Fraser River sockeye salmon: data synthesis and cumulative impacts

Table A3.5-1. Complete summary of analytical approaches considered, recommended priorities, and current status. For approaches applied in this project,detailed methods are provided in this section.Approach Reasoning Priority/Timing StatusConceptual ModelProvides a central framework to link both the qualitative High/Early Completesummary and quantitative analyses.Change-point analysesCorrelation analyses /Principal components analysis(PCA)Multiple RegressionProvides an objective stock specific assessment of changesin trends over time (assuming the model is appropriate).May be able to identify stock groupings with similar patternsof change. This analysis was completed early in the projectas these data were available early.These methods inform data reduction strategies that shouldbe completed prior to the multiple regression analysis. Inaddition, they may provide insights into relationships amongindependent variables.Multiple regression is the best tool we have for addressingthe primary objective of this analysis (i.e., understanding thecumulative and relative impact of all of the stressors).High/EarlyHigh/requiresall contractordataHigh/ requiresall contractordataCompleteCompleteInitial analysescomplete, Muchmore could bedoneBayesian Belief NetworksCluster analysisDiscriminant analysis orlogistic regressionMantel’s i testAttenuation analysesRandomization testsPath analysesStructural Equation ModelingA BBN could be developed from the conceptual model(Figure 3.3-1) to improve our understanding of thecumulative impacts, interactions, and relative effects ofstressors across all projects.Each of these approaches was evaluated and rejected for atleast one of the evaluation criteria identified above.RecommendedNotrecommendedat this timeBeyond scope ofthis projectNot Applicable203