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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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survey <strong>data</strong>, but they were looking for herring, not <strong>sockeye</strong>. There is disparate informationbut we can put it on a map to show how they use the environment <strong>and</strong> how that changes <strong>and</strong>overlay it with other information <strong>and</strong> see what associations there are.Routledge: Michael Price’s sampling information may be useful.Marmorek: On Day One, the Kalman filter analysis showed the pattern was at a largergeographic scale, so how likely is it that Lower <strong>Fraser</strong> habitats are what’s driving the longtermdecline?Johannes: I don’t know. The <strong>data</strong> don’t show how they stop <strong>and</strong> start. Some years they barrelthrough <strong>and</strong> other years they dally around Malaspina <strong>and</strong> Texada. We couldn’t pull apart thecharacteristics by stock but there may be a tie in between what they hit in Queen CharlotteSound – if they find unfavourable conditions there. In other circumstances, they split alongthe two sides of Georgia Strait <strong>and</strong> slow down.Pickard: What <strong>data</strong> indicate the speed at which they travel in Georgia Strait.Johannes: Seine catches (1960s to 2003 catch <strong>data</strong>), June sampling <strong>data</strong> for herring <strong>and</strong> somePOST tagging studies.Pickard: Regarding the northern boundaries, it would seem sensible to include the area with thefish farms.Johannes: I will make clear what information exists <strong>and</strong> doesn’t exist on habitat use <strong>and</strong> how itchanges annually.Marmorek: How does this study relate to the fish farm chapter?Levy: This project needs to be clearly separated from #5.Adult river migration <strong>and</strong> spawning successEn route mortality, pre-spawn mortality <strong>and</strong> intergenerational effectsScott HinchFactors examined for this study were among-year <strong>and</strong> among-stock patterns <strong>and</strong> theirrelationship with spawner abundance <strong>and</strong> spawning success.Definitions: En route loss is defined as the difference between Mission <strong>and</strong> spawning groundescapement estimates, after accounting for in-river harvest (it includes unreported catch). Prespawnmortality is the percent unsuccessful egg deposition by female spawners.En route loss can be large relative to harvest <strong>and</strong> escapement <strong>and</strong> has been very important inrecent years. Prior to 1992 it was rarely shown, which was partly due to the way the <strong>data</strong> werecollected. It has been very high in recent years for Early Stuart. Early Summers show the samepattern of increasing en route losses, though the proportions are lower. Late runs show very largeen route losses, starting suddenly after the mid-1990s.DNA analysis can now be used to assign in-river migration mortalities to specific stocks. Nine of12 <strong>Fraser</strong> <strong>sockeye</strong> stocks had high en route mortality (over 50%) in most recent years, with theearly <strong>and</strong> late stocks suffering the worst <strong>impacts</strong>.61

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