Acoustic recordings from narrow-band telemetry arrays allow long-term monitoring of the marine ecological state

IF 8.5 2区 环境科学与生态学 Q1 ECOLOGY
Ecological Informatics Pub Date : 2026-08-01 Epub Date: 2026-07-26 DOI:10.1016/j.ecoinf.2026.103954
Yuval Mendelson, Renanel Pickholtz, Moshe Kiflawi, Yossi Yovel, Jonathan Belmaker
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引用次数: 0

Abstract

The use of Passive Acoustic Monitoring (PAM) to monitor marine diversity and ecological health is gaining popularity. However, long-term marine ecoacoustics monitoring remains limited, primarily due to technical challenges associated with data storage limitations and energy sources underwater.
Acoustic telemetry is a widely used tracking technique in which receivers record signals from acoustic tags, typically over long periods of time. While this method is widely used to record animal location and behavior, the receiver's recorded environment sound levels are mostly overlooked.
In this study, we introduce a new PAM method, which we call Telemetry-based PAM, that provides continuous long-term monitoring of the state of marine systems using currently untapped sound levels from acoustic telemetry. We demonstrate strong correlations between sound levels and biophonic sound sources, specifically invertebrate sounds, on a coral reef. We further demonstrate that the spatial and temporal decline and recovery patterns of sound from the receivers on the reef following a major storm closely aligned with parallel information from visual surveys.
As acoustic receiver arrays are already widespread globally, Telemetry-based PAM can provide an easy and affordable monitoring tool for marine environments. Importantly, as recordings are continuous, deployed for long durations, and based on multiple receivers, we can use these recordings to detect small-scale variations in sound levels over space and time, offering an unparalleled fine-grained view of reef dynamics.
窄带遥测阵列的声学记录允许对海洋生态状态进行长期监测
被动声监测(PAM)在海洋生物多样性和生态健康监测中的应用日益普及。然而,长期的海洋生态声学监测仍然有限,主要是由于与数据存储限制和水下能源相关的技术挑战。声波遥测是一种广泛使用的跟踪技术,接收器记录来自声波标签的信号,通常需要很长一段时间。虽然这种方法被广泛用于记录动物的位置和行为,但接收器记录的环境声音水平大多被忽视。在这项研究中,我们引入了一种新的PAM方法,我们称之为基于遥测技术的PAM,该方法利用声学遥测技术目前未开发的声级,提供对海洋系统状态的连续长期监测。我们证明了声音水平和生物声源之间的强烈相关性,特别是无脊椎动物的声音,在珊瑚礁上。我们进一步证明,在大风暴之后,珊瑚礁上的接收器发出的声音的时空下降和恢复模式与视觉调查的平行信息密切相关。随着声波接收器阵列在全球范围内的广泛应用,基于遥测技术的PAM可以为海洋环境提供一种简单而经济的监测工具。重要的是,由于录音是连续的,部署时间很长,并且基于多个接收器,我们可以使用这些录音来检测空间和时间上声级的小规模变化,提供无与伦比的细粒度珊瑚礁动态视图。
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来源期刊
Ecological Informatics
Ecological Informatics 环境科学-生态学
CiteScore
8.30
自引率
11.80%
发文量
346
审稿时长
46 days
期刊介绍: The journal Ecological Informatics is devoted to the publication of high quality, peer-reviewed articles on all aspects of computational ecology, data science and biogeography. The scope of the journal takes into account the data-intensive nature of ecology, the growing capacity of information technology to access, harness and leverage complex data as well as the critical need for informing sustainable management in view of global environmental and climate change. The nature of the journal is interdisciplinary at the crossover between ecology and informatics. It focuses on novel concepts and techniques for image- and genome-based monitoring and interpretation, sensor- and multimedia-based data acquisition, internet-based data archiving and sharing, data assimilation, modelling and prediction of ecological data.
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