Using movement data from electronic tags in fisheries stock assessment: A review of models, technology and experimental design. Sippel, T., Eveson, J. P., Galuardi, B., Lam, C., Hoyle, S., Maunder, M., Kleiber, P., Carvalho, F., Tsontos, V., Teo, S. L. H., Aires-da-Silva, A., & Nicol, S. FISHERIES RESEARCH, 163(SI):152-160, ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS, MAR, 2015.
doi  abstract   bibtex   
Tag-recapture data have long been important data sources for fisheries management, with the capacity to inform abundance, mortality, growth and movement within stock assessments. Historically, this role has been fulfilled with low-tech conventional tags, but the relatively recent and rapid development of electronic tags has dramatically increased the potential to collect more high quality data. Stock assessment models have also been evolving in power and complexity recently, with the ability to integrate multiple data sources into unified spatially explicit frameworks. However, electronic tag technologies and stock assessment models have developed largely independently, and frameworks for incorporating these valuable data in contemporary stock assessments are nascent, at best. Movement dynamics of large pelagic species have been problematic to resolve in modern assessments, and electronic tags offer new opportunities to resolve some of these issues. Pragmatic ways of modeling movement are often not obvious, and basic research into discrete and continuous processes, for example, is ongoing. Experimental design of electronic tagging research has been driven mostly by ecological and biological questions, rather than optimized for stock assessment, and this is probably a complicating factor in integration of the data into assessment models. A holistic overview of the current state of assessment models, electronic tag technologies, and experimental design is provided here, with the aim to provide insight into how stock assessment and electronic tagging research can be conducted most effectively together. (C) 2014 Elsevier B.V. All rights reserved.
@article{ ISI:000348971300014,
Author = {Sippel, Tim and Eveson, J. Paige and Galuardi, Benjamin and Lam, Chi and
   Hoyle, Simon and Maunder, Mark and Kleiber, Pierre and Carvalho, Felipe
   and Tsontos, Vardis and Teo, Steven L. H. and Aires-da-Silva, Alexandre
   and Nicol, Simon},
Title = {{Using movement data from electronic tags in fisheries stock assessment:
   A review of models, technology and experimental design}},
Journal = {{FISHERIES RESEARCH}},
Year = {{2015}},
Volume = {{163}},
Number = {{SI}},
Pages = {{152-160}},
Month = {{MAR}},
Abstract = {{Tag-recapture data have long been important data sources for fisheries
   management, with the capacity to inform abundance, mortality, growth and
   movement within stock assessments. Historically, this role has been
   fulfilled with low-tech conventional tags, but the relatively recent and
   rapid development of electronic tags has dramatically increased the
   potential to collect more high quality data. Stock assessment models
   have also been evolving in power and complexity recently, with the
   ability to integrate multiple data sources into unified spatially
   explicit frameworks. However, electronic tag technologies and stock
   assessment models have developed largely independently, and frameworks
   for incorporating these valuable data in contemporary stock assessments
   are nascent, at best. Movement dynamics of large pelagic species have
   been problematic to resolve in modern assessments, and electronic tags
   offer new opportunities to resolve some of these issues. Pragmatic ways
   of modeling movement are often not obvious, and basic research into
   discrete and continuous processes, for example, is ongoing. Experimental
   design of electronic tagging research has been driven mostly by
   ecological and biological questions, rather than optimized for stock
   assessment, and this is probably a complicating factor in integration of
   the data into assessment models. A holistic overview of the current
   state of assessment models, electronic tag technologies, and
   experimental design is provided here, with the aim to provide insight
   into how stock assessment and electronic tagging research can be
   conducted most effectively together. (C) 2014 Elsevier B.V. All rights
   reserved.}},
Publisher = {{ELSEVIER SCIENCE BV}},
Address = {{PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Sippel, T (Reprint Author), Southwest Fisheries Sci Ctr, NOAA Fisheries, 8901 La Jolla Shores Dr, La Jolla, CA 92037 USA.
   Sippel, Tim; Teo, Steven L. H., Southwest Fisheries Sci Ctr, NOAA Fisheries, La Jolla, CA 92037 USA.
   Eveson, J. Paige, CSIRO Marine \& Atmospher Res, Hobart, Tas, Australia.
   Galuardi, Benjamin; Lam, Chi, UMass Amherst, Large Pelag Res Ctr, Gloucester, MA 01930 USA.
   Hoyle, Simon; Nicol, Simon, Secretariat Pacific Community, Noumea 98848, New Caledonia.
   Maunder, Mark; Aires-da-Silva, Alexandre, Inter Amer Trop Tuna Commiss, Santa Clara, CA 92037 USA.
   Kleiber, Pierre, NOAA, Pacific Islands Fisheries Sci Ctr, Honolulu, HI 96822 USA.
   Carvalho, Felipe, Univ Florida, Program Fisheries \& Aquat Sci, Gainesville, FL 32653 USA.
   Tsontos, Vardis, NASA, Jet Prop Lab, Pasadena, CA 91109 USA.}},
DOI = {{10.1016/j.fishres.2014.04.006}},
ISSN = {{0165-7836}},
EISSN = {{1872-6763}},
Keywords = {{Spatial stock assessment; Fish movement; Electronic tags; Experimental
   design}},
Keywords-Plus = {{ATLANTIC BLUEFIN TUNA; SATELLITE ARCHIVAL TAGS; CENTRAL PACIFIC-OCEAN;
   CATCH-AT-AGE; TAGGING DATA; MORTALITY-RATES; HORIZONTAL MOVEMENTS;
   POPULATION-STRUCTURE; KATSUWONUS-PELAMIS; THUNNUS-ALBACARES}},
Research-Areas = {{Fisheries}},
Web-of-Science-Categories  = {{Fisheries}},
Author-Email = {{tim.sippel@noaa.gov}},
Funding-Acknowledgement = {{Pelagic Fisheries Research Program at the University of Hawaii through
   the project titled ``Integrating Electronic and Conventional Tagging
   Data into Modern Stock Assessment Models{''} {[}661550]}},
Funding-Text = {{This paper is a culmination of a scientific meeting held during October
   2011 in La Jolla, CA, which was funded by the Pelagic Fisheries Research
   Program at the University of Hawaii through the project titled
   ``Integrating Electronic and Conventional Tagging Data into Modern Stock
   Assessment Models{''} (Project Number 661550). Attendees at the workshop
   included Mark Maunder, Alex Aires Da Silva, Michael Hinton, Rick Deriso,
   Steve Teo, Suzanne Kohin, Tim Sippel, Ian Taylor, Pierre Kleiber, Simon
   Nicol, Simon Hoyle, Karine Briand, Tim Lam, Ben Galuardi, Francois
   Royer, Eunjung Kim, Irina Senina, Felipe Carvalho, Juan Valero, Yukio
   Takeuchi, Shiga Iwata and Mark Fitchett. Thanks to the Inter American
   Tropical Tuna Commission for convening the meeting, to Jeff Laake, Kevin
   Hill, Guest Editor Hilario Murua and two anonymous reviewers for their
   helpful reviews of this manuscript.}},
Number-of-Cited-References = {{106}},
Times-Cited = {{11}},
Usage-Count-Last-180-days = {{3}},
Usage-Count-Since-2013 = {{34}},
Journal-ISO = {{Fish Res.}},
Doc-Delivery-Number = {{CA5TS}},
Unique-ID = {{ISI:000348971300014}},
OA = {{No}},
DA = {{2017-08-17}},
}

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