Abstract
Autonomous sailboats are silent surface vehicles which are well suited for acoustic monitoring. The integration of an acoustic receiver in an unmanned surface vehicle has a large potential for population monitoring as it permits to report geo-referenced detections in real time, so that researchers can adapt monitoring strategies as data arrive. In this paper we present preliminary work, done on the framework of ACUSQUAT project, to explore the usage of an acoustic receiver onboard a small (2 m length-over-all) autonomous sailboat in order to detect the presence of tagged adult exemplars of angelshark (Squatina squatina), the target species in ACUSQUAT, in certain areas which have demonstrated that this approach is feasible. Results obtained in simulation and during field trials are presented.
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Domínguez-Brito, A.C., Valle-Fernández, B., Cabrera-Gámez, J., Ramos-de Miguel, A., García, J.C.: A-TIRMA G2: an oceanic autonomous sailboat. In: Friebe, A., Haug, F. (eds.) Robotic Sailing 2015, pp. 3–13. Springer International Publishing (2016). https://doi.org/10.1007/978-3-319-23335-2_1
Ghani, M.H., Hole, L.R., Fer, I., Kourafalou, V.H., Wienders, N., Kang, H., Drushka, K., Peddie, D.: The sailbuoy remotely-controlled unmanned vessel: measurements of near surface temperature, salinity and oxygen concentration in the northern gulf of mexico. Methods Oceanogr. 10, 104–121 (2014). Special Issue: Autonomous Marine Vehicles. https://doi.org/10.1016/j.mio.2014.08.001. http://www.sciencedirect.com/science/article/pii/S2211122014000395
Grothues, T.M., Dobarro, J., Ladd, J., Higgs, A., Niezgoda, G., Miller, D.: Use of a multi-sensored auv to telemeter tagged atlantic sturgeon and map their spawning habitat in the Hudson river, USA. In: 2008 IEEE/OES Autonomous Underwater Vehicles, pp. 1–7 (2008). https://doi.org/10.1109/AUV.2008.5347597
Lin, Y., Hsiung, J., Piersall, R., White, C., Lowe, C.G., Clark, C.M.: A multi-autonomous underwater vehicle system for autonomous tracking of marine life. J. Field Rob. 34(4), 757–774 (2017). https://doi.org/10.1002/rob.21668
Meyers, E.K.M., Tuya, F., Barker, J., Alvarado, D.J., Castro-Hernández, J.J., Haroun, R., Rödder, D.: Population structure, distribution and habitat use of the critically endangered angelshark, squatina squatina, in the canary islands. Aquatic Conserv. Marine Freshw. Ecosyst. 27(6), 1133–1144 (2017). https://doi.org/10.1002/aqc.2769
Mordy, C.W., Cokelet, E.D., De Robertis, A., Jenkins, R., Kuhn, C.E., Lawrence-Slavas, N., Berchok, C.L., Crance, J.L., Sterling, J.T., Cross, J.N., Stabeno, P.J., Meinig, C., Tabisola, H.M., Burgess, W., Wangen, I.: Advances in ecosystem research: saildrone surveys of oceanography, fish, and marine mammals in the bering sea. Oceanography 30 (2017). https://doi.org/10.5670/oceanog.2017.230
Morey, G., Barker, J., Hood, A., Gordon, C., Bartolí, A., Meyers, E., Ellis, J., Sharp, R., Jimenez-Alvarado, D., Pollom, R.: Squatina squatina. The IUCN red list of threatened species 2019 e.T39332A117498371 (2019). https://doi.org/10.2305/IUCN.UK.2019-1.RLTS.T39332A117498371.en
Santana-Jorge, F.J., Domínguez-Brito, A.C., Cabrera-Gámez, J.: A component-based C++ communication middleware for an autonomous robotic sailboat. In: Øvergård, K.I. (ed.) Robotic Sailing 2017, pp. 39–54. Springer International Publishing (2018). https://doi.org/10.1007/978-3-319-72739-4_4
Verfuss, U.K., Aniceto, A.S., Harris, D.V., Gillespie, D., Fielding, S., Jiménez, G., Johnston, P., Sinclair, R.R., Sivertsen, A., Solbø, S.A., Storvold, R., Biuw, M., Wyatt, R.: A review of unmanned vehicles for the detection and monitoring of marine fauna. Marine Pollut. Bull. 140, 17–29 (2019). https://doi.org/10.1016/j.marpolbul.2019.01.009. http://www.sciencedirect.com/science/article/pii/S0025326X19300098
Voosen, P.: Saildrone fleet could help replace aging buoys. Science 359(6380), 1082–1083 (2018). https://doi.org/10.1126/science.359.6380.1082. https://science.sciencemag.org/content/359/6380/1082
Zolich, A., Johansen, T.A., Alfredsen, J.A., Kuttenkeuler, J., Erstorp, E.: A formation of unmanned vehicles for tracking of an acoustic fish-tag. In: OCEANS 2017 - Anchorage, pp. 1–6 (2017). https://ieeexplore.ieee.org/document/8232099
Acknowledgements
This research has been partially funded by Loro Parque Fundation through project BioACU and Fundación Biodiversidad (Spanish Ministry for Ecological Transition) through project: “ACUSQUAT: Seguimiento acústico del comportamiento del angelote (Squatina squatina) en áreas críticas de conservación” (Acoustic tracking of Angelshark (Squatina squatina) behavior in critical areas of preservation). Reference CA_BT_BM_2017.
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Cabrera-Gámez, J. et al. (2020). Acoustic Detection of Tagged Angelsharks from an Autonomous Sailboat. In: Silva, M., Luís Lima, J., Reis, L., Sanfeliu, A., Tardioli, D. (eds) Robot 2019: Fourth Iberian Robotics Conference. ROBOT 2019. Advances in Intelligent Systems and Computing, vol 1092. Springer, Cham. https://doi.org/10.1007/978-3-030-35990-4_24
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