dc.contributor.author	Pasban Roozbahani, Negin
dc.contributor.examiningcommittee	Portet, Stéphanie (Mathematics) Gillis, Darren (Biological Sciences)	en_US
dc.contributor.supervisor	Arino, Julien (Mathematics) Kirkland, Stephen (Mathematics)	en_US
dc.date.accessioned	2017-09-07T16:52:57Z
dc.date.available	2017-09-07T16:52:57Z
dc.date.issued	2017
dc.degree.discipline	Mathematics	en_US
dc.degree.level	Master of Science (M.Sc.)	en_US
dc.description.abstract	The research focus in this thesis is twofold. First, we formulate an age- and stage-structured discrete-time matrix population model to describe the behaviour of an Arctic Charr population. Given the properties of the model, a weak ergodic behaviour is expected in the long run. Then, utilizing data collected in Cambridge Bay and using a generalized weighted least squares method, model parameters are estimated. The results of estimated parameters and a sensitivity analysis reveal the importance of early-ages individuals in the limiting behaviour of the population. Second, we investigate how the fitness of such a population might change in a fluctuating environment. We assume three types of yearly environments; good, intermediate and bad. A discrete time Markov chain governs the transitions between environmental states. The results in this step also suggest a weak ergodic behaviour for the population; a stochastic growth rate is provided for the population in this fluctuating environment.	en_US
dc.description.note	October 2017	en_US
dc.identifier.uri	http://hdl.handle.net/1993/32496
dc.language.iso	eng	en_US
dc.rights	open access	en_US
dc.subject	Arctic Charr, Multi structural population model, Fluctuating environment, Markov chain, Ergodicity	en_US
dc.title	A model for Arctic Charr populations in Cambridge Bay considering fluctuating environment	en_US
dc.type	master thesis	en_US

A model for Arctic Charr populations in Cambridge Bay considering fluctuating environment

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