Gavin Fay

faculty

Gavin Fay

Associate Professor

SMAST / Fisheries Oceanography

Fisheries & Ecosystem Management Lab Website

508-910-6363

hgbzAvnbtte/fev

School for Marine Science & Technology East, New Bedford 228

Education

2000University of StirlingB.Sc.
2004University of WashingtonM.S.
2012University of WashingtonPh.D

Teaching

Programs

Teaching

Courses

Practice and development of skills for communicating scientific research to a diverse set of audiences. This course is for students in the sciences interested in applications of their research to management and policy, focusing 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.

Practice and development of skills for communicating scientific research to a diverse set of audiences. This course is for students in the sciences interested in applications of their research to management and policy, focusing 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.

This course will highlight the theory, issues, challenges, methods, and approaches for implementing Ecosystem-based Fisheries Management (EBFM). The course will examine the history and background of fisheries management, leading up to why more holistic considerations are being considered. A series of operational approaches, emphasizing a familiarity with technical efforts and models, will be explored as they are being used to implement EBFM. An examination of institutional structures and considerations will be executed to elucidate those situations where EBFM has been successful. The course will emphasize current literature and case studies as main learning elements.

This course will highlight the theory, issues, challenges, methods, and approaches for implementing Ecosystem-based Fisheries Management (EBFM). The course will examine the history and background of fisheries management, leading up to why more holistic considerations are being considered. A series of operational approaches, emphasizing a familiarity with technical efforts and models, will be explored as they are being used to implement EBFM. An examination of institutional structures and considerations will be executed to elucidate those situations where EBFM has been successful. The course will emphasize current literature and case studies as main learning elements.

Thesis research on an experimental or theoretical project in Marine Science or Technology under a faculty advisor.

Thesis research on an experimental or theoretical project in Marine Science or Technology under a faculty advisor.

Research for and preparation of doctoral dissertation proposal. The dissertation proposal must provide a thorough survey of the research activities in the research topic area and it must present original and innovative research ideas and preliminary results as well as a defined research scope and directions. PhD students must have passed this course before registering for doctoral dissertation research credits. Graded P/F.

Investigations of a fundamental and/or applied nature representing an original contribution to the scholarly research literature of the field. PhD dissertations are often published in refereed journals or presented at major conferences. A written dissertation must be completed in accordance with the rules of the Graduate School and the School for Marine Science and Technology. Admission to the course is based on successful completion of the PhD comprehensive examination and submission of a formal proposal endorsed by the student's graduate committee and submitted to the SMAST Graduate Program Director.

Investigations of a fundamental and/or applied nature representing an original contribution to the scholarly research literature of the field. PhD dissertations are often published in refereed journals or presented at major conferences. A written dissertation must be completed in accordance with the rules of the Graduate School and the School for Marine Science and Technology. Admission to the course is based on successful completion of the PhD comprehensive examination and submission of a formal proposal endorsed by the student's graduate committee and submitted to the SMAST Graduate Program Director.

Research

Research activities

  • Evaluating the performance of ecosystem-based fisheries management strategies
  • Stock assessment statistical methods development
  • Simulation testing of management, monitoring, and assessment procedures
  • Social-ecological ecosystem modeling and indicators for Integrated Ecosystem Assessment
  • Testing decision support tools for living marine resource management

Research

Research awards

  • $ 87,240 awarded by Virginia Institue of Marine Science for Age-length Structured Assessment Modeling for US Atlantic Sea Scallop Using Stock Synthesis
  • $ 34,806 awarded by Nature Conservancy for Supporting the FishPath Implementation and Fisheries Science Capacity Building
  • $ 376,392 awarded by Office of Naval Research for UMassD MUST IV: Applications of Machine Learning to Develop Statistical Emulators for Complex Spatial Marine Ecosystem Models for Improved Management Decision-making
  • $ 159,189 awarded by New England Fishery Management Council for Prototype Management Strategy Evaluation for Georges Bank Ecosystem-Based Fishery
  • $ 286,302 awarded by National Oceanic and Atmospheric Administration for Incorporating Markets into Models: Charting the Pathways to Resilience in New England Seafood Supply Chains

Select publications

  • Fay, G., G. DePiper, S. Steinback, R.J. Gamble, J.S. Link (2019).
    Economic and ecosystem effects of fishing on the Northeast US shelf
    Frontiers in Marine Science, 6:133, doi: 10.3389/fmars.2019.0.
  • Fay, G., J.S. Link, J.A. Hare (2017).
    Assessing the effects of ocean acidification in the Northeast US using an end-to-end marine ecosystem model
    Ecological Modelling, 347, 1-10.
  • Fay, G., J.S. Link, S.I. Large, and R.J. Gamble (2015).
    Management performance of ecological indicators in the Georges Bank finfish fishery
    ICES Journal of Marine Science, 72, 1285-1296.