Sounding the Call for a Global Library of Underwater Biological Sounds-猫眼课题宝

DOI：

10.3389/fevo.2022.810156

发表时间：

2022-02

期刊：

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其他

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作者：

Miles J. G. Parsons;Tzu‐Hao Lin;T. Mooney;C. Erbe;F. Juanes;M. Lammers;Songhai Li;S. Linke;Audrey Looby;S. Nedelec;Ilse C. Van Opzeeland;C. Radford;A. Rice;L. Sayigh;J. Stanley;E. Urban;L. Di Iorio

水生环境涵盖了世界上最广泛的栖息地，充满了各种动物发出的声音。被动声监测(PAM)是一种日益普及的遥感技术，它使用水听器来监听水下世界，是一种前所未有的、非侵入性的水下环境监测方法。这些信息可以通过检测产生声音的物种或从当地声景的声学特性推断出生态系统类型和条件的特征，帮助划定具有生物重要性的区域。在全球生物多样性显著下降，水下声景因人为影响而改变的时候，有必要记录、量化和了解生物声源--可能在它们消失之前。朝着这些目标迈出的重要一步是开发一个基于网络的开放获取平台，它提供：(1)已知和未知生物声源的参考库(通过整合和扩大世界各地现有的库)；(2)单一来源和声音场景的带注释和未注释的音频记录的数据库门户网站；(3)用于信号检测和分类的人工智能算法培训平台；以及(4)面向公众用户的以公民科学为基础的应用程序。虽然这些资源往往个别地在区域和分类群范围内得到满足，但许多资源并不是持续的，总体来说，一个具有综合平台的持久的全球数据库尚未实现。我们讨论了这样的计划可以提供的好处，以前对全球数据共享和参考库的呼吁，以及需要克服的挑战，以将生物和生态声学家、生物信息学家、传播专家、网络工程师和信号处理专家(例如，人工智能)聚集在一起，提供必要的支持和资金，以建立一个可持续和可扩展的平台，以满足所有贡献者和利益相关者未来的需求。

Aquatic environments encompass the world’s most extensive habitats, rich with sounds produced by a diversity of animals. Passive acoustic monitoring (PAM) is an increasingly accessible remote sensing technology that uses hydrophones to listen to the underwater world and represents an unprecedented, non-invasive method to monitor underwater environments. This information can assist in the delineation of biologically important areas via detection of sound-producing species or characterization of ecosystem type and condition, inferred from the acoustic properties of the local soundscape. At a time when worldwide biodiversity is in significant decline and underwater soundscapes are being altered as a result of anthropogenic impacts, there is a need to document, quantify, and understand biotic sound sources–potentially before they disappear. A significant step toward these goals is the development of a web-based, open-access platform that provides: (1) a reference library of known and unknown biological sound sources (by integrating and expanding existing libraries around the world); (2) a data repository portal for annotated and unannotated audio recordings of single sources and of soundscapes; (3) a training platform for artificial intelligence algorithms for signal detection and classification; and (4) a citizen science-based application for public users. Although individually, these resources are often met on regional and taxa-specific scales, many are not sustained and, collectively, an enduring global database with an integrated platform has not been realized. We discuss the benefits such a program can provide, previous calls for global data-sharing and reference libraries, and the challenges that need to be overcome to bring together bio- and ecoacousticians, bioinformaticians, propagation experts, web engineers, and signal processing specialists (e.g., artificial intelligence) with the necessary support and funding to build a sustainable and scalable platform that could address the needs of all contributors and stakeholders into the future.

Sounding the Call for a Global Library of Underwater Biological Sounds

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