Localization of Acoustically Tagged Marine Animals in Under-Ranked Conditions

Alexandri, Talmon; Zemah-Shamir, Ziv; Bigal, Eyal; Scheinin, Aviad; Tchernov, Dan; Diamant, Roee

doi:10.1109/tmc.2019.2959765

Cited by 11 publications

(7 citation statements)

References 34 publications

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“…Furthermore, as the tag's size determines the detection range, we target our method to the tracking of marine megafauna. This is because for fish or small animals like Lobsters, the detection range of the tags in shallow water/noisy environments is on the order of a few tens of meters (see [10]), whereas for megafauna like sharks on which large tags can be mounted, the detection range is on the order of km [15] even in shallow/noisy water. Since the affect of spatial diversity of the acoustic propagation becomes more dominant at scales of tens of meters, which is for many cases, beyond the detection range of small tags, the method is mostly useful for the larger tags -i.e., for the task of tracking megafauna.…”

Section: B Discussion Of Resultsmentioning

confidence: 99%

“…The mobile node is an acoustic tag (model: ID-HP16) emitting 69kHz single-tone signals of intensity 158dB re 1µPa @ 1m. A range test we performed showed that the detection distance is 1000m in shallow water with a sandy bottom [15].…”

Section: F Numerical Investigation Setupmentioning

confidence: 99%

“…The position of the CP's receivers are marked by aqua-colored squares, and the positions of the PDAD's receivers are marked by red-colored diamonds. In a previous work [15], a range test showed that in the considered environment, the detection range of a similar tag and receiver pair is roughly 1,000 m. Thus, for CP, the distance between the receivers was set to 500m. We note that both CP and PDAD shared receiver number 2.…”

Section: G Sea Experiments Setupmentioning

confidence: 99%

“…However, in the practical case where the seabed is complex and the detection range is not iso-symmetric, a more rigorous way to determine the anchors' deployment location is required. Two examples of the under-utilization of the deployment setup using CP are a testbed setup to track acoustically tagged slipper lobsters, Scyllarides latus, at the Achziv Marine Nature Reserve in northern Israel [10], and a testbed aimed to explore the motion of tagged sandbar sharks, Carcharhinus plumbeus, close to the "Orot Rabin" Power and Desalination Station in Hadera, Israel (32 0 28 N ; 34 0 52 E) [15]. In the former, four receivers were anchored in a triangle according to the CP approach over a rocky seabed, and 19 lobsters were tagged and tracked for a period of 8 months.…”

Section: Introductionmentioning

confidence: 99%

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Design of an Optimal Testbed for Tracking of Tagged Marine Megafauna

Alexandri,

Diamant

2022

Preprint

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Underwater acoustic technologies are a key component for exploring the behavior of marine megafauna such as sea turtles, sharks, and seals. The animals are marked with acoustic devices (tags) that periodically emit signals encoding the device's ID along with sensor data such as depth, temperature, or the dominant acceleration axis -data that is collected by a network of deployed receivers. In this work, we aim to optimize the locations of receivers for best tracking of acoustically tagged marine megafauna. The outcomes of such tracking allows the evaluation of the animals' motion patterns, their hours of activity, and their social interactions. In particular, we focus on how to determine the receivers' deployment positions to maximize the coverage area in which the tagged animals can be tracked. For example, an overly-condensed deployment may not allow accurate tracking, whereas a sparse one, may lead to a small coverage area due to too few detections. We formalize the question of where to best deploy the receivers as a non-convex constraint optimization problem that takes into account the local environment and the specifications of the tags, and offer a sub-optimal, low-complexity solution that can be applied to large testbeds. Numerical investigation for three stimulated sea environments shows that our proposed method is able to increase the localization coverage area by 30%, and results from a test case experiment demonstrate similar performance in a real sea environment. We share the implementation of our work to help researchers set up their own acoustic observatory.

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Section: B Discussion Of Resultsmentioning

confidence: 99%

Section: F Numerical Investigation Setupmentioning

confidence: 99%

Section: G Sea Experiments Setupmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Design of an Optimal Testbed for Tracking of Tagged Marine Megafauna

Alexandri,

Diamant

2022

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…However, in the practical case where the seabed is complex and the detection range is not iso-symmetric, a more rigorous way to determine the anchors' deployment location is required. Two examples of the under-utilization of the deployment setup using CP are a testbed setup to track acoustically tagged slipper lobsters, Scyllarides latus, at the Achziv Marine Nature Reserve in northern Israel (Alexandri et al, 2018), and a testbed aimed to explore the motion of tagged sandbar sharks, Carcharhinus plumbeus, close to the "Orot Rabin" Power and Desalination Station in Hadera, Israel (32°28'N; 34°52'E) (Alexandri et al, 2019). In the former, four receivers were anchored in a triangle according to the CP approach over a rocky seabed, and 19 lobsters were tagged and tracked for a period of 8 months.…”

Section: Introductionmentioning

confidence: 99%

Design of an Optimal Testbed for Acoustic Tags: Test Case for Marine Megafauna

Alexandri

Diamant

2022

Front. Mar. Sci.

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Underwater acoustic technologies are a key component for exploring the behavior of marine fauna such as sea turtles, sharks, and seals. The animals are marked with acoustic devices (tags) that periodically emit signals encoding the device’s ID along with sensor data such as depth, temperature, or the dominant acceleration axis - data that is collected by a network of deployed receivers. In this work, we aim to optimize the locations of receivers for best tracking of acoustically tagged marine fauna, and provide a test case with tags suitable for megafauna tracking. The outcomes of such tracking allows the evaluation of the animals’ motion patterns, their hours of activity, and their social interactions. In particular, we focus on how to determine the receivers’ deployment positions to maximize the coverage area in which the tagged animals can be tracked. For example, an overly-condensed deployment may not allow accurate tracking, whereas a sparse one, may lead to a small coverage area due to too few detections. We formalize the question of where to best deploy the receivers as a non-convex constraint optimization problem that takes into account the local environment and the specifications of the tags, and offer a sub-optimal, low-complexity solution that can be applied to large testbeds. Numerical investigation for three stimulated sea environments shows that our proposed method is able to increase the localization coverage area by 30%, and results from a test case experiment demonstrate similar performance in a real sea environment. We share the implementation of our work to help researchers set up their own acoustic observatory.

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Preliminary insights of a mixed-species shark aggregation: a case study of two carcharhinids from the Mediterranean Sea

et al. 2022

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species co-occurred and share the study site, their finerscale associations revealed temporal partitioning between species and species assortment in sandbar sharks. The multi-species network was also structured by sex. The difference between species may indicate separate strategies and temporal niche partitioning at the aggregation site. The particularly warmer temperatures (~ 5-10 °C warmer) caused by the electric power plant suggest that female dusky sharks follow the thermal niche-fecundity hypothesis by selecting warmer waters to optimize gestation, while male sandbar sharks socialize at the site. This study represents the first attempt to examine the finescale structure of a mixed-species aggregation of sharks and provides new insights into the shark's social structures through tolerance of each other and social-niche partitioning in this mixed-species aggregation.

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Localization of Acoustically Tagged Marine Animals in Under-Ranked Conditions

Cited by 11 publications

References 34 publications

Design of an Optimal Testbed for Tracking of Tagged Marine Megafauna

Design of an Optimal Testbed for Tracking of Tagged Marine Megafauna

Design of an Optimal Testbed for Acoustic Tags: Test Case for Marine Megafauna

Preliminary insights of a mixed-species shark aggregation: a case study of two carcharhinids from the Mediterranean Sea

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