A new study published in the journal Frontiers in Marine Science, has uncovered evidence of far-reaching ecosystem consequences following the disappearance of Great white sharks (Carcharodon carcharias) from False Bay, South Africa. The research, conducted by scientists at the University of Miami Rosenstiel School of Marine, Atmospheric and Earth Science, spans over two decades and documents cascading ecological disruptions, underscoring the crucial role apex predators play in maintaining ocean health.

For new research, published in the journal Ocean and Coastal Management, ten fishermen working around islands in the Aegean Sea were asked to pinpoint areas where they believed seagrass beds could be found along the coastlines of their respective islands. The maps they produced were then compared with satellite data of the same regions, with analysis showing an average accuracy of 78% – and a high of 92%. Researchers from the University of Plymouth and the Archipelagos Institute of Marine Conservation say the results are a clear demonstration of the value of tapping into local knowledge, and how doing so can be a low-cost means of generating environmental data without compromising the high accuracy needed for the data to be still valuable for policy use.

Lancaster University Professor of Urban Design Nick Dunn says we would be able to reach important goals in relation to biodiversity, health and well-being of humans and nonhumans, and climate objectives.

 

Imagine a whole new world of effective shared living where we listen to our natural rhythms instead of fighting against them and we tackle light pollution so we can all see the stars at night.

In a paper published in National Science Review, a team of Chinese scientists develop an AI-powered framework designed to achieve real-time, seamless retrieval of PM₁₀ concentrations. This breakthrough addresses the challenges of spatial gaps and nighttime observation deficiencies in current satellite-based PM10 data. It extends daily data to high-resolution, real-time hourly insights, providing strong support for precise dust storm monitoring.