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Reduction of wheat photosynthesis by fine particulate (PM2.5) pollution over the North China Plain

文献类型： 外文期刊

作者： Gu, Xiaohe 1 ; Wang, Lei 1 ; Zhuang, Wei 2 ; Han, Lijian 3 ;

作者机构： 1.Minist Agr PR China, Beijing Res Ctr Informat Technol Agr, Key Lab Quantitat Remote Sensing Agr, Beijing 100097, Peoples R China

2.Marlabs Inc, Piscataway Township, NJ USA

3.Chinese Acad Sci, Res Ctr Ecoenvironm Sci, State Key Lab Urban & Reg Ecol, Beijing 100085, Peoples R China

关键词： Agriculture; air pollution; fine particulate matter (PM2.5); photosynthesis

期刊名称：INTERNATIONAL JOURNAL OF ENVIRONMENTAL HEALTH RESEARCH （ 影响因子：3.411； 五年影响因子：2.768 ）

ISSN： 0960-3123

年卷期： 2018 年 28 卷 6 期

页码：

收录情况： SCI

摘要： The negative impact of rapid urbanization in developing countries has led to a deterioration of urban and regional air quality. Much attention has been given to the impact of fine particulate pollution on urban public health. However, very little attention has been given to its impact on the regional ecosystem such as the agricultural ecosystem. Thus, we evaluate the direct impact of air pollution on the reduction of wheat photosynthesis by fine particulate matter (PM2.5) pollution in the world's most heavily polluted area, the North China Plain, using remote sensing observations and ground measurements. We found the following to be true: (1) Heavy PM2.5 pollution could significantly reduce wheat photosynthesis and cause an expositional relationship between the PM2.5 concentration and wheat photosynthesis (R-2=0.9824, P<0.05); (2) Heavy PM2.5 pollution makes up 2% for the reduction in wheat photosynthesis at all wheat-plant farmlands in the North China Plain, approximately covering an area of 354,400km(2); (3) Increasing heavy PM2.5 pollution significantly reduced wheat photosynthesis by 87% in wheat-planted farmland during 1999-2011. We hope the results presented here could draw attention to the effect of PM2.5 pollution on the agricultural ecosystem and encourage further studies to evaluate the feedback of atmospheric pollution on the agricultural ecosystem using remote sensing.Abbreviation: Northern China Plain (NCP); normalized difference vegetation index (NDVI); The Moderate Resolution Imaging Spectroradiometer (MODIS); fine particulate matter (PM2.5)

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