Assessment of O3-induced crop yield losses in northern China during 2013-2018 using high-resolution air quality reanalysis data
Assessment of O3-induced crop yield losses in northern China during 2013-2018 using high-resolution air quality reanalysis data
复制标题
利用高分辨率空气质量再分析数据评估2013-2018年中国北方地区O3引起的农作物减产
DOI：
10.1016/j.atmosenv.2021.118527
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发表时间：
2021-06
影响因子：
5
通讯作者：
Likun Xue
中科院分区：
文献类型：
--
作者：
Can Dong;Rui Gao;Xin Zhang;Hong Li;Wenxing Wang;Likun Xue
粮食作物长期暴露于高浓度的环境臭氧（O3）中会导致产量显著下降。在我国，尤其是在农业资源丰富、臭氧浓度高的华北平原，O3引起的作物损失研究还很有限。在这项研究中，我们量化了2013-2018年期间，通过使用高分辨率的空气质量再分析数据集和土地利用数据集，在NCP和山西省的小麦和玉米O3引起的不利影响。结果表明，2013年至2018年，农田中超过40 ppb（AOT 40）的O3累积小时浓度呈上升趋势，小麦生长期每年增加2.2 ppm h（18.1%），玉米生长期每年增加1.5 ppm h（10.9%）。O3引起的小麦相对产量损失从2013年的17.9%增加到2018年的38.6%，玉米从7.5%增加到11.9%。估计的作物生产损失也随着时间的推移而增加。山东和河北是农作物损失的热点地区，应优先防治O3污染。与以往研究的比较表明，作物损失估计仍然存在不确定性。应开展更多的农村O3测量和本地化的作物光合响应实验，以更好地评估O3。
Long-term exposure of food crops to high concentrations of ambient ozone (O3) can cause significant yield reductions. O3-induced crop loss studies are limited in China, especially in the North China Plain (NCP) where agricultural resources are abundant and O3concentrations are high. In this study, we quantify the O3-induced adverse impacts on wheat and maize over the NCP and Shanxi province during 2013–2018 through the use of high-resolution air quality reanalysis dataset and land-use dataset. Results show that the accumulated hourly O3concentration above 40 ppb (AOT40) in croplands experienced an upward trend, with an annual increase of 2.2 ppm h (18.1%) during the wheat growing period and 1.5 ppm h (10.9%) during the maize growing period from 2013 to 2018. O3-induced relative yield losses grew from 17.9% in 2013 to 38.6% in 2018 for wheat, and ranged from 7.5 to 11.9% for maize. The estimated crop production losses also increased over time. Shandong and Hebei provinces are the hot spots of crop losses and priorities should be given to them for O3pollution prevention. Comparison with previous studies shows that uncertainties still exist in crop loss estimations. More rural O3measurements and localized crop exposure-response experiments should be performed for better assessments.
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DOI：
10.1016/s0140-6736(17)30505-6
发表时间：
2017-05-13
期刊：
Lancet (London, England)
影响因子：
--
作者：
Cohen AJ;Brauer M;Burnett R;Anderson HR;Frostad J;Estep K;Balakrishnan K;Brunekreef B;Dandona L;Dandona R;Feigin V;Freedman G;Hubbell B;Jobling A;Kan H;Knibbs L;Liu Y;Martin R;Morawska L;Pope CA 3rd;Shin H;Straif K;Shaddick G;Thomas M;van Dingenen R;van Donkelaar A;Vos T;Murray CJL;Forouzanfar MH
通讯作者：
Forouzanfar MH
影响因子：
8.9
作者：
Jinlong Peng;Bo Shang;Yansen Xu;Zhaozhong Feng;H. Pleijel;V. Calatayud
通讯作者：
Jinlong Peng;Bo Shang;Yansen Xu;Zhaozhong Feng;H. Pleijel;V. Calatayud
DOI：
10.1002/2016jd025623
发表时间：
2016-11
期刊：
Journal of Geophysical Research: Atmospheres
影响因子：
--
作者：
Ke Li;H. Liao;Jia Zhu;J. Moch
通讯作者：
Ke Li;H. Liao;Jia Zhu;J. Moch
影响因子：
11.8
作者：
Feng, Zhaozhong;De Marco, Alessandra;Paoletti, Elena
通讯作者：
Paoletti, Elena
影响因子：
11.6
作者：
Xinkai Zhu;Zhaozhong Feng;Tao-fang Sun;Xiao-cheng Liu;Haoye Tang;Jianguo Zhu;Wenshan Guo;K. Kobayashi
通讯作者：
Xinkai Zhu;Zhaozhong Feng;Tao-fang Sun;Xiao-cheng Liu;Haoye Tang;Jianguo Zhu;Wenshan Guo;K. Kobayashi