SCIENCE DAILY

Top stories featured on ScienceDaily's Plants & Animals, Earth & Climate, and Fossils & Ruins sections.

Science Daily

  1. On a remote Alaskan island, gray wolves are rewriting the rulebook by hunting sea otters — a behavior few scientists ever expected to see. Researchers are now uncovering how these coastal wolves adapted to marine hunting, what it means for land–sea ecosystems, and whether this ancient predator–prey relationship is re-emerging as sea otters recover.
  2. A fast-aging fish is giving scientists a rare, accelerated look at how kidneys grow old—and how a common drug may slow that process down. Researchers found that SGLT2 inhibitors, widely used to treat diabetes and heart disease, preserved kidney structure, blood vessels, and energy production as the fish aged, while also calming inflammation. The results help explain why these drugs protect kidneys and hearts so reliably in people, even beyond blood sugar control.
  3. Scientists studying ancient ocean fossils found that the Arabian Sea was better oxygenated 16 million years ago, even though the planet was warmer than today. Oxygen levels only plunged millions of years later, after the climate cooled, defying expectations. Powerful monsoons and ocean circulation appear to have delayed oxygen loss in this region compared to the Pacific. The discovery suggests future ocean oxygen levels may not follow a simple warming-equals-deoxygenation rule.
  4. Scientists have created a device that captures carbon dioxide and transforms it into a useful chemical in a single step. The new electrode works with realistic exhaust gases rather than requiring purified CO2. It converts the captured gas into formic acid, which is used in energy and manufacturing. The system even functions at CO2 levels found in normal air.
  5. Small mammals are early warning systems for environmental damage, but many species look almost identical, making them hard to track. Scientists have developed a new footprint-based method that can tell apart nearly indistinguishable species with remarkable accuracy. Tested on two types of sengi, the system correctly identified them up to 96% of the time. It offers a simple, ethical way to monitor ecosystems before they quietly unravel.
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