Shinagawa Etchujima CampusGraduate School of Marine Science and Technology

The Graduate School of Marine Science and Technology has a doctoral course divided into a master's course and a doctoral course, and trains independent highly specialized professionals who open up cutting-edge fields.Furthermore, in collaboration with the Japan Fisheries Research and Education Agency, the Japan Agency for Marine-Earth Science and Technology, and the National Institute of Maritime, Port and Aviation Technology, we will further enhance education and research and improve the quality of graduate students. We are trying to

[Awards and Commendations] Rentaro Miro (1st year master's student) received the Best ECOP Poster Presentation Award by the Fishery Science Committee at the North Pacific Ocean Science Organization (PICES) 2025 Annual Meeting.

2025.11.25 Graduate School of Marine Science and Technology Companies / researchers Current students

202511Month8Sun ~14The North Pacific Ocean Science Institute(PICES) 2025At the annual meeting, Rentaro Miro, a graduate student at our university,Best ECOP(Early Career Ocean Professional) Poster Presentation Award by the Fishery Science CommitteeWas awarded.

【Winner】
Rentaro Mitsuro (Graduate School of Marine Science and Technology, master's course)1(Major in Marine Management Policy Studies)

[Title of award-winning research]
Modeling the population dynamics of Pacific saury considering migration
(Building a Pacific saury resource dynamics model that takes migration into account)

[Details of award-winning research]
　Pacific saury migrate widely throughout the North Pacific throughout the year. It is known that the distribution of spawning seasons affects recruitment, and the distribution of feeding seasons affects growth. However, current resource assessments do not adequately consider these aspects. Quantitatively understanding the spatiotemporal distribution of Pacific saury is important for accurately understanding the status of the resource. Based on the knowledge that Pacific saury movements are significantly affected by sea surface temperature, this study developed a spatiotemporal model that explicitly incorporates the relationship between migratory behavior and sea surface temperature. This model naturally handles the uncertainty of movement by probabilistically representing movement in response to sea surface temperature and data observations. Furthermore, simulation experiments were conducted to estimate the model parameters using both maximum likelihood estimation using Laplace approximation and Bayesian estimation using MCMC. Results confirmed that under experimental conditions, both methods could reproduce Pacific saury distributions with an error of approximately 5%. This method may also be applicable to other fish species that migrate according to the marine environment. Furthermore, in the future, it may be useful as a basis for quantitatively evaluating the effectiveness of spatiotemporal resource management methods such as closed seasons and closed fishing areas.