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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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”
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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Self-citationChanges in Humpback Whale Song Occurrence in Response to an Acoustic Source 200 km Away
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Self-citationAn acoustic survey of beaked whales at Cross Seamount near Hawaii
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Self-citationA FIELD TEST OF THE ACCURACY OF A PASSIVE ACOUSTIC LOCATION SYSTEM
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Self-citationSperm whale distribution and seasonal density in the Faroe Shetland Channel
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Terrestrial Passive Acoustic Monitoring: Review and Perspectives
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Drones count wildlife more accurately and precisely than humans
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Passive acoustic monitoring provides a fresh perspective on fundamental ecological questions
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Bat detective—Deep learning tools for bat acoustic signal detection
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Acoustic monitoring for conservation in tropical forests: examples from forest elephants
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Quantifying the effect of boat disturbance on bottlenose dolphin foraging activity
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Self-citationAssessing the performance of a semi‐automated acoustic monitoring system for primates
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Bird detection in audio: A survey and a challenge
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Bioacoustic monitoring of animal vocal behavior for conservation
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Eavesdropping at the Speed of Light: Distributed Acoustic Sensing of Baleen Whales in the Arctic
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Passive acoustic monitoring of beaked whale densities in the Gulf of Mexico
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Self-citationConvolutional recurrent neural networks for bird audio detection
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Passive acoustic monitoring of the decline of Mexico's critically endangered vaquita
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Self-citationCryptic species conservation: a review
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SELD-TCN: Sound Event Localization & Detection via Temporal Convolutional Networks
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How does FSC forest certification affect the acoustically active fauna in Madre de Dios, Peru?
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Mysterious bio-duck sound attributed to the Antarctic minke whale ( Balaenoptera bonaerensis )
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Automated Sound Recognition Provides Insights into the Behavioral Ecology of a Tropical Bird
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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.
- 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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