Your browser doesn't support javascript.
loading
Listening to animal behavior to understand changing ecosystems.
Oestreich, William K; Oliver, Ruth Y; Chapman, Melissa S; Go, Madeline C; McKenna, Megan F.
Afiliación
  • Oestreich WK; Monterey Bay Aquarium Research Institute, Moss Landing, CA, USA. Electronic address: woestreich@mbari.org.
  • Oliver RY; Bren School of Environmental Science and Management, University of California Santa Barbara, Santa Barbara, CA, USA.
  • Chapman MS; National Center for Ecological Analysis and Synthesis, University of California Santa Barbara, Santa Barbara, CA, USA.
  • Go MC; Monterey Bay Aquarium Research Institute, Moss Landing, CA, USA.
  • McKenna MF; Cooperative Institute for Research in Environmental Sciences, University of Colorado, Boulder, CO, USA.
Trends Ecol Evol ; 39(10): 961-973, 2024 Oct.
Article en En | MEDLINE | ID: mdl-38972787
ABSTRACT
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.
Asunto(s)
Palabras clave

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Conducta Animal / Ecosistema Límite: Animals Idioma: En Revista: Trends Ecol Evol Año: 2024 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Conducta Animal / Ecosistema Límite: Animals Idioma: En Revista: Trends Ecol Evol Año: 2024 Tipo del documento: Article