Τμήμα Ωκεανογραφίας και Θαλασσίων Βιοεπιστημών

Marine Biological Resources – Fisheries and Aquaculture
School:
Of the Environment
Academic Unit:
Department of Marine Sciences
Level of studies:
Postgraduate
Course Code:
Semester:
Β
Course Title:
Marine Biological Resources – Fisheries and Aquaculture
Independent Teaching Activities
Lectures and Lab
Weekly Teaching Hours
3
Credits
4
Course Type:
Special background
Prerequisite Courses:
Νο
Language of Instruction and Examinations:
Greek
Is the course offered to Erasmus students:
Νο

After the successful completion of the course, students should be able to:

  • Understand contemporary approaches of marine resources management
  • Understand basic concepts of fisheries biology and management
  • Know related national and European legislation
  • Know the most appropriate methods of monitoring for each of the main groups of marine species
  • Understand and apply the Ecosystem Approach to Fisheries Management, Systematic Conservation Planning, and Maritime Spatial Planning
  • Communicate and disseminate the results of scientific studies and present them in public
  • Search for, analysis and synthesis of data and information, with the use of the necessary technology
  • Working independently
  • Sampling design and project management
  • Respect for the natural environment
  • Production of creative and inductive thinking

The course includes the following topics:

  • Introduction to fisheries biology and management – basic principles
  • Fishing gears – national and European legislation
  • Fisheries acoustics
  • Bioacoustics
  • Case studies of research and management of vulnerable biological resources
  • Classic methods in stock assessment
  • Non-fisheries based monitoring methods
  • Monitoring and conservation of biological resources in Natura 2000 areas
  • Aquaculture and aquaculture planning
  • Marine Protected Areas and Maritime Spatial Planning
  • Climate change
  • Impacts of fisheries – Ecosystem approach in fisheries management

Face-to-face and Distance learning

  • PC lab on the use of special software (MARXAN, Octave, Raven Lite)
  • Use of ICT in teaching (PowerPoint presentations)
  • Communication with the students through the online platform eclass
  • Uploading of lecture slides and other educational material on eclass
  • Distance learning through teleconference
  • Video recording of lectures and possibility of asynchronous learning
Activity Semester workload
Lectures
30
Laboratory exercises
6
Homework
30
Independent study
40
Presentation of the project
10
Final exam
3
Course total
119
  • Lab exercises contribute to the final mark by 60%, The criteria for evaluation are: methological sufficiency 50%, correctness of results 30%, quality of report: 20%
  • Writing a summary of a scientific article and its public presentation contributes 20% to the final mark. The criteria for evaluation are: quality of the presentation 25%, content of the presentation 25%, implementation of guidelines 25%, content of the summary 25%.
  • The final exam contributes to the final mark by 60% – it consists of multiple choice questions.
  • Students with learning difficulties are tested orally
  • Language of evaluation: Greek

Suggested bibliography:

  • King, M. 2007: Fisheries Biology, assessment and management, 2nd edition, August 2007, Wiley-Blackwell
  • Simmonds, J., MacLennan, D. 2005. Fisheries Acoustics, 2nd edn. Chapman & Hall, London.
  • Partnership for Interdisciplinary Studies of Coastal Oceans and University of Nice Sophia Antipolis. 2016. The Science of Marine Protected Areas (3rd edition, Mediterranean). www.piscoweb.org. 22 pages.
  • IPCC, 2014: Climate Change 2014: Synthesis Report. Contribution of Working Groups I, II and III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change [Core Writing Team, R.K. Pachauri and L.A. Meyer (eds.)]. IPCC, Geneva, Switzerland, 151 pp.
  • Katsanevakis S, Issaris, Kolovogiannis V, 2016. Applied Marine Ecology: Ecological Monitoring. Department of Marine Sciences, University of the Aegean [in greek]
  • Katsanevakis S, Weber A, Pipitone C, Leopold M, Cronin M, Scheidat M, Doyle TK, Buhl-Mortensen L, Buhl-Mortensen P, D’Anna G, de Boois I, Dalpadado P, Damalas D, Fiorentino F, Garofalo G, Maximiliano Giacalone VM, Hawley KL, Issaris Y, Jansen J, Knight CM, Knittweis L, Kroncke I, Mirto S, Muxika I, Reiss H, Skjoldal HR, Voge S, 2012. Monitoring marine populations and communities: review of methods and tools dealing with imperfect detectability. Aquatic Biology 16: 31-52.