Kessel ST, Cooke SJ, Heupel MR, Hussey NE, Simpfendorfer CA, Vagle S, et al. A review of detection range testing in aquatic passive acoustic telemetry studies. Rev Fish Biol Fish. 2014;24(1):199–218.
Article
Google Scholar
Scherrer SR, Rideout BP, Giorli G, Nosal EM, Weng KC. Depth- and range-dependent variation in the performance of aquatic telemetry systems: understanding and predicting the susceptibility of acoustic tag-receiver pairs to close proximity detection interference. PeerJ. 2018;6: e4249.
Article
PubMed
PubMed Central
Google Scholar
Selby TH, Hart KM, Fujisaki I, Smith BJ, Pollock CJ, Hillis-Starr Z, et al. Can you hear me now? Range-testing a submerged passive acoustic receiver array in a Caribbean coral reef habitat. Ecol Evol. 2016;6(14):4823–35.
Article
PubMed
PubMed Central
Google Scholar
Reubens J, Verhelst P, van der Knaap I, Deneudt K, Moens T, Hernandez F. Environmental factors influence the detection probability in acoustic telemetry in a marine environment: results from a new setup. Hydrobiologia. 2019;845:81–94.
Article
Google Scholar
Huveneers C, Simpfendorfer CA, Kim S, Semmens JM, Hobday AJ, Pederson H, et al. The influence of environmental parameters on the performance and detection range of acoustic receivers. Methods Ecol Evol. 2016;7(7):825–35.
Article
Google Scholar
Winter ER, Hindes AM, Lane S, Britton JR. Detection range and efficiency of acoustic telemetry receivers in a connected wetland system. Hydrobiologia. 2021;848(8):1825–36.
Article
Google Scholar
Kessel ST, Hussey NE, Webber DM, Gruber SH, Young JM, Smale MJ, et al. Close proximity detection interference with acoustic telemetry: the importance of considering tag power output in low ambient noise environments. Anim Biotelemetry. 2015;3(1):5.
Article
Google Scholar
Stott ND, Faust MD, Vandergoot CS, Miner JG. Acoustic telemetry detection probability and location accuracy in a freshwater wetland embayment. Anim Biotelemetry. 2021;9(1):19.
Article
Google Scholar
Dance MA, Moulton DL, Furey NB, Rooker JR. Does transmitter placement or species affect detection efficiency of tagged animals in biotelemetry research? Fish Res. 2016;183:80–5.
Article
Google Scholar
Goossens J, T’Jampens M, Deneudt K, Reubens J. Mooring scientific instruments on the seabed—design, deployment protocol and performance of a recoverable frame for acoustic receivers. Methods Ecol Evol. 2020;11(8):974–9.
Article
Google Scholar
Welsh J, Fox R, Webber D, Bellwood D. Performance of remote acoustic receivers within a coral reef habitat: implications for array design. Coral Reefs. 2012;31:693–702.
Article
Google Scholar
Heupel MR, Reiss KL, Yeiser BG, Simpfendorfer CA. Effects of biofouling on performance of moored data logging acoustic receivers. Limnol Oceanogr Methods. 2008;6(7):327–35.
Article
Google Scholar
Grothues T, Able K, Pravatiner JH. Winter flounder (Pseudopleuronectes americanus Walbaum) burial in estuaries: acoustic telemetry triumph and tribulation. J Exp Mar Biol Ecol. 2012;438:125–36.
Article
Google Scholar
Swadling DS, Knott NA, Rees MJ, Pederson H, Adams KR, Taylor MD, et al. Seagrass canopies and the performance of acoustic telemetry: implications for the interpretation of fish movements. Anim Biotelemetry. 2020;8(1):8.
Article
Google Scholar
Heupel MR, Semmens JM, Hobday AJ. Automated acoustic tracking of aquatic animals: scales, design and deployment of listening station arrays. Mar Freshw Res. 2006;57(1):1–13.
Article
Google Scholar
Whoriskey K, Martins EG, Auger-Méthé M, Gutowsky LFG, Lennox RJ, Cooke SJ, et al. Current and emerging statistical techniques for aquatic telemetry data: a guide to analysing spatially discrete animal detections. Methods Ecol Evol. 2019;10(7):935–48.
Article
Google Scholar
Cimino M, Cassen M, Merrifield S, Terrill E. Detection efficiency of acoustic biotelemetry sensors on Wave Gliders. Animal Biotelemetry. 2018;6(1):16.
Article
Google Scholar
O’Brien MHP, Secor DH. Influence of thermal stratification and storms on acoustic telemetry detection efficiency: a year-long test in the US Southern Mid-Atlantic Bight. Anim Biotelemetry. 2021;9(1):8.
Article
Google Scholar
Doyle TK, Haberlin D, Clohessy J, Bennison A, Jessopp M. Localised residency and inter-annual fidelity to coastal foraging areas may place sea bass at risk to local depletion. Sci Rep. 2017;7(1):45841.
Article
PubMed Central
CAS
Google Scholar
Novak AJ, Becker SL, Finn JT, Danylchuk AJ, Pollock CG, Hillis-Starr Z, et al. Inferring residency and movement patterns of horse-eye jack Caranx latus in relation to a Caribbean marine protected area acoustic telemetry array. Anim Biotelemetry. 2020;8(1):12.
Article
Google Scholar
Ramsden S, Cotton C, Curran M. Using acoustic telemetry to assess patterns in the seasonal residency of the Atlantic stingray Dasyatis sabina. Environ Biol Fish. 2017;100:89–98.
Article
Google Scholar
Melnychuk M. Detection efficiency in telemetry studies: Definitions and evaluation methods. In: Adams N, Beeman J, Eiler J, editors. Telemetry techniques: a user guide for fisheries research. Bethesda: American Fisheries Society Books; 2012. p. 339–57.
Google Scholar
Mathies NH, Ogburn MB, McFall G, Fangman S. Environmental interference factors affecting detection range in acoustic telemetry studies using fixed receiver arrays. Mar Ecol Prog Ser. 2014;495:27–38.
Article
Google Scholar
Brownscombe JW, Lédée EJI, Raby GD, Struthers DP, Gutowsky LFG, Nguyen VM, et al. Conducting and interpreting fish telemetry studies: considerations for researchers and resource managers. Rev Fish Biol Fish. 2019;29(2):369–400.
Article
Google Scholar
Brownscombe JW, Griffin LP, Chapman JM, Morley D, Acosta A, Crossin GT, et al. A practical method to account for variation in detection range in acoustic telemetry arrays to accurately quantify the spatial ecology of aquatic animals. Methods Ecol Evol. 2020;11(1):82–94.
Article
Google Scholar
Klinard NV, Halfyard EA, Matley JK, Fisk AT, Johnson TB. The influence of dynamic environmental interactions on detection efficiency of acoustic transmitters in a large, deep, freshwater lake. Anim Biotelemetry. 2019;7(1):17.
Article
Google Scholar
R Core Team. R: A language and environment for statistical computing. 2021.
Ku H. Notes on the use of propagation of error formulas. J Res Natl Bur Stand. 1966;70C(4):263–73.
Google Scholar
Legrand S, Baetens K. Hydrodynamic forecast for the Belgian Coastal Zone. Physical State of the Sea-Belgian Coastal Zone—COHERENS UKMO: Royal Belgian Institute of Natural Sciences; 2021.
Zuur AF, Ieno EN, Elphick CS. A protocol for data exploration to avoid common statistical problems. Methods Ecol Evol. 2010;1(1):3–14.
Article
Google Scholar
Zuur A, Ieno EN, Walker N, Saveliev AA, Smith GM. Mixed effects models and extensions in ecology with R. New York: Springer; 2009.
Book
Google Scholar
Ellis S, Steyn HS. Practical significance (effect sizes) versus or in combination with statistical significance (p-values). Manag Dyn. 2003;12:51–3.
Google Scholar
Sullivan GM, Feinn R. Using effect size—or why the p value is not enough. J Grad Med Educ. 2012;4(3):279–82.
Article
PubMed
PubMed Central
Google Scholar
Peng C-YJ, Lee KL, Ingersoll GM. An introduction to logistic regression analysis and reporting. J Educ Res. 2002;96(1):3–14.
Article
Google Scholar
Hanley JA, McNeil BJ. The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology. 1982;143(1):29–36.
Article
CAS
PubMed
Google Scholar
Brier GW. Verification of forecasts expressed in terms of probability. Mon Weather Rev. 1950;78(1):1–3.
Article
Google Scholar
Rönkkö M, Aalto E, Tenhunen H, Aguirre-Urreta MI. Eight simple guidelines for improved understanding of transformations and nonlinear effects. Organ Res Methods. 2021;25(1):48–87.
Article
Google Scholar
Mourier J, Bass NC, Guttridge TL, Day J, Brown C. Does detection range matter for inferring social networks in a benthic shark using acoustic telemetry? Roy Soc Open Sci. 2017;4(9): 170485.
Article
Google Scholar
Ellis RD, Flaherty-Walia KE, Collins AB, Bickford JW, Boucek R, Walters Burnsed SL, et al. Acoustic telemetry array evolution: from species- and project-specific designs to large-scale, multispecies, cooperative networks. Fish Res. 2019;209:186–95.
Article
Google Scholar
How JR, de Lestang S. Acoustic tracking: issues affecting design, analysis and interpretation of data from movement studies. Mar Freshw Res. 2012;63(4):312–24.
Article
Google Scholar
Reubens JT, De Rijcke M, Degraer S, Vincx M. Diel variation in feeding and movement patterns of juvenile Atlantic cod at offshore wind farms. J Sea Res. 2014;85:214–21.
Article
Google Scholar
Baktoft H, Zajicek P, Klefoth T, Svendsen JC, Jacobsen L, Pedersen MW, et al. Performance assessment of two whole-lake acoustic positional telemetry systems—is reality mining of free-ranging aquatic animals technologically possible? PLoS ONE. 2015;10(5): e0126534.
Article
PubMed
PubMed Central
CAS
Google Scholar
Loher T, Webster RA, Carlile D. A test of the detection range of acoustic transmitters and receivers deployed in deep waters of Southeast Alaska, USA. Anim Biotelemetry. 2017;5(1):27.
Article
Google Scholar
Zuur AF, Ieno EN, Saveliev AA. Beginner’s guide to spatial, temporal, and spatial-temporal ecological data analysis with R-INLA. In: Zuur AF, editor. Using GLM and GLMM, vol. 1. Newburgh: Highland Statistics Ltd; 2017. p. 362.
Google Scholar
Pedersen MW, Weng KC. Estimating individual animal movement from observation networks. Methods Ecol Evol. 2013;4(10):920–9.
Google Scholar
Auger-Méthé M, Newman K, Cole D, Empacher F, Gryba R, King AA, et al. A guide to state–space modeling of ecological time series. Ecol Monogr. 2021;91(4): e01470.
Article
Google Scholar
Alós J, Palmer M, Balle S, Arlinghaus R. Bayesian state-space modelling of conventional acoustic tracking provides accurate descriptors of home range behavior in a small-bodied coastal fish species. PLoS ONE. 2016;11(4):e0154089-e.
Article
CAS
Google Scholar
Simpfendorfer CA, Heupel MR, Collins AB. Variation in the performance of acoustic receivers and its implication for positioning algorithms in a riverine setting. Can J Fish Aquat Sci. 2008;65(3):482–92.
Article
Google Scholar
Winton MV, Kneebone J, Zemeckis DR, Fay G. A spatial point process model to estimate individual centres of activity from passive acoustic telemetry data. Methods Ecol Evol. 2018;9(11):2262–72.
Article
Google Scholar
Melnychuk M, Walters C. Estimating detection probabilities of tagged fish migrating past fixed receiver stations using only local information. Can J Fish Aquat Sci. 2010;67:641–58.
Article
Google Scholar
van der Knaap I, Slabbekoorn H, Winter HV, Moens T, Reubens J. Evaluating receiver contributions to acoustic positional telemetry: a case study on Atlantic cod around wind turbines in the North Sea. Anim Biotelemetry. 2021;9(1):14.
Article
Google Scholar
Vergeynst J, Baktoft H, Mouton A, De Mulder T, Nopens I, Pauwels I. The influence of system settings on positioning accuracy in acoustic telemetry, using the YAPS algorithm. Anim Biotelemetry. 2020;8(1):25.
Article
Google Scholar
Pedersen MW, Burgess G, Weng KC. A quantitative approach to static sensor network design. Methods Ecol Evol. 2014;5(10):1043–51.
Article
Google Scholar
Kraus RT, Holbrook CM, Vandergoot CS, Stewart TR, Faust MD, Watkinson DA, et al. Evaluation of acoustic telemetry grids for determining aquatic animal movement and survival. Methods Ecol Evol. 2018;9(6):1489–502.
Article
Google Scholar
Kendall MS, Williams BL, Ellis RD, Flaherty-Walia KE, Collins AB, Roberson KW. Measuring and understanding receiver efficiency in your acoustic telemetry array. Fish Res. 2021;234: 105802.
Article
Google Scholar
Goossens J, Buyse J, Reubens J, Ghent University Marine Biology Research Group, Institute for Agricultural and Fisheries Research, Flanders Marine Institute. Detection range assessment Belwind offshore wind farm. Belgium, 2021.