极热
降水
灵敏度(控制系统)
环境科学
农学
气候学
大气科学
气候变化
地理
气象学
生物
地质学
生态学
工程类
电子工程
作者
Haidong Zhao,Lina Zhang,Nenghan Wan,Tom J. Avenson,Stephen M. Welch,Xiaomao Lin
标识
DOI:10.1088/2515-7620/ad6404
摘要
Abstract Warm temperatures due to increases of greenhouse gas emissions have changed temperature distribution patterns especially for their extremes, which negatively affect crop yields. However, the assessment of these negative impacts remains unclear when surface precipitation patterns are shifted. Using a statistical model along with 23,944 county-year maize-yield data during 1981–2020 in the US Corn Belt, we found that the occurrence of timely precipitation reduced the sensitivity of maize yields to extreme heat by an average of 20% during the growing season with variations across phenological periods. Spatially across the US corn belt, maize in the northern region exhibited more significant benefits from timely precipitation compared to the southern region, despite the pronounced negative effects of extreme heat on yields in cooler regions. This study underscores the necessity of incorporating timely precipitation as a pivotal factor in estimating heat effects under evolving climates, offering valuable insights into complex climate-related challenges.
科研通智能强力驱动
Strongly Powered by AbleSci AI