A machine-learning model leverages 1,017 toxicity assays in three species and 24 geospatial predictors to generate high-resolution maps of toxicity from pharmaceutical mixtures in rivers worldwide. Analyses reveal that targeted management of six key sources of pharmaceuticals might substantially reduce the river areas at risk…
Source: Nature Geoscience | Springer Nature Limited
Nature Geoscience | Springer Nature Limited
- Curbing six key sources could halve pharmaceutical mixture exceedance in global rivers
- Limiting six sources of pharmaceuticals might slash mixture toxicity risk in rivers
- Regional land carbon shifts strengthen atmospheric carbon dioxide–land carbon flux coupling
- Recognition and celebration of technical staff in geoscience
- Elevated early Eocene atmospheric CO<sub>2</sub> tied to reduced Southern Ocean biological pump efficiency
- Responsible use of artificial intelligence
- Sparing use of phosphorus in an acidifying ocean
- Ettringite’s concrete contribution
Nature Podcast
(25)The Nature Podcast brings you the best stories from the world of science each week. We cover everything from astronomy to zoology, highlighting the most exciting research from each issue of the Nature journal. We meet the scientists behind the results and provide in-depth analysis from Nature’s journalists and editors…
→ Kurzlink zu diesem Artikel: https://earthings.org/?p=9100
