Integrated monitoring of Mola mola behaviour in space and time
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Sousa, Lara L.; López Castejón, Francisco; Gilabert Cervera, Francisco Javier; Relvas, Paulo; Couto, Ana; [et al.]Área de conocimiento
EcologíalPatrocinadores
This work was supported by the US Office of Naval Research Global (ONRG) funded under PERSISTS Grant #N62909-14-1-N109. KR and FP are 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. Support was also received from 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. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscriptFecha de publicación
2016-08-05Editorial
Public Library of ScienceCita bibliográfica
Sousa LL, López-Castejón F, Gilabert J, Relvas P, Couto A, Queiroz N, et al. (2016) Integrated Monitoring of Mola mola Behaviour in Space and Time. PLoS ONE 11(8): e0160404. https://doi.org/10.1371/journal.pone.0160404Revisión por pares
siPalabras clave
MonitoringOcean
Portugal
Autonomous underwater vehicle
Localización
Resumen
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 ...
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