Open Access

Baffling telemetry detections can be useful: an acoustic receiver design to monitor organisms along reserve boundaries and ecotones

Animal Biotelemetry20164:2

DOI: 10.1186/s40317-015-0095-y

Received: 29 September 2015

Accepted: 21 December 2015

Published: 11 January 2016



Many biotelemetry studies seek to detect movement of organisms across reserve boundaries or between adjacent habitat areas. Our objective was to enhance this capability in studies of aquatic organisms that are tagged with acoustic transmitters and tracked by passive data loggers. We installed an experimental shroud on a commercially available telemetry receiver. The shroud was designed to baffle incoming signals from transmitters along one hemisphere of the receiver and therefore more conclusively determine which side of a boundary line that a tagged organism occupies.


Range testing of shroud effectiveness was conducted along the border of a marine-protected area in a coral reef ecosystem. A transmitter of the type implanted into reef fish was deployed in various directions, distances, and landscape settings relative to 11 shrouded receivers. There was a significant difference in the detectability of transmissions on the shrouded versus unshrouded side of the receivers. On the unshrouded hemisphere of the receiver, 75–100 % of transmissions within 100 m were detected and maximum effective detection range was ~180 m. On the shrouded hemisphere of the receiver, detections were rare at any distance with a maximum of 12 % of transmissions recorded even as close as 60 m away.


The shroud modified the detection area of a standard omni-directional receiver into a hemi-directional receiver better able to detect transboundary presence. The approach is useful for applications that require detection of simple boundary-crossing events using a minimal number of receivers.


Array Boundary crossing Fish movement Marine-protected area Tracking


A key question in marine-protected area (MPA) design and performance is estimating the frequency and duration of fish movement across borders [1]. The tendency of fishermen to “fish the line” just outside MPA boundaries necessitates a detailed understanding of the spatial movements of fish relative to MPA borders [2]. There are a range of acoustic telemetry approaches now being utilized to address this question, each with their particular suite of strengths and limitations. Active tracking of fish implanted with acoustic transmitters using a directional hydrophone offers precise positioning and avoids the need for a costly array of many acoustic receivers, but of course requires presence of researchers and boats to acquire each position (e.g., [3]). Arrays of multiple acoustic receivers and data loggers deployed in grid or gate formations with non-overlapping detection ranges offer relatively automated monitoring but yield only approximate positions based on receiver range [4]. Moderate densities of three or more acoustic receivers deployed with overlapping detection ranges can be used to estimate approximate position or activity centers based on the detection rate of relatively stationary transmitters heard at multiple receivers using linear [5] and sigmoid [6] relationships between detection rate and transmission distance. High densities of time-synchronized receivers have also been used along with time of arrival data from transmitters to calculate position within 1–5 m [79]. However, all the techniques capable of discriminating fine-scale boundary crossing require close spacing of three or more receivers to ensure overlap in the detection range, and in these systems, transmitter position can only be calculated in the area of overlap. This number of receivers increases hardware costs, deployment, maintenance and recovery logistics, as well as computational requirements. The estimated positions provide a wealth of habitat utilization information that may be extraneous to simply detect positions relative to linear boundaries associated with MPAs.

We sought to identify a technique that would sensitively identify presence/absence along one side of a boundary but eliminate the need for extensive arrays of closely spaced hydrophones and complex data processing required by approaches presently available. Experiments were conducted to convert standard omni-directional acoustic receivers into hemi-directional receivers that could only detect fish presence in a specified hemisphere on one side of a receiver. We installed an experimental acoustic shroud over the hydrophone of a commercially available acoustic data logger to test whether it would enable more detailed quantification of boundary-crossing events of tagged fish.


Study area

The experimental system was tested in a natural ecosystem rather than in a highly controlled environment in order to evaluate its real-world potential. The St. John, US Virgin Islands (USVI) study area consists of many small, mangrove-lined bays with scattered patch reefs. At this latitude in the Caribbean (18.3 N, 64.7 W) the trade winds blow consistently from east to west. The Virgin Islands coral reef national Monument (VICRNM) is a no-take MPA that bisects portions of Coral Bay and Round Bay and was the focus of this evaluation [10]. The water column is well mixed. Wave energy and tidal or other currents are always minimal throughout the area. Biotic sounds experience small peaks around dawn and dusk but are uniform at other times [11]. These uniform water characteristics are not believed to be a major source of spatial or temporal variability on transmitter detections [4, 6, 12, 13].

Hemi-directional receivers

Eleven acoustic receivers were deployed along the VICRNM boundary. All were between 17 and 24 m depth except the northwestern receiver which was at 6 m. We used the commercially available VR2W model receiver from VEMCO, Amirix Systems Inc. during these experiments. This battery powered hydrophone and data logger is an automated system that has been deployed in a wide diversity of telemetry studies worldwide. The ability of the standard VR2W omni-directional receivers to detect fish movements across the boundary of the Monument was modified by attaching a directional acoustic shroud onto the hydrophone of the receivers. This modification was inspired by prior studies suggesting that materials including mooring equipment near the hydrophone transducer can block acoustic signals [14, VEMCO pers. comm.]. The shroud was constructed from a 15.25-cm diameter (6 inch), solid PVC foam float of the type commonly used in boating and fishing applications. The air-filled foam of the shroud theoretically provided a barrier to acoustic pings from transmitters. The PVC float was cut lengthwise in half to make two shrouds. Each half was partially hollowed out to fit snugly around the top of a VR2W such that the actual transducer on the top of the VR2W would seat into the existing rope channel of the PVC float (Fig. 1). Shrouds had slots drilled through them to enable tight attachment onto the hydrophone using zip ties through the existing pry bar holes in the VR2W housing. In this arrangement, the shroud theoretically blocks incoming pings from one hemisphere around the receiver but allows normal detection of pings from the open side. As a result an omni-directional receiver is converted into a hemi-directional receiver. The mooring system therefore must maintain the orientation of the shroud along the axis of interest, in this case parallel to the Monument boundary.
Fig. 1

Design of the acoustic shroud from: a whole PVC float, b float cut in half and then hollowed out to fit over the top of the VR2W, c side view of shroud mounted on VR2W shown in black, and d facing view

The mooring system maintained receivers in a vertical orientation and more importantly, prevented rotation of the shroud off the axis of the Monument boundary to ensure monitoring of signals from the desired direction [14]. This was accomplished by installing two sand screws ~ 1.5 m apart along the Monument boundary, and securing them to the sides of the shrouded receiver such that it maintained its directional orientation (Fig. 2). Once installed, divers twisted and pulled on the assembly to confirm that the floats would quickly return the system to its desired orientation. It should be noted that this mooring was effective in our low-wave energy and minimal current environment but a fixed or rigid design may be needed elsewhere. All shrouds were observed to be intact and in place when receivers were retrieved for download at the end of the study. Two unmodified, omni-directional receivers were deployed at two of the hemi-directional receiver sites as controls but unfortunately both of these experienced component failures, did not record data, and will not be discussed further.
Fig. 2

Diagram of the directional mooring system to maintain receiver orientation along the Monument boundary

Testing detection range and direction

Sensitivity of receivers to detect transmitter signals along the VICRNM boundary was determined by deploying a range-test transmitter in a diversity of locations around the modified receivers throughout the study area. In this analysis, a range-test transmitter (for VEMCO V7-4L transmitters) with a ~15 s transmission interval was deployed ~0.5 m off the bottom for a minimum of 10 min at each range-test site. This distance off the bottom simulated the near-benthic position typical of the reef fish in the area. This transmitter was deployed repeatedly in various directions, distances, and landscape settings relative to each receiver (Fig. 3).
Fig. 3

Coral Bay and Round Bay study area, St. John USVI

Distance to range-test site and detection rate (the percentage of transmissions actually detected out of the transmissions emitted at each range-test site) were plotted for those range-test sites on the shrouded versus unshrouded sides of the receiver for comparison. A detection rate of 50 % was recently suggested by the manufacturer for identifying a reliable tag detection range [15] although researchers typically customize acceptable cut-offs [16]. Detection range is defined here as the shape of the curve relating detection rate and distance between receiver and tag [16]. Maximum effective detection range is defined as the distance where detection rate fell below 20 %. It was not possible, nor was it necessary to generate individual range-test curves for each receiver since all distances were not tested at all sites and these receivers were deployed in relatively consistent environmental settings.

A compass plot was used to evaluate detection performance relative to the shrouded versus unshrouded hemispheres of the receiver. For this, both the distance and angle of the range-test transmitter relative to the shroud was depicted. Angles were standardized in the compass plot such that the shroud theoretically blocked detections from the south. Note that the actual angles of shroud deployment at each receiver varied to be aligned with Monument boundaries (Fig. 3).

Statistical analysis

Probability of detection was modeled with a quasibinomial generalized linear model with a logit link function and where the response data were the numbers of detected and undetected pings from each range-test site. This model offers an advantage over a simpler unweighted logistic regression in that it naturally accounts for any differences in deployment time at each range-test site. Samples of longer duration have more influence on model fit. Independent variables were distance (continuous) and shrouded versus unshrouded side of the receiver (factor). The fitted model was used to predict the probability of detection within a circle whose radius equaled the maximum distance in the data. Statistical analyses were performed in R (R Development Core Team,


All test sites (6/6) within ~100 m of the receiver on the unshrouded hemisphere experienced good or excellent detection (75–100 % of possible detections) and 9 out of 13 test sites within ~200 m of the unshrouded direction had at least a few transmissions detected (Fig. 4). In rare cases, detection strength was good beyond ~200 m away in this direction. Detection rate dropped below 50 % at ~125 m, fell below 20 % at ~180 m, and reached zero at all sites beyond ~230 m. These patterns were consistent with the 150–300 m detection ranges observed for omni-directional receivers that were deployed elsewhere in our study region based on similar sized [pers. obs.] or slightly larger transmitters [17, 18]. The shape of this pattern matches the typical sigmoid or logistic shape seen in similar assessments [6, 12].
Fig. 4

Points represent the proportion of possible transmissions detected as a function of distance from the receiver to the unshrouded (n = 34) versus shrouded (n = 28) hemispheres of hemi-directional receivers. Curves denote the modeled probability of detection

In contrast, detection rates were much lower in the hemisphere on the shrouded side of the receiver (Fig. 4). Dramatically fewer transmissions were detected in the direction blocked by the shroud such that the manufacturer-recommended detection rate of 50 % was never achieved and only 4 out of 17 test sites within ~200 m detected any transmissions in that direction. Transmitters within ~60 m of the receiver were detectable but never at more than a 12 % detection rate and detections beyond this distance were rare.

The plot of distance, detection rate, as well as angle relative to the acoustic shroud revealed the sensitivity of shrouded receivers for detecting position near the Monument boundary (Fig. 5a). The shroud appeared effective at blocking signals along the hemispherical axis of the receivers (standardized along 90° and 270° in Fig. 5a, b). Transmissions emitted just 15° north of this axis were readily detectable, whereas those 15° south of it but at the same distance away from the receiver were generally not detectable.
Fig. 5

ab: Range-test results observed (a) and modeled (b) for hemi-directional receivers. All receiver positions are at the center of these plots and all the compass bearings relative to the shroud [shown in orange in (a)] were standardized such that they were theoretically blocking incoming transmissions from the south [hemisphere with gray slashing in (a)]. a Point locations represent range-test sites according to transmitter distance (m) and direction from the receivers. Range-test sites were then gray scaled by the number of possible transmissions actually detected with darker shades denoting more detections. b Modeled probability of detection

The modeled probability of detection decreased with distance from the receiver (p < 0.0001), and the shrouded and unshrouded hemispheres of the receiver exhibited significantly different probabilities of detection (p < 0.001; Figs. 4 and 5b). The unshrouded side of the receiver showed a rapid drop in the modeled probability of detection from 80 to 20 % between ~75 and ~180 m. Based on model results, the 50 % detection rate occurred at 128 m and a hemispherical maximum detection range of ~180 m (corresponding to 20 % probability of detection) was estimated in the unshrouded direction along the axis of the Monument boundary (Fig. 3).


Tests here suggest that shrouded receivers can be an effective tool for improved edge detection in acoustic telemetry studies. Only transmitters on the unshrouded side of the receiver could be detected reliably at a >50 % detection rate [recommended by VEMCO, 15] or even a much more generous detection rate of 15 %. It is recognized that interpretation of detections and selection of appropriate cut-off values will depend on the particular setting, research questions, and behavior of the organism of interest and may differ from the 20 % threshold estimated here [1, 16]. This will require a customized set of decision rules to be established to determine the probability that an organism is on one side of a boundary or the other (e.g., [1]).

The direction of shroud placement, listening into versus out of an MPA, and other receiver placements will depend on the objectives of a particular study. It may be better to more conclusively detect when fish leave an MPA and are exposed to fishing than knowing that they remain safe in a given protected area. Additional omni-directional receivers could be deployed inside and outside the MPA boundary to provide a more complete understanding of directional movements (Fig. 3). This would also help with interpretation of low detection rates that could either be due to fish being present close by the shrouded side of the hemi-directional receiver or far away but on the unshrouded side. Although it doubles the number of receivers needed, for some applications it may also be useful to place two hemi-directional receivers on a single mooring but facing in opposite directions to determine on which side of a boundary line that an organism is located. The approach is not only useful for MPA boundary evaluation. For example, shrouded receivers can be set along linear habitat boundaries such as hardbottom/softbottom or reef/seagrass interfaces to more conclusively detect which habitat a tagged fish is utilizing. The approach may also be useful in other constrained settings where it is not desirable to detect fish presence throughout the entire circumference of an omni-directional receivers’ detection range. More detailed monitoring of arrival or departure from small landscape features such as artificial reefs, spawning sites, or boat channels may also be enhanced with this technique.

It is important that shrouds be consistently shaped and snug against the transducer. Any deviations in shroud geometry should be well under the wavelength of the transmitters (69 kHz in this case, or ~21.7 cm). This will avoid irregularities in constructive or destructive interference with incoming signals on the unshrouded side of the receiver (VEMCO pers. com.). Depending on the material used to construct the shroud, an acoustically absorbent coating or randomized scattering texture may also be useful to minimize any irregular lobes or nulls in directional sensitivity.

Of course the shroud is not suitable for all applications. The approach doesn’t yield position estimates, it merely provides hemispheric presence/absence for a better estimate of which side of a receiver an organism may be positioned. For detailed location and habitat utilization information, other systems are required [79]. Those existing approaches enable fine-scale tracking of fish position to within a few meters by deploying many receivers in high density with overlapping detection range. However, this reduces spatial coverage of a study since so many receivers must be placed in a confined area, yields much extraneous information (i.e., constant position) for applications where only boundary-crossing data is of interest, and can be cost prohibitive due to computational requirements and the large number and density of receivers that are needed.

Our analyses represent a composite value of performance for 11 receivers in a real landscape. The natural variability in landscape features present in the study area contributed to the variance in our results (Fig. 3). Two range-test sites in the unshrouded NW quadrant of Fig. 5a were within the detection range of receivers (160 and 156 m, respectively) but did not record any transmissions. This side of the shroud was of course identical to the other side that did have detections at similar angles and distances. We therefore looked beyond the shroud, at habitats surrounding each test location for an explanation. One of those test sites lacking detections was the shallowest and most complex reef setting in our study and the other had patch reefs nearby but unfortunately no detailed habitat information is available between the receiver and range-test site to further diagnose potential landscape interference at the second site. Therefore, although we displayed maximum detection range as a single, composite value of ~180 m due to the relatively homogeneous environment in which most receivers were deployed, it should be recognized that detection range on the unshrouded side of individual receivers will certainly vary depending on their particular setting in the landscape [4, 13, 15, 19].

Our experiments were encouraging, that the shroud blocks most signal detection from one hemisphere, but do not replace the need to conduct robust range tests at each receiver site [15, 16]. In addition, use of sentinel tags is also advisable to evaluate the long-term influence of variations in environmental noise on detection rate in most settings. Further tests are also needed to: (1) evaluate shroud performance on tagged fish now that controlled field tests have yielded positive results, (2) test the approach on data loggers available from other manufacturers, and (3) refine and evaluate other shroud materials, coatings, and designs.


Authors’ contributions

MK designed and built the receiver shrouds, analyzed the data, and drafted the manuscript. MM participated in the design and execution of the study and helped to draft the manuscript. AW performed statistical analysis. All authors read and approved the final manuscript.


Several individuals assisted with the deployment, range testing, retrieval, and download of the telemetry equipment including L Siceloff, C Cosgrove, K Roberson, B Schwartz, A Glahn, and M Kent. We thank T Kelley and NPS for boat support. L Siceloff, J Christensen, and research and development staff at VEMCO evaluated an early version of this manuscript and provided suggestions for improvement. Two anonymous peer reviewers provided constructive suggestions which also greatly improved our manuscript. Funding for this project was from NPS and NOS/NCCOS/CCMA. Government contract labor (AW) was provided by CSS-Dynamac, Inc. under NOAA contract EA-133C-14-NC-1384.

Competing interests

The authors declare that they have no competing interests.

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated.

Authors’ Affiliations

NOAA/NOS/NCCOS/CCMA/Biogeography Branch
CSS-Dynamac Inc.


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