Optimising the design of large-scale acoustic telemetry curtainsAndre Steckenreuter A J , Xavier Hoenner B , Charlie Huveneers C , Colin Simpfendorfer D , Marie J. Buscot E , Katherine Tattersall B , Russell Babcock F , Michelle Heupel G , Mark Meekan G , James van den Broek A , Phillip McDowall A , Vic Peddemors H and Robert Harcourt A I
A Integrated Marine Observing System, Animal Tracking Facility, Sydney Institute of Marine Science, Mosman, NSW 2088, Australia.
B Integrated Marine Observing System, eMarine Information Infrastructure, University of Tasmania, Hobart, Tas. 7001, Australia.
C School of Biological Sciences, Flinders University, Bedford Park, Adelaide, SA 5042, Australia.
D Centre for Sustainable Tropical Fisheries and Aquaculture & College of Marine and Environmental Sciences, James Cook University, Townsville, Qld 4811, Australia.
E Menzies Institute for Medical Research, University of Tasmania, Hobart, Tas. 7001, Australia.
F CSIRO, Marine and Atmospheric Research, Brisbane, Qld 4001, Australia.
G Australian Institute of Marine Science, Townsville, Qld 4810, Australia.
H New South Wales Department of Primary Industries, Mosman, NSW 2088, Australia.
I Department of Biological Sciences, Macquarie University, North Ryde, NSW 2109, Australia.
J Corresponding author. Email: email@example.com
Marine and Freshwater Research 68(8) 1403-1413 https://doi.org/10.1071/MF16126
Submitted: 8 April 2016 Accepted: 6 October 2016 Published: 30 November 2016
Broad-scale acoustic telemetry networks are being established worldwide. The 10-year anniversary of the Integrated Marine Observing System’s Animal Tracking Facility provided the opportunity to assess the efficiency of one of the first national-scale acoustic telemetry networks. Acoustic networks are comprised of acoustic receiver arrays that detect high-frequency transmitters attached to animals that pass within detection range. Herein we assessed the efficiency of eight curtains to detect passing animals by calculating the standardised mean number of detections and transmitters detected at each station. The aim was to determine how many receivers could be decommissioned from each curtain while maintaining its integrity (i.e. detection of all species passing the array). Pivotal locations were defined as the furthest station at which all species would still be detected and where at least 75% of the detections and transmitters would still be detected. By applying these criteria, we were able to improve the cost-effectiveness of our network significantly, reducing the number of stations from 132 to 85 (64% of the original network), yet still retaining 84% of total detections, 86% of transmitters and 100% of detected species. The present study provides a useful framework for refining acoustic telemetry networks.
Additional keywords: acoustic network, acoustic tracking, detection efficiency, Integrated Marine Observing System (IMOS), animal tracking, VEMCO.
ReferencesBarnett, A., Abrantes, K. G., Stevens, J. D., and Semmens, J. (2011). Site fidelity and sex-specific migration in a mobile apex predator: implications for conservation and ecosystem dynamics. Animal Behaviour 81, 1039–1048.
| Site fidelity and sex-specific migration in a mobile apex predator: implications for conservation and ecosystem dynamics.CrossRef |
Bruce, B. D., Stevens, J. D., and Malcolm, H. (2006). Movements and swimming behaviour of white sharks (Carcharodon carcharias) in Australian waters. Marine Biology 150, 161–172.
| Movements and swimming behaviour of white sharks (Carcharodon carcharias) in Australian waters.CrossRef |
Burnham, K. P., and Anderson, D. (2002). ‘Model Selection and Multi-model Inference: A Practical Information–Theoretic Approach.’ (Springer-Verlag: New York, NY, USA.)
Chilès, J. P., and Delfiner, P. (1999). ‘Geostatistics: Modeling Spatial Uncertainty.’ (Wiley: New York, NY, USA.)
Comeau, L. A., Campana, S. E., and Castonguay, M. (2002). Automated monitoring of a large-scale cod (Gadus morhua) migration in the open sea. Canadian Journal of Fisheries and Aquatic Sciences 59, 1845–1850.
| Automated monitoring of a large-scale cod (Gadus morhua) migration in the open sea.CrossRef |
Cowley, P., and Murray, T. (2014). South Africa’s Acoustic Tracking Array Platform (ATAP): history, status, challenges and opportunities. In ‘Ocean Tracking Network Symposium 2014’, 3–5 June 2014, Ottawa, ON, Canada. (Ocean Tracking Network.) Available at http://oceantrackingnetwork.org/wp-content/uploads/2014/11/Cowley-Murray-OTN-Symposium-2014-presentation-summary.pdf [Verified 24 October 2016].
Fitzgibbon, Q. P., Seymour, R. S., Ellis, D., and Buchanana, J. (2007). The energetic consequence of specific dynamic action in the southern bluefin tuna Thunnus maccoyii. The Journal of Experimental Biology 210, 290–298.
| The energetic consequence of specific dynamic action in the southern bluefin tuna Thunnus maccoyii.CrossRef | 1:STN:280:DC%2BD2s%2FhsVGgsg%3D%3D&md5=74310d5e423f749c6690fb5e6f253fbaCAS |
Heupel, M., Semmens, J., and Hobday, A. J. (2006). Automated acoustic tracking of aquatic animals: scales, design and deployment of listening station arrays. Marine and Freshwater Research 57, 1–13.
| Automated acoustic tracking of aquatic animals: scales, design and deployment of listening station arrays.CrossRef |
Hobday, A. J. (2003). Nearshore migration of juvenile southern bluefin tuna in southern Western Australia. 15th Recruitment Monitoring Program Workshop, Report RMWS/2003/15. (CSIRO Marine Research: Hobart., Tas., Australia)
Hobday, A. J., and Pincock, D. (2011). Estimating detection probabilities for linear acoustic monitoring arrays. American Fisheries Society Symposium 76, 1–22.
Hussey, N. E., Kessel, S. T., Aarestrup, K., Cooke, S. J., Cowley, P. D., Fisk, A. T., Harcourt, R. G., Holland, K. N., Iverson, S. J., and Kocik, J. F. (2015). Aquatic animal telemetry: a panoramic window into the underwater world. Science 348, 1255642.
| Aquatic animal telemetry: a panoramic window into the underwater world.CrossRef |
Huveneers, C., Simpfendorfer, C., Kim, S., Semmens, J., Hobday, A. J., Pederson, H., Stieglitz, T., Vallee, R., Webber, D., Heupel, M., Peddemors, V., and Harcourt, R. (2016). The influence of environmental parameters on the performance and detection range of acoustic receivers. Methods in Ecology and Evolution 7, 825–835.
| The influence of environmental parameters on the performance and detection range of acoustic receivers.CrossRef |
IMOS (2015). National science and implementation plan 2015–25. University of Tasmania, Hobart.
IMOS (2016). IMOS animal tracking – tag embargo policy. Available at http://imos.org.au/fileadmin/user_upload/shared/AATAMS/IMOS-Animal_Tracking_-_Tag_Embargo_Policy.pdf [Verified 12 July 2016].
Jackson, G. D. (2011). The development of the Pacific Ocean shelf tracking project within the decade long census of marine life. PLoS One 6, e18999.
| The development of the Pacific Ocean shelf tracking project within the decade long census of marine life.CrossRef | 1:CAS:528:DC%2BC3MXls1Kku7g%3D&md5=833411d16b688c88753e553a737653e4CAS |
Jacoby, D. M. P., Brooks, E. J., Croft, D. P., and Sims, D. W. (2012). Developing a deeper understanding of animal movements and spatial dynamics through novel application of network analyses. Methods in Ecology and Evolution 3, 574–583.
| Developing a deeper understanding of animal movements and spatial dynamics through novel application of network analyses.CrossRef |
Lee, K., Huveneers, C. M., McDonald, T. M., and Harcourt, R. G. (2015). Size isn’t everything: movements, home range, and habitat preferences of eastern blue gropers (Achoerodus viridis) demonstrate the efficacy of a small marine reserve. Aquatic Conservation: Marine and Freshwater Ecosystems 25, 174–186.
| Size isn’t everything: movements, home range, and habitat preferences of eastern blue gropers (Achoerodus viridis) demonstrate the efficacy of a small marine reserve.CrossRef |
Matheron, G. (1963). Principles of geostatistics. Economic Geology and the Bulletin of the Society of Economic Geologists 58, 1246–1266.
| Principles of geostatistics.CrossRef | 1:CAS:528:DyaF2cXltFKiug%3D%3D&md5=191fe2d7f21e368399421b443d029094CAS |
Nakagawa, S., and Schielzeth, H. (2013). A general and simple method for obtaining R2 from generalized linear mixed-effects models. Methods in Ecology and Evolution 4, 133–142.
| A general and simple method for obtaining R2 from generalized linear mixed-effects models.CrossRef |
O’Dor, R. K., and Stokesbury, M. J. (2009). The Ocean Tracking Network: adding marine animal movements to the global ocean observing system. In ‘Tagging and Tracking of Marine Animals with Electronic Devices’. (Eds J. L. Nielsen, H. Arrizabalaga, N. Fragoso, A. Hobday, M. Lutcavage and J. Sibert.) pp. 91–100. (Springer: Dordrecht, Netherlands.)
O’Dor, R., Stokesbury, M. J. W., Amiro, P. G., and Halfyard, E. (2008). The Ocean Tracking Network: cutting edge technology on a global scale. Journal of Ocean Technology 3, 23–26.
Pincock, G. (2012). False detections: what they are and how to remove them from detection data. VEMCO Whitepaper Document DOC-004691, v03. Amirix Systems Inc., Halifax, NS, Canada.
Pinheros, J. C., and Bates, D. M. (2000). ‘Mixed-effects Models in S and S-PLUS.’ (Springer-Verlag: New York, NY, USA.)
Sepulveda, C. A., Kohin, S., Chan, C., Vetter, R., and Graham, J. B. (2004). Movement patterns, depth preferences, and stomach temperatures of free-swimming juvenile mako sharks, Isurus oxyrinchus, in the Southern California Bight. Marine Biology 145, 191–199.
| Movement patterns, depth preferences, and stomach temperatures of free-swimming juvenile mako sharks, Isurus oxyrinchus, in the Southern California Bight.CrossRef |
Simpfendorfer, C. A., Huveneers, C., Steckenreuter, A., Tattersall, K., Hoenner, X., Harcourt, R., and Heupel, M. R. (2015). Ghosts in the data: false detections in VEMCO pulse position modulation acoustic telemetry monitoring equipment. Animal Biotelemetry 3, 55–64.
| Ghosts in the data: false detections in VEMCO pulse position modulation acoustic telemetry monitoring equipment.CrossRef |
Sleeman, J. C., Meekan, M. G., Wilson, S. G., Jenner, C. K., Jenner, M. N., Boggs, G. S., Steinberg, C., and Bradshaw, C. J. (2007). Biophysical correlates of relative abundances of marine megafauna at Ningaloo Reef, Western Australia. Marine and Freshwater Research 58, 608–623.
| Biophysical correlates of relative abundances of marine megafauna at Ningaloo Reef, Western Australia.CrossRef |
Steckenreuter, A., Simpfendorfer, C., Tattersall, K., and Hoenner, X. (2015). AATAMS database review and quality control analysis report. IMOS Report, Sydney, NSW, Australia.
Stein, M. L. (1999). ‘Statistical Interpolation of Spatial Data: Some Theory for Kriging.’ (Springer: New York, NY, USA.)
VEMCO (2015a). VEMCO acoustic telemetry: acoustic gate design. Available at https://vemco.com/wp-content/uploads/2012/11/gate_design.htm [Verified 22 October 2015].
VEMCO (2015b). VUE software manual. Using VUE software to view and organize data (version 2.3.0). Available at http://vemco.com/wp-content/uploads/2014/07/vue-manual.pdf [Verified 5 April 2016].
Welch, D. W., Boehlert, G. W., and Ward, B. R. (2002). POST – the Pacific Ocean salmon tracking project [POST, le projet de suivi du saumon du Pacifique]. Oceanologica Acta 25, 243–253.
| POST – the Pacific Ocean salmon tracking project [POST, le projet de suivi du saumon du Pacifique].CrossRef |
Zuur, A. F., Ieno, E. N., Walker, N. J., Saveliev, A. A., and Smith, G. M. (2009). ‘Mixed Effects Models and Extensions in Ecology with R.’ (Springer-Verlag: New York.)
Zuur, A. F., Ieno, E. N., and Elphick, C. S. (2010). A protocol for data exploration to avoid common statistical problems. Methods in Ecology and Evolution 1, 3–14.
| A protocol for data exploration to avoid common statistical problems.CrossRef |