A smarter way to measure how streams clean themselves
Peer-Reviewed Publication
Updates every hour. Last Updated: 10-Jun-2026 12:16 ET (10-Jun-2026 16:16 GMT/UTC)
A widely used method for measuring how well streams absorb excess nutrients has a hidden flaw: it systematically overestimates uptake length under high-nutrient conditions. Researchers at Duke Kunshan University have derived a corrected zero-order analytical approach that better captures stream nutrient processing when nutrients are abundant, improving the accuracy of tools used to assess river health and guide restoration decisions.
Why this matters:
Hydropower is a major source of clean energy, including via dams, but building dams can come at a cost by disrupting communities, wildlife and river ecosystems.
MSU researchers worked with an international research team and found that better planning, especially involving local communities and using a mix of energy sources like solar and wind, can reduce dam construction harms.
The findings highlight a key challenge in the clean energy transition: how to expand renewable power without damaging the people and environments it is meant to protect. The researchers are working to advance global conversations on how to address the challenges surrounding dam projects.
Stephanie Plaza-Torres has been named the 2026–2027 Geological Society of America (GSA)–U.S. Geological Survey (USGS) Congressional Science Fellow.