MAR 530: Ecosystem-Based Fisheries Management
This course highlights the theory, challenges, and approaches for implementing ecosystem-based fisheries management (EBFM). The course examines the history and background of fisheries management, leading to why more holistic approaches are being considered. A series of operational methods being used to implement EBFM, emphasizing technical efforts and models, are reviewed. The role of institutional structures and societal considerations in decision-making are explored to identify situations where EBFM can be successful.
(Spring semester, every other year, 2019 syllabus)
Next offered: Spring 2021
MAR 536: Biological Statistics II
Student-led learning in statistical analysis of ecological data. This course provides guided learning in advanced statistical analysis, as applied to ecological research and other fields of marine science. Advanced concepts in probability, hypothesis testing, and estimation will be presented by students, including analyses of example data sets and problems. Students will be required to learn selected methods independently, present topics to the class that are relevant to their graduate research and complete a class project. A computer lab, focused on introductory and intermediate programming and analysis using R, will be held for the first half of the semester. (Spring semester, alternate years with MAR530, 2020 syllabus)
Next offered: Spring 2022
MAR 599/522: Science Communication for Research Scientists: delivering effective messages to diverse audiences
Practice and development of skills for communicating scientific research to a diverse set of audiences is important for applications to fisheries management and policy. This course is for students in the sciences and focuses on the importance of defining the ‘so what’ of research and adapting messaging to specific audiences, using storytelling techniques to produce compelling presentations of scientific research. Drawing on communication case studies and their own academic interests as context, students practice delivering their message effectively for different audiences, including defining goals, identifying main points, explaining meaning and context, responding to questions, and using multimedia elements. Students develop and apply skills for communicating their research to scientific peers, the management community, stakeholders, and the general public. In-class activities and assignments emphasize presentation skills, writing, reflection, and constructive criticism through peer-review of classmates’ work. The role of the review process for how best available science is incorporated into policy and decision-making in the context of fisheries management is used as a case study during the course. Topics and activities have relevance for many disciplines at the science-management-policy interface. (Fall semester, 2020 syllabus)
Next offered: Fall 2020
MAR 595: Bayesian Statistics and Hierarchical Modeling for Ecology
Independent study in Bayesian statistics and hierarchical modeling with an emphasis on mathematical statistics. Bayesian modeling has become an indispensable tool for ecological research. This course provides an overview of the principles of Bayesian statistics and concepts. Students will work through the recent textbook by Hobbs & Hooten (2015) with additional supplementary reading from the literature. A set of problems in the textbook are worked through using multiple methods, including writing out properly factored statistical expressions representing the Bayesian models, and implementation of models using current state-of-the art algorithms and software. Advanced topics in Bayesian methods will also be covered. Weekly meetings are used to review chapter readings, discuss additional key papers on weekly topics, and work through problems as a group. (Fall semester, alternate years with Advanced Population Modeling, 2018 syllabus)
Next offered: Fall 2020
MAR 580: Advanced Population Modeling for Management of Living Marine Resources
This course provides instruction, demonstration and exercises in advanced population modeling, as applied to fishery resources. A wide range of stock assessment methods will be developed through statistical programming to fit increasingly complex models to fishery data through estimation of parameters and their variance. Programming software, including Template Model Builder, will be used for class assignments. The course is designed to train students to “have the ability to conduct high-quality scientific research in stock assessment, fishery population dynamics and related fields” (U.S. Dept. Commerce and U.S. Dept. Education 2008 NOAA Tech. Mem. NMFS-F/SPO-91). (Fall semester, alternate years with Bayesian Statistics, 2019 syllabus)
Next offered: Fall 2021
MAR 580: Models for Marine Ecosystem-Based Management
This course provides instruction, demonstration, and exercises in quantitative modeling tools used for Ecosystem Based Management (EBM) of living marine resources. There is an increasing need for fisheries and wildlife professionals to provide scientific advice for management in an ecosystem context. Part 1 of the course will provide students with hands on experience applying fisheries stock assessment and population models that include ecosystem effects, and consider the policy implications of including this information. Part 2 of the course will focus on broader multiple-use and human dimensions and include economic and behavioral models and models for marine spatial planning. The final section of the course will introduce whole-of-ecosystem models and demonstrate how these can be used to provide strategic advice for marine management and consider a broad suite of objectives. Although the examples used will be in a marine context, the types of models and methods discussed in the course have application in other systems. (Spring semester, 2016 syllabus)
MAR 700-02: Graduate Seminar, Fisheries Oceanography
Weekly departmental seminar series.
(GF organized Spring 2015, Fall 2016, Spring 2018, Fall 2020)
Schedule for Spring 2018.
Poster for Fall 2015 schedule.
Poster for Spring 2015 schedule.
Links to video recordings of talks.