Stefan Gerber

TL;DR: A coupled physical-biogeochemical climate model that includes a dynamic global vegetation model and a representation of a coupled atmosphere-ocean general circulation model is driven by the nonintervention emission scenarios recently developed by the Intergovernmental Panel on Climate Change (IPCC) as mentioned in this paper.

TL;DR: In this article, the Bern Carbon Cycle Climate (Bern CC) model is matched within a few ppm for the standard model setup, and results are broadly consistent with proxy data of atmospheric 13 CO2, mean ocean d 13 C, and pollen data, within their uncertainties.

TL;DR: This study assessed the effects of multiple anthropogenic and natural factors, including nitrogen fertilizer application, atmospheric N deposition, manure N application, land cover change, climate change, and rising atmospheric CO2 concentration on global soil N2 O emissions for the period 1861-2016 using a standard simulation protocol with seven process-based terrestrial biosphere models.

TL;DR: In this article, the authors introduce a prognostic N cycle within the Princeton-Geophysical Fluid Dynamic Laboratory (GFDL) LM3V land model, which captures many essential characteristics of C-N interactions and is capable of broadly recreating spatial and temporal variations in N and C dynamics.

TL;DR: It is found that climate alone cannot explain the occurrence of a dramatic >90% drop in watershed nitrate export over the past 46 y, despite longer growing seasons and higher soil temperatures, and historic events can obscure the influence of modern day stresses on the N cycle.