Utilising mark-recapture data for Bayesian modelling of fish mortality

In this work, the aim was to produce a realistic assessment of yearly mortality of Archipelago Sea pike perch during the period 1997-2012. The utilized data origins from the mark-recapture experiment carried out by the Finnish Game and Fisheries Research Institute (FGFRI). In this mark-recapture...

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Main Author: Kopra, Juho
Other Authors: Matemaattis-luonnontieteellinen tiedekunta, Faculty of Sciences, Matematiikan ja tilastotieteen laitos, Department of Mathematics and Statistics, University of Jyväskylä, Jyväskylän yliopisto
Format: Master's thesis
Language:eng
Published: 2013
Subjects:
Online Access: https://jyx.jyu.fi/handle/123456789/42811
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author Kopra, Juho
author2 Matemaattis-luonnontieteellinen tiedekunta Faculty of Sciences Matematiikan ja tilastotieteen laitos Department of Mathematics and Statistics University of Jyväskylä Jyväskylän yliopisto
author_facet Kopra, Juho Matemaattis-luonnontieteellinen tiedekunta Faculty of Sciences Matematiikan ja tilastotieteen laitos Department of Mathematics and Statistics University of Jyväskylä Jyväskylän yliopisto Kopra, Juho Matemaattis-luonnontieteellinen tiedekunta Faculty of Sciences Matematiikan ja tilastotieteen laitos Department of Mathematics and Statistics University of Jyväskylä Jyväskylän yliopisto
author_sort Kopra, Juho
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description In this work, the aim was to produce a realistic assessment of yearly mortality of Archipelago Sea pike perch during the period 1997-2012. The utilized data origins from the mark-recapture experiment carried out by the Finnish Game and Fisheries Research Institute (FGFRI). In this mark-recapture experiment, returnings of the marks were based on voluntary tag reporting by the fishermen gaining small monetary rewards. In this study design, the count of returned tags is affected by the size of the release cohort, efficiency of the fishing method used by a fisherman and the fisherman’s willingness to return the tag. In addition, each year a proportion of the tags become detached from fish, which means that those tags cannot be returned. All these factors were taken into account in a hierarchical model, which was developed in the same fashion as the well-known Cormack-Jolly-Seber model. Data from the yearly total catch were not used in this work because those data will be used in the subsequent research utilizing results of this work. The objective of this work was to estimate fishing gear specific catchability coefficients and mortality rates, including natural mortality rate. The amount of data and number of parameters to be estimated set their own limitations, so it was decided to estimate parameters of interest by splitting the data into only three fishing fleets: professional fishermen, recreational net fishermen and recreational line fishermen. The estimability of the hierarchical model developed for mark-recapture data was studied using simulation experiments. One was able to find such a model configuration, where the parameters concerning mortality estimates may be es- timated without significant systematic errors in the estimated posterior distri- butions. Simultaneously, the tag reporting probabilities were estimated for each of the three fishing fleets although systematic errors remained for these param- eters. The final mortality estimate indicates that about half of the Archipelago Sea pike perch population is removed annually. For the recent years about half of this mortality was caused by professional fishing, and almost the same amount was due to natural death. The mortality caused by recreational fishing is the smallest mortality component. The estimate concerns population similar to released cohorts. The produced estimate is sensitive to many factors, whereas effects of environmental change, or changes in seal or cormorant abundances, were beyond the scope of this work.
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The utilized data\r\norigins from the mark-recapture experiment carried out by the Finnish Game\r\nand Fisheries Research Institute (FGFRI). In this mark-recapture experiment,\r\nreturnings of the marks were based on voluntary tag reporting by the fishermen\r\ngaining small monetary rewards. In this study design, the count of returned tags\r\nis affected by the size of the release cohort, efficiency of the fishing method used\r\nby a fisherman and the fisherman\u2019s willingness to return the tag. In addition,\r\neach year a proportion of the tags become detached from fish, which means that\r\nthose tags cannot be returned. All these factors were taken into account in a\r\nhierarchical model, which was developed in the same fashion as the well-known\r\nCormack-Jolly-Seber model. Data from the yearly total catch were not used in\r\nthis work because those data will be used in the subsequent research utilizing\r\nresults of this work.\r\nThe objective of this work was to estimate fishing gear specific catchability\r\ncoefficients and mortality rates, including natural mortality rate. The amount\r\nof data and number of parameters to be estimated set their own limitations,\r\nso it was decided to estimate parameters of interest by splitting the data into\r\nonly three fishing fleets: professional fishermen, recreational net fishermen and\r\nrecreational line fishermen.\r\nThe estimability of the hierarchical model developed for mark-recapture data\r\nwas studied using simulation experiments. One was able to find such a model\r\nconfiguration, where the parameters concerning mortality estimates may be es-\r\ntimated without significant systematic errors in the estimated posterior distri-\r\nbutions. Simultaneously, the tag reporting probabilities were estimated for each\r\nof the three fishing fleets although systematic errors remained for these param-\r\neters.\r\nThe final mortality estimate indicates that about half of the Archipelago Sea\r\npike perch population is removed annually. For the recent years about half of\r\nthis mortality was caused by professional fishing, and almost the same amount\r\nwas due to natural death. The mortality caused by recreational fishing is the\r\nsmallest mortality component. The estimate concerns population similar to\r\nreleased cohorts. The produced estimate is sensitive to many factors, whereas\r\neffects of environmental change, or changes in seal or cormorant abundances,\r\nwere beyond the scope of this work.", "language": "en", "element": "description", "qualifier": "abstract", "schema": "dc"}, {"key": "dc.description.provenance", "value": "Submitted using Plone Publishing form by Juho Kopra (jujokopr) on 2014-01-16 19:11:35.504934. 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spellingShingle Kopra, Juho Utilising mark-recapture data for Bayesian modelling of fish mortality Bayes kuha kuolleisuus merkintä-takaisinpyynti Tilastotiede Statistics 4043 bayesilainen menetelmä
title Utilising mark-recapture data for Bayesian modelling of fish mortality
title_full Utilising mark-recapture data for Bayesian modelling of fish mortality
title_fullStr Utilising mark-recapture data for Bayesian modelling of fish mortality Utilising mark-recapture data for Bayesian modelling of fish mortality
title_full_unstemmed Utilising mark-recapture data for Bayesian modelling of fish mortality Utilising mark-recapture data for Bayesian modelling of fish mortality
title_short Utilising mark-recapture data for Bayesian modelling of fish mortality
title_sort utilising mark recapture data for bayesian modelling of fish mortality
title_txtP Utilising mark-recapture data for Bayesian modelling of fish mortality
topic Bayes kuha kuolleisuus merkintä-takaisinpyynti Tilastotiede Statistics 4043 bayesilainen menetelmä
topic_facet 4043 Bayes Statistics Tilastotiede bayesilainen menetelmä kuha kuolleisuus merkintä-takaisinpyynti
url https://jyx.jyu.fi/handle/123456789/42811 http://www.urn.fi/URN:NBN:fi:jyu-201401161075
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