Could the artificial introduction of oxygen revitalise dying coastal waters? While oxygenation approaches have already been proven successful in lakes, their potential side effects must be carefully analysed before they can be used in the sea. This is the conclusion of researchers from GEOMAR Helmholtz Centre for Ocean Research Kiel and Radboud University in the Netherlands. In an article in the scientific journal EOS, they warn: Technical measures can mitigate damage temporarily and locally, but they are associated with considerable uncertainties and risks. Above all, they do not offer a permanent solution because the oxygen content will return to its previous level once the measures end, unless the underlying causes of the problem, nutrient inputs and global warming, are not tackled.

EPFL atmospheric and climate scientists show that biological particles may induce rain events that could contribute to flooding and snowstorms, owing to their ability to precipitate ice formation in clouds. They call for an update of meteorological and climate models.

The goal of this study was to determine the contribution of anthropogenic climate change to wildfire smoke PM2.5 mortality on a county-level across the continental United States from 2006 through 2020. Climate change contributed to approximately 15,000 wildfire particulate matter deaths over 15 years with interannual variability ranging from 130 (95% confidence interval: 64, 190) to 5100 (95% confidence interval: 2500, 7500) deaths and a cumulative economic burden of $160 billion. Approximately 34% of the additional deaths attributable to climate change occurred in 2020, costing $58 billion. The economic burden was highest in California, Oregon, and Washington. This highlights the substantial impacts on nature that result in human deaths from failure to reduce greenhouse gas emissions. In a scenario without climate change contributing to wildfire smoke PM2.5, tens of thousands of deaths could be avoided and billions of dollars saved every year.

Researchers from the Institute for Environmental Sciences (IVM) at Vrije Universiteit Amsterdam have developed DYNAMO-M, a cutting-edge global agent-based model that simulates how 13 million farming households in coastal regions worldwide will respond to the escalating threats of coastal flooding and saltwater intrusion caused by sea level rise (SLR). Presented at the EGU General Assembly 2025 in Vienna, DYNAMO-M utilizes discounted expected utility (DEU) theory to model human decision-making, simulating the choices farmers might face: stay and absorb losses, adapt by using salt-tolerant crops and elevated homes, or migrate inland.

The model tracks these decisions year by year, spanning from 2020 to 2080, and covers 23 major food crops in flood-prone regions globally. It identifies critical migration hotspots and potential shifts in land use, especially in vulnerable coastal areas like Florida, New York, Japan, China, the Philippines, and Italy. Furthermore, DYNAMO-M highlights the vulnerability of regions located in 1 in 100-year floodplains, which are at heightened risk due to rising seas.

In addition to predicting displacement, the model evaluates the impact of various interventions, including insurance schemes and government policies. Findings show that small subsidies and strategic support can significantly enhance adaptive capacity, reducing the need for migration and allowing affected communities to remain resilient despite rising seas.

This research pushes the boundaries of climate risk modeling by offering actionable insights into how farming communities can adapt to climate change and continue to thrive. DYNAMO-M provides valuable tools for policymakers, insurers, and global development agencies working to support coastal agricultural communities. The study demonstrates the urgency of addressing climate-induced risks and the importance of proactive, sustainable solutions. For more information, visit www.coastmove.org.