Building an empirical model of global carbon flux

Using a machine learning analysis, M. Jung et al. developed a model that accurately estimated a number of ecosystem-atmosphere fluxes, including the amount of carbon used to fuel plant growth, the carbon produced by the ecosystem, and the latent and sensible energy transfer rates. The FLUXNET-based study was picked as Editor's Highlight in the journal.