Scaling Marine Fish Movement Behavior from Individuals to Populations
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Article: Griffiths, C.A., Patterson, T.A., Blanchard, J. et al. (4 more authors) (2018) Scaling marine fish movement behavior from individuals to populations. Ecology and Evolution, 8 (14). pp. 7031-7043. ISSN 2045-7758 https://doi.org/10.1002/ece3.4223
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Received November | Revised February | Accepted March DOI: 10.1002/ece3.4223
ORIGINAL RESEARCH
Scaling marine fish movement behavior from individuals to populations
Christopher A. Griffiths1,2,3 | Toby A Patterson4 | Ju ia L B anchard2 | David A. Righton3 | Serena R Wright3 | Jon W Pitchford5 | Pau G B ackwe 1
1Schoo of Mathematics and Statistics University of Sheffie d Sheffie d Abstract UK Understanding how where and when anima s move is a centra prob em in marine 2 Institute for Marine and Antarctic eco ogy and conservation Key to improving our know edge about what drives anima Studies University of Tasmania Hobart TAS Austra ia movement is the rising dep oyment of te emetry devices on a range of free roaming 3Centre for Environment Fisheries and species An increasing y popu ar way of gaining meaningfu inference from an ani Aquacu ture Science Lowestoft Laboratory ma s recorded movements is the app ication of hidden Markov mode s HMMs Lowestoft UK 4CSIRO Marine and Atmospheric Research which a ow for the identification of atent behaviora states in the movement paths Hobart TAS Austra ia of individua s However the use of HMMs to exp ore the popu ation eve conse 5 Department of Bio ogy University of York quences of movement is often imited by mode comp exity and insufficient samp e York UK sizes Here we introduce an a ternative approach to current practices and provide Correspondence evidence of how the inc usion of prior information in mode structure can simp ify the Christopher A Griffiths Schoo of Mathematics and Statistics University of app ication of HMMs to mu tip e anima movement paths with two c ear benefits a Sheffie d Sheffie d UK consistent state a ocation and b increases in effective samp e size To demonstrate Emai cagriffiths sheffie d ac uk the uti ity of our approach we app y HMMs and adapted HMMs to over mu ti Funding information variate movement paths consisting of conditiona y dependent dai y horizonta and Natura Environment Research Counci Grant Award Number NE L vertica movements in two species of demersa fish At antic cod Gadus morhua; n and European p aice Pleuronectes platessa; n We identify atent states corresponding to two main under ying behaviors resident and migrating As our ana ysis considers a re ative y arge samp e size and states are a ocated consistent y we use co ective mode output to investigate state dependent spatiotempora trends at the individua and popu ation eve s In particu ar we show how both species shift their movement behaviors on a seasona basis and demonstrate popu ation space use patterns that are consistent with previous individua eve studies Tagging studies are increasing y being used to inform stock assessment mode s spatia management strategies and monitoring of marine fish popu ations Our approach provides a prom ising way of adding va ue to tagging studies because inferences about movement behavior can be gained from a arger proportion of datasets making tagging studies more re evant to management and more cost effective
This is an open access artic e under the terms of the Creative Commons Attribution License which permits use distribution and reproduction in any medium provided the origina work is proper y cited The Authors Ecology and Evolution pub ished by John Wi ey Sons Ltd
Ecology and Evolution. 2018;8:7031–7043. www.ecolevol.org | 7031 | GRIFFITHS ET AL.
KEYWORDS At antic cod data storage tags European p aice hidden Markov mode ing movement behavior popu ation eve patterns priors