Can you hear me now? Range‐testing a submerged passive acoustic receiver array in a Caribbean coral reef habitat

Selby, Thomas H.; Hart, Kristen M.; Fujisaki, Ikuko; Smith, Brian J.; Pollock, Clayton G.; Hillis‐Starr, Zandy; Lundgren, Ian; Oli, Madan K.

doi:10.1002/ece3.2228

Cited by 60 publications

(76 citation statements)

References 39 publications

(93 reference statements)

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“…For example, in this study, we work with an approximate receiver detection range of 250 m (radius), suggesting that a co-occurrence can be recorded between individuals up to approximately 500 m apart. We noted earlier that the effective detection range can be highly variable and is not always fully accounted for in many studies [29,50], suggesting further refinement of network weightings is needed as these methods develop. The current methodology proposed in this paper remains unvalidated and fine-scale, contact network data, such as that obtained from proximity loggers, are much needed to confirm the accuracy with which these techniques truly capture social associations in marine organisms [2,51].…”

Section: Discussionmentioning

confidence: 99%

Inferring animal social networks and leadership: applications for passive monitoring arrays

Jacoby

Papastamatiou

Freeman

2016

J. R. Soc. Interface.

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Analyses of animal social networks have frequently benefited from techniques derived from other disciplines. Recently, machine learning algorithms have been adopted to infer social associations from time-series data gathered using remote, telemetry systems situated at provisioning sites. We adapt and modify existing inference methods to reveal the underlying social structure of wide-ranging marine predators moving through spatial arrays of passive acoustic receivers. From six months of tracking data for grey reef sharks (Carcharhinus amblyrhynchos) at Palmyra atoll in the Pacific Ocean, we demonstrate that some individuals emerge as leaders within the population and that this behavioural coordination is predicted by both sex and the duration of co-occurrences between conspecifics. In doing so, we provide the first evidence of long-term, spatially extensive social processes in wild sharks. To achieve these results, we interrogate simulated and real tracking data with the explicit purpose of drawing attention to the key considerations in the use and interpretation of inference methods and their impact on resultant social structure. We provide a modified translation of the GMMEvents method for R, including new analyses quantifying the directionality and duration of social events with the aim of encouraging the careful use of these methods more widely in less tractable social animal systems but where passive telemetry is already widespread.

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Section: Discussionmentioning

confidence: 99%

Inferring animal social networks and leadership: applications for passive monitoring arrays

Jacoby

Papastamatiou

Freeman

2016

J. R. Soc. Interface.

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“…Thus, extensive range tests should be performed. The results of such range tests can be used to improve the setup and the design of the receiver arrays and/or to adapt the questions that can be answered (Hobday & Pincock, 2011;Kessel et al, 2014;Stocks et al, 2014;Hayden et al, 2016;Selby et al, 2016;Steckenreuter et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Environmental factors influence the detection probability in acoustic telemetry in a marine environment: results from a new setup

et al. 2018

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Acoustic telemetry is a commonly applied method to investigate the ecology of marine animals and provides a scientific basis for management and conservation. Crucial insight in animal behaviour and ecosystem functioning and dynamics is gained through acoustic receiver networks that are established in many different environments around the globe. The main limitation to this technique is the ability of the receivers to detect the signals from tagged animals present in the nearby area. To interpret acoustic data correctly, understanding influencing factors on the detection probability is critical. Therefore, range test studies are an essential part of acoustic telemetry research. Here, we investigated whether specific environmental factors (i.e. wind, currents, waves, background noise, receiver tilt and azimuth) influence the receiver detection probability for a permanent acoustic receiver network in Belgium. Noise and wind speed in relation to distance, the interaction of receiver tilt and azimuth and current speed were the most influential variables affecting the detection probability in this environment. The study indicated that there is high detection probability up to a distance of circa 200 m. A new setup, making use of features that render valuable information for data analysis and interpretation, was tested and revealed general applicability.

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“…This framework has two direct applications. First, it can lead to improved inferences about source locations (“localization”) which is important in many applications, especially acoustic telemetry (Selby et al., ) and density estimation (Efford et al., ). Second, it allows investigators to better understand how bioacoustic methods work under field conditions in heterogeneous environments by enabling in situ inference about factors that influence attenuation from field data.…”

Section: Discussionmentioning

confidence: 99%

“…For example, Selby et al. () model attenuation as a function of source and sensor specific covariates (e.g. depth).…”

Section: Introductionmentioning

confidence: 99%

Modelling sound attenuation in heterogeneous environments for improved bioacoustic sampling of wildlife populations

Royle¹

2018

Methods Ecol Evol

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Acoustic sampling methods are becoming increasingly important in biological monitoring. Sound attenuation is one of the most important dynamics affecting the utility of acoustic data as it directly affects the probability of detection of individuals by acoustic sensor arrays and especially the localization of acoustic signals necessary in telemetry studies. Therefore, models of sound attenuation are necessary to make efficient use of acoustic data in ecological monitoring and assessment applications. Models of attenuation in widespread use are based on Euclidean distance between source and sensor, which is justified under spherical attenuation of sound waves in homogeneous environments. In this paper, I develop a model of sound attenuation based on a non‐Euclidean cost‐weighted distance metric which contains attenuation coefficients that characterize the attenuation of sound due to environmental heterogeneity in the vicinity of an acoustic sensor array. I show that parameters of the proposed attenuation model can be estimated by maximum likelihood using experimental data from an array of fixed sources, thus allowing investigators who use bioacoustic methods to devise explicit models of sound attenuation in situ and apply them to localization of sources and density estimation. In addition, drawing on analogy with spatial capture–recapture models, I argue that parameters of the non‐Euclidean model of attenuation can be estimated when source locations are unknown. Thus, the models can be applied to real field studies which require estimation of attenuation parameters or localization of signals. Models of heterogeneous sound attenuation allow more accurate descriptions of acoustic monitoring data, and therefore should produce more accurate estimates of ecological parameters of interest, including source locations, density, and movement trajectories. Moreover, the ability to test specific hypotheses about the effects of habitat and landscape structure on sound attenuation can improve the design of acoustic monitoring arrays and lead to more efficient deployment of acoustic sensing technology.

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Can you hear me now? Range‐testing a submerged passive acoustic receiver array in a Caribbean coral reef habitat

Cited by 60 publications

References 39 publications

Inferring animal social networks and leadership: applications for passive monitoring arrays

Inferring animal social networks and leadership: applications for passive monitoring arrays

Environmental factors influence the detection probability in acoustic telemetry in a marine environment: results from a new setup

Modelling sound attenuation in heterogeneous environments for improved bioacoustic sampling of wildlife populations

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