Graduate Thesis Or Dissertation
 

The distribution and aggregation of Chinook salmon stocks on the Oregon Shelf as indicated by the commercial catch and genetics

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https://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/zs25xb536

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  • Project CROOS, Collaborative Research on Oregon Ocean Salmon, is a unique partnership of scientists and commercial fishermen that combines catch location data with stock assignments obtained from genetic micro-satellite analysis to investigate the distribution of Oregon Chinook across multiple spatial scales. Using catch data collected by collaborating Oregon troll fishermen, we investigated the distribution of individual populations of Chinook salmon along the nearshore regions of the Oregon Coast. The study focused on two distinct spatial scales: 1) the coast-wide, latitudinal distribution of the 13 most abundant stocks that contributed to the Oregon catch in 2007, and 2) stock-based patterns of Chinook aggregation on spatial scales as low as tens to hundreds of meters. The description of spatial distribution was performed over time periods as short as two days and in season-long summaries. Based on 2007 catch data, we report three separate patterns in the coastal distribution of Oregon-caught Chinook. Stocks from the Sacramento River, Mid-Oregon Coast and Upper Columbia basin were distributed coast-wide in the Oregon catch. Chinook salmon that originated from northern California and southern Oregon were found to be more abundant south of 44° North – the approximate latitude of the coastal town of Florence, Oregon. Stocks from the north Oregon coast and the lower Columbia basin were primarily taken north of 44° North. We describe in-season and annual changes in the relative contribution of discrete stocks and in the age-structure of these stocks. Using distance-based metrics compared to random permutations, we found evidence from the ocean catch that Chinook salmon were sometimes closely proximate to river cohorts at sea. However, these discreet stocks were generally intermingled with other stocks in mixed-stock aggregations.
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