An introduction to current practice of fisheries science and population biology in aquatic systems.
The aim of this course is to assist students in developing a broad understanding of fisheries ecology and population biology of exploited species. In particular students will develop an understanding of the evolutionary origins of fish, life history strategies, ecology, population biology and management of exploited species. Students will develop a working knowledge of approaches to management of exploited species. The course aims to help develop an appreciation of the interaction between science and management, and the role of science in decision-making. To this end many of the practical exercises will be "problem focused" and use local case studies to highlight how information on fish can be used. Particular attention will be given to fisheries at the ecosystem scale and the growing need for conservation in these systems.
About this paper
|Aquaculture and Fisheries
|Semester 1 (On campus)
|Domestic Tuition Fees ( NZD )
|International Tuition Fees
|Tuition Fees for international students are elsewhere on this website.
- 36 points from AQFI 251, MARI 202, STAT 210, ZOOL 221
- AQFI 252, MARI 425
- Schedule C
- Teaching staff
Course Co-ordinator: Professor Stephen Wing
- Teaching Arrangements
Textbooks are not required for this paper.
- Graduate Attributes Emphasised
- Global perspective, Interdisciplinary perspective, Lifelong learning, Scholarship, Communication, Critical thinking, Cultural understanding, Ethics, Environmental literacy, Information literacy, Research, Self-motivation.
View more information about Otago's graduate attributes.
- Learning Outcomes
- Students will develop:
- An understanding of the evolutionary origins of fish, life history strategies, ecology and population biology of exploited species
- A working knowledge of methods for quantifying vital rates of populations, and approaches to management of exploited species
- An appreciation of the interaction between science and management, and the role of science in decision-making