Development of New Methods and Software for Distance Sampling Surveys of Cetacean Populations

Abstract

Obtaining reliable estimates of the density and distribution of cetacean species is an essential component of a risk mitigation strategy, as well as having other conservation and management uses. The overall goal of this research program was to develop statistical methods and software that substantially enhances the utility and robustness of current survey methods. To achieve this, four research projects were undertaken, to develop methods for: 1) analysis of towed passive acoustic and combined visual-acoustic surveys; 2) improved modeling of animal distribution from survey data; 3) improved modeling of spatial distribution of group size (for animals that cluster); and 4) more efficient survey designs that utilize information from the above models to direct sampling. Here, we report our findings, list the research outputs and give recommendations for future research directions.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2008
Accession Number
ADA479648

Entities

People

  • David L. Borchers
  • David Peel
  • Douglas Gillespie
  • Eric Rexstad
  • Johnathan Gordari
  • Justin Matthews
  • Len Thomas
  • Mark L. Bravington
  • Sharon L. Hedley
  • Simon N. Wood
  • Stephen T. Buckland

Organizations

  • University of St Andrews

Tags

Communities of Interest

  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Acoustics
  • Animal Distribution
  • Animals
  • Cetaceans
  • Computational Science
  • Counting Methods
  • Data Sets
  • Detection
  • Hidden Markov Models
  • Mammals
  • Marine Mammals
  • Odontocetes
  • Probability
  • Sampling
  • Spatial Distribution
  • Statistical Analysis
  • Wildlife

Readers

  • Computational Modeling and Simulation
  • Marine Mammal Biology
  • Regression Analysis.