Cited by 746Marine animal studies overviewCensus and Population EstimationWildlife Ecology and Conservation

Estimating animal population density using passive acoustics

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Marques, Tiago A., Thomas, Len, Martin, Stephen W., Mellinger, David K., Ward, Jessica A., Moretti, David J., Harris, Danielle, Tyack, Peter L.·2013·Biological Reviews

Abstract

Reliable estimation of the size or density of wild animal populations is very important for effective wildlife management, conservation and ecology. Currently, the most widely used methods for obtaining such estimates involve either sighting animals from transect lines or some form of capture‐recapture on marked or uniquely identifiable individuals. However, many species are difficult to sight, and cannot be easily marked or recaptured. Some of these species produce readily identifiable sounds, providing an opportunity to use passive acoustic data to estimate animal density. In addition, even for species for which other visually based methods are feasible, passive acoustic methods offer the potential for greater detection ranges in some environments (e.g. underwater or in dense forest), and hence potentially better precision. Automated data collection means that surveys can take place at times and in places where it would be too expensive or dangerous to send human observers. Here, we present an overview of animal density estimation using passive acoustic data, a relatively new and fast‐developing field. We review the types of data and methodological approaches currently available to researchers and we provide a framework for acoustics‐based density estimation, illustrated with examples from real‐world case studies. We mention moving sensor platforms (e.g. towed acoustics), but then focus on methods involving sensors at fixed locations, particularly hydrophones to survey marine mammals, as acoustic‐based density estimation research to date has been concentrated in this area. Primary among these are methods based on distance sampling and spatially explicit capture‐recapture. The methods are also applicable to other aquatic and terrestrial sound‐producing taxa. We conclude that, despite being in its infancy, density estimation based on passive acoustic data likely will become an important method for surveying a number of diverse taxa, such as sea mammals, fish, birds, amphibians, and insects, especially in situations where inferences are required over long periods of time. There is considerable work ahead, with several potentially fruitful research areas, including the development of (i) hardware and software for data acquisition, (ii) efficient, calibrated, automated detection and classification systems, and (iii) statistical approaches optimized for this application. Further, survey design will need to be developed, and research is needed on the acoustic behaviour of target species. Fundamental research on vocalization rates and group sizes, and the relation between these and other factors such as season or behaviour state, is critical. Evaluation of the methods under known density scenarios will be important for empirically validating the approaches presented here.

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  • Recordings from individual sensors provide limited information about the distance or number of callers, so translating detections into reliable estimates of abundance or spatial distribution often requires additional sensor arrays or modelling approaches.

    “Finally, recordings from individual sensors provide limited information about the distance or number of callers, meaning that translating detections into reliable estimates of abundance or spatial distribution often requires additional sensor arrays or modelling approaches”

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Research works printed but not linked: 5

  1. Borchers DL Buckland ST Zucchini W Estimating Animal Abundance 2002 New York Springer
  2. Buckland ST Anderson DR Burnham KP Laake JL Borchers D Thomas L Advanced Distance Sampling 2004 Oxford Oxford University Press
  3. Cato D McCauley R Rogers T Noad M McMinn T Passive acoustics for monitoring marine mammals – progress and challenges Proceedings of ACOUSTICS 2006 2006 Auckland Australian and New Zealand Acoustical Societies 453 460
  4. IUCN Guidelines for Application of IUCN Red List Criteria at Regional Levels: Version 3.0 2003 Gland and Cambridge IUCN Species Survival Commission, IUCN
  5. Mellinger DK Barlow JP 2003 Future directions for acoustic marine mammal surveys: stock assessment and habitat use. Report of a Workshop held in La Jolla, CA, 20– 22 November 2002. NOAA OAR Special Report NOAA/PMEL Contribution No. 2557. NOAA/PMEL, Seattle

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Authors
Marques, T. A., Thomas, L., Martin, S. W., Mellinger, D. K., Ward, J. A., Moretti, D. J., Harris, D., & Tyack, P. L.
Affiliations
  • University of Lisbon (PT)
  • University of St Andrews (GB)
  • Naval Information Warfare Center Pacific (US)
  • National Oceanic and Atmospheric Administration (US)
  • Naval Undersea Warfare Center (US)
Corresponding author
Marques, Tiago A.
Venue
Biological Reviews
Publisher
Wiley
Published
2012-11-29
Volume
88
Issue
2
Pages
287-309
ISSN
  • 0006-3231 (ISSN-L)
  • 1464-7931
  • 1469-185X
OpenAlex
W1587644769
Cited by
746
References
163
Citations by year
2026: 56 · 2025: 60 · 2024: 72 · 2023: 69 · 2022: 63 · 2021: 59 · 2020: 56 · 2019: 54 · 2018: 94 · 2017: 49 · 2016: 42 · 2015: 27 · 2014: 22 · 2013: 19 · 2012: 1
FWCI
2.44
Type
journal article
Language
en
Open access
Locations
  • Biological reviews/Biological reviews of the Cambridge Philosophical Society (publishedVersion)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • WBI Studies Repository (submittedVersion)
  • St Andrews Research Repository (St Andrews Research Repository) (submittedVersion, other-oa)
Funders
Natural Environment Research Council (SMRU 10001, NE/J020176/1)
Topics
  • Physical Sciences › Environmental Science › Ecology › Marine animal studies overview
  • Physical Sciences › Mathematics › Statistics and Probability › Census and Population Estimation
  • Physical Sciences › Environmental Science › Ecology › Wildlife Ecology and Conservation
Keywords
animal density estimation, passive acoustic monitoring, acoustic surveys, distance sampling, spatial capture-recapture, hydrophone, marine mammals, vocalization rate, group size, survey design, wildlife management
MeSH terms
Acoustics, Animals, Conservation of Natural Resources, Data Collection, Models, Biological, Population Density, Ecosystem

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