Japan Geoscience Union Meeting 2023

Presentation information

[J] Oral

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

[A-OS16] Chemical and Biological Oceanography

Sun. May 21, 2023 9:00 AM - 10:15 AM 106 (International Conference Hall, Makuhari Messe)

convener:Kazuhiro Misumi(Sustainable System Research Laboratory, Central Research Institute of Electric Power Industry), Michiyo Yamamoto-Kawai(Tokyo University of Marine Science and Technology), Chairperson:Kazuhiro Misumi(Sustainable System Research Laboratory, Central Research Institute of Electric Power Industry), Michiyo Yamamoto-Kawai(Tokyo University of Marine Science and Technology)

10:00 AM - 10:15 AM

[AOS16-05] Role of Well-being Indicators for Marine Life in Marine Ecosystems Conservation - Consideration of camera data and analysis of fish -

*Megumi Uesu1, Helen Stewart1, Aya Suzuki1, Toru Nakamura1, Masaki Hisada1 (1.NTT Space Environment and Energy Laboratories)

Keywords:Marine ecosystems, Fish, Well-being, Observation technology

There is growing global interest in conservation of marine ecosystems and the sustainable use of oceans. The assessment of habitats through of marine life is an important issue for effective conservation efforts. It is important to assess the marine environment before and after an effort to effectively protect ecosystems. We aim to establish well-being indicators for marine life with the final objective of evaluating the habitat environment of marine life. These indicators set the standard for well-being about essential elements of marine life such as water quality and food. Quantitative methods, such as behavioral and body composition analyses, can be used to judge whether these standards are met for specific marine organisms. Quantifying well-being allows the assessment of habitats through the perspective of marine life, which is of great significance in verifying the effects addressed.
We are going to define specific standards of well-being, including water quality, food quality, predation risk, and whether the marine organism is in a restful environment. To assess the state of marine organisms, we are going to estimate well-being by automatic detection of various behaviors from camera data, and analysis of the frequency of these behaviors over time, including seasonal variations. We will also plan to focus on water quality, which is directly linked to organism survival. We will also examine the impact of organism experience on well-being, such as experience in running away from predators.
In this study, as a first step towards quantification of well-being for marine life, we introduce monitoring and analysis of behavior of specific fish captured by cameras. Camera data of specific fish reared in closed environments is analyzed to reveal the frequency of purposeful behaviors, such as feeding and sleeping, as well as non-purposeful behaviors. The next step will be to classify and assess behaviors over time and to observe how changes in food sources and abundance affect the behavior of marine organisms.
In the future, we plan to use information from sensors, including underwater imagery and biological sounds, to estimate the state of marine ecosystems with increased accuracy and reliability. We hope that considering well-being through the perspective of marine life will provide new insights into evaluation of marine environments and biodiversity conservation.