An international team of scientists has developed crop models
to better forecast food production to feed a growing population – projected to
reach 9 billion by mid-century – in the face of climate change.
In a paper appearing in Nature Climate Change, members of
the Agricultural Model Intercomparison and Improvement Project unveiled an
all-encompassing modeling system that integrates multiple crop simulations with
improved climate change models. AgMIP’s effort has produced new knowledge that
better predicts global wheat yields while reducing political and socio-economic
influences that can skew data and planning efforts, said Bruno Basso, Michigan
State University ecosystem scientist and AgMIP member.