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

被引:9
|
作者
Gu, Xiaohe [1 ]
Wang, Lei [1 ]
Zhuang, Wei [2 ]
Han, Lijian [3 ]
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
基金
中国国家自然科学基金;
关键词
Agriculture; air pollution; fine particulate matter (PM2.5); photosynthesis; PARTICLES PM2.5; IMPACT;
D O I
10.1080/09603123.2018.1499881
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
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)
引用
收藏
页码:635 / 641
页数:7
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