Document of bibliographic reference 349851

BibliographicReference record

Type
Bibliographic resource
Type of document
Journal article
BibLvlCode
AS
Title
Sounding the call for a global library of underwater biological sounds
Abstract
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.
WebOfScience code
https://www.webofscience.com/wos/woscc/full-record/WOS:000760587900001
Bibliographic citation
Parsons, M.J.G.; Lin, T.-H.; Mooney, T. A.; Erbe, C.; Juanes, F.; Lammers, M.; Li, S.; Linke, S.; Looby, A.; Nedelec, S.L.; van Opzeeland, I.; Radford, C.; Rice, A.N.; Sayigh, L.; Stanley, J.; Urban, E.; Di Iorio, L. (2022). Sounding the call for a global library of underwater biological sounds. Front. Ecol. Evol. 10: 810156. https://dx.doi.org/10.3389/fevo.2022.810156
Topic
Marine
Is peer reviewed
true
Access rights
open access
Is accessible for free
true

Authors

author
Name
Miles Parsons
author
Name
Tzu-Hao Lin
author
Name
T.Aran Mooney
author
Name
Christine Erbe
author
Name
Francis Juanes
author
Name
Marc Lammers
author
Name
Songhai Li
author
Name
Simon Linke
author
Name
Audrey Looby
author
Name
Sophie Nedelec
author
Name
Ilse van Opzeeland
author
Name
Craig Radford
author
Name
Aaron Rice
author
Name
Laela Sayigh
author
Name
Jenni Stanley
author
Name
Edward Urban
author
Name
Lucia Di Iorio

Links

referenced creativework
type
DOI
accessURL
https://dx.doi.org/10.3389/fevo.2022.810156

thesaurus terms

term
Artificial intelligence (term code: 565 - defined in term set: ASFA Thesaurus List)
Biodiversity (term code: 9471 - defined in term set: ASFA Thesaurus List)

Document metadata

date created
2022-02-21
date modified
2022-04-08