Listening to animal behavior to understand changing ecosystems.

behavioral ecology bioacoustics biologging global change passive acoustic monitoring

Journal

Trends in ecology & evolution
ISSN: 1872-8383
Titre abrégé: Trends Ecol Evol
Pays: England
ID NLM: 8805125

Informations de publication

Date de publication:
06 Jul 2024
Historique:
received: 26 02 2024
revised: 11 06 2024
accepted: 14 06 2024
medline: 8 7 2024
pubmed: 8 7 2024
entrez: 7 7 2024
Statut: aheadofprint

Résumé

Interpreting sound gives powerful insight into the health of ecosystems. Beyond detecting the presence of wildlife, bioacoustic signals can reveal their behavior. However, behavioral bioacoustic information is underused because identifying the function and context of animals' sounds remains challenging. A growing acoustic toolbox is allowing researchers to begin decoding bioacoustic signals by linking individual and population-level sensing. Yet, studies integrating acoustic tools for behavioral insight across levels of biological organization remain scarce. We aim to catalyze the emerging field of behavioral bioacoustics by synthesizing recent successes and rising analytical, logistical, and ethical challenges. Because behavior typically represents animals' first response to environmental change, we posit that behavioral bioacoustics will provide theoretical and applied insights into animals' adaptations to global change.

Identifiants

pubmed: 38972787
pii: S0169-5347(24)00145-9
doi: 10.1016/j.tree.2024.06.007
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024 The Author(s). Published by Elsevier Ltd.. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of interests No interests are declared.

Auteurs

William K Oestreich (WK)

Monterey Bay Aquarium Research Institute, Moss Landing, CA, USA. Electronic address: woestreich@mbari.org.

Ruth Y Oliver (RY)

Bren School of Environmental Science and Management, University of California Santa Barbara, Santa Barbara, CA, USA.

Melissa S Chapman (MS)

National Center for Ecological Analysis and Synthesis, University of California Santa Barbara, Santa Barbara, CA, USA.

Madeline Go (M)

Monterey Bay Aquarium Research Institute, Moss Landing, CA, USA.

Megan F McKenna (MF)

Cooperative Institute for Research in Environmental Sciences, University of Colorado, Boulder, CO, USA.

Classifications MeSH