12.07.2015 Views

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

SHOW MORE
SHOW LESS
  • No tags were found...

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

more likely to suffer en-route <strong>and</strong> pre-spawning mortality mortality. The genomic signal detectedby Miller et al. was also present in smolts during both 2007 <strong>and</strong> 2008 (Miller, h<strong>and</strong>out providedto June 2010 PSC Workshop), yet those years of entry had very different marine survival rates(based on the very large difference in observed vs expected adult returns in 2009 vs. 2010). Asdiscussed by McKinnel et al. (2011) ocean conditions in Queen Charlotte Sound <strong>and</strong> the Gulf ofAlaska were much cooler in 2008 than in 2007. It may be that when ocean conditions are poor(as in 2007) disease contributes to mortality, but when ocean conditions are good (as in 2008) thefish survive despite carrying diseases.As noted by McKinnel et al (2011), biologists rarely observe death by natural causes of <strong>Fraser</strong><strong>River</strong> <strong>sockeye</strong> at sea. Therefore, unlike with autopsies of humans, we can generally only infer the<strong>cumulative</strong> causes of mortality through indirect evidence. Even with very detailed informationon the exposure of <strong>salmon</strong> to different stressors (e.g., Petrosky <strong>and</strong> Schaller 2010), it is difficultto draw strong conclusions on the relative contributions of each factor to observed patterns ofsurvival. Often there are multiple explanations that are generally consistent with the observed<strong>data</strong>.4.7.2 Quantitative analyses across the entire life cycleWe performed quantitative analyses across the entire life cycle from two different perspectives –by life history stage <strong>and</strong> by stressor category. An overview of our methodology is described inSection 3.3.6, a technical description of the methodology is presented in Appendix 3 (Section3.5.2), <strong>and</strong> the detailed results are reported in Appendix 4. In this section we provide anoverview of the results of our quantitative analyses <strong>and</strong> a broad discussion of the majorconclusions. First, we describe our analysis of the relative importance of different life stages inexplaining variation in <strong>sockeye</strong> productivity. Second, we describe our analysis of the relativeimportance of categories of potential stressors across all life stages, as organized by the CohenCommission Technical Reports.The Relative Importance of Different Life History StagesWe analyzed <strong>data</strong> across all projects <strong>and</strong> life stages that were available for brood years 1969-2001. This particular time period was the result of the trade-off between choosing a window ofanalysis short enough to include a wide selection of variables <strong>and</strong> long enough to generatemeaningful results with respect to the observed decline in the productivity of <strong>Fraser</strong> <strong>River</strong><strong>sockeye</strong> <strong>salmon</strong>. To assess the relative importance of each life history stage, multiple modelswere tested, each of which contained all of the available variables associated with a particularlife history stage (Table 4.7-2). The life history stages examined include: incubation <strong>and</strong>freshwater rearing, outmigration, coastal migration, ocean rearing, return to the <strong>Fraser</strong>, upstream91

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!