Pinniped Hearing in Complex Acoustic Environments

Pinnipeds (seals, sea lions, and walruses) are amphibious marine mammals that are susceptible to coastal anthropogenic noise. The long-term goals of this effort are to improve understanding of (1) the sound detection capabilities of several pinniped species, and (2) the effects of noise exposure on...

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Bibliographic Details
Main Author: Reichmuth, Colleen
Other Authors: CALIFORNIA UNIV SANTA CRUZ INST OF MARINE SCIENCES
Format: Text
Language:English
Published: 2013
Subjects:
Anatomy and Physiology
Biological Oceanography
Acoustics
*BACKGROUND NOISE
*HEARING
*PSYCHOACOUSTICS
*SEALS(MAMMALS)
ACOUSTIC DETECTION
AUDIOMETRY
PREDICTIONS
QUIET
RISK ANALYSIS
SIGNAL PROCESSING
COMPLEX ACOUSTIC ENVIRONMENTS
COASTAL ANTHROPOGENIC NOISE
CALIFORNIA SEA LIONS
HARBOR SEALS
NORTHERN ELEPHANT SEALS
QUIET CONDITION
NOISY CONDITIONS
Elephant Seals
walrus*
Online Access:http://www.dtic.mil/docs/citations/ADA602519
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA602519
Description
Summary:Pinnipeds (seals, sea lions, and walruses) are amphibious marine mammals that are susceptible to coastal anthropogenic noise. The long-term goals of this effort are to improve understanding of (1) the sound detection capabilities of several pinniped species, and (2) the effects of noise exposure on the sound detection capabilities of these species. The laboratory and field studies associated with this research will reveal certain aspects of how amphibious mammals receive, perceive, and recognize acoustic information in background noise and will contribute broadly to current knowledge of marine mammal bioacoustics. Improve understanding of hearing in pinnipeds by extending psychoacoustic profiles of sound reception obtained from simplified auditory processing tasks to those describing performance under increasingly complex acoustic conditions. Relate laboratory measurements to concurrent field studies of communication in fluctuating natural noise backgrounds. Strengthen predictive models that describe how signal structure and noise environments interact to constrain auditory performance, and develop weighting functions that can be used for species-typical acoustic risk assessments.

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