FN Archimer Export Format PT J TI Acoustic and archival technologies join forces: A combination tag BT AF Goossens, Jolien Woillez, Mathieu LeBris, Arnault Verhelst, Pieterjan Moens, Tom Torreele, Els Reubens, Jan AS 1:1,2;2:3;3:4;4:5;5:1;6:6;7:2; FF 1:;2:PDG-RBE-HALGO-LBH;3:;4:;5:;6:;7:; C1 Marine Biology Research Group, Ghent University Ghent,Belgium Flanders Marine Institute Ostend, Belgium DECOD Ecosystem Dynamics and Sustainability, IFREMER Plouzané ,France Centre for Fisheries Ecosystems Research Fisheries and Marine Institute of Memorial University of Newfoundland St. John's Newfoundland ,Canada Research Institute for Nature and Forest (INBO) Brussels, Belgium Flanders Research Institute for Agriculture, Fisheries and Food, ILVO Marine Research Ostend ,Belgium C2 UNIV GHENT, BELGIUM FLANDERS MARINE INSTITUTE (VLIZ), BELGIUM IFREMER, FRANCE UNIV MEM NEWFOUNDLAND, CANADA INBO, BELGIUM ILVO, BELGIUM SI BREST SE PDG-RBE-HALGO-LBH UM DECOD IN WOS Ifremer UMR DOAJ copubli-europe copubli-int-hors-europe IF 6.6 TC 3 UR https://archimer.ifremer.fr/doc/00815/92692/98996.pdf https://archimer.ifremer.fr/doc/00815/92692/98997.pdf https://archimer.ifremer.fr/doc/00815/92692/98998.pdf LA English DT Article DE ;acoustic telemetry;data storage tag;electronic tagging;geolocation model;movement ecology AB Technological advances are key to maximizing the information potential in electronic tagging studies. Acoustic tags inform on the location of tagged animals when they are in the range of an acoustic receiver, whereas archival tags render continuous time series of logged sensor measurements, from which trajectories can be inferred. We applied a newly developed acoustic data storage tag (ADST) on 154 animals of three fish species to investigate the potential of this combination tag. Fish trajectories were reconstructed from logged depth and temperature histories using an existing geolocation modelling approach, adapted to include a likelihood for acoustic detections. Out of 126 detected fish (accounting for over 700,000 detections) and 25 tag recoveries, eight ADSTs rendered both acoustic and archival data. These combined data could validate that the original geolocation model performed adequately in locating the fish trajectories in space. The acoustic data improved the timing of the daily position estimates. Acoustic and archival tagging technologies provided highly complementary information on fish movement patterns and could partly overcome the limitations of either technique. Furthermore, the ongoing developments to acoustically transmit summary statistics of logged data would further increase the information potential of combination tags when tracking aquatic species. PY 2023 PD MAR SO Methods In Ecology And Evolution SN 2041-210X PU Wiley VL 14 IS 3 UT 000910935000001 BP 860 EP 866 DI 10.1111/2041-210X.14045 ID 92692 ER EF