Record Details
Use of Genetic Stock Identification Data for Comparison of the Ocean Spatial Distribution, Size at Age, and Fishery Exposure of an Untagged Stock and Its Indicator: California Coastal versus Klamath River Chinook Salmon
ScholarsArchive at Oregon State University
| Field | Value |
|---|---|
| Title | Use of Genetic Stock Identification Data for Comparison of the Ocean Spatial Distribution, Size at Age, and Fishery Exposure of an Untagged Stock and Its Indicator: California Coastal versus Klamath River Chinook Salmon |
| Names |
Satterthwaite, William H.
(creator) Mohr, Michael S. (creator) O'Farrell, Michael R. (creator) Anderson, Eric C. (creator) Banks, Michael A. (creator) Bates, Sarah J. (creator) Bellinger, M. Renee (creator) Borgerson, Lisa A. (creator) Crandall, Eric D. (creator) Garza, John Carlos (creator) Kormos, Brett J. (creator) Lawson, Peter W. (creator) Palmer-Zwahlen, Melodie L. (creator) |
| Date Issued | 2014-01-01 (iso8601) |
| Note | To the best of our knowledge, one or more authors of this paper were federal employees when contributing to this work. This is the publisher’s final pdf. The article is copyrighted by the American Fisheries Society and published by Taylor & Francis. It can be found at: http://www.tandfonline.com/toc/utaf20/current#.UzNNkfPn-Hs. |
| Abstract | Managing weak stocks in mixed-stock fisheries often relies on proxies derived from data-rich indicator stocks, although there have been limited tests of the appropriateness of such proxies. For example, full cohort reconstruction of tagged Klamath River fall-run Chinook Salmon Oncorhynchus tshawytscha of northern California enables the use of detailed models to inform management. Information gained from this stock is also used in the management of the untagged, threatened California Coastal Chinook Salmon (CCC) stock, where it is assumed that a cap on Klamath harvest rates effectively constrains impacts on CCC to acceptable levels. To evaluate use of this proxy, we used a novel approach based on genetic stock identification (GSI) data to compare the two stocks’ size at age and ocean distribution (as inferred from spatial variation in CPUE), two key factors influencing fishery exposure. We developed broadly applicable methods to account for both sampling and genetic assignment uncertainty in estimating total stock-specific catch from GSI data, and propagated this uncertainty into models quantifying variation in CPUE across space and time. We found that, in 2010, the stocks were similar in size at age early in the year (age 3 and age 4), but CCC fish were larger later in the year. The stocks appeared similarly distributed early in the year (2010) but more concentrated near their respective source rivers later in the year (2010 and 2011). If these results are representative, relative fishery impacts on the two stocks might scale similarly early in the year, but management changes later in the year could have differing impacts on the two stocks. This novel modeling approach is suited to evaluating the concordance between other data-limited stocks and their proxies, and can be broadly applied to estimate stock-specific harvest, and the uncertainty therein, using GSI in other systems. |
| Genre | Article |
| Identifier | Satterthwaite, W. H., Mohr, M. S., O’Farrell, M. R., Anderson, E. C., Banks, M. A., Bates, S. J., ... & Palmer-Zwahlen, M. L. (2014). Use of Genetic Stock Identification Data for Comparison of the Ocean Spatial Distribution, Size at Age, and Fishery Exposure of an Untagged Stock and Its Indicator: California Coastal versus Klamath River Chinook Salmon. Transactions of the American Fisheries Society, 143(1), 117-133. doi:10.1080/00028487.2013.837096 |
