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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/27404

Title: Integrated monitoring of Mola mola behaviour in space and time
Authors: Sousa, Lara L.
Lopez-Castejon, Francisco
Gilabert, Javier
Relvas, Paulo
Couto, Ana
Queiroz, Nuno
Caldas, Renato
Dias, Paulo Sousa
Dias, Hugo
Faria, Margarida
Ferreira, Filipe
Ferreira, Antonio Sergio
Fortuna, Joao
Gomes, Ricardo Joel
Loureiro, Bruno
Martins, Ricardo
Madureira, Luis
Neiva, Jorge
Oliveira, Marina
Pereira, Joao
Pinto, Jose
Py, Frederic
Queiros, Hugo
Silva, Daniel
Baliyarasimhuni, Sujit P.
Zolich, Artur
Johansen, Tor Arne
de Sousa, Joao Borges
Rajan, Kanna
Editors: Engelmann, J
Issue Date: 2016
Publisher: © the Authors. Published by Public Library of Science (PloS)
Citation: SOUSA, L.L. ...et al., 2016. Integrated Monitoring of Mola mola Behaviour in Space and Time. PLOS ONE, 11(8): e0160404.
Abstract: Over the last decade, ocean sunfish movements have been monitored worldwide using various satellite tracking methods. This study reports the near-real time monitoring of finescale (< 10 m) behaviour of sunfish. The study was conducted in southern Portugal in May 2014 and involved satellite tags and underwater and surface robotic vehicles to measure both the movements and the contextual environment of the fish. A total of four individuals were tracked using custom-made GPS satellite tags providing geolocation estimates of fine-scale resolution. These accurate positions further informed sunfish areas of restricted search (ARS), which were directly correlated to steep thermal frontal zones. Simultaneously, and for two different occasions, an Autonomous Underwater Vehicle (AUV) videorecorded the path of the tracked fish and detected buoyant particles in the water column. Importantly, the densities of these particles were also directly correlated to steep thermal gradients. Thus, both sunfish foraging behaviour (ARS) and possibly prey densities, were found to be influenced by analogous environmental conditions. In addition, the dynamic structure of the water transited by the tracked individuals was described by a Lagrangian modelling approach. The model informed the distribution of zooplankton in the region, both horizontally and in the water column, and the resultant simulated densities positively correlated with sunfish ARS behaviour estimator (rs = 0.184, p<0.001). The model also revealed that tracked fish opportunistically displace with respect to subsurface current flow. Thus, we show how physical forcing and current structure provide a rationale for a predator’s finescale behaviour observed over a two weeks in May 2014.
Description: This is an Open Access Article. It is published by PloS under the Creative Commons Attribution 4.0 Unported Licence (CC BY). Full details of this licence are available at: http://creativecommons.org/licenses/by/4.0/
Sponsor: The work was funded in part by the US Office of Naval Research Global (ONRG) funded under PERSISTS Grant #N62909-14-1-N109. KR and FP were funded by ONR Grant # N00014-14-1-0536 for work on the manuscript. Additional funding from FLAD (the Luso American Development Foundation) is also acknowledged. Fundação para a Ciência e a Tecnologia (FCT), Portugal, through a PhD grant to LLS (SFRH/BD/68717/2010); an Investigator Fellowship to NQ (IF/01611/2013) and the SHORE project (Shoreface morphodynamics: an integrated approach) under the contract PTDC/MAREST/ 3485/2012, for the ADCP data. NQ and JS were also funded through the project ‘Marinfo’ co-financed by North Portugal Regional Operational Programme (N2020), under the National Strategic Reference Framework (NSRF) via the European Regional Development Fund (ERDF). AZ and TAJ were funded by the Research Council of Norway through the Centres of Excellence funding scheme, grant number 223254—AMOS.
Version: Published
DOI: 10.1371/journal.pone.0160404
URI: https://dspace.lboro.ac.uk/2134/27404
Publisher Link: https://doi.org/10.1371/journal.pone.0160404
Appears in Collections:Published Articles (Aeronautical and Automotive Engineering)

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