Excessive Rainfall Is the Key Meteorological Limiting Factor for Winter Wheat Yield in the Middle and Lower Reaches of the Yangtze River

被引:12
|
作者
Liu, Weiwei [1 ]
Sun, Weiwei [1 ]
Huang, Jingfeng [2 ,3 ,4 ]
Wen, Huayang [5 ]
Huang, Ran [6 ]
机构
[1] Ningbo Univ, Dept Geog & Spatial Informat Tech, Ningbo 315211, Peoples R China
[2] Zhejiang Univ, Inst Appl Remote Sensing & Informat Technol, Hangzhou 310058, Peoples R China
[3] Zhejiang Univ, Key Lab Environm Remediat & Ecol Hlth, Minist Educ, Hangzhou 310058, Peoples R China
[4] Key Lab Agr Remote Sensing & Informat Syst, Hangzhou 310058, Peoples R China
[5] Anhui Meteorol Informat Ctr, Hefei 230031, Peoples R China
[6] Hangzhou Dianzi Univ, Sch Automat, Xiasha Higher Educ Zone, Hangzhou 310018, Peoples R China
来源
AGRONOMY-BASEL | 2022年 / 12卷 / 01期
基金
中国国家自然科学基金;
关键词
extreme climate; extreme rainfall; winter wheat production; EXTREME HEAT; DROUGHT; PRECIPITATION; CLIMATE; STRESS; FLOOD; US;
D O I
10.3390/agronomy12010050
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
In the era of global climate change, extreme weather events frequently occur. Many kinds of agro-meteorological disasters that are closely related to environmental conditions (such as sunshine hours, temperature, precipitation, etc.) are witnessed all over the word. However, which factor dominates winter wheat production in the middle and lower reaches of the Yangtze River remains unresolved. Quantifying the key limiting meteorological factor could deepen our understanding of the impact of climate change on crops and then help us to formulate disaster prevention and mitigation measures. However, the relative role of precipitation, sunshine hours and maximum daily temperature in limiting winter wheat yield in the middle and lower reaches of the Yangtze River is not clear and difficult to decouple. In this study, we used statistical methods to quantify the effect of precipitation, maximum temperature and sunshine hours extremes on winter wheat (Triticum aestivum L.) yield based on long time-series, county-level yield data and a daily meteorological dataset. According to the winter wheat growing season period (October of the sowing year to May of the following year), anomaly values of cumulative precipitation, average sunshine hours and average daily maximum temperature are calculated. With the range of -3 sigma to 3 sigma of anomaly and an interval of 0.5 sigma (sigma is the corresponding standard deviation of cumulative precipitation, mean maximum temperature and mean sunshine hours, respectively), the corresponding weighted yield loss ratio (WYLR) represents the impact of this kind of climate condition on yield. The results show that excessive rainfall is the key limiting meteorological factor that can reduce winter wheat yield to -18.4% in the middle and lower reaches of the Yangtze River, while it is only -0.24% in extreme dry conditions. Moreover, yield loss under extreme temperature and sunshine hours are negligible (-0.66% for extremely long sunshine hours and -8.29% for extreme cold). More detailed analysis results show that the impact of excessive rainfall on winter wheat yield varies regionally, as it causes severe yield reductions in the Huai River basin and the middle to southern part with low elevation and rainy areas of the study area, while for drier areas in the Hubei province, there is even an increase in yield. Our results disclosed with observational evidence that excessive precipitation is the key meteorological limiting factor leading to the reduction in winter wheat yield in the middle and lower reaches of the Yangtze River. The knowledge of the possible impact of climate change on winter wheat yield in the study area allows policy-makers, agronomists and economists to better forecast a plan that differs from the past. In addition, our results emphasized the need for better understanding and further process-based model simulation of the excessive rainfall impact on crop yield.
引用
收藏
页数:15
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