Accession Number:

ADA616452

Title:

LATTE - Linking Acoustic Tests and Tagging Using Statistical Estimation

Descriptive Note:

Corporate Author:

SAINT ANDREWS UNIV (UNITED KINGDOM)

Personal Author(s):

• Thomas, Len
• Harwood, John
• Boyd, Ian L.
• Moretti, David

Report Date:

2014-09-30

Pagination or Media Count:

9.0

Abstract:

We aim to construct and fit mathematical models of beaked whales diving behavior, and their response to MFA sonar. These models will be parameterized by fitting them simultaneously to three sources of data 1 short-term, high fidelity tagging studies on individual whales some of which comes from animals exposed to acoustic stimuli 2 medium-term satellite tagging studies of individual whales some of which we hope will come from data collected during navy exercises and 3 long-term passive acoustic monitoring from bottom-mounted hydrophones much of which comes from data collected during navy exercises. All data come from the Atlantic Undersea Test and Evaluation Center AUTEC, Bahamas, and the surrounding area. Hence our models and predictions will be directly applicable to animals in that area, although we hope they will be of more general relevance. Outputs of the model are designed to be compatible with risk evaluation and mitigation tools and models developed under other ONR initiatives, such as Effects of Sound on the Marine Environment ESME and Population Consequences of Acoustic Disturbance PCADS.

Descriptors:

• *WHALES
• ACOUSTIC RANGES
• BEHAVIOR
• ESTIMATES
• SONAR
• STATISTICS

Subject Categories:

• Biology

Distribution Statement:

APPROVED FOR PUBLIC RELEASE