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In-situ observations using tagged animals

Authors :
Fabien Roquet
Lars Boehme
Marthan Bester
Horst Bornemann
Sophie Brasseur
Jean-Benoit Charrassin
Daniel Costa
Michael Fedak
Christophe Guinet
Ailsa Hall
Robert Harcourt
Mark Hindell
Kovacs, Kit M.
Mary-Anne Lea
Philip Lovell
Andrew Lowther
Christian Lydersen
Clive McMahon
Baptiste Picard
Gilles Reverdin
Cécile Vincent
University of St Andrews. School of Biology
University of St Andrews. Sea Mammal Research Unit
University of St Andrews. Marine Alliance for Science & Technology Scotland
University of St Andrews. Scottish Oceans Institute
Source :
University of St Andrews CRIS, EPIC3ALPS-Autonomous and Lagrangian Platforms and Sensors, Scripps Seaside Forum La Jolla, CA, USA, 2017-02-21-2017-02-24

Abstract

Marine mammals help gather information on some of the harshest environments on the planet, through the use of miniaturized ocean sensors glued on their fur. Since 2004, hundreds of diving marine animals, mainly Antarctic and Arctic seals, have been fitted with a new generation of Argos tags developed by the Sea Mammal Research Unit of the University of St Andrews in Scotland, UK. These tags investigate the at-sea ecology of these animals while simultaneously collecting valuable oceanographic data. Some of the study species travel thousands of kilometres continuously diving to great depths (up to 2100 m). The resulting data are now freely available to the global scientific community at http://www.meop.net. Despite great progress in their reliability and data accuracy, the current generation of loggers while approaching standard ARGO quality specifications have yet to match them. Yet, improvements are underway; they involve updating the technology, implementing a more systematic phase of calibration and taking benefit of the recently acquired knowledge on the dynamical response of sensors. Together these efforts are rapidly transforming animal tagging into one of the most important sources of oceanographic data in polar regions and in many coastal areas. Publisher PDF Non

Details

Database :
OpenAIRE
Journal :
University of St Andrews CRIS, EPIC3ALPS-Autonomous and Lagrangian Platforms and Sensors, Scripps Seaside Forum La Jolla, CA, USA, 2017-02-21-2017-02-24
Accession number :
edsair.dedup.wf.001..83dca66a9cc2422188fed5f5ad314e32