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Fraser River sockeye salmon: data synthesis and cumulative impacts

Fraser River sockeye salmon: data synthesis and cumulative impacts

Fraser River sockeye salmon: data synthesis and cumulative impacts

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Metric Connected to Biologically-supported HypothesisEach reported metric should be clearly connected with a biologically-supported hypothesis thatemphasizes WHY this metric is potentially important in explaining patterns in <strong>sockeye</strong>productivity over time <strong>and</strong>/or space. Consider where these hypotheses fit within the initialconceptual model provided in the template. As stated in David Levy’s letter of Sept 8,hypotheses should be expressed in the form of questions. A temperature index may be developed that only integrates temperature<strong>data</strong> from one season because that is when <strong>sockeye</strong> would be most affectedby temperature or pass by that region. If a statistical method such as multiple regression or PCA is used todetermine that January temperatures are most significant but this is notbiologically supportable (e.g., <strong>sockeye</strong> are not in the area in January), thenthat would be a poor index.Meta<strong>data</strong> – Sources <strong>and</strong> MethodsThe original <strong>data</strong> sources <strong>and</strong> analytical methods need to be explicitly described to communicateHOW this integrative metric was generated. The leaders of each project are expected to be theexperts on how to best integrate stressor-specific <strong>data</strong> over space <strong>and</strong> time, but all users(intermediate <strong>and</strong> final) must be able trace the analysis pathway of a particular metric from itssources to its final form. Key meta<strong>data</strong> components are included in the template (specific detailsbelow).Qualitative EvaluationIt is anticipated that many important metrics will have a limited <strong>data</strong> record. To overcome thislimitation <strong>and</strong> to facilitate additional analyses over the entire time period of <strong>data</strong> on <strong>Fraser</strong> <strong>River</strong><strong>sockeye</strong> stock productivity, we would like to have Contractors supply a qualitative <strong>data</strong> whichprovides estimates/ educated guesses for the entire time period. This would complement thequantitative <strong>data</strong> set.Contractors will be required to fill in a second, complete <strong>data</strong> set with qualitative assessments (5point scale) of the same integrative metrics over time. This is based on the expert experience ofeach contractor in their respective field. This qualitative assessment will also be collected basedon each contractor’s expert knowledge of their particular stressor outside of the <strong>Fraser</strong> system aswell.267

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