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Høst 2023

BIO-3516 Food-webs and fisheries - 10 stp


The course is administrated by

Institutt for arktisk og marin biologi

Type of course

Master course for biology students and master students in fishery science.

The course is available as a singular course


Course overlap

F-231 Biological basis of fisheries 10 ects

Course contents

The course deals with how food-web models can be used to analyse topics of interest for fishery and ecosystem management. Lessons will give an overview of approaches and models used in fisheries and ecosystem management with emphasis on multispecies models. Local, regional and global perspectives on model strategies will be presented. We will describe principles regarding ecosystem services, harvesting strategies and resilience of ecosystems. In the course, we will use a food-web model system, Ecopath with Ecosim and Ecospace (EwE) and present the model principles. The students will learn guidance principles on how to incorporate information on input data and parameters to EwE, as well as principles for parameterising dynamic models and how to analyse and report uncertainty.

In data lab exercises, we will apply hands-on training and construct food-web models. Annual average "Snap-shot" Ecopath models will be converted to dynamic models and forced by biological and physical variables (e.g., primary production, temperature and fishing mortality). Exercises also include using a spatial module, Ecospace, targeting analysis of spatial effects of management actions such as marine protected areas.

In a supervised term paper project, a quantitative objective including fisheries and management aspects will be analysed using a model ending with a written report and an oral discussion.


Admission requirements

Local admission, application code 9371 - Master's level singular course.

Admission requires a Bachelor`s degree (180 ECTS) or equivalent qualification, with a major in biology of minimum 80 ECTS.


Objective of the course

Knowledge:

Skills:

General competence:


Language of instruction

English.

Teaching methods

Lectures, data laboratory, seminar, writing term paper under supervision, oral presentation with feedback, self-studies.