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Steven Cadrin, PhD
Professor
SMAST / Fisheries Oceanography
Contact
508-910-6358
508-910-6396
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School for Marine Science & Technology East, New Bedford 121
Education
| 2003 | University of Rhode Island | PhD, Fisheries Science |
| 1995 | University of Massachusetts Dartmouth | MS, Marine Biology |
| 1985 | Southampton College, Long Island University | BS, Marine Science |
Teaching
- Stock Assessment of Fishery Resources
- Stock Identification Methods
- Fishery Management
Teaching
Programs
Programs
- Intercampus Marine Science Programs MS, PhD
- Marine Science and Technology MS
- Marine Science and Technology PhD
- University of São Paulo Dual PhD PhD
Teaching
Courses
Instruction, demonstration and exercises in population modeling, as applied to fishery resources. First principles of population dynamics are reviewed from the perspective of model building, and several dimensions of complexity are explored. A wide range of conventional stock assessment methods are introduced, as well as several advanced topics such as multispecies assessments, ecosystem considerations, spatial structure and risk analysis.
Research on an experimental, computational and/or theoretical project under the guidance of an SMAST faculty advisor. Students must complete a research paper that is approved by their major advisor and at least one other faculty member. PSM and non-thesis MS students may use this course to satisfy the research project requirement for their degree.
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.
Integration of fundamental concepts of natural science and social science relating to management of living marine resources. This course utilizes a case study of a fishery to explore how knowledge and methods from a variety of disciplines including oceanography, biology, ecology, mathematics, and economics are used together in management of marine fisheries.
Integration of fundamental concepts of natural science and social science relating to management of living marine resources. This course utilizes a case study of a fishery to explore how knowledge and methods from a variety of disciplines including oceanography, biology, ecology, mathematics, and economics are used together in management of marine fisheries.
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
- Stock Assessments of New England Groundfish
- Fishery Catch Rates for New England Groundfish
- Implications of Resolving a Mismatch in the Scale of Atlantic Cod Fishery Management
- Distribution of Atlantic Cod Spawning Aggregations on Cox Ledge
- Impacts of Offshore Wind Energy using Fishery Data
Research
Research awards
- $ 6,000.00 Marine Science Internship for New Bedford High School Students
- $152,509.00 Establishment of a SMAST-CINAR Postdoctoral Fellow Program (Wind)
- $ 15,900.00 Investigating The Effects of Climate on Fishery Catch Rates of New England Groundfish
Research
Research interests
- Fishery Stock Assessment
- Defining Spatial Fishery Management Units
- Spatially-Complex Population Dynamics
- Fishery Management Advice
- Bycatch Management
Select publications
- Cadrin SX (2020).
Defining spatial structure for fishery stock assessment
Fisheries Research, 221, 105397. - Cadrin SX, DR Goethel, MR Morse, G Fay & LA Kerr (2019).
"So, where do you come from?" the impact of assumed spatial population structure on estimates of recruitment
Fisheries Research, 217, 156-168. - Cadrin SX, LA Kerr & S Mariani (2014).
Stock Identification Methods: applications in fisheries science
Elsevier Academic Press, 2nd Ed, 1-566. - Cadrin SX & DH Secor (2009).
Accounting for spatial population structure in stock assessment: past, present and future
In The Future of Fishery Science in North America, 405-426. - Cadrin SX (2000).
Advances in morphometric identification of fishery stocks
Reviews in Fish Biology and Fisheries, 10, 91-112.
Steve Cadrin has been a stock assessment scientist for over 30 years, previously with the National Marine Fisheries Service’s Northeast Fisheries Science Center in Woods Hole, Massachusetts Marine Fisheries, and New York Department of Environmental Conservation. His accomplishments include the advancement of stock assessment methods for a wide range of invertebrate and finfish species, fishery management advice for regional, national and international fisheries, and global leadership in evaluating geographic stock structure and modeling spatially complex populations. He has chaired several regional, national and international working groups and committees and has convened workshops, symposia, and conferences for the International Council for the Exploration of the Seas, National Marine Fisheries Service, New England Fishery Management Council, American Fisheries Society and the Northeast Fish and Wildlife Conference. Steve received the American Fisheries Society’s Award for Outstanding Marine Fishery Biologist for sustained excellence in marine fishery biology, the University of Massachusetts Dartmouth’s 2021 Scholar of the Year Award, and the Joint Ocean Commission Initiative’s Excellence in Mentoring Inaugural Award. He is also Past President of the American Institute of Fisheries Research Biologists. His teaching and research agendas focus on population modeling, stock identification, fisheries management, collaborative research with fishermen, and application of advanced technologies for fishery science.