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1961 年至 2012 年,中国稻田极端每小时降水量增加。

Increased extreme hourly precipitation over China's rice paddies from 1961 to 2012.

机构信息

Laboratory for Earth Surface Processes, Sino-France Institute of Earth Systems Science, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, People's Republic of China.

出版信息

Sci Rep. 2020 Jun 30;10(1):10609. doi: 10.1038/s41598-020-67429-0.

Abstract

Rice yield have been affected by the increased extreme precipitation events in recent decades. Yet, the spatio-temporal patterns of extreme precipitation by rice type and phenology remain elusive. Here, we investigate the characteristics of four extreme precipitation indices across China's rice paddy and their potential association with crop yields, by using hourly precipitation data from 1,215 stations and rice phenology observations from 45 sub-regions. The data indicate that hourly extreme precipitation have significantly increased in 1961-2012 for single rice and early rice in China but not for late rice. Rice were mainly exposed to extreme precipitation from transplantation to flowering stages. The frequency and proportion of extreme precipitation were significantly increased by 2.0-4.7% and 2.3-2.9% per decade, respectively, mainly in south China and Yangtze River Basin. The precipitation intensity and maximum hourly precipitation were increased by 0.7-1.1% and 0.9-2.8% per decade, respectively, mainly in central China and southeast coastal area. These extreme precipitation indices played a role as important as accumulated precipitation and mean temperature on the interannual variability of rice yields, regardless of rice types. Our results also highlight the urgencies to uncover the underlying mechanisms of extreme precipitation on rice growth, which in turn strengthens the predictability of crop models.

摘要

近几十年来,极端降水事件的增加已经影响了水稻的产量。然而,不同水稻类型和物候期的极端降水的时空模式仍不清楚。在这里,我们利用 1215 个站点的每小时降水数据和 45 个分区的水稻物候观测数据,研究了中国水稻种植区的四个极端降水指数的特征及其与作物产量的潜在关系。数据表明,1961-2012 年,中国单季稻和早稻的每小时极端降水显著增加,但晚稻没有增加。水稻主要在移栽到开花期受到极端降水的影响。极端降水的频率和比例每十年分别显著增加了 2.0-4.7%和 2.3-2.9%,主要集中在中国南方和长江流域。降水强度和最大每小时降水量每十年分别增加了 0.7-1.1%和 0.9-2.8%,主要集中在华中地区和东南沿海地区。这些极端降水指数对水稻产量的年际变化的作用与累积降水和平均温度一样重要,而与水稻类型无关。我们的研究结果还强调了揭示极端降水对水稻生长影响的潜在机制的紧迫性,这反过来又增强了作物模型的可预测性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0bf9/7326977/1df2167802c0/41598_2020_67429_Fig1_HTML.jpg

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