MOCHA: Multi-Study Ocean Acoustics Human Effects Analysis

Abstract

The long-term goal is to substantially enhance our quantitative understanding of the response of marine mammals to navy sonar and other acoustic stimuli, by maximizing the information gain from Behavioural Response Studies (BRSs). We aim to develop and implement innovative methods for the analysis of BRS data, and to complement and enhance analyses already taking place as part of each current Navy-funded BRS project. We aim for synergies by looking at the studies in combination. The overall objective of this project is to develop and implement innovative statistical methodologies for the analysis of behavioral response study data. Our focus is on studies estimating the response to mid-frequency active sonar, but the methods developed will be widely applicable. We aim to maximize the inferences that can be drawn from current and ongoing studies as well as to provide advice on future studies. Advances will be made in close collaboration with those involved in existing BRS projects, using a working group format. This approach enables us to complement and enhance the analytical work already being undertaken, as well as to be flexible and incorporate new ideas as they arise in working group sessions. The project has four specific objectives: 1. Improve methods for combining diverse behavioral measures into metrics of behavioral response. Consideration will be given to obtaining metrics that can be linked to biological consequences. 2. Improve methods for estimating dose-response functions for individual studies. This involves both developing and applying cutting-edge statistical methods, as well as considering which contextual variables in addition to acoustic dose can be incorporated into the analysis. The output will be improved estimates of response curves (with uncertainty) for each study. 3. Combine information across studies and species ( meta-analysis ), making use of expert biological opinion, to make predictions about taxa and contexts not yet studied.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2013
Accession Number
ADA602569

Entities

People

  • Catriona M Harris
  • Len Thomas

Organizations

  • University of St Andrews

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Acoustics
  • Active Sonar
  • Cape Hatteras
  • Data Processing
  • Geographic Regions
  • Hidden Markov Models
  • Mammals
  • Marine Mammals
  • Markov Models
  • Models
  • Monitoring
  • Odontocetes
  • Probability
  • Sonar
  • Whales
  • Workshops

Readers

  • Computational Modeling and Simulation
  • Marine Mammal Biology
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference