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University of Alaska Fairbanks, School of Fisheries and Ocean Sciences Science Master's Program
(SMP) in Sustainable Ecosystem-Based Management of Living Marine Resources (SELMR)

Required Courses

SELMR trainees are expected to enter with a background in calculus, introductory statistics, and ichthyology or invertebrate zoology. The program begins with a three-week integrative course: Social Oceanographic, and Ecological Perspectives in Marine Ecosystems. Trainees will then complete a common core of coursework in Human Dimensions, Bioeconomics, Population Dynamics, Marine Ecosystems or Fisheries Oceanography, and Statistics. With exception of the three-week integrative course, all course requirements are designed so that they can be completed via two-way video-conference with instructors based in Fairbanks and Juneau.

  1. Social Oceanographic, and Ecological Perspectives in Marine Ecosystems (FISH 693) (3 cr)
    This theme-based course exposes students to how different disciplinary perspectives contribute to conceptualization and design of management and governance systems to foster sustainable ecosystem-based management of living marine resources. Workshops and discussions in communication, scientific ethics, group dynamics, and conflict resolution are held in the evenings. This course is taught by Eckert (marine ecology), Seitz (fisheries ecology and conservation), Criddle (marine policy & economics), Weingartner (oceanography), Mueter (fisheries ecology and management), and Murray (fisheries anthropology). (August 7-27, 2011 in Seward.)

  2. Human Dimensions of Environmental Systems (FISH 411) (3 cr).
    Study of human environment relationships and applications to resource management. Draws on a range of social scientific approaches to the study of environmental systems, including: environmental anthropology, environmental history, historical ecology, political ecology, ethnoecology, property theory, and environmental justice. Taught by Carothers. (Fall 2011)


    Traditional Ecological Knowledge (CCS 612) (3 cr)
    Students examine ways in which traditional and local ecological knowledge is acquired and utilized in indigenous and local community contexts; explore the potential for application of traditional ecological knowledge to expand our understanding of contemporary issues, locally and globally; examine the epistemological structures typically associated with traditional ecological knowledge; examine the relationship between traditional ecological knowledge and the knowledge associated with Western academic disciplines; and review various reports and documents illustrating the use of traditional ecological knowledge in addressing contemporary problems. Taught by Koskey. (Sp 2011)

  3. Bioeconomic Modeling and Fisheries Management (FISH 694) (3 cr)
    An introduction to analytic and computational models of discrete-time representations of bioeconomic systems, including comparative static and optimal control perspectives of optimizing for unitary and multiple criteria subject to deterministic and stochastic processes. Particular attention will be given to models of exploited populations of fish and shellfish. Taught by Criddle. (Sp 2011)

  4. Fisheries Population Dynamics (FISH 421) (4 cr)
    Review and analysis of the major quantitative techniques available for assessing and predicting the status of fish populations. Demonstration and use of field and laboratory techniques and model verification; examples and case histories. Taught by Adkison. (Fall 2011)


    Estimation of Fish Abundance (FISH F621) (3 cr)
    Estimation of abundance of fish and other aquatic populations, using mark-recapture, line-transect, catch-effort and change-in-ratio techniques. Computer lab work and homework from actual and simulated populations. Taught by Quinn II. (Fall 2011)


    Quantitative Fish Population Dynamics II (FISH F622) (3 cr)
    Modeling fish population mortality, recruitment individual growth and fecundity. Models and assessment techniques for age- and length-structured populations. Biological reference points and management strategies derived from population and harvesting parameters. Computer lab work and homework with data from actual and simulated populations. Taught by Quinn II. (Sp 2011)

  5. Marine Ecosystems (MSL 652) (3 cr)
    This course is a synthesis of ecological processes that support the structure and functioning of marine ecosystems. Fundamentals of how populations interact with each other and their environment are reviewed. The mechanisms for maintaining marine communities and ecosystems over space and time are evaluated. The course considers principles of biogeography, ecological gradients, and biomes, as well as case studies for a few of the world's LMEs, with an emphasis on the Arctic, Bering Sea, GOA, Southern Ocean, and the world's major upwelling systems. Team-taught by Eckert and Kruse. (Fall 2011)


    Fisheries Oceanography (MSL 640) (4 cr)
    Oceanography of marine processes affecting commercially important fisheries (finfish and shellfish). Interactions between fisheries resources and physical, biological, geological and chemical oceanography, as well as climatological, and meteorological conditions. Topics include recruitment, transport, natural mortality, predator-prey relationships, competition, distribution and abundance. Emphasis is on early life history of fishes. Applications to world's commercial fisheries are cited. Taught by Norcross. (Fall 2011)

  6. Innovative Approaches to Marine Ecosystems (IAME) (1 cr)
    This seminar will reinforce an integrative perspective through exploring different dimensions of marine ecosystem sustainability. Students will be tasked with picking topics at the beginning of the semester, and will select the dimensions to be explored in each week through facilitated discussion of published articles or through presentations by invited speakers. This course is a key activity to integrate students from different disciplines to work together on a common problem. Team-taught by Criddle and Hills. (Sp 2011)

  7. Regression and Analysis of Variance (STAT 401) (4 cr).
    Thorough study of multiple regression including multiple and partial correlation, the extra sum of squares principle, indicator variables, polynomial models, model selection techniques and assessment of underlying assumptions. Analysis of variance and covariance for multifactor studies in completely random and randomized complete block designs, multiple comparisons and orthogonal contrasts. Matrix concepts for linear models are taught as needed. (Fall 2011)

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©2010 SELMR | contact | Modified  12 January 2011.