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Automated acoustic tracking of aquatic animals: scales, design and deployment of listening station arrays

Open access
Heupel, M. R., Semmens, J. M., Hobday, A. J.·2006·Marine and Freshwater Research

Abstract

The recent introduction of low-cost, moored data-logging acoustic receivers has provided opportunities for tracking marine organisms over small (hundreds of metres) and large scales (hundreds of kilometres). Acoustic receivers have been deployed in many different environments to examine specific hypotheses regarding the movement of aquatic species. This technology provides many advantages for studying aquatic animal movement patterns, but also has limitations and provides unique difficulties for users. Study design, applications, advantages and limitations are discussed with examples from past and current studies. Data management and analysis techniques are in their infancy and few standardised techniques exist. Complications with data management and potential data analysis techniques are discussed. Examples from the literature are utilised wherever possible to provide useful references.

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Metadata

Authors
Heupel, M. R., Semmens, J. M., & Hobday, A. J.
Venue
Marine and Freshwater Research
Published
2006-01-17
Volume
57
Issue
1
Pages
1-13
ISSN
  • 1323-1650 (ISSN-L)
  • 1448-6059
OpenAlex
W2109240323
Cited by
625
References
0
FWCI
15.21
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Automated acoustic tracking of aquatic animals: scales, design and deployment of listening station arrays. https://app.cochat.ai/papers/10.1071/mf05091
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Heupel, M. R., Semmens, J. M., & Hobday, A. J. (2006). Automated acoustic tracking of aquatic animals: scales, design and deployment of listening station arrays. Marine and Freshwater Research. https://doi.org/10.1071/mf05091

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.