THIS COURSE HAS BEEN CANCELLED!
PhD students, with background in marine biology/ecology/conservation in the same topic
Also suitable for last-year Bachelor/Master students but preference will be given to PhD students.
After completing the course, doctoral candidates will be familiar with the subject area of the course
To be completed at any time during doctoral studies.
The modelling of marine ecosystems is nowadays considered an essential tool for scientists to understand and predict marine ecosystem dynamics, and is largely used by policy-makers to make recommendations and decisions. The course follows a step-by-step approach to the increasing complexity in models, allowing the student to explore the theoretical framework and become familiar with the models even when they have limited experience in mathematical modeling but a good knowledge of marine food webs. It provide the students with basic concepts and tools to construct simple to more complex marine biogeochemical models. Eventually, the student will receive enough background information to continue on their own after the course.
twice a week, 6 hours per week, totally 18 hours (8 hourse lecture = 10 hours group practicals)
1. Introduction to the course and basic modelling concepts (lecture)
2.-3. Basics of Matlab/Python (lecture + individual hands-on)
4. More basic modelling concepts (lecture)
5.-6. More Matlab/Python, basic operations (lecture + individual hands-on)
7. A simple N(Nutrient)P(Phytoplankton)D(Detritus) model (lecture)
8.-9. Writing a simple NPD model (group hands-on)
10. Adding predation: a simple NPZD model (lecture)
11.-12 Writing a simple NPDZ model (group hands-on)
13.Modelling eutrophication/competition, a simple approach (lecture)
14.-15. Writing a simple eutrophication/competition experiment (group hands-on)
16. Course, RECAP (lecture)
17.-18 Presenting your model, in small groups/pairs (final assignment)
Fennel & Neumann, 2014, Introduction to the modelling of marine ecosystem, Elsevier and teacher’s materials
Full attendance and participation in the course is required.
Software: Matlab/Python, no previous knowledge required
Letizia Tedesco, PhD
Senior Research Scientist / Adj. Prof. in Aquatic Sciences
Finnish Environment Institute (SYKE)
Required knowledge: marine ecology/biology/biological oceanography