معرفی
Matteo Detto is a Research Fellow affiliated with the Department of Ecology and Evolutionary Biology and the High Meadows Environmental Institute (HMEI) at Princeton University. His research focuses on climate-forest interactions, particularly the spatial and temporal complexity of biosphere-atmosphere exchanges, including energy, water, CO₂, and greenhouse gases. He designs automated bio-environmental monitoring systems for diverse ecosystems, from Mediterranean regions to boreal forests, and develops statistical methods to analyze observational data across multiple scales.
His work emphasizes understanding ecological complexity in natural and anthropogenic systems, with a focus on how climate change alters forest resource use and carbon dynamics. Detto collaborates with the Pacala Lab and contributes to the Carbon Mitigation Initiative (CMI) within HMEI. He has pioneered methods for analyzing forest structure using LiDAR and drones, and his research spans remote sensing applications, time-series analysis, and spatial modeling.
Detto's publications address topics such as tropical forest responses to drought, liana-tree competition, and the integration of physiological data into ecosystem models. He actively engages in global initiatives like the ForestGEO network and has contributed to datasets like FLUXNET-CH4.
