态系统服务生态系统服务
- 保护科学 保护科学
- 人与环境的相互作用
背景情况:
- 保护区 (PA) 对于保护至关重要,但其文化生态系统服务 (CES) 的变化性未得到充分研究.
- 了解CES规定对于有效的PA管理和人类福祉至关重要.
研究的目的:
- 调查在PA中提供CES的全球模式.
- 确定影响CES变异性的因素,如生物群类型和国家层面的管理.
主要方法:
- 利用卷积神经网络和层次聚类来分析来自207个国家的2813个PA的87,090张Flickr照片.
- 将CES活动分类为人与自然 (非生物),人与自然 (生物) 和人与人的互动.
- 采用混合效应模型来评估PA生物组类型和国家对CES模式的影响.
主要成果:
- 确定了独特的全球CES活动模式:在山区的人类与自然 (非生物),在赤道地区的人类与自然 (生物),在欧洲的人类与人类.
- 发现同一个国家的PAs通常表现出相似的CES类型,无论物理环境的差异如何.
- 证明国家层面的管理对CES活动的影响比生物群类型更大.
结论:
- 社交媒体数据,如Flickr照片,为了解PA中的访客活动和CES提供了有价值的工具.
- 国家层面的管理策略可能是保护区中CES提供的主要驱动力.
- 未来的研究应该利用大数据进行全面的PA监测和管理.
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