Climate and Crop Yields in Australia, Brazil, China, Europe and the United States

S. Hsiang, D. Lobell, M. Roberts, W. Schlenker
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引用次数: 8

Abstract

We examine whether nonlinear relationships between climatic conditions and crop yields are globally generalizable at subnational levels. We match subnational longitudinal administrative data on crop yields for barley, maize, oats, rice, soybeans, and wheat with growing season temperature and rainfall measures across Australia (n=406), Brazil (n=94,299), China (n=38,480), the European Union (n=15,505), and the United States (n=177,069). Using a flexible nonparametric approach that accounts for unobserved differences between locations, we estimate nineteen separate nonlinear climate-yield response surfaces. We verify that high temperatures and low rainfall substantially and significantly reduce crop yields across essentially all contexts and crops, with the exception of rice which tends to display more muted effects. Our results demonstrate a large and generalizable sensitivity of crop yields to climatic conditions across major crops in many of the world’s most productive agricultural regions.
澳大利亚、巴西、中国、欧洲和美国的气候和农作物产量
我们研究了气候条件和作物产量之间的非线性关系是否在次国家层面具有全球普遍性。我们将大麦、玉米、燕麦、水稻、大豆和小麦的次国家纵向管理数据与澳大利亚(n=406)、巴西(n=94,299)、中国(n=38,480)、欧盟(n=15,505)和美国(n=177,069)的生长季节温度和降雨量数据进行了匹配。使用灵活的非参数方法来解释未观察到的地点之间的差异,我们估计了19个独立的非线性气候产量响应面。我们证实,高温和低降雨量基本上会显著降低所有环境和作物的产量,但水稻往往表现出更微弱的影响。我们的研究结果表明,在世界上许多最具生产力的农业区,作物产量对气候条件具有巨大而普遍的敏感性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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