New study finds earliest evidence of big land predators hunting plant-eaters
Peer-Reviewed Publication
Updates every hour. Last Updated: 3-Mar-2026 05:15 ET (3-Mar-2026 10:15 GMT/UTC)
A new study examining fossil evidence shows large land predators were already hunting big plant-eating animals more than 280 million years ago. University of Toronto Mississauga researchers Jordan M. Young, Tea Maho, and Robert Reisz studied bite marks on the skeletons of three young herbivores from the early Permian of Texas revealing feeding patterns from multiple predators and a glimpse into how animals hunted and interacted with each other.
As countries prepare to update their climate pledges, a study from Jeonbuk National University and Pusan National University examines whether current commitments can meet the goals of the Paris Agreement. Using the RICE-2010 model, researchers find that even if pledges are fulfilled, warming could reach 2.48 °C by 2300. Without more ambitious action, climate-related damages could reach US$65 trillion by 2200, underscoring the need for deeper and faster emission cuts.
A newly published study from the University of Guam sheds light on a tiny but powerful ally in the soil and how it could help Guam farmers and growers protect their crops naturally. Published on Dec. 11, 2025, in the journal Frontiers in Plant Science, the study was conducted by Dr. Richard R. Singh, an assistant professor of sustainable plant production, and soil chemist Clancy Iyekar of the agInnovation Research Center under UOG Land Grant. The study focuses on nematodes — microscopic roundworms in soil that are poorly documented in Guam — specifically exploring how certain “good” nematodes may help control the harmful ones that damage crops.
In a recent study published in Science China Earth Sciences, a team of researchers proposed using an orthogonal conditional nonlinear optimal perturbations (O-CNOPs) method to tackle the challenge of forecasting unusual tropical cyclone (TC) tracks. Their findings revealed that this method exhibits exceptional capability in generating ensemble members that accurately predict sharp TC turns. The O-CNOPs method holds potential as a transformative tool for addressing the forecasting challenge, offering a more precise and reliable solution for predicting TC behavior.
Forecasting unusual TC tracks has long been a persistent challenge in TC prediction, with limited progress made over the years. However, this study demonstrated that the O-CNOPs outperformed traditional methods [singular vectors (SVs) and bred vectors (BVs)] by providing more stable and reliable improvements in TC track forecasting skills. Notably, at lead times of one to five days, the O-CNOPs showed superior ability to generate ensemble members that accurately predict sharp TC turns. Thus, the study offers a new ensemble forecasting technology to enhance the accuracy of unusual TC track forecasts, with potential for becoming a valuable approach to address this forecasting challenge.
Arizona State University and Columbia University research finds that increased flood strikes and outdated flood prediction led to meager payouts for homeowners and massive debt for the National Flood Insurance Program — but there is a way out.