A groundbreaking video from Kumamoto University's Center for Water Cycle, Marine Evironment and Disaster Management (Aitsu Marine Station) has been selected as one of "November's Best Science Images" by the scientific journal Nature. This special feature celebrates the most visually striking and scientifically innovative research images each month, and the selection is an incredible honor for Associate Professor. Yoshikawa and his team.

— This study introduces the concept of fishing fleets as "ecosystem sentinels," which are living sensors that indicate changing conditions in a natural habitat.

— Researchers found that near-real-time data from the global Vessel Monitoring System can detect climate-driven ecosystem disruptions, such as fish fleeing warming waters, much earlier than traditional indicators.

— Vessel-tracking data were six times more effective at predicting tuna distribution shifts than sea-surface temperature anomalies. Earlier detection could accelerate fishery management response time and avoid harm to local economies driven by commercial fishing.

A multinational scientific team led by UiT has uncovered the deepest known gas hydrate cold seep on the planet.  The discovery was made during the Ocean Census Arctic Deep – EXTREME24 expedition and reveals a previously unknown ecosystem thriving at 3,640 metres on the Molloy Ridge in the Greenland Sea. The groundbreaking findings regarding the Freya Hydrate Mounds, which hold scientific significance and implications for Arctic governance and sustainable development, have recently been published in Nature Communications.  

The Hong Kong University of Science and Technology (HKUST), in collaboration with the Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), has launched the world's first Deep Ocean Omics (DOO) database (https://DeepOceanOmics.org/). As the largest platform of its kind, DOO integrates and analyzes multi-omics data from organisms thriving in the ocean's most extreme environments, alongside customized analytical tools to support cross-species comparative and evolutionary studies. By facilitating the utilization of deep-sea biological resources, the platform aims to advance scientific understanding of deep-sea biodiversity and ecosystems, and to foster global research and applications related to biological adaptation in extreme environments.