A new study shows how using drones with advanced cameras, ones that detect both heat and light, can help scientists better measure how field-grown wheat plants cope with climate change. By flying these drones over hundreds of wheat varieties, researchers could estimate key traits like how efficiently the plants breathe through their leaves, how leafy they are, and how much chlorophyll they have. They then matched these traits to specific genes in the wheat, identifying genetic markers linked to better performance under normal and dry conditions. This approach makes it easier to find and develop wheat varieties that are more resilient to climate challenges, helping to secure future food security.

A study published in Forest Ecosystems reveals that bark beetle-induced logging in Central Europe follows a 9 to 12-year cycle tied to solar activity and weather patterns. Researchers analyzed nearly 50 years of forestry and climate data from Austria, Czechia, and Slovakia, linking low solar activity to hotter, drier weather and severe beetle outbreaks, with implications for climate-informed forest management.

CSHL Associate Professors Justin Kinney and David McCandlish have developed a unified theory for mathematical parameters known as gauge freedoms. Their new formulas will allow scientists to interpret research results much faster and with greater confidence. The development could prove fundamental for future efforts in agriculture, drug discovery, and beyond.