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.
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.