The State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, China; Lancaster Environment Centre, Lancaster University, LA1 4YQ, United Kingdom.
Lancaster Environment Centre, Lancaster University, LA1 4YQ, United Kingdom.
Environ Pollut. 2022 Jan 1;292(Pt A):118218. doi: 10.1016/j.envpol.2021.118218. Epub 2021 Sep 24.
Exposure of crops to high concentrations of ozone can cause substantial reductions in yield that pose a serious threat to global food security. Here we provide comprehensive estimates of yield losses for key crops across China between 2014 and 2017 attributed to ozone using a number of new approaches. We use an air quality model at 5 km resolution and crop-specific dose-response functions developed for both concentration- and flux-based metrics. We bias correct modelled ozone concentrations and metrics using observations from more than 1000 locations. We find that on a 4-year average basis, production losses of key crops are 34-91 million metric tonnes (Mt/yr), dependent on the approach used, with highest losses in Henan province. At a national level, loss of winter wheat production derived using a China-specific dose-response function increased by 82% from 2014 to 2017, with large interannual variations in the North China Plain and in eastern China. Winter wheat losses estimated using flux-based functions, which require robust simulation of stomatal conductance and underlying vegetation physiology, are significantly lower, at 30 Mt/yr. We show that the definition of the growing season may have a greater impact on estimated losses than small biases in ozone surface concentrations. Although uncertainties remain, our findings demonstrate that increasing ozone concentrations have substantial adverse impacts on crop yields and threaten food security in China. It is important to control ozone concentrations to mitigate these negative impacts.
农作物暴露在高浓度的臭氧中会导致产量大幅减少,这对全球粮食安全构成了严重威胁。在这里,我们使用多种新方法,对 2014 年至 2017 年期间中国主要农作物因臭氧导致的产量损失进行了全面估计。我们使用分辨率为 5 公里的空气质量模型和针对浓度和通量两种指标制定的作物特异性剂量反应函数。我们使用来自 1000 多个地点的观测数据对模拟臭氧浓度和指标进行了偏差修正。我们发现,在四年的平均水平上,主要农作物的产量损失为 3400 万至 9100 万吨/年,具体取决于所使用的方法,其中河南省的损失最大。在全国范围内,使用特定于中国的剂量反应函数计算的冬小麦产量损失从 2014 年到 2017 年增加了 82%,华北平原和中国东部地区的年际变化较大。使用通量基函数估计的冬小麦损失要低得多,为 3000 万吨/年,这是因为需要稳健模拟气孔导度和基础植被生理学。我们表明,生长季节的定义对估计损失的影响可能大于臭氧表面浓度的小偏差。尽管存在不确定性,但我们的研究结果表明,臭氧浓度的增加对作物产量有重大的不利影响,并威胁到中国的粮食安全。控制臭氧浓度以减轻这些负面影响非常重要。