This course provides introduction, demonstration, and exercises in population modelling as applied to fishery resources.
The general objective of the course is to train scientists in basic population dynamics and stock assessment. The course not only presents the theoretical elements but also puts theory into practice through case studies and hands-on exercises.
Specific objectives are:
- understanding the role of stock assessment in fishery science
- familiarity with conventional stock assessment models
- 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
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.
Requirements for attending
Participants should have basic knowledge of R and Excel.
Deadline for registration: 4 September 2023.