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dc.contributor.authorWorthington, Hannah
dc.contributor.authorKing, Ruth
dc.contributor.authorMcCrea, Rachel
dc.contributor.authorSmout, Sophie Caroline
dc.contributor.authorPomeroy, Patrick
dc.identifier.citationWorthington , H , King , R , McCrea , R , Smout , S C & Pomeroy , P 2021 , ' Modeling recruitment of birth cohorts to the breeding population : a hidden Markov model approach ' , Frontiers in Ecology and Evolution , vol. 9 , 600967 .
dc.identifier.otherPURE: 269884816
dc.identifier.otherPURE UUID: 11bd1e21-6ca5-4c68-8834-f597e1feb7d0
dc.identifier.otherORCID: /0000-0003-1603-5630/work/90111672
dc.identifier.otherORCID: /0000-0001-5452-3032/work/90112176
dc.identifier.otherScopus: 85102593520
dc.identifier.otherWOS: 000628658500001
dc.descriptionFunding: When the research of this paper was conducted: HW was supported by a Carnegie Scholarship from the Carnegie Trust for the Universities of Scotland; RK was supported by the Leverhulme research fellowship RF-2019-299; and RM was funded by NERC grant NE/J018473/1. Research at the Isle of May was supported by NERC core funding to SMRU.en
dc.description.abstractLong-term capture-recapture studies provide an opportunity to investigate the population dynamics of long-lived species through individual maturation and adulthood and/or time. We consider capture-recapture data collected on cohorts of female gray seals (Halichoerus grypus) born during the 1990s and later observed breeding on the Isle of May, Firth of Forth, Scotland. Female gray seals can live for 30+ years but display individual variability in their maturation rates and so recruit into the breeding population across a range of ages. Understanding the partially hidden process by which individuals transition from immature to breeding members, and in particular the identification of any changes to this process through time, are important for understanding the factors affecting the population dynamics of this species. Age-structured capture-recapture models can explicitly relate recruitment, and other demographic parameters of interest, to the age of individuals and/or time. To account for the monitoring of the seals from several birth cohorts we consider an age-structured model that incorporates a specific cohort-structure. Within this model we focus on the estimation of the distribution of the age of recruitment to the breeding population at this colony. Understanding this recruitment process, and identifying any changes or trends in this process, will offer insight into individual year effects and give a more realistic recruitment profile for the current UK gray seal population model. The use of the hidden Markov model provides an intuitive framework following the evolution of the true underlying states of the individuals. The model breaks down the different processes of the system: recruitment into the breeding population; survival; and the associated observation process. This model specification results in an explicit and compact expression for the model with associated efficiency in model fitting. Further, this framework naturally leads to extensions to more complex models, for example the separation of first-time from return breeders, through relatively simple changes to the mathematical structure of the model.
dc.relation.ispartofFrontiers in Ecology and Evolutionen
dc.rightsCopyright © 2021 Worthington, King, McCrea, Smout and Pomeroy. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.en
dc.subjectAge-structured modelsen
dc.subjectCohort structureen
dc.subjectGray sealsen
dc.subjectHidden statesen
dc.subjectIsle of Mayen
dc.subjectQA Mathematicsen
dc.subjectQH301 Biologyen
dc.titleModeling recruitment of birth cohorts to the breeding population : a hidden Markov model approachen
dc.typeJournal articleen
dc.description.versionPublisher PDFen
dc.contributor.institutionUniversity of St Andrews. School of Biologyen
dc.contributor.institutionUniversity of St Andrews. Sea Mammal Research Uniten
dc.contributor.institutionUniversity of St Andrews. Scottish Oceans Instituteen
dc.contributor.institutionUniversity of St Andrews. Centre for Research into Ecological & Environmental Modellingen
dc.contributor.institutionUniversity of St Andrews. Marine Alliance for Science & Technology Scotlanden
dc.contributor.institutionUniversity of St Andrews. Statisticsen
dc.contributor.institutionUniversity of St Andrews. Coastal Resources Management Groupen
dc.description.statusPeer revieweden

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