Training courses

Stock Assessment (Introduction)

This course provides instruction, demonstration, and exercises in population modelling as applied to fishery resources

27-31 May 2013
Centro Oceanográfico de Vigo, Spain
Application deadline: 5 April 2013
(course now fully booked)

Objective:

The general objective of the course is to train stock-assessment scientists and advisors in basic population dynamics and stock assessment. The course is intended not only to present the theoretical elements but also to guide participants in putting theory into practice through case studies and hands-on exercises on the computer. Specific objectives are
1 ) understanding the role of stock assessment in fishery science;
2 ) familiarity with conventional stock assessment models;
3 ) experience in basic model building and parameter estimation.

By the end of the course, the participants will
• be aware of single species assessment methods as applied to North Atlantic fisheries;
• understand the data-collection needs for different assessment methods;
• be familiar with indicators and reference points, both biological and economic, as tools in fishery management;
• develop knowledge of population and fishery processes by using simulation models to improve scientific advice for managers. 

Level:

The course provides a conceptual understanding, supported by quantitative applications that are designed to illustrate model properties. Advanced topics and programming skills will be introduced in preparation for more advanced ICES courses or to approach the same topics through self-learning.

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​Instructors:

Steve Cadrin
University of Massachusetts (UMASS)
Department of Fisheries Oceanography
School for Marine Science & Technology , USA

Iago Mosqueira
European Commission – Joint Research Center, Institute for the Protection and Security of the Citizen (IPSC)
Maritime Affairs Unit – FISHREG, Italy

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Stock Assessment (Introduction)

International Council for the Exploration of the Sea (ICES) · Conseil International pour l'Exploration de la Mer (CIEM)
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