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Estimating animal population density using passive acoustics
Open accessAbstract
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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“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”
From Listening forward: emerging roles of bioacoustics in ecology, evolution, and conservation (2026) · cites this paper as Marques et al. 2013
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Cites
A generalization of sampling without replacement from a finite universe
Horvitz, D. G., & Thompson, D. J. (1952) · Journal of the American Statistical Association · doi:10.1080/01621459.1952.10483446 · Cited by 4,293
Randomization, Bootstrap and Monte Carlo Methods in Biology
Manly, B. F. J. (2018) · Chapman & Hall/CRC eBooks · doi:10.1201/9781315273075 · Cited by 4,209
Introduction to Distance Sampling
Buckland, S. T., Anderson, D. R., Burnham, K. P., Laake, J. L., Borchers, D. L., & Thomas, L. (2001) · doi:10.1093/oso/9780198506492.001.0001 · Cited by 3,073
Self-citationA Generalization of Sampling Without Replacement From a Finite Universe
Horvitz, D. G., & Thompson, D. J. (1952) · Journal of the American Statistical Association · doi:10.2307/2280784 · Cited by 3,011
Analysis and Management of Animal Populations
Grand, J. B., Williams, B. K., Nichols, J. D., & Conroy, M. J. (2003) · Journal of Wildlife Management · doi:10.2307/3802722 · Cited by 2,671
Introduction to Distance Sampling: Estimating Abundance of Biological Populations
Buckland, S. T., Anderson, D., Burnham, K. P., Laake, J. L., Borchers, D. L., & Thomas, L. (2001) · Cited by 2,557
Self-citationN ‐Mixture Models for Estimating Population Size from Spatially Replicated Counts
Royle, J. A. (2004) · Biometrics · doi:10.1111/j.0006-341x.2004.00142.x · Cited by 1,550
ESTIMATING ABUNDANCE FROM REPEATED PRESENCE–ABSENCE DATA OR POINT COUNTS
Royle, J. A., & Nichols, J. D. (2003) · Ecology · doi:10.1890/0012-9658(2003)084[0777:eafrpa]2.0.co;2 · Cited by 1,364
Randomization, Bootstrap and Monte Carlo Methods in Biology
Robinson, A. P. (2007) · Journal of the Royal Statistical Society Series A (Statistics in Society) · doi:10.1111/j.1467-985x.2007.00485_5.x · Cited by 1,020
A digital acoustic recording tag for measuring the response of wild marine mammals to sound
Johnson, M. P., & Tyack, P. L. (2003) · IEEE Journal of Oceanic Engineering · doi:10.1109/joe.2002.808212 · Cited by 913
Self-citation
Flagged first, then by citations
Research works printed but not linked: 11
- Bingham G., 2011, Status and Applications of Acoustic Mitigation and Monitoring Systems for Marine Mammals
- Cato D., 2006, Proceedings of ACOUSTICS 2006, 453
- Clark C. W., 1995, Application of U.S. Navy underwater hydrophone arrays for scientific research on whales, Report of the International Whaling Commission, 44, 210
- Fristrup K. M., 1997, Combining visual and acoustic survey data to enhance density estimation, Report of the International Whaling Commission, 47, 933
- Hiby A. R., 1986, Analysis of cue‐counting and blow rate estimation experiments carried out during the 1984/85 IDCR minke whale assessment cruise, Report of the International Whaling Commission, 36, 473
- IUCN, 2003, Guidelines for Application of IUCN Red List Criteria at Regional Levels: Version 3.0
- Mann D. A., 2010, Fish Bioacoustics, 279
- McDonald M. A., 2004, DIFAR hydrophones applied to whale research, Canadian Acoustics, 32, 155
- Mellinger D. K.&Barlow J. P.(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.
- Wentz G. M., 1964, Marine Bio‐Acoustics, 101
- Willcox S., 2009, The Wave Glider, an energy harvesting autonomous surface vessel, Sea Technology, 49, 29
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Metadata
- 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.
- ORCID
- 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
- PMC
- PMC3743169
- 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
- bronze
- doi.org
- 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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