Climate variation explains a third of global crop yield variability
TL;DR: This study uses detailed crop statistics time series for ~13,500 political units to examine how recent climate variability led to variations in maize, rice, wheat and soybean crop yields worldwide.
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Abstract: Many studies have examined the role of mean climate change in agriculture, but an understanding of the influence of inter-annual climate variations on crop yields in different regions remains elusive. We use detailed crop statistics time series for ~13,500 political units to examine how recent climate variability led to variations in maize, rice, wheat and soybean crop yields worldwide. While some areas show no significant influence of climate variability, in substantial areas of the global breadbaskets, >60% of the yield variability can be explained by climate variability. Globally, climate variability accounts for roughly a third (~32-39%) of the observed yield variability. Our study uniquely illustrates spatial patterns in the relationship between climate variability and crop yield variability, highlighting where variations in temperature, precipitation or their interaction explain yield variability. We discuss key drivers for the observed variations to target further research and policy interventions geared towards buffering future crop production from climate variability.
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References
The variable response of dryland corn yield to soil water content at planting
TL;DR: In this article, the authors used linear regression to determine predictive relationships between dryland corn yield and available soil water at planting time and, if such a relationship exists, to use it to assess the risk in obtaining profitable yields.
90
The effects of natural disasters on farm household income and expenditures: A study on rice farmers in Bangladesh
TL;DR: In this paper, the authors used the difference-in-difference estimation method in a natural experimental setting to find that in the face of a loss in income caused by a tropical cyclone that hit the coastal region in May 2009, cycloneaffected rice farmers spent less on their children's education.
85
Spatio-temporal effects of El Niño events on rainfall and maize yield in Kenya
TL;DR: In this paper, the authors explored the link between El Nino-related variability in rainfall at annual and seasonal scales and national-level maize yield in Kenya and concluded that all El Ninos are not equal in terms of their regional manifestation.
71
Comparison of statistical models for analyzing wheat yield time series.
Lucie Michel,David Makowski +1 more
TL;DR: This study presents eight statistical models for analyzing yield time series and compares their ability to predict wheat yield at the national and regional scales, using data provided by the Food and Agriculture Organization of the United Nations and by the French Ministry of Agriculture.
Food crop production in Nigeria. I. Present effects of climate variability
TL;DR: In this paper, the relationship between crop yield and climate was analyzed using multiple correlation and regression analyses. But, the relationship analysed in this paper is that of crops with complex phases of growth and development responding to a climate that is multivariate, dynamic and heterogeneous.