Now showing items 1-2 of 2

  • Assessing uncertainties in crop and pasture ensemble model simulations of productivity and N2O emissions 

    Ehrhardt F; Soussana J-F; Bellocchi G; Grace P; McAullife R; Recous S; Sandor R; Smith P; Snow V; Migliorati MDA; Basso B; Bhatia A; Brilli L; Doltra J; Dorich CD; Doro L; Fitton N; Giacomini SJ; Grant B; Harrison MT; Jones SK; Kirschbaum MUF; Klumpp K; Laville P; Leonard J; Liebig M; Lieffering M; Martin R; Massad RS; Meier E; Merbold L; Moore AD; Myrgiotis V; Newton P; Pattey E; Rolinski S; Sharp J; Smith WN; Wu L; Zhang Q (2017)
    Simulation models are extensively used to predict agricultural productivity and greenhouse gas (GHG) emissions. However, the uncertainties of (reduced) model ensemble simulations have not been assessed systematically for ...
  • The use of biogeochemical models to evaluate mitigation of greenhouse gas emissions from managed grasslands 

    Sandor R; Ehrhardt F; Brilli L; Carozzi M; Recous S; Smith P; Snow V; Soussana J-F; Dorich CD; Fuchs K; Fitton N; Gongadze K; Klumpp K; Liebig M; Martin R; Merbold L; Newton PCD; Rees RM; Rolinski S; Bellocchi G (2018)
    Simulation models quantify the impacts on carbon (C) and nitrogen (N) cycling in grassland systems caused by changes in management practices. To support agricultural policies, it is however important to contrast the responses ...