Japan Geoscience Union Meeting 2019

Presentation information

[E] Poster

A (Atmospheric and Hydrospheric Sciences ) » A-OS Ocean Sciences & Ocean Environment

[A-OS12] Marine ecosystems and biogeochemical cycles: theory, observation and modeling

Mon. May 27, 2019 3:30 PM - 5:00 PM Poster Hall (International Exhibition Hall8, Makuhari Messe)

convener:Shin-ichi Ito(Atmosphere and Ocean Research Institute, The University of Tokyo), Takafumi Hirata(Faculty of Environmental Earth Science, Hokkaido University), Enrique N Curchitser(Rutgers University New Brunswick), Eileen E Hofmann(Old Dominion University)

[AOS12-P12] Estimation of experienced environment of jack mackerel in the East China Sea

*Tomihiko Higuchi1, Motomitsu Takahashi2, Kotaro Shirai1, Shin-ichi Ito1 (1.Atmosphere and Ocean Research Institute, The University of Tokyo, 2.Seikai National Fisheries Research Institute,FRA)

Keywords:fish otolith, isotope analysis, experienced environment, fish migration

Jack mackerel Trachurus japonicus is distributed on the continental shelf waters along the subtropical Kuroshio Current and the Tsushima Warm Current in the western North Pacific. The East China Sea (ECS) is one of major region for jack mackerel and understanding the recruitment processes of jack mackerel into the fishing grounds in the ECS is important. However, marine environment such as water temperature that jack mackerel actually experiences is not directly observed yet. In this study, oxygen (δ18O) and carbon (δ13C) stable isotope of jack mackerel otolith were analyzed and the experienced environment was estimated. When we compared δ18O of otolith caught in between three different station with different temperature, average of δ18O varied and was negatively correlated with water temperature of sampling station. Most of individual indicated that δ13C relatively increased from core part to edge in otolith. Thus, these results suggest that otolith of jack mackerel recorded experienced environment. However, because jack mackerel migrate vertically, it needs to consider vertical profile of seawater temperature and other parameters such as salinity and prey availability. A combination with fish distribution information and ecological modeling may help the improvement of estimation for detail experienced environment.