Proctor Jonathan, Zeppetello Lucas Vargas, Chan Duo, Huybers Peter
Food and Resource Economics, Faculty of Land and Food Systems, University of British Columbia, Vancouver, V67 1Z4, Canada.
Environmental Science, Policy, and Management, University of California, Berkeley, Berkeley, CA 94720, USA.
Sci Adv. 2025 Sep 5;11(36):eady3575. doi: 10.1126/sciadv.ady3575. Epub 2025 Sep 3.
Year-to-year variance of agricultural productivity is an important determinant of food security. Previous global analyses described increased yield volatility from warming, but it has become increasingly clear that changes in water availability are also a key determinant of yields. Here, we provide the first global quantification of climate change impacts on maize, soybean, and sorghum yield variance due to changes in temperature and soil moisture. Pairing an empirical crop model with CMIP6 simulations indicates that changes in temperature and soil moisture increase interannual weather-induced yield variance by [Formula: see text] across crops. This increase is driven roughly equally by previously quantified increased temperature stress variance, as well as by increased covariance between temperature and soil moisture stresses. Results using a simple land surface model are consistent with those using CMIP6 simulations in indicating that this increased covariance is driven by warmer air more quickly drying soils and by dry soils promoting greater warming.
农业生产力的逐年变化是粮食安全的一个重要决定因素。以往的全球分析描述了气候变暖导致的产量波动加剧,但越来越明显的是,水资源可利用量的变化也是产量的关键决定因素。在这里,我们首次对气候变化因温度和土壤湿度变化对玉米、大豆和高粱产量变化的影响进行了全球量化。将一个经验作物模型与CMIP6模拟相结合表明,温度和土壤湿度的变化使跨作物的年度间天气诱导产量变化增加了[公式:见正文]。这种增加大致由先前量化的温度胁迫变化增加以及温度与土壤湿度胁迫之间的协方差增加共同驱动。使用简单陆面模型的结果与使用CMIP6模拟的结果一致,表明这种协方差增加是由较暖空气更快地使土壤干燥以及干燥土壤促进更大程度变暖所驱动的。