Behavioural biases in multispecies commercial fisheries and their impacts on stock assessments

dc.contributor.authorFulton, Samantha
dc.contributor.examiningcommitteeDavoren, Gail (Biological Sciences) Muthukumarana, Saman (Statistics)en_US
dc.contributor.supervisorGillis, Darren (Biological Sciences)en_US
dc.date.accessioned2017-09-08T20:21:36Z
dc.date.available2017-09-08T20:21:36Z
dc.date.issued2017
dc.degree.disciplineBiological Sciencesen_US
dc.degree.levelMaster of Science (M.Sc.)en_US
dc.description.abstractAccurate population estimates are a central aspect in species management, especially for fish stocks subjected to harvest pressures. Commercial fisheries catch landings provide an abundant source of data, but are inherently biased due to fishers actively targeting or avoiding certain species and areas. I investigated how biases in the behaviour of the fishers may impact the overall abundance index through generalized additive mixed models using subsets of data selected based on the inferred behaviour of the fishers for two commercially valuable species on the east coast of Canada. For both haddock (Melanogrammus aeglefinus) and redfish (Sebastes spp), fishing sets targeting the species and sets where the species were caught as bycatch produced different relative abundance indices despite being drawn from the same underlying population. When these indices were used in a virtual population analysis stock assessment for haddock, the resulting spawning stock biomass estimates reflected the biases in the index. Indices produced from bycatch data provided a more robust population estimate than target data, and may be a suitable alternative for when survey data are unavailable.en_US
dc.description.noteOctober 2017en_US
dc.identifier.urihttp://hdl.handle.net/1993/32524
dc.language.isoengen_US
dc.rightsopen accessen_US
dc.subjectMultispecies fisheriesen_US
dc.subjectTargetingen_US
dc.subjectStandardized catchen_US
dc.subjectGAMMen_US
dc.subjectVirtual population analysisen_US
dc.subjectBiasen_US
dc.titleBehavioural biases in multispecies commercial fisheries and their impacts on stock assessmentsen_US
dc.typemaster thesisen_US
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