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Use of visual data in benthic enrichment classification

dc.contributor.authorSimone, Michelle
dc.contributor.degreeMaster of Scienceen_US
dc.contributor.departmentDepartment of Oceanographyen_US
dc.contributor.external-examinerDr. Peter Cranforden_US
dc.contributor.graduate-coordinatorDr. Dan Kelleyen_US
dc.contributor.thesis-readerDr. Douglas Wallaceen_US
dc.contributor.thesis-readerDr. Christopher Taggarten_US
dc.contributor.thesis-readerDr. Stephanie Kienasten_US
dc.contributor.thesis-supervisorDr. Jon Granten_US
dc.date.accessioned2014-12-15T18:17:57Z
dc.date.available2014-12-15T18:17:57Z
dc.date.defence2014-12-03
dc.date.issued2014-12-15
dc.description.abstractArtificial eutrophication continues to be a primary concern associated with aquaculture practices. In Canada, monitoring benthic health in response to organic enrichment is used to manage these impacts and maintain the desired oxic state in surface sediments. However, results of this study suggest that traditional methods using sulfide concentrations alone are unable to distinguish between oxic and sub-oxic conditions. This work demonstrates that the homogenization of subsamples combined with limitations of a single parameter classification resulted in 93% of hypoxic stations, defined by known biochemical and geochemical visual signatures, were being underestimated and ranked as oxic by sulfide data. Surface video and in situ sediment profile imagery (SPI) data, including a validated use of the apparent redox potential discontinuity (aRPD) as a proxy for redox state, or sulfide concentrations, were integrated into two visual based benthic health indices. Parameters used in the two indices are supported by published sensitivity studies, thus supporting the use of visual proxies in benthic enrichment classifications to define the currently underestimated hypoxic condition resulting from sulfide concentrations alone.en_US
dc.identifier.urihttp://hdl.handle.net/10222/56014
dc.language.isoenen_US
dc.subjectBenthic monitoringen_US
dc.subjectOrganic enrichmenten_US
dc.subjectEnrichment indexen_US
dc.subjectAquacultureen_US
dc.subjectEcosystem healthen_US
dc.subjectSediment profile imageryen_US
dc.titleUse of visual data in benthic enrichment classificationen_US

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