Overall, year-to-year changes in climate factors during the growing  season of maize, rice, soy and spring wheat accounted for 20%-49% of  yield fluctuations, according to research published in Environmental  Research Letters.Climate extremes, such as hot and cold temperature extremes, drought and  heavy precipitation, by themselves accounted for 18%-43% of these  interannual variations in crop yield.To get to the bottom of the impacts of climate extremes on agricultural  yields, the researchers used a global agricultural database at high  spatial resolution, and near-global coverage climate and climate  extremes datasets. They applied a machine-learning algorithm, Random  Forests, to tease out which climate factors played the greatest role in  influencing crop yields.
Dr. Elisabeth Vogel from the Centre of Excellence for Climate Extremes  and Climate & Energy College at the University of Melbourne:“Interestingly,  we found that the most important climate factors for yield anomalies  were related to temperature, not precipitation, as one could expect,  with the average growing season temperature and temperature extremes  playing a dominant role in predicting crop yields.” The research also revealed global hotspots – areas that produce a large  proportion of the world’s crop production, yet are most susceptible to  climate variability and extremes.
 
Indicators ranking global and regional production by relevance for total crop production and sensitivity to climate functions.  Indicators i-iv: i) share of a region’s crop production relative to  global production in 1990-2008 (%), ii) mean variability of regional  production (SD of anomalies relative to mean production, in %), iii) the  extent to which production anomalies are associated with yield  anomalies (R^2 of regression of between production anomalies calculated  from yields anomalies vs. actual production anomalies, iv) the explained  function of variance of yields anomalies, predicted by climate  conditions (a – all climate factors, b – contribution of extreme  events). Indicators A and B are the aggregate of indicators i, ii, iii  and iv a / iv b (calculated as geometric mean). Numbers in bold  highlight the six largest values in each column for all continent-crop  combinations (without global values).
For climate extremes specifically, the researchers identified North  America for soy and spring wheat production, Europe for spring wheat and  Asia for rice and maize production as hotspots.
But, as the  researchers point out, global markets are not the only concern. Outside  of these major regions, in regions where communities are highly  dependent on agriculture for their livelihoods, the failure of these  staple crops can be devastating.
Elisabeth Vogel:“We found that most of these  hotspots – regions that are critical for overall production and at the  same time strongly influenced by climate variability and climate  extremes – appear to be in industrialised crop production regions, such  as North America and Europe.”“With climate change predicted to  change the variability of climate and increasing the likelihood and  severity of climate extremes in most regions, our research highlights  the importance of adapting food production to these changes.”“Increasing  the resilience to climate extremes requires a concerted effort at  local, regional and international levels to reduce negative impacts for  farmers and communities depending on agriculture for their living.”
Participating Researchers
Dr Vogel would  like to acknowledge her co-authors on the paper Markus Donat (Barcelona  Supercomputing Centre), Lisa Alexander (UNSW, Centre of Excellence for  Climate Extremes), Malte Meinshausen (University of Melbourne), Deepak  Ray (University of Minnesota), David Karoly (University of  Melbourne/CSIRO), Nicolai Meinshausen (ETH Zurich) and Katja Frieler  (Potsdam Institute for Climate Impact Research).