This research develops a high-resolution chemical method for analyzing tree rings to reconstruct past climates and ecosystem responses. By measuring atomic-scale chemical variations within cellulose molecules, the study separates environmental signals from biological responses, enabling more detailed understanding of historical climate change, plant physiology, and long-term ecosystem adaptation.

This study explored whether satellite remote sensing can estimate black truffle mycelium biomass. Optical vegetation indices showed limited results, while Sentinel-1 radar backscatter had significant correlations, especially in spring. Findings suggest radar data capture soil moisture dynamics linked to fungal activity, offering a promising tool for sustainable truffle orchard management.