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FISH 510

Bayesian Decision Analysis for Fisheries Management

FISH 510 Credits: 3

Exploring the use of Bayesian decision analysis as a quantitative technique with which to inform decision makers about the extent to which alternative decision options may enable them to achieve their objectives, taking into account available information and uncertainty over factors that affect the outcomes of interest. Students will learn about the conceptual framework for Bayesian decision analysis, attitudes to risk and uncertainty, risk averse and other types of utility functions, minimax and maximin regret and other types of decision making criteria, the concept of expected value of perfect information, different approaches to assigning probabilities to alternative hypotheses, including Bayesian statistical methods, different software options for Bayesian decision analysis calculations, approaches to communicating results obtained from Bayesian decision analysis, the roles of decision analysis results in the making of decisions, and the advantages and limitations of Bayesian decision analysis as an approach to facilitate the use of science in resource management and policy decision making.

Murdoch McAllister
Not offered in 2023/24

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Section Activity Term Days Times Instructors

FISH 509

Bayesian Methods for Fisheries Stock Assessment

FISH 509 Credits: 3

An introduction to Bayesian data analysis and statistical modeling methods that are commonly utilized in fisheries stock assessment. Methods covered include approaches that have been applied in fisheries stock assessment to formulate priors, grid-based, importance sampling, and Markov Chain Monte Carlo Methods for integration of posterior distributions for fisheries model parameters, introduction to WinBUGS software for fisheries modeling, diagnostics to assess convergence and goodness of fit, methods to compute Bayes’ posteriors (or factors) for alternative fisheries models, fisheries hierarchical models, and Bayesian mark-recapture methods and state-space population dynamics models for fish stock assessment. Minimal entry requirement: first year undergraduate calculus and FISH 504.

Murdoch McAllister

Section (2)

Section Activity Term Days Times Instructors

FISH 508

Fisheries Economics and Management

FISH 508 Credits: 3

The course covers the bioeconomic theory of fisheries, game-theoretic approaches to the management of shared resources, and topical issues in fisheries economics and management. The course begins with a discussion of environmental and natural resource economics and how fisheries economics fits into the general picture. This is followed by a discussion of the theory underlying fisheries economics. Bioeconomic theory of fisheries will be presented using simple models. These models will be used to introduce fundamental economic results, such as the importance of cost relationships and the consequences of open access. Fisheries regulations will be an integral part of the course. Regulatory regimes such as taxes, quotas (including ITQs) and marine protected areas will be discussed.

Rashid Sumaila
Not offered in 2023/24

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FISH 506E

A History of Fisheries

FISH 506E Credits: 3

This multi-disciplinary course examines the history of human fishing from ancient times in order to understand its impacts on natural ecosystems, biodiversity and human communities, drawing lessons for sustainability and future development. Focused on the development of fishing technology, the course is illustrated with many examples and case studies world-wide, and includes a historical review of BC fisheries. Some prior knowledge of fisheries and fishing gear (such as covered in FISH 520) will be useful and as part of the study of the origins of fishing technology, students may learn how to make a net (this will depend on help from Joe Bauer).

Tony Pitcher
Not offered in 2023/24

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FISH 506F / ANTH 461

Traditional Ecological Knowledge in Fisheries Management – Current Topics in Fisheries

FISH 506F / ANTH 461 Credits: 3

This course will focus on the role of traditional & local ecological knowledge in environmental assessment processes and in the development of resource management plans. Natural resource management approaches have long been critiqued for highlighting bio-economic features over cultural and social aspects of the human/environmental interface. Practitioners have come a long way over the past several decades and are now open to incorporating local systems of knowledge into management plans. The difficulty is how to do this.

Charles Menzies
Not offered in 2023/24

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Section Activity Term Days Times Instructors

FISH 506G / SPPG 544

Economic Foundations of Environmental Policies

FISH 506G / SPPG 544 Credits: 3

Environmental and natural resource economics: externalities, property rights, public goods, market failure, inter-generational trade-offs, and optimal extraction of biological and depletable resources. Environmental regulation, industrial competitiveness, and distribution of income and welfare.

Rashid Sumaila

Sections (1)

Section Activity Term Days Times Instructors

FISH 506H / STAT 547N

Statistics in Ecology and Marine Sciences

FISH 506H / STAT 547N Credits: 1.5

Data in ecology and marine sciences are frequently associated with large challenges. This class will introduce some of the challenges of using statistics to answer questions in ecology and marine sciences and the statistical tools developed to handle them. This course is a statistics class for graduate students in the Department of Statistics (STAT) and the Ocean and Fisheries Graduate program (OCF). This class is intended for students with good statistics background and some familiarity with R. The class is not recommended for students with little experience analyzing data and those with limited R programming skills.

Marie Auger-Méthé
Not offered in 2023/24

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FISH 506I

Co-Creating Aquatic Science

FISH 506I Credits: 3

This course, co-created with members of the Haida Nation, will train and empower the next generation of researchers seeking to co-create science for the betterment of aquatic systems. Co-Creating Aquatic Science is an interdisciplinary, multi-generational, and profoundly relational course. This course is presented ONLINE, with an in-person gathering. Enrolment in this course is selective, and class size is small.

Andrea Reid

Section (2)

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FISH 506J

Managing nature: the case of fisheries

FISH 506J Credits: 3

Course will be taught online, with part of the audience at UBC and part at Paris-Dauphine. It is projected that available technology will allow 7 sessions to be held in-person at UBC, with the Dauphine audience attending remotely, and 7 sessions to be held in-person at Dauphine, with the UBC audience attending remotely. If technology fails, 12 sessions will be held remotely at both sides, and 2 sessions will be held, in-person and separately, at each site.

Rashid Sumaila and Ivar Ekeland (Dauphine)

Section (2)

Section Activity Term Days Times Instructors