The world's top ten crops - barley, cassava, maize, oil palm, rapeseed, rice, sorghum, soya bean, sugarcane and wheat - supply a combined 83% of all calories produced on cropland.
Yields have long been projected to decrease in future climate conditions. Now, new research shows climate change has already affected production of these key energy sources - and some regions and countries are faring far worse than others.
The University of Minnesota-led study, conducted with researchers from the University of Oxford and the University of Copenhagen, used weather and reported crop data to evaluate the potential impact of observed climate change. The researchers found that:
• observed climate change causes a significant yield variation in the world's top ten crops, ranging from a decrease of 13.4% for oil palm to an increase of 3.5% for soya bean, and resulting in an average reduction of approximately one percent (-3.5 X 10e13 kcal/year) of consumable food calories from these top 10 crops;
• impacts of climate change on global food production are mostly negative in Europe, Southern Africa, and Australia, generally positive in Latin America, and mixed in Asia and Northern and Central America;
• half of all food-insecure countries are experiencing decreases in crop production - and so are some affluent industrialised countries in Western Europe;
• contrastingly, recent climate change has increased the yields of certain crops in some areas of the upper Midwest United States.
'There are winners and losers, and some countries that are already food insecure fare worse,' says lead author Deepak Ray of the University of Minnesota's Institute on the Environment, whose high-resolution global crop statistics databases have also been used to help to identify how global crop production changes over time. These findings indicate which geographical areas and crops are most at risk, making them relevant to those working to achieve the U.N. Sustainable Development Goals of ending hunger and limiting the effects of climate change. Insights like these lead to new questions and crucial next steps.
'This is a very complex system, so a careful statistical and data science modelling component is crucial to understand the dependencies and cascading effects of small or large changes,' says co-author Snigdhansu Chatterjee of the University of Minnesota's School of Statistics.
The Institute's Global Landscapes Initiative has previously produced global scale findings that have been put to use by international organisations such as the U.N., World Bank and Brookings in evaluation of global food security and environmental challenges. The scholars say this report has implications for major food companies, commodity traders and the countries in which they operate, as well as for citizens worldwide.
'The research documents how change is already happening, not just in some future time,' says Ray.
