SAFE Acoustics: An open-source, real-time eco-acoustic monitoring network in the tropical rainforests of Borneo
SAFE Acoustics: An open-source, real-time eco-acoustic monitoring network in the tropical rainforests of Borneo
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DOI：
10.1111/2041-210x.13438
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发表时间：
2020-10-01
影响因子：
6.6
通讯作者：
Orme, Christopher David L.
中科院分区：
文献类型：
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作者：
Sethi, Sarab S.;Ewers, Robert M.;Orme, Christopher David L.
自动监测方法提供了一种途径，可以大规模洞察生态系统如何应对人类压力。然而，由于数据收集和数据分析往往是独立处理的，目前还没有端到端、实时生态监测网络的开源示例。在这里，我们展示了部署在婆罗洲热带雨林中的自主声学监测网络的完整实施。实时音频从现场远程上传，由中央数据库索引，并通过 API 传送到面向公众的网站。我们提供监控设备、中央 web2py 数据库和 ReactJS 网站的开源代码和设计。此外，我们还演示了该基础设施的扩展，以提供生态声学数据的实时分析。通过详细介绍功能齐全、开源且经过广泛测试的设计，我们的工作将加快完全自主监控网络从技术好奇心走向真正有影响力的生态工具的成熟速度。
Automated monitoring approaches offer an avenue to unlocking large-scale insight into how ecosystems respond to human pressures. However, since data collection and data analyses are often treated independently, there are currently no open-source examples of end-to-end, real-time ecological monitoring networks. Here, we present the complete implementation of an autonomous acoustic monitoring network deployed in the tropical rainforests of Borneo. Real-time audio is uploaded remotely from the field, indexed by a central database, and delivered via an API to a public-facing website. We provide the open-source code and design of our monitoring devices, the central web2py database, and the ReactJS website. Furthermore, we demonstrate an extension of this infrastructure to deliver real-time analyses of the eco-acoustic data. By detailing a fully functional, open source, and extensively tested design, our work will accelerate the rate at which fully autonomous monitoring networks mature from technological curiosities, and towards genuinely impactful tools in ecology.