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Factors that predict brook trout distribution, thermal habitat, and abundance in Northwestern Ontario streams

dc.contributor.advisorMomot, Walter T.
dc.contributor.advisorBozek, M.
dc.contributor.authorPicard, Christopher Robert
dc.date.accessioned2017-06-06T13:07:08Z
dc.date.available2017-06-06T13:07:08Z
dc.date.created1995
dc.date.issued1995
dc.identifier.urihttp://knowledgecommons.lakeheadu.ca/handle/2453/2151
dc.description.abstractPredictive models were developed to improve the understanding of stream-resident brook trout (Salvelinus fontinalis) populations and habitat in northwestern Ontario, and to facilitate protection of stream-resident brook trout from the adverse impacts of timber harvest. Geology-based models correctly predicted trout presence/absence in 75%-80% of streams studied in 1993. However, correct prediction rates declined to 50%-65% when these models were transferred to independent data collected in 1992 and 1994. Combining data from all years produced models that correctly predicted trout presence/absence in 70%-80% of streams. Univariate geology models were best at predicting trout presence (up to 85% correct predictions). One-third of the trout streams data had maximum summer temperatures >22deg.C , and thus are considered marginal. Using the combined data, models with geology and climate variables explained up to 24% of the variation associated with stream temperatures. Stream temperatures were negatively related to brook trout abundance in the combined data. Stability of stream temperatures accounted for 25% of the variation in trout biomass (kg/ha). These models could be used by fisheries managers to implement current guidelines protecting brook trout habitat from the effects of timber harvest.
dc.language.isoen_US
dc.subjectBrook trout Ontario, Northwestern.
dc.titleFactors that predict brook trout distribution, thermal habitat, and abundance in Northwestern Ontario streams
dc.typeThesis
etd.degree.nameMaster of Science
etd.degree.levelMaster
etd.degree.disciplineBiology
etd.degree.grantorLakehead University


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