Fast-moving wildfires leave forests less able to recover, study finds
Peer-Reviewed Publication
Updates every hour. Last Updated: 23-Oct-2026 17:17 ET (23-Oct-2026 21:17 GMT/UTC)
A study by Colorado State University, Western Colorado University and others has found that the fastest-moving forest fires not only burn more area, but burn it more severely, making it harder for forests to recover by leaving fewer surviving trees to reseed the landscape.
As climate change drives more intense droughts, new research shows shrinking water supplies can give pathogens like West Nile virus an edge.
Accurately forecasting extreme temperature events remains a critical challenge for climate adaptation and disaster preparedness. Now, researchers have developed Hankelformer, a novel deep learning architecture that integrates structured Hankel-based augmentation with contrastive learning to significantly improve extreme weather forecasting. Tested on real-world extreme events including the 2021 Texas winter storm and the Pacific Northwest heat dome, Hankelformer achieved up to 34% reduction in prediction error compared to leading baseline models, offering a promising tool for reliable extreme temperature forecasting.
Scientists from the Centre for Crop and Food Innovation (CCFI) at Murdoch University have participated in a landmark proof-of-concept research project demonstrating how pangenome-guided breeding strategies can reunite two traits that are usually trade-offs, namely stress tolerance and yield.
A study published in National Science Review shows that climate change is reorganizing China’s cropland nitrogen pollution. Although the humid south currently exports more nitrogen, rising rainfall may increase cropland nitrogen export from the arid and semi-arid north by 18.8%–53.2% by 2050. The findings call for source control in the north and stronger aquatic nitrogen removal in the south.