AudioMoth: Evaluation of a smart open acoustic device for monitoring biodiversity and the environment
AudioMoth: Evaluation of a smart open acoustic device for monitoring biodiversity and the environment
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DOI：
10.1111/2041-210x.12955
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发表时间：
2018-05-01
影响因子：
6.6
通讯作者：
Rogers, Alex
中科院分区：
文献类型：
--
作者：
Hill, Andrew P.;Prince, Peter;Rogers, Alex
1.现有野生动物监测设备的成本、可用性和功率效率目前阻碍了对许多自然系统的全面地面覆盖。过去十年来，技术、开放科学和共享经济的发展有望使全球获得更通用、更实惠的监测工具，以提高保护研究人员和管理人员的覆盖率。在这里，我们描述了一种低成本，小尺寸和低能量的声学探测器的开发和概念验证：“AudioMoth。“该设备是开源和可编程的，具有多种应用程序，用于记录动物的叫声或人类活动，采样率高达384 kHz。我们简要概述了两个正在进行的大规模，长期监测生物多样性和自然资源开发的现实世界的案例研究。这些研究表明，AudioMoth有可能实现从单个设备被动连续记录的重大转变，转向通过淹没大型和不可访问的生态系统的设备网络进行智能检测。案例研究展示了AudioMoth的智能功能之一，即根据识别特定声学事件的分类算法触发事件记录。一种触发新森林蝉（Cicadetta montana）记录的算法表明，AudioMoth有可能极大地提高神秘动物存在调查的空间和时间覆盖率。记录枪击事件的算法有可能在热带雨林中识别距离高达500米的猎枪爆炸，并连续记录1公里。AudioMoth比目前可用的被动声学监测设备更节能，使其在现场使用更小的电池时具有更大的便携性和寿命。AudioMoth每台的建造成本约为43美元，在大规模、长期的声学调查中具有各种应用的潜力。随着智能、节能算法的不断发展和组件成本的不断降低，我们正在接近当地社区能够远程监控自己的自然资源的里程碑。
1. The cost, usability and power efficiency of available wildlife monitoring equipment currently inhibits full ground-level coverage of many natural systems. Developments over the last decade in technology, open science, and the sharing economy promise to bring global access to more versatile and more affordable monitoring tools, to improve coverage for conservation researchers and managers.2. Here we describe the development and proof-of-concept of a low-cost, small-sized and low-energy acoustic detector: "AudioMoth." The device is open-source and programmable, with diverse applications for recording animal calls or human activity at sample rates of up to 384 kHz. We briefly outline two ongoing real-world case studies of large-scale, long-term monitoring for biodiversity and exploitation of natural resources. These studies demonstrate the potential for AudioMoth to enable a substantial shift away from passive continuous recording by individual devices, towards smart detection by networks of devices flooding large and inaccessible ecosystems.3. The case studies demonstrate one of the smart capabilities of AudioMoth, to trigger event logging on the basis of classification algorithms that identify specific acoustic events. An algorithm to trigger recordings of the New Forest cicada (Cicadetta montana) demonstrates the potential for AudioMoth to vastly improve the spatial and temporal coverage of surveys for the presence of cryptic animals. An algorithm for logging gunshot events has potential to identify a shotgun blast in tropical rainforest at distances of up to 500 m, extending to 1 km with continuous recording.4. AudioMoth is more energy efficient than currently available passive acoustic monitoring devices, giving it considerably greater portability and longevity in the field with smaller batteries. At a build cost of similar to US$43 per unit, AudioMoth has potential for varied applications in large-scale, long-term acoustic surveys. With continuing developments in smart, energy-efficient algorithms and diminishing component costs, we are approaching the milestone of local communities being able to afford to remotely monitor their own natural resources.