Quick link to: EFIMAS home, WP4, CS3

Case Study 3, Approach 7, Analysis of the role of genetic stock identification in stock assessment

Objective

The aim of approach 7 is to analyse the role of genetic stock identification in stock assessment. Present assessment of the exploitation rates of the wild Baltic salmon stocks relies on external tagging data (Carlin). Genetic stock mixture analyses (SMA) provide alternative data that could potentially reduce the uncertainty related to the estimates of exploitation rates and the surviving wild spawner abundances.

Results

The preliminary analyses (months 1-18) regarding approach 7 confirmed the potential benefits of SMA-data (Michielsens et al. 2004), and the assessment model has been enhanced to allow the inclusion of the SMA data. However, so far these data have so far not been used in the assessment, partly due to new concerns about the uncertainties related to the genetic base-line sampling. In EFIMAS, no further analyses will be performed regarding this approach. The following report has been written:

Michielsens, C., Koljonen, M-L. and Mäntyniemi, S. (2004). The use of genetic stock identification results for the assessment of wild Baltic salmon stocks. Proceedings of the ICES Annual Science Conference, Vigo.
Abstract: Current assessment of the exploitation rates of wild Baltic salmon stocks is based on external tagging data. Tagging data of wild Baltic salmon is however limited and is geographically biased to two rivers located in the north-eastern rim of the Gulf of Bothnia. The current paper examines the use of genetic stock identification results within the probabilistic stock assessment of wild Baltic salmon stocks. Genetic stock identification results contain similar information as external tagging data. In combination with external tags, results from genetic mixed stock analyses (MSA) improve the estimation of the exploitation rate of wild Baltic salmon and the surviving wild spawner abundance by providing additional information and reducing the uncertainty of the estimates. The main uncertainties when using genetic stock proportion estimates stem from the uncertainty in the representativeness of the catch sample to be used for genetic stock proportion estimation to the total salmon catch of the different fisheries.

Dissemination and References

Michielsens, C., Koljonen, M-L. and Mäntyniemi, S. (2004). The use of genetic stock identification results for the assessment of wild Baltic salmon stocks. Proceedings of the ICES Annual Science Conference, Vigo.

 
efimas1/wp4/cs3/appr7/main.txt · Last modified: 2008/11/16 00:39 by admin
 
Except where otherwise noted, content on this wiki is licensed under the following license:CC Attribution-Noncommercial-Share Alike 3.0 Unported
Recent changes RSS feed Donate Powered by PHP Valid XHTML 1.0 Valid CSS Driven by DokuWiki