Stefan Olin

TL;DR: This work compares ensembles of water supply and demand projections driven by ensemble output from five global climate models and suggests surplus water supply could in principle support a net increase in irrigation, although substantial investments in irrigation infrastructure would be required.

TL;DR: A global N2O inventory is presented that incorporates both natural and anthropogenic sources and accounts for the interaction between nitrogen additions and the biochemical processes that control N 2O emissions, using bottom-up, top-down and process-based model approaches.

TL;DR: In this paper, the authors evaluate the simulation results of 14 global gridded crop modeling groups that have contributed historic crop yield simulations for maize, wheat, rice and soybean to the Global Gridded Crop Model Intercomparison (GGCMI) of the AgMIP.

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 paper, the authors combine results from networks of field experiments and global crop models to present a spatially explicit global perspective on crop water productivity (CWP, the ratio of crop yield to evapotranspiration) for wheat, maize, rice and soybean under elevated CO2 and associated climate change projected for a high-end greenhouse gas emissions scenario.