Research Assistant Professor University of new hampshire
Characterizing interactions between processes acting across spatiotemporal scales in the carbon cycle is necessary for predicting the fate of diverse ecosystems under climate change, and represents a major challenge facing ecologists today. Communities of microbes control the turnover and stability of soil C through micro-scale differences in metabolic activity, directly feeding back to Earth’s climate. Interdisciplinary research networks such as NEON, LTER and CZnet have brought on a big data revolution, generating microbial metagenomic datasets across environmental gradients. We leverage these cross-scale data to address climate-related issues and improve our ability to predict the response of ecosystems under global change.
