Education

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

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

• $ 396,311 awarded by Bureau of Ocean Energy Management for Exploring the Connectivity Among Offshore Wind Turbines
• $ 12,912 awarded by Gulf of Maine Research Institute for Incorporating the Influence of Climate into the Western Atlantic Bluefin Tuna Stock Assessment
• $ 101,407 awarded by National Oceanic and Atmospheric Administration for Development of an Age Structured Assessment Program Applications for Atlantic Bluefin Tuna
• $ 50,000 awarded by MA Division of Marine Fisheries for FY23 MFI Graduate Education Program Director
• $ 6,000 awarded by Woods Hole Oceanographic Institution for Marine Science Internship for New Bedford High School Students

Research

Research interests

• Fishery Stock Assessment
• Defining Spatial Fishery Management Units
• Spatially-Complex Population Dynamics
• Fishery Management Advice
• Bycatch Management

Select publications

See curriculum vitae for more 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.

Latest from Steven

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External links

• American Institute of Fishery Research Biologists
• Center for the Advancement of Population Assessment Methodology
• Stock Identification Methods Working Group
• Elsevier Fisheries Research Editorial Board