2017
DOI: 10.1073/pnas.1701762114
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Temperature increase reduces global yields of major crops in four independent estimates

Abstract: Wheat, rice, maize, and soybean provide two-thirds of human caloric intake. Assessing the impact of global temperature increase on production of these crops is therefore critical to maintaining global food supply, but different studies have yielded different results. Here, we investigated the impacts of temperature on yields of the four crops by compiling extensive published results from four analytical methods: global grid-based and local point-based models, statistical regressions, and field-warming experime… Show more

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Cited by 1,818 publications
(1,148 citation statements)
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References 28 publications
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“…Zhao et al [62] reported that the global production of wheat declined by 6.0% and maize by 7.4% for each 1 • C increase in the global mean temperature.…”
Section: Effects Of Climate Factors On Regional and National Food Secmentioning
confidence: 99%
“…Zhao et al [62] reported that the global production of wheat declined by 6.0% and maize by 7.4% for each 1 • C increase in the global mean temperature.…”
Section: Effects Of Climate Factors On Regional and National Food Secmentioning
confidence: 99%
“…In addition, increased temperature and changes in rainfall patterns over the next decades will require extra effort to increase grain production [3]. Without efficient selection of adapted plants and improvement in genetic material, a global decrease in production is estimated on the order of 6.0% in wheat, 7.4% in maize, 3.2% in rice and 3.1% in soybean for each degree-Celsius increase in temperature [4].…”
Section: Introductionmentioning
confidence: 99%
“…There are various approaches to answering this question; Makowski et al 2015 infers the climate change impacts on yields at a global scale by using multiple field-scale crop model ensemble data at a limited number of locations. Zhao et al 2017 combines estimates of crop yield response to temperature increase from global gridded crop models, field-scale crop models, statistical yield models and field experiments to inform about adaptation more confidently. A second, more specific, question is how we can utilize research findings at different spatial scales.…”
Section: Improving Harvesting Insights Using Crop Models With Diffementioning
confidence: 99%